Abstract
Background
Bisphosphonates and receptor activator of nuclear factor‐kappa B ligand (RANKL)‐inhibitors are amongst the bone‐modifying agents used as supportive treatment in women with breast cancer who do not have bone metastases. These agents aim to reduce bone loss and the risk of fractures. Bisphosphonates have demonstrated survival benefits, particularly in postmenopausal women.
Objectives
To assess and compare the effects of different bone‐modifying agents as supportive treatment to reduce bone mineral density loss and osteoporotic fractures in women with breast cancer without bone metastases and generate a ranking of treatment options using network meta‐analyses (NMAs).
Search methods
We identified studies by electronically searching CENTRAL, MEDLINE and Embase until January 2023. We searched various trial registries and screened abstracts of conference proceedings and reference lists of identified trials.
Selection criteria
We included randomised controlled trials comparing different bisphosphonates and RANKL‐inihibitors with each other or against no further treatment or placebo for women with breast cancer without bone metastases.
Data collection and analysis
Two review authors independently extracted data and assessed the risk of bias of included studies and certainty of evidence using GRADE. Outcomes were bone mineral density, quality of life, overall fractures, overall survival and adverse events. We conducted NMAs and generated treatment rankings.
Main results
Forty‐seven trials (35,163 participants) fulfilled our inclusion criteria; 34 trials (33,793 participants) could be considered in the NMA (8 different treatment options).
Bone mineral density
We estimated that the bone mineral density of participants with no treatment/placebo measured as total T‐score was ‐1.34. Evidence from the NMA (9 trials; 1166 participants) suggests that treatment with ibandronate (T‐score ‐0.77; MD 0.57, 95% CI ‐0.05 to 1.19) may slightly increase bone mineral density (low certainty) and treatment with zoledronic acid (T‐score ‐0.45; MD 0.89, 95% CI 0.62 to 1.16) probably slightly increases bone mineral density compared to no treatment/placebo (moderate certainty). Risedronate (T‐score ‐1.08; MD 0.26, 95% CI ‐0.32 to 0.84) may result in little to no difference compared to no treatment/placebo (low certainty). We are uncertain whether alendronate (T‐score 2.36; MD 3.70, 95% CI ‐2.01 to 9.41) increases bone mineral density compared to no treatment/placebo (very low certainty).
Quality of life
No quantitative analyses could be performed for quality of life, as only three studies reported this outcome. All three studies showed only minimal differences between the respective interventions examined.
Overall fracture rate
We estimated that 70 of 1000 participants with no treatment/placebo had fractures. Evidence from the NMA (16 trials; 19,492 participants) indicates that treatment with clodronate or ibandronate (42 of 1000; RR 0.60, 95% CI 0.39 to 0.92; 40 of 1000; RR 0.57, 95% CI 0.38 to 0.86, respectively) decreases the number of fractures compared to no treatment/placebo (high certainty). Denosumab or zoledronic acid (51 of 1000; RR 0.73, 95% CI 0.52 to 1.01; 55 of 1000; RR 0.79, 95% CI 0.56 to 1.11, respectively) probably slightly decreases the number of fractures; and risedronate (39 of 1000; RR 0.56, 95% CI 0.15 to 2.16) probably decreases the number of fractures compared to no treatment/placebo (moderate certainty). Pamidronate (106 of 1000; RR 1.52, 95% CI 0.75 to 3.06) probably increases the number of fractures compared to no treatment/placebo (moderate certainty).
Overall survival
We estimated that 920 of 1000 participants with no treatment/placebo survived overall. Evidence from the NMA (17 trials; 30,991 participants) suggests that clodronate (924 of 1000; HR 0.95, 95% CI 0.77 to 1.17), denosumab (927 of 1000; HR 0.91, 95% CI 0.69 to 1.21), ibandronate (915 of 1000; HR 1.06, 95% CI 0.83 to 1.34) and zoledronic acid (925 of 1000; HR 0.93, 95% CI 0.76 to 1.14) may result in little to no difference regarding overall survival compared to no treatment/placebo (low certainty). Additionally, we are uncertain whether pamidronate (905 of 1000; HR 1.20, 95% CI 0.81 to 1.78) decreases overall survival compared to no treatment/placebo (very low certainty).
Osteonecrosis of the jaw
We estimated that 1 of 1000 participants with no treatment/placebo developed osteonecrosis of the jaw. Evidence from the NMA (12 trials; 23,527 participants) suggests that denosumab (25 of 1000; RR 24.70, 95% CI 9.56 to 63.83), ibandronate (6 of 1000; RR 5.77, 95% CI 2.04 to 16.35) and zoledronic acid (9 of 1000; RR 9.41, 95% CI 3.54 to 24.99) probably increases the occurrence of osteonecrosis of the jaw compared to no treatment/placebo (moderate certainty). Additionally, clodronate (3 of 1000; RR 2.65, 95% CI 0.83 to 8.50) may increase the occurrence of osteonecrosis of the jaw compared to no treatment/placebo (low certainty).
Renal impairment
We estimated that 14 of 1000 participants with no treatment/placebo developed renal impairment. Evidence from the NMA (12 trials; 22,469 participants) suggests that ibandronate (28 of 1000; RR 1.98, 95% CI 1.01 to 3.88) probably increases the occurrence of renal impairment compared to no treatment/placebo (moderate certainty). Zoledronic acid (21 of 1000; RR 1.49, 95% CI 0.87 to 2.58) probably increases the occurrence of renal impairment while clodronate (12 of 1000; RR 0.88, 95% CI 0.55 to 1.39) and denosumab (11 of 1000; RR 0.80, 95% CI 0.54 to 1.19) probably results in little to no difference regarding the occurrence of renal impairment compared to no treatment/placebo (moderate certainty).
Authors' conclusions
When considering bone‐modifying agents for managing bone loss in women with early or locally advanced breast cancer, one has to balance between efficacy and safety. Our findings suggest that bisphosphonates (excluding alendronate and pamidronate) or denosumab compared to no treatment or placebo likely results in increased bone mineral density and reduced fracture rates. Our survival analysis that included pre and postmenopausal women showed little to no difference regarding overall survival. These treatments may lead to more adverse events. Therefore, forming an overall judgement of the best ranked bone‐modifying agent is challenging. More head‐to‐head comparisons, especially comparing denosumab with any bisphosphonate, are needed to address gaps and validate the findings of this review.
Keywords: Female, Humans, Bone Density, Bone Density/drug effects, Bone Density Conservation Agents, Bone Density Conservation Agents/therapeutic use, Breast Neoplasms, Breast Neoplasms/drug therapy, Clodronic Acid, Clodronic Acid/therapeutic use, Denosumab, Denosumab/therapeutic use, Diphosphonates, Diphosphonates/therapeutic use, Ibandronic Acid, Ibandronic Acid/therapeutic use, Osteoporosis, Osteoporosis/drug therapy, Osteoporotic Fractures, Osteoporotic Fractures/prevention & control, Pamidronate, Pamidronate/therapeutic use, Quality of Life, Randomized Controlled Trials as Topic, RANK Ligand, RANK Ligand/antagonists & inhibitors, RANK Ligand/therapeutic use, Risedronic Acid, Risedronic Acid/therapeutic use, Zoledronic Acid, Zoledronic Acid/therapeutic use
Plain language summary
Do bone‐modifying medicines help reduce bone loss in women with early or locally advanced breast cancer?
Key messages
• Giving medicines that slow down bone breakdown (bone‐modifying medicines) likely helps make bones stronger and lowers the chance of fractures, but it might also lead to more unwanted effects. • Because each treatment has its own benefits and drawbacks, it is difficult to determine which medicine is the best option. • We need more studies where these medicines are compared directly to each other.
What is bone loss and why do people with cancer develop it?
Bone loss means that more old bone is broken down than new bone is formed, causing an imbalance. Bone‐modifying medicines called bisphosphonates or denosumab can help by slowing down the breakdown of bone. Women with breast cancer are especially prone to bone loss because cancer treatments can weaken bones, making them more susceptible to fractures.
What did we want to find out?
We wanted to identify which medicines work best for reducing bone loss in women with breast cancer and if they have any unwanted effects. We wanted to know whether these medicines:
• make bones stronger ('bone density'); • improve how women feel and function in their daily lives; • lower the chance of having fractures; • increase how long women live; and • have unwanted effects such as damage to the jaw bone ('osteonecrosis of the jaw') or kidney issues.
What did we do?
We looked for studies that compared different bone‐modifying medicines for reducing bone loss resulting from early or locally advanced breast cancer. We compared their findings, summarised the results, and assessed how confident we were in the evidence, based on how the studies were done and how many people took part. We used statistics to compare multiple treatments against each other and rank them based on how well they worked and any unwanted effects.
What did we find?
We found 47 studies involving 35,163 people at different ages and with different stages of breast cancer. They received either bone‐modifying medicines (bisphosphonates or denosumab) or placebo/no treatment, alongside cancer treatment. Cancer treatment may include chemotherapy, endocrine therapy and/or radiotherapy.
Thirty‐four studies involving 33,793 people reported data that could be included in this review. These studies compared eight different bone‐modifying agents to reduce bone loss.
Most bone‐modifying medicines (except alendronate and pamidronate) seem to improve bone density (9 trials; 1166 people) and lower the risk of fractures (16 trials; 19,492 people).
Bone‐modifying medicines do not seem to have an impact on quality of life (only three studies; no quantitative analysis).
This review suggests that these medicines might not affect survival when including both pre and postmenopausal women (17 trials; 30,991 people).
These medicines can cause more unwanted effects such as osteonecrosis of the jaw (12 trials; 23,527 people). The bisphosphonate, clodronate, and denosumab, might not affect kidney function, while ibandronate and zoledronic acid could increase the risk of kidney problems compared to no treatment or placebo (12 trials; 22,469 people).
What are the limitations of the evidence?
Overall, we are moderately confident in the evidence that one treatment is better or worse than another. Our confidence is limited because we sometimes observe conflicting results for the same treatments.
We did not have enough evidence to reach a firm conclusion on which treatments are the best. This is because not all the studies provided the information we needed, so we could not compare every treatment for each outcome.
How up‐to‐date is the evidence?
The evidence is up‐to‐date until January 2023.
Summary of findings
Summary of findings 1. Summary of findings.
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Patient or population: adult women (18 years of age and older) with a confirmed diagnosis of early or locally advanced breast cancer Intervention: bone‐modifying agents (alendronate, clodronate, denosumab, ibandronate, pamidronate, risedronate, zoledronic acid) Comparison: no treatment/placebo Settings: inpatient and outpatient care | |||||
| Outcomes | Anticipated absolute effects (95% CI)1 | Relative effects (95% CI)2 | Certainty of the evidence (GRADE)3 | Interpretation of findings | |
| Comparator | Intervention | ||||
|
Bone mineral density4 (Subnet based on 9 studies including 1166 participants; outcome measured for a follow‐up between one and five years) |
No treatment/placebo Total T‐score: ‐1.34 |
Alendronate 2.36 (‐3.35 to 8.07) |
MD 3.70 (‐2.01 to 9.41) |
⊕⊝⊝⊝ very lowbc |
We are uncertain whether alendronate increases bone mineral density compared to no treatment/placebo. |
| Clodronate n.r. |
‐ | ‐ | ‐ | ||
| Denosumab n.r. |
‐ | ‐ | ‐ | ||
| Ibandronate ‐0.77 (‐1.39 to ‐0.15) |
MD 0.57 (‐0.05 to 1.19) |
⊕⊕⊝⊝ lowab |
Treatment with ibandronate may slightly increase bone mineral density compared to no treatment/placebo. |
||
| Pamidronate n.r. |
‐ | ‐ | ‐ | ||
| Risedronate ‐1.08 (‐1.66 to ‐0.50) |
MD 0.26 (‐0.32 to 0.84) |
⊕⊕⊝⊝ lowab |
Treatment with risedronate may result in little to no difference regarding bone mineral density compared to no treatment/placebo. |
||
| Zoledronic acid ‐0.45 (‐0.72 to ‐0.18) |
MD 0.89 (0.62 to 1.16) |
⊕⊕⊕⊝ moderateb |
Treatment with zoledronic acid probably slightly increases bone mineral density compared to no treatment/placebo. |
||
|
Quality of life5 (3 studies including 1032 participants; only narrative) |
See comment | See comment | Not estimable | See comment | All three studies showed only minimal differences in quality of life between the respective interventions examined. |
|
Fracture rate (Subnet based on 16 studies including 19,492 participants; outcome measured for a follow‐up between one and ten years) |
No treatment/placebo 70 per 1000 |
Alendronate n.r. |
‐ | ‐ | ‐ |
| Clodronate 42 per 1000 (27 to 64) |
RR 0.60 (0.39 to 0.92) |
⊕⊕⊕⊕ high |
Treatment with clodronate decreases the number of fractures compared to no treatment/placebo. | ||
| Denosumab 51 per 1000 (36 to 71) |
RR 0.73 (0.52 to 1.01) |
⊕⊕⊕⊝ moderatea |
Treatment with denosumab probably slightly decreases the number of fractures compared to no treatment/placebo. | ||
| Ibandronate 40 per 1000 (27 to 60) |
RR 0.57 (0.38 to 0.86) |
⊕⊕⊕⊕ high |
Treatment with ibandronate decreases the number of fractures compared to no treatment/placebo. | ||
| Pamidronate 106 per 1000 (53 to 214) |
RR 1.52 (0.75 to 3.06) |
⊕⊕⊕⊝ moderatea |
Treatment with pamidronate probably increases the number of fractures compared to no treatment/placebo. | ||
| Risedronate 39 per 1000 (11 to 151) |
RR 0.56 (0.15 to 2.16) |
⊕⊕⊝⊝ lowc |
Treatment with risedronate may decrease or increase the number of fractures compared to no treatment/placebo. | ||
| Zoledronic acid 55 per 1000 (39 to 78) |
RR 0.79 (0.56 to 1.11) |
⊕⊕⊕⊝ moderatea |
Treatment with zoledronic acid probably slightly decreases the number of fractures compared to no treatment/placebo. | ||
|
Overall survival (Subnet based on 17 studies including 30,991 participants; outcome measured for a follow‐up between two and ten years) |
No treatment/placebo 920 per 1000 |
Alendronate n.r. |
‐ | ‐ | ‐ |
| Clodronate 924 per 1000 (907 to 938) |
HR 0.95 (0.77 to 1.17) |
⊕⊕⊝⊝ lowab |
Treatment with clodronate may result in little to no difference regarding overall survival compared to no treatment/placebo. | ||
| Denosumab 927 per 1000 (904 to 944) |
HR 0.91 (0.69 to 1.21) |
⊕⊕⊝⊝ lowab |
Treatment with denosumab may result in little to no difference regarding overall survival compared to no treatment/placebo. | ||
| Ibandronate 915 per 1000 (894 to 933) |
HR 1.06 (0.83 to 1.34) |
⊕⊕⊝⊝ lowab |
Treatment with ibandronate may result in little to no difference regarding overall survival compared to no treatment/placebo. | ||
| Pamidronate 905 per 1000 (862 to 935) |
HR 1.20 (0.81 to 1.78) |
⊕⊝⊝⊝ very lowbc |
We are uncertain whether treatment with pamidronate decreases overall survival compared to no treatment/placebo. | ||
| Risedronate n.r. |
‐ | ||||
| Zoledronic acid 925 per 1000 (909 to 939) |
HR 0.93 (0.76 to 1.14) |
⊕⊕⊝⊝ lowab |
Treatment with zoledronic acid may result in little to no difference regarding overall survival compared to no treatment/placebo. | ||
|
Adverse event: Osteonecrosis of the jaw (Subnet based on 12 studies including 23,527 participants; outcome measured for a follow‐up between one and eight years) |
No treatment/placebo 1 per 1000 |
Alendronate n.r. |
‐ | ‐ | ‐ |
| Clodronate 3 per 1000 (1 to 9) |
RR 2.65 (0.83 to 8.50) |
⊕⊕⊝⊝ lowc |
Treatment with clodronate may increase the occurrence of osteonecrosis of the jaw compared to no treatment/placebo. | ||
| Denosumab 25 per 1000 (10 to 64) |
RR 24.70 (9.56 to 63.83) |
⊕⊕⊕⊝ moderated |
Treatment with denosumab probably increases the occurrence of osteonecrosis of the jaw compared to no treatment/placebo. | ||
| Ibandronate 6 per 1000 (2 to 16) |
RR 5.77 (2.04 to 16.35) |
⊕⊕⊕⊝ moderated |
Treatment with ibandronate probably increases the occurrence of osteonecrosis of the jaw compared to no treatment/placebo. | ||
| Pamidronate n.r. |
‐ | ‐ | ‐ | ||
| Risedronate n.r. |
‐ | ‐ | ‐ | ||
| Zoledronic acid 9 per 1000 (4 to 25) |
RR 9.41 (3.54 to 24.99) |
⊕⊕⊕⊝ moderated |
Treatment with zoledronic acid probably increases the occurrence of osteonecrosis of the jaw compared to no treatment/placebo. | ||
|
Adverse event: renal impairment (Subnet based on 12 studies including 22,469 participants; outcome measured for a follow‐up between one and eight years) |
No treatment/placebo 14 per 1000 |
Alendronate n.r. |
‐ | ‐ | ‐ |
| Clodronate 12 per 1000 (8 to 19) |
RR 0.88 (0.55 to 1.39) |
⊕⊕⊕⊝ moderatea |
Treatment with clodronate probably results in little to no difference regarding occurrence of renal impairment compared to no treatment/placebo. | ||
| Denosumab 11 per 1000 (8 to 17) |
RR 0.80 (0.54 to 1.19) |
⊕⊕⊕⊝ moderatea |
Treatment with denosumab probably results in little to no difference regarding occurrence of renal impairment compared to no treatment/placebo. | ||
| Ibandronate 28 per 1000 (15 to 54) |
RR 1.98 (1.01 to 3.88) |
⊕⊕⊕⊝ moderated |
Treatment with ibandronate probably increases occurrence of renal impairment compared to no treatment/placebo. | ||
| Pamidronate n.r. |
‐ | ‐ | ‐ | ||
| Risedronate n.r. |
‐ | ‐ | ‐ | ||
| Zoledronic acid 21 per 1000 (12 to 36) |
RR 1.49 (0.87 to 2.58) |
⊕⊕⊕⊝ moderatea |
Treatment with zoledronic acid probably increases occurrence of renal impairment compared to no treatment/placebo. | ||
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1 Baseline risks obtained from the respective study population. For bone mineral density the average total T‐Score from all control groups is used. For overall survival the 5‐year‐survival from Team IIB 2006 is used. 2 Results from network meta‐analysis (random‐effects model). Network estimates are reported as risk ratio, hazard ratio or mean difference with corresponding 95% confidence interval. 3 We would have downgraded for risk of bias, only if the sensitivity analysis excluding studies with high risk of bias yielded different results than the main analysis. 4 Bone mineral density measured as T‐score. The T‐score is a standard deviation and measures how much the bone mineral density differs from that of an average healthy young woman. A T‐score between +1 and ‐1 ist considered normal or healthy. The greater the negative T‐score, the lower the bone mass; the higher the positive T‐Score, the higher the bone mass. A T‐score of ‐2.5 or lower indicates osteoporosis. 5 Quality of life was reported poorly in the included studies. Only three studies reported results, so no quantitative analysis could be performed. a Downgraded one level for imprecision since 95% CI is wide and/or crosses unity b Downgraded one level for inconsistency (heterogeneity) c Downgraded two levels for imprecision since 95% CI is very wide and crosses unity d Downgraded one level for imprecision, although 95% CI is very wide, but it does not cross unity and shows a very strong effect CI: confidence interval; HR: hazard ratio; MD: mean difference; n.r.: not reported; RR: risk ratio | |||||
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GRADE Working Group grades of evidence (or certainty in the evidence) High quality: We are very confident that the true effect lies close to that of the estimate of the effect Moderate quality: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different Low quality: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect Very low quality: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect | |||||
Background
Description of the condition
Breast cancer remains the most common cancer amongst women, accounting for 11.6% of all cancer occurrences (Bray 2018). In 2018, there were more than 2 million new cases of breast cancer worldwide. In the same year 626,679 women died from the disease (Bray 2018).
While long‐term outcomes are improving for women with breast cancer, rates of recurrence and death are still significantly high (Aft 2012; Dhesy‐Thind 2017). Anti‐cancer therapy can lead to a reduction in bone density and a higher risk of osteoporosis (Gnant 2009; Gnant 2011; Hadji 2014). Based on a guideline for supportive care in oncology, the incidence rate of breast cancer patients developing osteoporosis is 18.07 per 1000 person‐years (meaning, on average, 18.07 patients develop osteoporosis in 1000 breast cancer patients observed for one year; Khan 2011), which significantly enhances the risk of fractures. The incidence rate is largely influenced by factors such as therapy‐induced menopause as well as oestrogen suppression therapy. Supportive treatments (e.g. corticosteroids) may also harm the bone (Greep 2003; Hadji 2009). Osteoporosis may lead to bone fracture and this, in turn, may require surgery. Bone fracture is associated with an increased mortality rate; for example, a study by Kanis and colleagues found that men and women aged 50 years or older who had suffered a hip fracture had a much higher mortality rate soon after the event (Kanis 2003). In the same study, the five‐year mortality rates increased in all age groups, compared to the general population in Sweden (Kanis 2003). That is why it is important to reduce the loss of bone density in breast cancer patients (Kanis 2008).
Premenopausal women with hormone receptor‐positive breast cancer receive treatment that involves tamoxifen alone, or suppression of ovarian function in combination with tamoxifen or aromatase inhibitors, all of which can lead to loss of bone density and an increased risk of osteoporosis (Gnant 2009; Gnant 2011; Hadji 2014; Hadji 2017). Postmenopausal women treated with aromatase inhibitors are also affected and show an increased fracture rate compared to women treated with tamoxifen (Gnant 2015; Hadji 2011; Kalder 2014; Rabaglio 2009). Chemotherapy also leads to loss of bone density (Greep 2003; Hadji 2009).
Description of the intervention
Bone‐targeted treatment is important for breast cancer patients without metastases (metastasis means cancer that has spread from a primary site, e.g. from the breast to the bone). Bone‐modifying agents like bisphosphates or receptor activator of nuclear factor‐kappa B ligand (RANKL)‐inhibitors may reduce cancer treatment‐induced bone loss (CTIBL). In patients with postmenopausal status (those who are either postmenopausal, or premenopausal with suppressed ovarian function), bone‐modifying agents may also prevent bone metastases and prolong overall survival (EBCTCG 2015; Gnant 2015). Bisphosphonates of interest are alendronate, clodronate, ibandronate, pamidronate, risedronate and zoledronate; the RANKL‐inhibitor of interest is denosumab.
How the intervention might work
To accomplish its functions, bone undergoes continuous destruction (resorption) carried out by osteoclasts, and formation by so‐called osteoblasts (Rodan 1998). Bisphosphonates are analogues of pyrophosphate that target osteoclastic cells, and are grouped into amino‐bisphosphonates or non‐amino‐bisphosphonates. Amino‐bisphosphonates affect the osteoclast metabolism by targeting the farnesyl diphosphate synthase, which is responsible for post‐translational modification of guanosine‐5'‐triphosphate‐binding proteins. Non‐amino‐bisphosphonates function by forming an analogue of adenosine triphosphate. The resulting metabolite has toxic properties and induces apoptosis (programmed cell death) of osteoclasts (Reyes 2016). Bisphosphonates therefore suppress bone resorption by promoting the apoptosis of osteoclasts. Bisphosphonates vary in terms of route of administration (oral or intravenous), dose, and frequency and duration of administration.
Denosumab, a fully humanised monoclonal antibody, functions by targeting and neutralising RANKL, which has been found to be a major contributor to the progression of bone metastases (Hanley 2012). RANKL is expressed by osteoblastic stromal cells and binds to RANK, thereby mediating osteoclast differentiation, activation and survival. RANKL is responsible for osteoclast‐mediated bone resorption (Hsu 1999; Yasuda 1998). Denosumab binds to RANKL with high affinity and blocks the interaction of RANKL and RANK. This action decreases bone resorption since the route mediating differentiation, activation and survival of bone resorptive osteoclasts is blocked (Bekker 2004). Denosumab is given subcutaneously at a fixed dose.
Since bisphosphonates and denosumab influence bone metabolism, there could be adverse events such as osteonecrosis of the jaw (a severe bone disease affecting the jaw bone, characterised by delayed wound healing after invasive procedures, as well as infection and death of the bone tissue) and hypocalcaemia (blood calcium levels under the normal range of 2.1 millimoles per litre (mmol/L) to 2.6 mmol/L, which may lead to further complications) (Tesfamariam 2019). Bisphosphonates are also known to have the ability to cause renal complications (Edwards 2013).
Why it is important to do this review
Bisphosphonates are recommended as an addition to usual treatment for postmenopausal women with breast cancer, since they may reduce the risk of fractures and bone recurrence (meaning the development of bone metastases), and prolong overall survival; they may also reduce therapy‐induced bone loss in pre and postmenopausal patients (Dhesy‐Thind 2017; EBCTCG 2015; Gnant 2015; National Guideline Alliance 2018; O'Carrigan 2017). Denosumab has also been found to reduce fractures, but research on long‐term survival is still ongoing (Dhesy‐Thind 2017). An overall ranking of all different treatment options, focusing on different patient‐relevant outcomes, is still missing. Therefore, a comparison is urgently needed to inform recommendations in national and international guidelines (Dhesy‐Thind 2017), and to help patients and healthcare providers with decision‐making.
Objectives
To assess and compare the effects of different bone‐modifying agents as supportive treatment to reduce bone mineral density loss and osteoporotic fractures in women with breast cancer without bone metastases and generate a ranking of treatment options using network meta‐analyses (NMAs).
Methods
Criteria for considering studies for this review
Types of studies
We included studies if they were randomised controlled trials (RCTs). We included both full‐text and abstract publications if sufficient information on study design, characteristics of participants (women with early or locally advanced breast cancer) and interventions (adjuvant bisphosphonates or RANKL‐inhibitors) were provided. We included trials that included participants receiving these bone‐modifying agents in at least one treatment arm. In the case of cross‐over trials, only the first period of the trial has been analysed. There were no limitations with respect to length of follow‐up.
We excluded studies that were non‐randomised, case reports, and clinical observations.
Types of participants
We included trials involving adult women (18 years of age and older) with a confirmed diagnosis of early or locally advanced breast cancer, meaning all stages without metastases, defined by the TNM Classification of Malignant Tumors (TNM) staging system showing any stages for T, any for N and 0 for M. In this staging system 'T' refers to the size and extent of the main (primary) tumour, 'N' refers to the number of nearby lymph nodes that have cancer and 'M' refers to whether the cancer has metastasised, which means that the cancer has spread from the primary tumour to other parts of the body (NCI 2015). By including M0, only studies with non‐metastasised participants have been included in this analysis. We included both pre and postmenopausal participants. We assumed that participants who fulfilled the inclusion criteria were equally eligible to be randomised to any of the interventions we compared.
Types of interventions
We included trials comparing different bone‐modifying agents with each other and with control regimens (placebo or no treatment) as adjuvant therapy for early or locally advanced breast cancer. We considered any type of bisphosphonate or RANKL‐inhibitor, apart from radioactive bisphosphonates. We did not impose any restriction on the dose, route, frequency or duration of treatment with bone‐modifying agents. We investigated the following comparisons. In order to establish fair comparisons, concomitant treatments did not differ between study arms.
Interventions
Bisphosphonates (alendronate, clodronate, ibandronate, pamidronate, risedronate and zoledronate)
RANKL‐inhibitors (denosumab)
Placebo/no treatment
Comparisons
Bisphosphonates versus placebo/no treatment
RANKL‐inhibitors versus placebo/no treatment
Bisphosphonates versus RANKL‐inhibitors
One type of bisphosphonate versus another type of bisphosphonate
The options, bisphosphonates and RANKL‐inhibitors, are recommended in clinical guidelines to reduce therapy‐induced bone events in breast cancer patients in early or locally advanced stages. We grouped interventions by evaluating different drug doses together as one drug of interest, according to the product characteristics.
For the patient population described above, all interventions and combinations of interventions have been analysed within a full network (for ideal network see Figure 1). We included all RCTs comparing at least two study arms with one intervention of interest. When no direct evidence from RCTs existed and the trials were considered sufficiently similar with respect to the patient population, indirect estimates of intervention effects have been obtained by means of network calculations.
1.

Figure 1: Ideal network with all possible comparisons of all treatment options
Types of outcome measures
We included all trials fulfilling the inclusion criteria mentioned above, irrespective of reported outcomes. We estimated the relative ranking of the competing interventions according to each of the following outcomes. To make sure outcomes were patient‐relevant, we held a meeting with patients and patient representatives during the development of the protocol, and discussed the relevance and order of proposed outcomes.
Primary outcomes
Bone density, defined as the amount of minerals (mostly calcium and phosphorous) contained in a certain volume of bone. Analysis of this outcome is intended to determine the potential prevention of cancer treatment‐induced bone loss (CTIBL).
Quality of life.
Secondary outcomes
Overall fracture rate, defined as the number of bone fractures of all kinds occurring during and after treatment with bone‐modifying agents. If possible, we subclassified this outcome by site of fracture (vertebral and non‐vertebral).
Overall survival (time‐to‐event outcome) or all‐cause mortality.
Disease‐free survival (time‐to‐event outcome), defined as the length of time from diagnosis to the patient surviving without any signs or symptoms (distant, locoregional, or new primary symptoms in the contralateral breast, or as defined in the trial).
-
Adverse events:
osteonecrosis of the jaw;
renal (we considered all trials reporting renal adverse events; as bone‐modifying agents have been associated with renal toxicity with variable expression, we considered renal adverse events to be clinically significant and requiring treatment or hospital admission);
bone pain;
hypocalcaemia.
Any bone recurrence, meaning the development of metastasis to the bone.
Method and timing of outcome measurement
Bone density (or bone mineral density): assessed by using validated techniques, e.g. dual‐energy X‐ray absorptiometry, and given as mass of mineral per volume of bone. We analysed this outcome at the longest reported follow‐up. Unfortunately, we were not able to analyse this outcome at six months, one year and two years separately, since most studies did not report bone density at different time points.
Quality of life: assessed using validated generic and disease‐specific questionnaires. This outcome should be analysed at six months, one year, two years, or at the longest reported follow‐up. Nevertheless, we were not able to analyse this outcome quantitatively.
Overall fracture rate: assessed by radiographic imaging and, if indicated, computed tomography or magnetic resonance imaging. We analysed fractures occurring at any time after participants were randomised to intervention or comparator groups.
Adverse events (osteonecrosis of the jaw, renal adverse events, hypocalcaemia, bone pain). We measured this outcome at any time after participants were randomised to intervention or comparator groups.
Overall survival or all‐cause mortality: defined as the time from randomisation to the date of death. If we were unable to retrieve the necessary information to analyse time‐to‐event outcomes, we assessed the number of events per treatment group for dichotomised outcomes. We paid special attention regarding the transitivity assumption when it came to the patient population and different treatments (see Assessment of heterogeneity), e.g. we set date limits in order to compare more recent studies with each other rather than against older ones, since treatment of breast cancer has changed and older regimens might not have been comparable with newer regimens. We analysed this outcome at the longest reported follow‐up. Unfortunately, we were not able to analyse this outcome at six months, one year and two years separately since most studies did not report overall survival at different time points.
Search methods for identification of studies
Electronic searches
We conducted systematic searches for the following databases from inception until 17 January 2023 without any language restrictions.
The Cochrane Breast Cancer Group's (CBCG's) Specialised Register. The process of identifying studies and coding references is outlined on the CBCG's website (breastcancer.cochrane.org/sites/breastcancer.cochrane.org/files/public/uploads/specialised_register_details.pdf). Trials with the keywords 'early and locally advanced stages', 'bone‐modifying agents', 'bisphosphonates', 'RANKL‐inhibitors' and 'bone density' have been extracted and considered for inclusion in the review;
CENTRAL (the Cochrane Library, issue 01, 2023);
MEDLINE (via OvidSP) from 1946 to 17 January 2023;
Embase (via Embase.com) from 1947 to 17 January 2023;
The WHO International Clinical Trials Registry Platform (ICTRP) (who.int/trialsearch/);
ClinicalTrials.gov (clinicaltrials.gov/);
WHO ICTRP and ClinicalTrials.gov have been searched for all prospectively registered and ongoing trials. All search strategies are included in Appendix 1.
Searching other resources
We identified further studies from reference lists of identified relevant trials or reviews. A copy of the full article for each reference reporting a potentially eligible trial has been obtained. Where this was not possible, attempts have been made to contact trial authors to provide additional information.
Data collection and analysis
Selection of studies
We applied Cochrane’s Screen4Me workflow to help assess the search results. Screen4Me comprises three components:
known assessments, a service that matches records in the search results to records that have already been screened in Cochrane Crowd (Cochrane’s citizen science platform where the Crowd help to identify and describe health evidence) and labelled as 'RCT' or 'not an RCT';
the RCT classifier, a machine‐learning model that distinguishes RCTs from non‐RCTs;
Cochrane Crowd, if appropriate (crowd.cochrane.org).
More detailed information regarding evaluations of the Screen4Me components can be found in the following publications: Marshall 2018; McDonald 2017; Noel‐Storr 2018; Thomas 2017.
Two out of four review authors (TJ, ME, AA, AH) each independently screened the results for eligibility for this review by reading the abstracts using Covidence software (Covidence). We coded the abstracts as either 'retrieve' or 'do not retrieve'. In the case of disagreement, or if it was unclear whether we should retrieve the abstract or not, we obtained the full‐text publication for further discussion. Independent review authors eliminated studies that clearly did not satisfy the inclusion criteria, and obtained full‐text copies of the remaining studies. Two out of four review authors (TJ, ME, AA, AH) each read these studies independently to select relevant studies; in the event of disagreement, a third author adjudicated (NS or AW). We did not anonymise the studies before the assessment. We included a PRISMA flow diagram in the full review that shows the status of identified studies (Moher 2009), as recommended in Section 11.2.1 of the Cochrane Handbook for Systematic Reviews of Interventions (Schuenemann 2021). We included studies in the Characteristics of included studies table irrespective of whether measured outcome data were reported in a ‘usable’ way.
There were no language restrictions and articles were translated if they were not published in English. We recorded the details of excluded studies in the Characteristics of excluded studies table.
Data extraction and management
Two out of five review authors (TJ, JCV, MK, AA, AH) each extracted data using a standardised data extraction form. If the authors were unable to reach a consensus, we consulted another review author (NS or AW) for a final decision. If required, we contacted the authors of specific studies for supplementary information as recommended in Chapter five of the Cochrane Handbook for Systematic Reviews of Interventions (Li 2021). After agreement was reached, we entered data into Review Manager Web (RevMan Web 2023). We extracted the following information.
General information: author, title, source, publication date, country, language, duplicate publications;
Quality assessment: sequence generation, allocation concealment, blinding (participants, personnel, outcome assessors), incomplete outcome data, selective outcome reporting, other sources of bias;
Study characteristics: trial design, aims, setting and dates, source of participants, inclusion/exclusion criteria, comparability of groups, statistical methods, power calculations, subgroup analysis, treatment cross‐overs, compliance with assigned treatment, time point of randomisation, length of follow‐up;
Participant characteristics: participant details, baseline demographics, age, ethnicity, number of participants recruited/allocated/evaluated, participants lost to follow‐up, cancer type and stage, hormone receptor status, HER2 status, additional diagnoses, type and intensity of pain, menopausal status;
Interventions: type, dose, route, frequency and cycles of treatment with bone‐modifying agents, producer information, prescription and administration of vitamin D and calcium, main cancer treatment (endocrine therapy, chemotherapy) and its details;
Outcomes: bone density and measuring instrument, quality‐of‐life and measuring instrument, fracture rate (vertebral or non‐vertebral), overall survival or all‐cause mortality, disease‐free survival, adverse events (osteonecrosis of the jaw, renal, bone pain, hypocalcaemia), bone recurrence;
Notes: sponsorship/funding for trials and notable conflicts of interest of authors' trial registry record information (e.g. national clinical trial numbers).
We collated multiple reports of the same study, so that each study rather than each report was the unit of interest in the review. We collected characteristics of the included studies in sufficient detail to populate a table of Characteristics of included studies in the full review.
Assessment of risk of bias in included studies
We completed a Risk of bias table for each included study, using Review Manager Web (RevMan Web 2023).
Two out of five review authors (TJ, JCV, MK, AA, AH) each independently assessed the risk of bias for each study and, if they were unable to reach a consensus, we consulted a third review author (NS or AW) for a final decision. We assessed the following criteria, as outlined in Chapter 8 of the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011).
sequence generation;
allocation concealment;
blinding (participants and personnel);
blinding (outcome assessors);
incomplete outcome data;
selective outcome reporting;
other sources of bias.
For each of the domains listed above, we judged each study to be at either high, low or unclear risk of bias. We presented these judgements in the Risk of bias tables, along with justification for our decision.
For performance bias (blinding of participants and personnel) and detection bias (blinding of outcome assessment), we evaluated the risk of bias separately for each outcome. We grouped these outcomes according to whether they were measured subjectively or objectively when reporting our findings in the Risk of bias tables.
We defined the outcome 'overall survival' as not being influenced by blinding of patients or outcome assessors (objective outcome). We defined the following outcomes as not being influenced by blinding of patients (objective outcomes):
bone density;
overall fracture rate;
disease‐free survival;
adverse event: osteonecrosis of the jaw;
adverse event: renal;
adverse event: hypocalcaemia;
any bone recurrence.
We defined the following outcomes as subjective outcomes:
quality of life;
adverse event: bone pain.
Measures of treatment effect
Relative treatment effect
We used intention‐to‐treat data. For binary outcomes, we extracted the number of patients and number of events per arm and calculated risk ratios (RRs) with 95% confidence intervals (CIs) for each trial. This applied to the outcomes: overall fracture rate (fractures might be defined as evident fractures with associated symptoms or as defined in the trials themselves, while vertebral fractures might be defined as 20% to 25% or greater height reduction, measured by radiographs), bone density (assessed with dual‐energy X‐ray absorptiometry scans, or as reported in trials if different), and adverse events like osteonecrosis of the jaw and renal adverse events.
We calculated continuous outcomes as mean differences (MDs) when assessed with the same instruments; otherwise we calculated standardised mean differences (SMDs) with 95% CIs.
For time‐to‐event outcomes, we extracted hazard ratios (HRs) from published data, according to Parmar 1998 and Tierney 2007. This applied to the outcomes, overall and disease‐free survival.
Since we conducted a network meta‐analysis, we defined the direction for every RR or HR we were reporting and added 'RR or HR smaller than 1.0 favours...' when reporting results. We did not report pairwise meta‐analysis results since these have been shown elsewhere (O'Carrigan 2017).
Relative treatment ranking
We obtained a treatment hierarchy using P‐scores (Rücker 2015). P‐scores allow ranking of treatments on a continuous zero‐to‐one scale in a frequentist network meta‐analysis.
Unit of analysis issues
Studies with multiple treatment groups
As recommended in Chapter 23.3.4 of the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2021), for studies with multiple treatment groups, we would have combined arms as long as they could have been regarded as subtypes of the same intervention.
When arms could not be pooled this way, we included multi‐armed trials using a network meta‐analysis approach that accounted for the within‐study correlation between the effect sizes by re‐weighting all comparisons of each multi‐armed study (Rücker 2012; Rücker 2014). For pairwise meta‐analysis, we treated multi‐armed studies as multiple independent comparisons and did not combine these data in any analysis.
Dealing with missing data
As suggested in Chapter 10.12 of the Cochrane Handbook for Systematic Reviews of Interventions (Deeks 2021), we took the following steps to deal with missing data.
If the number of participants evaluated for a given outcome was not reported, we used the number of participants randomised per treatment arm as the denominator. If only percentages but no absolute number of events were reported for binary outcomes, we calculated numerators using percentages. If estimates for mean and standard deviations were missing, we calculated these statistics from reported data whenever possible, using approaches described in Chapter 5.6 of the Cochrane Handbook for Systematic Reviews of Interventions (Li 2021). If standard deviations were missing, and we were not able to calculate them from reported data, we calculated the values according to a validated imputation method (Furukawa 2006). If data were not reported numerically but graphically, we estimated missing data from figures. We performed sensitivity analyses to assess how sensitive results were to imputing data in some way. We addressed the potential impact of missing data on the findings of the review in the Discussion section.
Assessment of heterogeneity
Assessment of clinical and methodological heterogeneity within treatment comparisons
To evaluate the presence of clinical heterogeneity, we generated summary statistics for the important clinical and methodological characteristics across all included studies. Within each pairwise comparison, we assessed the presence of clinical heterogeneity by visually inspecting the similarity of these characteristics.
Assessment of transitivity across treatment comparisons
To infer the assumption of transitivity, we assessed whether the included interventions were similar when they were evaluated in RCTs with different designs; for example, whether combinations of two drugs are administered the same way in studies comparing them to other combinations of two drugs and in those comparing combinations of two drugs to combinations of three drugs. Furthermore, we compared the distribution of the potential effect modifiers across the different pairwise comparisons.
Assessment of statistical heterogeneity and inconsistency
To evaluate the presence of heterogeneity and inconsistency in the entire network, we used the generalised heterogeneity statistic Qtotal and the generalised I2 statistic, as described in Schwarzer 2015. We used the decomp.design command in the R package netmeta 1.0‐1 (R 2021; netmeta 2023) for decomposition of the heterogeneity statistic into a Q statistic for assessing the heterogeneity between studies with the same design and a Q statistic for assessing the design inconsistency to identify the amount of heterogeneity/inconsistency within, as well as between, designs.
To evaluate the presence of inconsistency locally, we compared direct and indirect treatment estimates of each treatment comparison. This served as a check for consistency of a network meta‐analysis (Dias 2010). For this purpose, we used the netsplit command in the R package netmeta 1.0‐1, which enabled the splitting of the network evidence into direct and indirect contributions (R 2021; netmeta 2023). For each treatment comparison, we presented direct and indirect treatment estimates plus the network estimate using forest plots. In addition, for each comparison we gave the z value and P value of the test for disagreement (direct versus indirect). It should be noted that in a network of evidence there may be many loops, and with multiple testing there is an increased likelihood that we might find an inconsistent loop by chance. Therefore, we have been cautious when deriving conclusions from this approach.
If we found substantive heterogeneity or inconsistency (or both), we explored possible sources by performing prespecified sensitivity and subgroup analyses (see below). In addition, we reviewed the evidence base, reconsidered inclusion criteria and discussed the potential role of unmeasured effect modifiers to identify further sources.
We interpreted I2 values according to Chapter 10.10.2 of the Cochrane Handbook for Systematic Reviews of Interventions (Deeks 2021), as follows.
0% to 40%, might not be important.
30% to 60% may represent moderate heterogeneity.
50% to 90% may represent substantial heterogeneity.
75% to 100% represents considerable heterogeneity.
We used the P value of the Chi2 test only for describing the extent of heterogeneity and not for determining statistical significance. In addition, we reported Tau2, the between‐study variance in random‐effects meta‐analysis. In the event of excessive heterogeneity that was unexplained by subgroup analyses, we did not report outcome results as the pooled effect estimate of the network meta‐analysis, but provided a narrative description of the results of each study.
Assessment of reporting biases
In pairwise comparisons with at least 10 trials, we examined the presence of small‐study effects graphically by generating funnel plots. We used linear regression tests (Egger 1997) to test for funnel plot asymmetry. A P value less than 0.1 has been considered significant for this test (Sterne 2011). We additionally conducted comparison‐adjusted funnel plots (Chaimani 2012) and the accompanying regression test to assess selection bias. We examined the presence of small‐study effects for the primary outcome only. Moreover, we searched study registries to identify trials that were completed but not published.
Data synthesis
Methods for direct treatment comparisons
Pairwise comparisons are part of the network meta‐analysis, thus we did not perform additional pairwise meta‐analyses. In order to outline available direct evidence, we provided forest plots for pairwise comparisons, without giving an overall estimate. Only in the case where data were not sufficient to be combined in a network meta‐analysis, e.g. in the case of inconsistency, we performed pairwise meta‐analyses according to recommendations provided in Chapter 10 of the Cochrane Handbook for Systematic Reviews of Interventions (Deeks 2021). We used the random‐effects model. We used the R package meta for statistical analyses (Balduzzi 2019; R 2021). When trials were too clinically heterogenous to be combined, we performed only subgroup analyses without calculating an overall estimate.
Methods for indirect and mixed comparisons
When the data had been considered sufficiently similar to be combined, we performed a network meta‐analysis using the frequentist weighted least squared approach described by Rücker 2012. We used a random‐effects model, taking into account the correlated treatment effects in multi‐arm studies. We assumed a common estimate for the heterogeneity variance across the different comparisons. To evaluate the extent to which treatments were connected, we undertook a network plot for our primary and secondary outcomes. For each comparison, we gave the estimated treatment effect along with its 95% CI. We presented the results graphically using forest plots, with placebo/no treatment as the reference treatment. We used the R package netmeta for statistical analyses (R 2021; netmeta 2023).
Certainty in the evidence
Two review authors (AA, NS) independently rated the certainty of the evidence for each outcome. We used the GRADE system to rank the certainty in the evidence, using the guidelines provided in Chapter 14.2 of the CochraneHandbook for Systematic Reviews of Interventions (Schuenemann 2021) and specifically for network meta‐analyses (Puhan 2014).
The GRADE approach to assess the certainty in the body of evidence for each outcome by performing network meta‐analysis uses five domains: study limitations (risk of bias of included studies); indirectness (relevance to the review question); inconsistency (assessment of heterogeneity and incoherence); imprecision (e.g. confidence intervals); and publication bias.
The GRADE assessment of the evidence for each outcome results in one of the four following categories.
High certainty: we are very confident that the true effect lies close to that of the effect estimate.
Moderate certainty: we are moderately confident in the effect estimate; the true effect is likely to be close to the effect estimate, but there is a possibility that it is substantially different.
Low certainty: our confidence in the effect estimate is limited; the true effect may be substantially different from the effect estimate.
Very low certainty: we have very little confidence in the effect estimate; the true effect is likely to be substantially different from the effect estimate.
The GRADE system uses the following criteria for assigning a GRADE level to a body of evidence (Schuenemann 2021).
High quality: randomised trials; or double‐upgraded observational studies.
Moderate quality: downgraded randomised trials; or upgraded observational studies.
Low quality: double‐downgraded randomised trials; or observational studies.
Very low quality: triple‐downgraded randomised trials; or downgraded observational studies; or case series/case reports.
We downgraded our assessment of the evidence by one or two points if there was:
limitation to study quality;
inconsistency;
uncertainty about directness;
imprecise or sparse data;
high probability of reporting bias.
Subgroup analysis and investigation of heterogeneity
The following subgroup analysis for network meta‐analysis was conducted on all efficacy and safety outcomes.
Premenopausal participants versus postmenopausal participants (premenopausal patients with ovarian suppression therapy (gonadotropin‐releasing hormone antagonist (GnHR) analogues, ovariectomy, radiomenolysis) were still considered as premenopausal).
The following subgroup analyses for network meta‐analysis were planned to be conducted on all efficacy and safety outcomes, but unfortunately data were not available to perform them.
Participants receiving endocrine therapy versus those not receiving endocrine therapy, or hormone receptor (HR)‐positive versus HR‐negative, also compared to human epidermal growth factor receptor 2 (HER2)‐positive. Because of lack of data availability, this subgroup analysis could not be performed.
Type of endocrine therapy (e.g. tamoxifen alone versus aromatase inhibitor alone versus ovarian function suppression (OFS) in combination with tamoxifen versus OFS in combination with aromatase inhibitor). Because of lack of data availability, this subgroup analysis could not be performed.
Type of bone‐modifying agent (bisphosphonate versus RANKL inhibitor). Since this corresponds to the main analysis using network meta‐analysis, no subgroup analysis was carried out.
Bisphosphonates of the first (non‐amino bisphosphonates: etidronate, clodronate) and second generation (amino‐bisphosphonates: alendronate, risedronate, pamidronate, ibandronate, zoledronate), independently. Since this would only exclude clodronate from the network, we did not conduct this analysis.
Duration of bone‐modifying interventions: one year versus two‐to‐five years. Since, in most studies, the duration of bone‐modifying agents was longer than one year, we did not conduct this subgroup analysis.
Participants with high risk of relapse (defined as receiving chemotherapy additionally to endocrine therapy) versus participants only receiving endocrine therapy. Because of lack of data availability, this subgroup analysis could not be performed.
Participants with status N1, N2, N3 versus status N0. Because of lack of data availability, this subgroup analysis could not be performed.
Sensitivity analysis
We performed a sensitivity analysis to test the robustness of our results by analysing studies with low risk of bias only. We judged studies as being at high risk of bias overall if they were at high risk for two or more of the Risk of bias domains.
Summary of findings and assessment of the certainty of the evidence
We included a summary of findings table to present the main findings in a transparent and simple tabular format. In particular, we included key information concerning the certainty in the evidence, the magnitude of effect of the interventions examined, and the sum of available data on the outcomes defined under 'Outcomes to be included in the Summary of findings table'.
Outcomes to be included in the Summary of findings table
bone density;
quality of life;
fracture rate;
overall survival;
adverse event: osteonecrosis of the jaw;
adverse event: renal.
Results
Description of studies
Results of the search
We identified 5143 potentially relevant publications through database searches as well as reference lists. After having removed duplicates, we screened 3849 records for relevancy with respect to our research question. Out of 3849 records, 100 studies appeared to be relevant to the present research question and were then screened in a full‐text and abstract screening. We excluded 41 studies for reasons specified in advance, amongst which wrong comparison was the most frequent one. Other reasons for exclusion included, for instance, wrong study design or early termination of the trial. Additionally, we identified two ongoing studies and ten studies awaiting classification.
Finally, we identified 47 studies relevant to our research question, involving a total number of 35,163 participants, in the qualitative analysis. The overall numbers of references screened, identified, selected, excluded and included are documented according to the PRISMA flow diagram (Figure 2).
2.

Included studies
See also Characteristics of included studies tables.
Forty‐seven studies were included in narrative analysis (ABCSG‐12 2011; ABCSG‐18 2019; Aft 2012; ANZAC 2009; ARBI 2009; ARIBON 2012; AZURE 2018; BONADIUV 2019; Bundred 2009; Cohen 2008; D‐CARE 2013; Delmas 1997; Diel 1998; Ellis 2008; EXPAND 2011; FEMZONE 2014; GAIN 2013; GeparX 2016; Hershman 2008; H‐FEAT 2011; HOBOE 2019; JONIE 2017; Kanis 1996; Kristensen 2008; Mardiak 2000; Monda 2017; N02C1 2009; NATAN 2016; NEOZOL 2018; NEO‐ZOTAC BOOG 2010; Novartis I 2006; NSABP B‐34 2012; Powles 2006; ProBONE I 2005; ProBONE II 2015; REBBeCA 2008; REBBeCA II 2016; Rhee 2013; Saarto 2004; SABRE 2010; Safra 2011; Saito 2015; Solomayer 2012; Sun 2016; SWOG S0307 2019; Team IIB 2006; Tevaarwerk 2007); 34 of them were also analysed quantitatively (ABCSG‐12 2011; ABCSG‐18 2019; Aft 2012; ARIBON 2012; AZURE 2018; BONADIUV 2019; Cohen 2008; D‐CARE 2013; Ellis 2008; EXPAND 2011; FEMZONE 2014; GAIN 2013; GeparX 2016Hershman 2008; HOBOE 2019; JONIE 2017; Kristensen 2008; Mardiak 2000; Monda 2017; NATAN 2016; NEOZOL 2018; NEO‐ZOTAC BOOG 2010; Novartis I 2006; NSABP B‐34 2012; Powles 2006; ProBONE II 2015; REBBeCA 2008; Saarto 2004; SABRE 2010; Safra 2011; Solomayer 2012; Sun 2016; SWOG S0307 2019; Team IIB 2006). The 13 remaining studies were excluded from quantitative analysis for the following reasons: four studies did not report any outcome of interest (ANZAC 2009; Bundred 2009; H‐FEAT 2011; ProBONE I 2005); another six studies only reported the results in a way that we were not able to add to the analysis (e.g. narratively) or, if no events occurred in both study arms, we were not able to add study data (ARBI 2009; N02C1 2009; REBBeCA II 2016; Rhee 2013; Saito 2015; Tevaarwerk 2007); we judged another three studies as too old to be comparable in the quantitative analyses with the other included studies in terms of anti‐cancer treatment regimens (Delmas 1997; Diel 1998; Kanis 1996).
Design
Except for one study, all included trials compared two treatment options with each other (ABCSG‐12 2011; ABCSG‐18 2019; ANZAC 2009; ARBI 2009; ARIBON 2012; AZURE 2018; Aft 2012; BONADIUV 2019; Bundred 2009; Cohen 2008; D‐CARE 2013; Delmas 1997; Diel 1998; EXPAND 2011; Ellis 2008; FEMZONE 2014; GAIN 2013; GeparX 2016; H‐FEAT 2011; Hershman 2008; HOBOE 2019; JONIE 2017; Kanis 1996; Kristensen 2008; Mardiak 2000; Monda 2017; N02C1 2009; NATAN 2016; NEO‐ZOTAC BOOG 2010; NEOZOL 2018; NSABP B‐34 2012; Novartis I 2006; Powles 2006; ProBONE I 2005; ProBONE II 2015; REBBeCA 2008; REBBeCA II 2016; Rhee 2013; SABRE 2010; Saarto 2004; Safra 2011; Saito 2015; Solomayer 2012; Sun 2016; Team IIB 2006; Tevaarwerk 2007). In SWOG S0307 2019, three different treatment options were compared with each other (three‐arm study comparing zoledronic acid vs. clodronate vs. ibandronate).
Sample sizes
The 47 studies reported on 35,163 participants. The smallest trials included 11 participants (Cohen 2008; ProBONE I 2005), and the largest trial randomised 6097 participants (SWOG S0307 2019).
Setting
The included trials were performed by a range of research groups and in different countries. Thirty studies took place in a single country: the USA (Aft 2012; Cohen 2008; NSABP B‐34 2012; REBBeCA 2008; REBBeCA II 2016; SWOG S0307 2019; Tevaarwerk 2007), Greece (ARBI 2009), the UK (ARIBON 2012), Italy (BONADIUV 2019; HOBOE 2019), Germany (Diel 1998; EXPAND 2011; FEMZONE 2014; GAIN 2013; GeparX 2016; Novartis I 2006; ProBONE I 2005; ProBONE II 2015; Solomayer 2012), Japan (H‐FEAT 2011; JONIE 2017; Saito 2015), France (NEOZOL 2018), Netherlands (NEO‐ZOTAC BOOG 2010; Team IIB 2006), Israel (Safra 2011), Korea (Rhee 2013), Finland (Saarto 2004), and China (Sun 2016). Six trials took place in a continental setting: Europe (ABCSG‐12 2011; NATAN 2016, Austria and Germany; ABCSG‐18 2019, Austria and Sweden; Kristensen 2008, Denmark, Sweden and Iceland); and North America (Ellis 2008; N02C1 2009, USA and Canada). Four trials were conducted in an intercontinental setting: Kanis 1996 and Powles 2006 (North America and Europe), SABRE 2010 (North America, Europe and Africa), D‐CARE 2013 (39 countries worldwide). There was no precise information regarding the country in which the study had been conducted for seven trials (ANZAC 2009; AZURE 2018; Bundred 2009; Delmas 1997; Hershman 2008; Mardiak 2000; Monda 2017).
Participants
All participants had a confirmed diagnosis of early or locally advanced breast cancer without bone metastases.
Hormone receptor status
Seventeen studies included only hormone receptor‐positive participants (ABCSG‐18 2019; ARBI 2009; ARIBON 2012; BONADIUV 2019; EXPAND 2011; Ellis 2008; H‐FEAT 2011; HOBOE 2019; Monda 2017; Novartis I 2006; ProBONE II 2015; REBBeCA II 2016; Rhee 2013; SABRE 2010; Safra 2011; Sun 2016; Team IIB 2006). Twenty‐two studies included both hormone receptor‐positive and ‐negative participants (ABCSG‐12 2011; ANZAC 2009; AZURE 2018; Aft 2012; D‐CARE 2013; Diel 1998; FEMZONE 2014; GAIN 2013; GeparX 2016; Hershman 2008; JONIE 2017; Kanis 1996; Kristensen 2008; NATAN 2016; NEO‐ZOTAC BOOG 2010; NEOZOL 2018; NSABP B‐34 2012; Powles 2006; SWOG S0307 2019; Saarto 2004; Solomayer 2012; Tevaarwerk 2007). ProBONE I 2005 included only hormone receptor negative participants. Seven trials did not give any information about the hormone receptor status (Bundred 2009; Cohen 2008; Delmas 1997; Mardiak 2000; N02C1 2009; REBBeCA 2008; Saito 2015).
HER2‐status
ABCSG‐12 2011 included only participants who were HER2‐positive. Three studies included only participants with negative HER2 status (JONIE 2017; NEO‐ZOTAC BOOG 2010; NEOZOL 2018). Thirteen studies evaluated participants with both HER2 status positive and negative (ABCSG‐18 2019; ANZAC 2009; AZURE 2018; Aft 2012; BONADIUV 2019; D‐CARE 2013; GAIN 2013; GeparX 2016HOBOE 2019; NATAN 2016; SWOG S0307 2019; Solomayer 2012; Tevaarwerk 2007). There was no information regarding the HER2 status for the remaining thirty trials (ARBI 2009; ARIBON 2012; Bundred 2009; Cohen 2008; Delmas 1997; Diel 1998; EXPAND 2011; Ellis 2008; FEMZONE 2014; Hershman 2008; H‐FEAT 2011; Kanis 1996; Kristensen 2008; Mardiak 2000; Monda 2017; N02C1 2009; NSABP B‐34 2012; Novartis I 2006; Powles 2006; ProBONE I 2005; ProBONE II 2015; REBBeCA 2008; REBBeCA II 2016; Rhee 2013; SABRE 2010; Saarto 2004; Safra 2011; Saito 2015; Sun 2016; Team IIB 2006).
Nodal status
Two studies included only node‐positive participants with a nodal status N1‐N3 (GAIN 2013; Saarto 2004), whereas twenty‐four studies included both node‐negative and node‐positive participants (ABCSG‐12 2011; ABCSG‐18 2019; AZURE 2018; BONADIUV 2019; D‐CARE 2013; Diel 1998; EXPAND 2011; FEMZONE 2014; GeparX 2016; HOBOE 2019; Hershman 2008; JONIE 2017; Kristensen 2008; NATAN 2016; NEO‐ZOTAC BOOG 2010; NSABP B‐34 2012; Powles 2006; ProBONE II 2015; REBBeCA 2008; REBBeCA II 2016; SABRE 2010; SWOG S0307 2019; Solomayer 2012; Tevaarwerk 2007). The remaining twenty‐one studies did not give any precise information about the nodal status (ANZAC 2009; ARBI 2009; ARIBON 2012; Aft 2012; Bundred 2009; Cohen 2008; Delmas 1997; Ellis 2008; H‐FEAT 2011; Kanis 1996; Mardiak 2000; Monda 2017; N02C1 2009; NEOZOL 2018; Novartis I 2006; ProBONE I 2005; Rhee 2013; Safra 2011; Saito 2015; Sun 2016; Team IIB 2006).
Menopausal status
Twenty studies included participants with postmenopausal status only (ABCSG‐18 2019; ARBI 2009; ARIBON 2012; BONADIUV 2019; Cohen 2008; Delmas 1997; EXPAND 2011; FEMZONE 2014; H‐FEAT 2011; Monda 2017; Novartis I 2006; REBBeCA 2008; REBBeCA II 2016; Rhee 2013; SABRE 2010; Safra 2011; Saito 2015; Sun 2016; Team IIB 2006; Tevaarwerk 2007), whereas five studies included participants with premenopausal status only (ABCSG‐12 2011; Hershman 2008; HOBOE 2019; N02C1 2009; ProBONE II 2015). Additionally, sixteen studies included both participants with pre and postmenopausal status (Aft 2012; ANZAC 2009; AZURE 2018; D‐CARE 2013; Diel 1998; Ellis 2008; GAIN 2013; JONIE 2017; Kanis 1996; Kristensen 2008; NATAN 2016; NEOZOL 2018; NEO‐ZOTAC BOOG 2010; Powles 2006; Saarto 2004; Solomayer 2012). The remaining six studies did not give any precise information about the menopausal status (Bundred 2009; GeparX 2016; Mardiak 2000; NSABP B‐34 2012; ProBONE I 2005; SWOG S0307 2019).
Interventions
Bisphosphonates and receptor activator of nuclear factor‐kappa B ligand (RANKL)‐inhibitors
For an overview of all seven bone‐modifying agents and the main comparator, no treatment/placebo, see the ideal network diagram in Figure 1.
Twenty trials compared zoledronic acid with the main comparator (ABCSG‐12 2011; ANZAC 2009; AZURE 2018; Aft 2012; Bundred 2009; EXPAND 2011; FEMZONE 2014; HOBOE 2019; Hershman 2008; JONIE 2017; NATAN 2016; NEO‐ZOTAC BOOG 2010; NEOZOL 2018; Novartis I 2006; ProBONE I 2005; ProBONE II 2015; Safra 2011; Solomayer 2012; Sun 2016; Tevaarwerk 2007), but the studies had different treatment intervals, almost every three or four weeks. The duration of treatment differed as well, from less than six months to five years of treatment.
Eight trials used risedronate (ARBI 2009; Delmas 1997; H‐FEAT 2011; Monda 2017; N02C1 2009; REBBeCA 2008; REBBeCA II 2016; SABRE 2010). Risedronate was mostly taken weekly for two years.
Four trials tested ibandronate against the main comparator (ARIBON 2012; BONADIUV 2019; GAIN 2013; Team IIB 2006). It was given mostly for two years; only Team IIB 2006 gave it for three years.
Six trials used clodronate (Diel 1998; Kanis 1996; Mardiak 2000; NSABP B‐34 2012; Powles 2006; Saarto 2004). In all studies, clodronate was given daily for two or three years.
Three trials tested alendronate (Cohen 2008; Rhee 2013; Saito 2015). The duration of treatment varied: Rhee 2013 gave alendronate daily for six months; whereas Cohen 2008 gave it weekly for one year and Saito 2015 weekly for two years.
One trial compared the effects of pamidronate with no treatment for four years (Kristensen 2008).
Four trials tested denosumab against placebo (ABCSG‐18 2019; D‐CARE 2013; Ellis 2008; GeparX 2016). Treatment in ABCSG‐18 2019 and D‐CARE 2013 continued treatment for up to five years, whereas Ellis 2008 tested it for two years and GeparX 2016 for six months.
One three‐armed trial explored the effect of zoledronic acid for 2.5 years in comparison with clodronate or ibandronate for three years (SWOG S0307 2019).
Anti‐cancer treatment
Surgery
Twenty‐seven studies included surgeries as a possible treatment (ABCSG‐12 2011; Aft 2012; BONADIUV 2019; Bundred 2009; D‐CARE 2013; Delmas 1997; FEMZONE 2014; GAIN 2013; GeparX 2016; Hershman 2008; HOBOE 2019; JONIE 2017; Kristensen 2008; Mardiak 2000; Monda 2017; N02C1 2009; NATAN 2016; NEOZOL 2018; Novartis I 2006; Powles 2006; REBBeCA 2008; REBBeCA II 2016; Saarto 2004; SABRE 2010; Solomayer 2012; Sun 2016; Tevaarwerk 2007). Some of the participants in SABRE 2010 were previously treated with a mastectomy. Some participants in D‐CARE 2013 got an ovarian ablation. Participants in FEMZONE 2014 were treated either with radical mastectomy, modified radical mastectomy, lumpectomy or quadrantectomy. Two studies reported that some of the participants received a mastectomy (BONADIUV 2019; Tevaarwerk 2007). In Hershman 2008 and N02C1 2009, some participants were treated with prior hysterectomy. Two studies treated some of their participants with either lumpectomy or mastectomy (JONIE 2017; Kristensen 2008; REBBeCA 2008). Participants in REBBeCA II 2016 received mastectomy, lumpectomy or axillary node removal. In Powles 2006, participants were treated with either resection with wide excision, segmental mastectomy with or without axillary dissection, or mastectomy according to the protocols of the participating centres. Participants in Saarto 2004 received an axillary evacuation and breast‐conserving resection or total mastectomy. All participants in Solomayer 2012 received surgery, which was either breast‐conserving or ablative surgery. In Sun 2016 and GAIN 2013, all participants received either radical mastectomy or breast‐conserving surgery. Participants in Novartis I 2006 were treated with tumour resection. Most participants in GeparX 2016 received breast‐conserving surgery. In Bundred 2009, participants received surgery at the end of the study, but there was no further information given about the type of surgery. Nine studies gave surgery before treatment, which was not further specified (ABCSG‐12 2011; Aft 2012; Delmas 1997; HOBOE 2019; Kanis 1996; Mardiak 2000; Monda 2017; NATAN 2016; NEOZOL 2018).
Endocrine therapy
In four studies, some of the participants received only selective oestrogen receptor modulators as endocrine therapy (Aft 2012; Diel 1998; Mardiak 2000; Saarto 2004).
Aromatase inhibitors as the only endocrine treatment were used in sixteen studies. Four trials chose anastrozole, which was given to all participants (ARBI 2009; ARIBON 2012; Monda 2017; SABRE 2010). Six trials treated all participants with letrozole (Bundred 2009; EXPAND 2011; H‐FEAT 2011; Novartis I 2006; Safra 2011; Sun 2016). One trial gave anastrozole or letrozole to all participants (Rhee 2013) and, in four trials, all participants were treated with either letrozole, anastrozole or exemestane (BONADIUV 2019; FEMZONE 2014; REBBeCA II 2016; Saito 2015). Two studies also used aromatase inhibitors as the only endocrine therapy, but did not give further information about which one was used (ABCSG‐18 2019; AZURE 2018). While in ABCSG‐18 2019, all patients were treated with aromatase inhibitors, only some of the participants of AZURE 2018 received aromatase inhibitors.
One study used ovarian function suppression as the only type of endocrine treatment (Diel 1998). In this trial, some of the participants received goserelin.
Four studies combined aromatase inhibitors and selective oestrogen receptor modulators as endocrine therapy that was given to some of the participants (GAIN 2013; HOBOE 2019; REBBeCA 2008; Tevaarwerk 2007), while one trial treated all participants with this combination (Team IIB 2006).
Six trials used a combination of aromatase inhibitors, selective oestrogen receptor modulators and ovarian function suppression (ABCSG‐12 2011; Aft 2012; D‐CARE 2013; Ellis 2008; Hershman 2008; ProBONE II 2015). ABCSG‐12 2011 treated all their participants with goserelin, but only some of their participants with anastrozole or tamoxifen; the remaining five treated only some of their participants with the three types of endocrine therapy.
In addition, GAIN 2013 treated some of their participants with luteinising hormone‐releasing hormones.
Chemotherapy
Thirty‐four trials used chemotherapy as an anti‐cancer treatment (ABCSG‐12 2011; ABCSG‐18 2019; ANZAC 2009; AZURE 2018; Aft 2012; D‐CARE 2013; Delmas 1997; Diel 1998; Ellis 2008; GAIN 2013; GeparX 2016; Hershman 2008; JONIE 2017; Kanis 1996; Kristensen 2008; Mardiak 2000; Monda 2017; N02C1 2009; NATAN 2016; NEO‐ZOTAC BOOG 2010; NEOZOL 2018; NSABP B‐34 2012; Powles 2006; ProBONE I 2005; ProBONE II 2015; REBBeCA 2008; REBBeCA II 2016; Rhee 2013; SWOG S0307 2019; Saarto 2004; Solomayer 2012; Sun 2016; Team IIB 2006; Tevaarwerk 2007). The treatment methods were slightly different in all trials, as listed below:
The participants in Aft 2012 received a combination of epirubicin and docetaxel, while ANZAC 2009 treated all their participants with CEF, a combination of cyclophosphamide, epirubicin and fluorouracil. In GAIN 2013, epirubicin, paclitaxel and cyclophosphamide were given. Some of the participants in Saarto 2004 were treated with CMF, a combination of cyclophosphamide, methotrexate and fluorouracil, whereas Sun 2016 used ACT, a combination of doxorubicin and cyclophosphamide, followed by paclitaxel. NEO‐ZOTAC BOOG 2010 and NEOZOL 2018 used TAC, which includes docetaxel, doxorubicin and cyclophosphamide as a treatment. Participants in Diel 1998 received either CMF (cyclophosphamide, methotrexate and fluorouracil), EC (epirubicin and cyclophosphamide) or FEC (fluorouracil, epirubicin and cyclophosphamide). In Hershman 2008, AC (doxorubicin and cyclophosphamide), T (paclitaxel), a combination of AC and T, CMF (cyclophosphamide, methotrexate, fluorouracil) or CAF (cyclophosphamide, doxorubicin and fluorouracil) were given. JONIE 2017 treated all their participants with FEC (fluorouracil, epirubicin and cyclophosphamide), followed by paclitaxel. Participants in Kristensen 2008 were treated with either CMF (cyclophosphamide, methotrexate and fluorouracil) or CEF (cyclophosphamide, epirubicin and fluorouracil). Mardiak 2000 used CMF (cyclophosphamide, methotrexate and fluorouracil), CMFVP (cyclophosphamide, methotrexate, fluorouracil, vincristine and prednisone), FAC (fluorouracil, doxorubicin and cyclophosphamide) or FEC (fluorouracil, epirubicin and cyclophosphamide). Participants in Powles 2006 received either 2M (mitoxantrone and methotrexate), 3M (mitoxantrone, methotrexate and mitomycin), CMF (cyclophosphamide, methotrexate and fluorouracil), AC (doxorubicin and cyclophosphamide), FEC (fluorouracil, epirubicin and cyclophosphamide), ECF (epirubicin, cisplatin and fluorouracil) or other chemotherapy regimens. ProBONE II 2015 treated their participants with cyclophosphamide, fluorouracil, anthracyclines and taxanes. Six studies also used taxanes or anthracyclines, but did not specify which ones (D‐CARE 2013; GeparX 2016; N02C1 2009; NATAN 2016; Team IIB 2006; Tevaarwerk 2007). Eleven trials reported, that they used chemotherapy, but did not give further information about the type of chemotherapy (ABCSG‐12 2011; AZURE 2018; Delmas 1997; Kanis 1996; Monda 2017; NSABP B‐34 2012; ProBONE I 2005; REBBeCA 2008; REBBeCA II 2016; SWOG S0307 2019; Solomayer 2012). In three studies, some participants received chemotherapy prior to randomisation (ABCSG‐18 2019; Ellis 2008; Rhee 2013).
Radiotherapy
Seventeen trials reported on the use of radiotherapy (ABCSG‐12 2011; Aft 2012; Delmas 1997; Diel 1998; Ellis 2008; GAIN 2013; Kanis 1996; Kristensen 2008; Mardiak 2000; NATAN 2016; NSABP B‐34 2012; Powles 2006; ProBONE II 2015; REBBeCA 2008; Saarto 2004; Sun 2016; Tevaarwerk 2007). Diel 1998 used a dose of 50 Gy to the breast, Saarto 2004 reported a total dose of 50 Gy in 25 fractions to regional lymph nodes and the operation scar, and Sun 2016 used a dose of 50 Gy in 25 fractions, but added an extra 10‐16 Gy to the tumour bed. The remaining trials did not specify the total amount of Gy given as radiotherapy. Participants in GAIN 2013 and Saarto 2004 all received radiotherapy, while the participants of the other studies only received it when it was administered. Mardiak 2000 treated all participants with stage III breast cancer who received primary surgery with radiotherapy.
Supplemental therapy
In twenty‐two trials, vitamin D and calcium were supplemented (ABCSG‐18 2019; ARBI 2009; ARIBON 2012; AZURE 2018; Aft 2012; BONADIUV 2019; Cohen 2008; D‐CARE 2013; Ellis 2008; Hershman 2008; Monda 2017; N02C1 2009; NEO‐ZOTAC BOOG 2010; ProBONE II 2015; REBBeCA 2008; REBBeCA II 2016; Rhee 2013; SABRE 2010; SWOG S0307 2019; Solomayer 2012; Sun 2016). One trial used daily alfacalcidol as supplemental therapy (Saito 2015). HOBOE 2019 prescribed calcium and vitamin D to patients with osteoporosis or severe osteopenia, but their use was not dictated by the protocol and data were not collected.
Other
Six trials treated their participants with anti‐HER2 therapy (Aft 2012; D‐CARE 2013; HOBOE 2019; NATAN 2016; NEOZOL 2018; Tevaarwerk 2007). Five studies gave trastuzumab as the treatment drug (Aft 2012; HOBOE 2019; NATAN 2016; NEOZOL 2018; Tevaarwerk 2007), while D‐CARE 2013 did not specify the treatment drug.
Excluded studies
We excluded 41 studies, which are presented in the Characteristics of excluded studies, for the following reasons:
inadequate randomisation and allocation concealment (Fuleihan 2005);
no subgroup contained only BC (Gucalp 1994);
subgroup BC not separately reported (Purohit 1995);
no comparison (only single‐arm study) (Hines 2010);
only abstract given, not clear if subgroup BC reported (Vinholes 1995);
only trial registry entries, study terminated and no results published (IBIS 3 FEASIBILITY; JPRN‐UMIN000004375; NCT00247650; NCT00324714; PERIDENO);
study withdrawn (NCT00873808);
population with bone metastases (Lipton 1999; Smith 1999);
population without bone metastases not reported (Ralston 1997);
population of healthy women at high risk of BC (IBIS II 2003;
metastases after treatment reported (Rizzoli 1996);
wrong comparison (analysed the effect of capecitabine rather than ibandronate) (NCT00196859);
wrong comparison (compared 2 different doses of bisphosphonates) (Gessner 2000; NCT03664687);
wrong comparison (compared 2 different doses of denosumab) (NCT02051218);
wrong comparison (bisphosphonates vs. physical activity) (NCT00202059);
wrong comparison (2 years vs 5 years of bisphosphonate use) (BATMAN 2005);
wrong comparison (3 years vs 5 years of bisphosphonate use) (SUCCESS);
wrong comparison (upfront vs delayed bisphosphonate use) (Ahn 2009; CALGB 79809; N03CC; NCT05164952; Takahashi 2012; Z‐FAST 2012; ZO‐FAST 2013; ZOLMENO 2017);
wrong comparison (concomitant medication not identical) (NCT03358017);
non‐randomised study design (Ahmad 2007; Chen 2011; Ciardo 2020; Lee 2011; NCT00295867; Nakatsukasa 2019; Toulis 2016);
summary of two studies plus non‐randomised study design (Vriens 2017);
non‐randomised study design for bisphosphonate use (Van Hellemond 2019).
Risk of bias in included studies
See the Risk of bias tables in the Characteristics of included studies table. The risk of bias is summarised in Figure 3, which presents our judgements for each study in a cross‐tabulation. In summary, we considered the quality of included trials to be moderate.
3.

Allocation
Random sequence generation
Twenty‐four trials described a random component in the sequence generation process and were at low risk of selection bias (ABCSG‐12 2011; ABCSG‐18 2019; AZURE 2018; Aft 2012; BONADIUV 2019; D‐CARE 2013; Ellis 2008; GAIN 2013; GeparX 2016; H‐FEAT 2011; HOBOE 2019; Hershman 2008; Kanis 1996; NATAN 2016; NEO‐ZOTAC BOOG 2010; NEOZOL 2018; NSABP B‐34 2012; Powles 2006; REBBeCA 2008; REBBeCA II 2016; Rhee 2013; SABRE 2010; SWOG S0307 2019; Tevaarwerk 2007). The other 23 trials were randomised studies, but without any further report on the sequence generation process (ANZAC 2009; ARBI 2009; ARIBON 2012; Bundred 2009; Cohen 2008; Delmas 1997; Diel 1998; EXPAND 2011; FEMZONE 2014; JONIE 2017; Kristensen 2008; Mardiak 2000; Monda 2017; N02C1 2009; Novartis I 2006; ProBONE I 2005; ProBONE II 2015; Saarto 2004; Safra 2011; Saito 2015; Solomayer 2012; Sun 2016; Team IIB 2006); hence we judged the risk of selection bias for these studies as unclear.
Allocation concealment
Twenty‐one studies reported on the method to conceal allocation and were at low risk of selection bias (ABCSG‐12 2011; ABCSG‐18 2019; AZURE 2018; Aft 2012; BONADIUV 2019; D‐CARE 2013; Ellis 2008; GAIN 2013; GeparX 2016; H‐FEAT 2011; HOBOE 2019; Hershman 2008; Kanis 1996; NATAN 2016; NEO‐ZOTAC BOOG 2010; NEOZOL 2018; NSABP B‐34 2012; Powles 2006; REBBeCA 2008; REBBeCA II 2016; SABRE 2010). Twenty‐six trials provided no further information addressing allocation concealment and were considered to be at unclear risk of selection bias (ANZAC 2009; ARBI 2009; ARIBON 2012; Bundred 2009; Cohen 2008; Delmas 1997; Diel 1998; EXPAND 2011; FEMZONE 2014; JONIE 2017; Kristensen 2008; Mardiak 2000; Monda 2017; N02C1 2009; Novartis I 2006; ProBONE I 2005; ProBONE II 2015; Rhee 2013; SWOG S0307 2019; Saarto 2004; Safra 2011; Saito 2015; Solomayer 2012; Sun 2016; Team IIB 2006; Tevaarwerk 2007).
Blinding
Blinding of participants
Nineteen trials described some type of blinding of participants and were at low risk of performance bias (ABCSG‐18 2019; ARIBON 2012; BONADIUV 2019; Cohen 2008; D‐CARE 2013; Delmas 1997; Ellis 2008; Hershman 2008; Kanis 1996; Mardiak 2000; N02C1 2009; NSABP B‐34 2012; Powles 2006; ProBONE I 2005; ProBONE II 2015; REBBeCA 2008; REBBeCA II 2016; Rhee 2013; SABRE 2010). Four trials provided no information and were therefore at unclear risk of performance bias (ANZAC 2009; Bundred 2009; Monda 2017; Team IIB 2006). Twenty‐four trials were designed as open‐label studies and were at high risk of bias (ABCSG‐12 2011; ARBI 2009; AZURE 2018; Aft 2012; Diel 1998; EXPAND 2011; FEMZONE 2014; GAIN 2013; GeparX 2016; H‐FEAT 2011; HOBOE 2019; JONIE 2017; Kristensen 2008; NATAN 2016; NEO‐ZOTAC BOOG 2010; NEOZOL 2018; Novartis I 2006; SWOG S0307 2019; Saarto 2004; Safra 2011; Saito 2015; Solomayer 2012; Sun 2016; Tevaarwerk 2007).
Blinding of personnel
Nineteen trials described some type of blinding of personnel and were at low risk of performance bias (ABCSG‐18 2019; ARIBON 2012; BONADIUV 2019; Cohen 2008; D‐CARE 2013; Delmas 1997; Ellis 2008; Hershman 2008; Kanis 1996; Mardiak 2000; N02C1 2009; NSABP B‐34 2012; Powles 2006; ProBONE I 2005; ProBONE II 2015; REBBeCA 2008; REBBeCA II 2016; Rhee 2013; SABRE 2010). Four trials provided no information and were at unclear risk of performance bias (ANZAC 2009; Bundred 2009; Monda 2017; Team IIB 2006). Twenty‐four trials were designed as open‐label studies and were at high risk of bias (ABCSG‐12 2011; ARBI 2009; AZURE 2018; Aft 2012; Diel 1998; EXPAND 2011; FEMZONE 2014; GAIN 2013; GeparX 2016; H‐FEAT 2011; HOBOE 2019; JONIE 2017; Kristensen 2008; NATAN 2016; NEO‐ZOTAC BOOG 2010; NEOZOL 2018; Novartis I 2006; SWOG S0307 2019; Saarto 2004; Safra 2011; Saito 2015; Solomayer 2012; Sun 2016; Tevaarwerk 2007).
Blinding of outcome assessment: subjective outcomes
Nineteen trials reported blinding of outcome assessment for subjective outcomes and were at low risk of detection bias (ABCSG‐18 2019; ARIBON 2012; BONADIUV 2019; Cohen 2008; D‐CARE 2013; Delmas 1997; Ellis 2008; Hershman 2008; Kanis 1996; Mardiak 2000; N02C1 2009; NSABP B‐34 2012; Powles 2006; ProBONE I 2005; ProBONE II 2015; REBBeCA 2008; REBBeCA II 2016; Rhee 2013; SABRE 2010). Four trials provided insufficient information and were therefore judged as at unclear risk of bias (ANZAC 2009; Bundred 2009; Monda 2017; Team IIB 2006). Twenty‐four trials were open‐label studies, which we judged as at high risk of bias (ABCSG‐12 2011; ARBI 2009; AZURE 2018; Aft 2012; Diel 1998; EXPAND 2011; FEMZONE 2014; GAIN 2013; GeparX 2016; H‐FEAT 2011; HOBOE 2019; JONIE 2017; Kristensen 2008; NATAN 2016; NEO‐ZOTAC BOOG 2010; NEOZOL 2018; Novartis I 2006; SWOG S0307 2019; Saarto 2004; Safra 2011; Saito 2015; Solomayer 2012; Sun 2016; Tevaarwerk 2007).
Blinding of outcome assessment: objective outcomes
Due to the nature of objective outcomes being unlikely to be vulnerable to bias, 46 studies were judged as at low risk of detection bias (ABCSG‐12 2011; ABCSG‐18 2019; ANZAC 2009; ARBI 2009; ARIBON 2012; AZURE 2018; Aft 2012; BONADIUV 2019; Cohen 2008; D‐CARE 2013; Delmas 1997; Diel 1998; EXPAND 2011; Ellis 2008; FEMZONE 2014; GAIN 2013; GeparX 2016; H‐FEAT 2011; HOBOE 2019; Hershman 2008; JONIE 2017; Kanis 1996; Kristensen 2008; Mardiak 2000; Monda 2017; N02C1 2009; NATAN 2016; NEO‐ZOTAC BOOG 2010; NEOZOL 2018; NSABP B‐34 2012; Novartis I 2006; Powles 2006; ProBONE I 2005; ProBONE II 2015; REBBeCA 2008; REBBeCA II 2016; Rhee 2013; SABRE 2010; SWOG S0307 2019; Saarto 2004; Safra 2011; Saito 2015; Solomayer 2012; Sun 2016; Team IIB 2006; Tevaarwerk 2007). One trial had only an abstract published and was therefore judged as at unclear risk of bias (Bundred 2009).
Incomplete outcome data
Thirty‐nine trials addressed incomplete outcome data adequately, describing reasons for missing data or including all randomised participants in the statistical analysis; we assessed these studies as at low risk of attrition bias (ABCSG‐12 2011; ABCSG‐18 2019; ARIBON 2012; AZURE 2018; Aft 2012; BONADIUV 2019; Cohen 2008; D‐CARE 2013; Delmas 1997; Diel 1998; EXPAND 2011; Ellis 2008; FEMZONE 2014; GAIN 2013; GeparX 2016; HOBOE 2019; Hershman 2008; JONIE 2017; Kanis 1996; Kristensen 2008; N02C1 2009; NATAN 2016; NEO‐ZOTAC BOOG 2010; NEOZOL 2018; NSABP B‐34 2012; Novartis I 2006; Powles 2006; ProBONE II 2015; REBBeCA 2008; REBBeCA II 2016; Rhee 2013; SABRE 2010; SWOG S0307 2019; Saarto 2004; Safra 2011; Saito 2015; Solomayer 2012; Team IIB 2006; Tevaarwerk 2007). Five studies provided insufficient information and were at unclear risk of attrition bias (ANZAC 2009; Bundred 2009; H‐FEAT 2011; Monda 2017; Sun 2016). ARBI 2009 did not analyse data from 23 of 70 participants and no reason was given for 12 of these participants. In addition, they did not have ITT analysis. Therefore, it was judged as being at high risk of bias. Mardiak 2000 did not evaluate 10 of 72 participants because of a "short duration of therapy"; we therefore judged the risk of bias as high. ProBONE I 2005 was terminated, and no data were published. The attrition bias was therefore judged as high.
Selective reporting
Twenty‐two trials published a study protocol or included all expected outcomes and were at low risk of reporting bias (ABCSG‐12 2011; ABCSG‐18 2019; AZURE 2018; Aft 2012; BONADIUV 2019; D‐CARE 2013; Diel 1998; GAIN 2013; HOBOE 2019; JONIE 2017; Kanis 1996; Mardiak 2000; NATAN 2016; NEO‐ZOTAC BOOG 2010; NEOZOL 2018; NSABP B‐34 2012; Powles 2006; ProBONE II 2015; REBBeCA 2008; REBBeCA II 2016; SWOG S0307 2019; Saarto 2004). Nineteen trials provided little information on primary or secondary outcomes and their definition and were therefore judged as at unclear risk for reporting bias (ANZAC 2009; ARBI 2009; ARIBON 2012; Bundred 2009; Cohen 2008; Delmas 1997; Ellis 2008; FEMZONE 2014; GeparX 2016; H‐FEAT 2011; Kristensen 2008; Monda 2017; N02C1 2009; Rhee 2013; SABRE 2010; Saito 2015; Sun 2016; Team IIB 2006; Tevaarwerk 2007). EXPAND 2011 and Novartis I 2006 did not analyse or present any participants for DFS, although it was a prespecified outcome. Hershman 2008 reported recurrence, although it was not actually a prespecified endpoint. ProBONE I 2005 did not publish data because the study was terminated. Safra 2011 did not report all time points as predefined and, it seems, according to fig. 3, that time points favouring zoledronic acid were chosen for the reporting of the main outcome, BMD. Solomayer 2012 did not report results for BMD in the full‐text reference, but it was planned as an outcome as described in the trial registry. Hence, we judged the risk of bias for these six studies as high.
Other potential sources of bias
Aft 2012 chose a difficult endpoint (DTCs), which may or may not correlate directly with clinically evident bone metastases; Bundred 2009, H‐FEAT 2011 and Team IIB 2006 had only the abstract information available; FEMZONE 2014 was terminated; Novartis I 2006 never published their study results; ProBONE I 2005 was terminated, and no data were published. We therefore judged these seven studies as at unclear risk of other bias.
EXPAND 2011 reported, that "there IS an agreement between Principal Investigators and the Sponsor (or its agents) that restricts the PI's rights to discuss or publish trial results after the trial is completed."; Kristensen 2008 had patients with ER‐positive BC status, but did not allow endocrine therapy, which could have led to an incorrect treatment. These two studies were therefore judged as being at high risk of other bias.
Effects of interventions
See: Table 1
We present our main findings from the network meta‐analyses (NMAs) for each pairwise comparison of each intervention with no treatment/placebo in Table 1. Results for other comparisons are reported in the text below and in additional tables and figures.
Pairwise comparisons
Pairwise comparisons are part of the NMAs, and we did not perform additional pairwise meta‐analyses. The direct effect estimates for all pairwise comparisons are presented in the upper triangle of each league table (see Additional Tables). For descriptive presentation only, we created forest plots with direct pairwise comparisons.
Transitivity
The included trials were similar in clinical and methodological characteristics that could potentially affect the relative treatment effects, thus we assumed the transitivity assumption held. Distributions of potential effect modifiers across the different pairwise comparisons are displayed in Appendix 2.
Bone density
Changes in bone mineral density were reported in different units such as g, g/cm2, g/cm3, T‐Score and Z‐score, which are not comparable in quantitative analysis. Also, bone mineral density was measured in different parts of the body, described as lumbar spine, femoral neck, total hip, distal tibia, total body, proximal femur, phalanges, forearm or wrist site. We extracted data for the most common site, 'lumbar spine', with the most common unit, 'T‐score', measured with dual‐energy X‐ray absorptiometry to collect data which would be comparable in a quantitative analysis.
Thirteen studies (ABCSG‐12 2011; ABCSG‐18 2019; ARBI 2009; ARIBON 2012; BONADIUV 2019; Cohen 2008; Ellis 2008; EXPAND 2011; HOBOE 2019; Monda 2017; Novartis I 2006; ProBONE II 2015; Safra 2011) reported changes in BMD as a T‐score. Nine studies including 1166 participants were examined in the statistical analysis (ABCSG‐12 2011; BONADIUV 2019; Cohen 2008; EXPAND 2011; HOBOE 2019; Monda 2017; Novartis I 2006; ProBONE II 2015; Safra 2011). One of these reported results at six months follow‐up (Safra 2011). All other studies reported results for a follow‐up between one and five years.
Two studies reported their results as medians and not means, and could not be included in the network meta‐analysis (ARBI 2009; ARIBON 2012). Two studies reported their results as percentages (Ellis 2008) or percentage change (ABCSG‐18 2019) and could not be included in the network meta‐analysis.
Of the studies included in the statistical analysis, three studies had mixed populations with pre and postmenopausal women. Six studies included only postmenopausal women. The network diagram is presented in Figure 4. The star‐shaped network, based on nine pairwise comparisons, was connected and compared five different treatment options (alendronate, ibandronate, risedronate, zoledronic acid and no treatment/placebo). There were no closed loops in the network. The forest plot, including all pairwise comparisons, is shown in Figure 5.
4.

Network diagram for outcome: bone mineral density (T‐score). Any two treatments are connected by a line when there is at least one study comparing the two treatments. Line width: number of studies and node size: number of patients.
5.

Forest plot of pairwise comparisons for the descriptive presentation of studies for outcome, bone mineral density (T‐score)
Network meta‐analysis
The evidence suggests that zoledronic acid is likely to slightly increase bone mineral density compared to no treatment/placebo (MD 0.89, 95% CI 0.62 to 1.16; moderate certainty) (Figure 6; Table 2). No other comparison showed meaningful results as indicated by the low to very low certainty of evidence judged for the other bisphosphonates (described below).
6.

Forest plot for outcome bone mineral density (T‐Score): Random‐effects model Reference treatment: No treatment/placebo Treatments are ordered by P‐Score (descending).
Abbreviations: CI: confidence interval MD: mean difference
1. League table: bone mineral density (T‐score).
| Alendronate | . | . | . | 3.70 [‐2.01, 9.41] |
| 2.81 [‐2.90, 8.53] | Zoledronic acid | . | . | 0.89 [0.62, 1.16] |
| 3.13 [‐2.61, 8.87] | 0.32 [‐0.36, 0.99] | Ibandronate | . | 0.57 [‐0.05, 1.19] |
| 3.44 [‐2.30, 9.18] | 0.63 [‐0.01, 1.27] | 0.31 [‐0.54, 1.16] | Risedronate | 0.26 [‐0.32, 0.84] |
| 3.70 [‐2.01, 9.41] | 0.89 [0.62, 1.16] | 0.57 [‐0.05, 1.19] | 0.26 [‐0.32, 0.84] | No treatment/placebo |
Results of network meta‐analysis for outcome bone mineral density (T‐Score). Only subnets with > 1 designs. Treatments are ordered by P‐Score (ascending). Upper triangle: direct estimates; lower triangle: network estimates. Comparisons should be read from left to right, and the estimate is in the cell in common between the column‐defining treatment and the row‐defining treatment. Effect estimates are presented as mean differences (MD) with a corresponding 95% confidence interval. For the network estimates in the lower triangle, an MD higher than 0.0 favours the column‐defining treatment and for the direct estimates in the upper triangle, an MD higher than 0.0 favours the row‐defining treatment (higher bone mineral density). To obtain MDs for comparisons in the opposing direction, signs must be reversed.
No. of studies: 9 No. of treatments: 5 No. of pairwise comparisons: 9 No. of designs: 4
Heterogeneity/Inconsistency: Q = 18.89, df = 5, P = 0.002; I² = 73.5%, Tau² = 0.0732
Ibandronate may slightly increase bone density compared to no treatment/placebo (MD 0.57, 95% CI ‐0.05 to 1.19; low certainty). Risedronate may result in little to no difference regarding bone mineral density compared to no treatment/placebo (MD 0.26, 95% CI ‐0.32 to 0.84; low certainty). We are uncertain whether alendronate increases bone mineral density compared to no treatment/placebo (MD 3.70, 95% CI ‐2.01 to 9.41; very low certainty). Our main reasons for downgrading the evidence were imprecision and inconsistency. Reasons for downgrading are provided in Table 1. It was not possible to rate the certainty of the evidence for clodronate, denosumab and pamidronate because they were not included in the network.
The rankings according to the P‐score presented in Figure 6 need to be interpreted in conjunction with the associated confidence intervals, certainty of estimates and caution. Although alendronate was ranked first (P‐Score: 0.87), the confidence interval was very wide and the estimate was based on one study involving 11 participants (MD 3.70, 95% CI ‐2.01 to 9.41; very low certainty).
The fixed‐effect model showed little to no difference compared to the random‐effects model (not shown). In the entire network, Cochran's Q test and generalised I2 statistics showed substantial heterogeneity between studies (Qtotal = 18.89, P = 0.002; I2 = 73.5%, Tau2 = 0.0732). Since there were no closed loops, inconsistencies could not be analysed.
None of the pairwise comparisons consisted of ten or more studies, so a funnel plot could not be constructed. Instead, a comparison‐adjusted funnel plot was created (Figure 7). The funnel plot consisted of nine studies, so the number of studies was too small to test for small‐study effects. Visual inspection of the funnel plot showed no evidence of small‐study effects.
7.

Comparison‐adjusted funnel plot for the outcome, bone mineral density (T‐Score)
Subgroup analysis
For studies with a mixture of pre and menopausal populations, no subgroup analysis was performed because the network consisted of only one pairwise comparison.
The subgroup analysis including studies with postmenopausal women only indicated zoledronic acid (MD 1.25, 95% CI 0.97 to 1.53), ibandronate (MD 0.57, 95% CI 0.25 to 0.89) and risedronate (MD 0.26, 95% CI 0.03 to 0.49) probably slightly increase bone mineral density compared with no treatment/placebo. Additionally, zoledronic acid probably slightly increases bone mineral density compared to ibandronate (MD 0.68, 95% CI 0.26 to 1.10) and risedronate (MD 0.99, 95% CI 0.63 to 1.35). Nevertheless, confidence intervals were overlapping with that of the main analysis and the ranking of treatments did not change. This cluster included six studies (data not shown).
Sensitivity analysis
For the sensitivity analysis, three studies were excluded because they were considered to be at a high risk of bias (EXPAND 2011; Novartis I 2006; Safra 2011). The results of the overall sensitivity analysis, including six studies, showed similar results to the main analysis (data not shown).
The results of the sensitivity analysis, including studies with postmenopausal women only, showed similar results, except that ibandronate (MD 0.57, 95% CI 0.25 to 0.89) and risedronate (MD 0.26, 95% CI 0.03 to 0.49) now probably slightly increase bone mineral density compared to no treatment/placebo, but confidence intervals were overlapping. This analysis included three studies (BONADIUV 2019; Cohen 2008; Monda 2017) comparing alendronate, ibandronate, risedronate and no treatment/placebo (data not shown).
Quality of life
Network meta‐analysis
Due to insufficient reporting, no network meta‐analysis was possible for quality of life. Three studies reported quality of life (FEMZONE 2014; GeparX 2016; Monda 2017).
FEMZONE 2014 included 168 postmenopausal participants and compared zoledronic acid to no treatment/placebo. The study was considered to be at a high risk of bias. Quality of life was measured with the FACT‐B questionnaire after six months. The mean score of participants treated with zoledronic acid was 108.2, while participants with no treatment/placebo had a slightly higher mean score of 112.
GeparX 2016 included 780 pre and postmenopausal participants and compared denosumab to no treatment/placebo. The study was considered to be at a high risk of bias. Quality of life was measured with the FACT‐Taxane questionnaire, FACT‐Taxane Trial Outcome Index (TOI), FACT‐G total score, and FACT‐Taxane total score scales at baseline, after nab‐paclitaxel, at end of treatment and 90 days post‐surgery. The addition of denosumab did not change the quality of life scores at any time point.
Monda 2017 included 84 postmenopausal participants and compared risedronate to no treatment/placebo. The study was considered to be at a low risk of bias. Quality of life was measured with the SF‐36 questionnaire after two years. The mean score of participants treated with risedronate was 48.6 (standard deviation: 7.3) and participants with no treatment/placebo had a slightly lower mean score of 44.8 (standard deviation: 6.4).
Subgroup analysis
Due to the low number of studies reporting quality of life, no subgroup analysis could be performed.
Sensitivity analysis
Due to the low number of studies reporting quality of life, no sensitivity analysis could be performed.
Overall fracture rate
Twenty‐four studies reported the outcome overall fracture rate (ABCSG‐12 2011; ABCSG‐18 2019; ARBI 2009; ARIBON 2012; AZURE 2018; D‐CARE 2013; EXPAND 2011; Ellis 2008; FEMZONE 2014; HOBOE 2019; Hershman 2008; Kanis 1996; Kristensen 2008; Monda 2017; Novartis I 2006; Powles 2006; ProBONE II 2015; REBBeCA 2008; Rhee 2013; SABRE 2010; SWOG S0307 2019; Safra 2011; Sun 2016; Team IIB 2006). Sixteen studies including 19,492 participants were examined in the statistical analysis (ABCSG‐12 2011; ABCSG‐18 2019; ARIBON 2012; AZURE 2018; D‐CARE 2013; Ellis 2008; FEMZONE 2014; Kristensen 2008; Monda 2017; Powles 2006; ProBONE II 2015; REBBeCA 2008; SABRE 2010; SWOG S0307 2019; Sun 2016; Team IIB 2006). Eight studies reported the overall fracture rate in a format where it was not possible to add the data to the statistical analysis (ARBI 2009; EXPAND 2011; HOBOE 2019; Hershman 2008; Kanis 1996; Novartis I 2006; Rhee 2013; Safra 2011). In seven of these studies, no fractures occurred in either treatment arm:
ARBI 2009 compared risedronate to no treatment; there were 70 participants with a follow‐up time of two years.
EXPAND 2011 compared zoledronic acid to no treatment; there were 81 participants with a follow‐up time of three years.
Hershman 2008 compared zoledronic acid to placebo; there were 114 participants with a follow‐up time of two years.
HOBOE 2019 compared zoledronic acid to no treatment; there were 1065 participants with a median follow‐up time of 64 months.
Novartis I 2006 compared zoledronic acid to no treatment; there were 83 participants with a follow‐up time of three years.
Rhee 2013 compared alendronate to placebo; there were 98 participants and the duration of the study was six months.
Safra 2011 compared zoledronic acid to no treatment; there were 90 participants with a follow‐up time of five years.
Of the studies included in the statistical analysis, 11 studies included both pre and postmenopausal women. Five studies included only postmenopausal women. The network diagram is presented in Figure 8. The network, based on eighteen pairwise comparisons, was connected and compared seven different treatment options (clodronate, denosumab, ibandronate, pamidronate, risedronate, zoledronic acid and no treatment/placebo). There were four closed loops in the network. The forest plot, including all pairwise comparisons, is shown in Figure 9.
8.

Network diagram for outcome: fractures. Any two treatments are connected by a line when there is at least one study comparing the two treatments. Line width: number of studies and node size: number of patients.
9.

Forest plot of pairwise comparisons for the descriptive presentation of studies for outcome fractures
Network meta‐analysis
Ibandronate and clodronate decrease the number of fractures compared to no treatment/placebo (RR 0.57, 95% CI 0.38 to 0.86, RR 0.60, 95% CI 0.39 to 0.92, respectively, high certainty). Ibandronate and clodronate are likely to reduce fracture rates compared to pamidronate (RR 0.38, 95% CI 0.17 to 0.85, RR 0.40, 95% CI 0.18 to 0.90, respectively, moderate certainty; Figure 10; Table 3).
10.

Forest plot for outcome, fractures: Random‐effects model Reference treatment: no treatment/placebo. Treatments are ordered by P‐Score (descending). Abbreviations: CI: confidence interval RR: risk ratio
2. League table: fractures.
| Ibandronate | 0.79 [0.51, 1.23] | . | . | 0.62 [0.40, 0.96] | 0.89 [0.48, 1.63] | . |
| 0.95 [0.64, 1.42] | Clodronate | . | . | 0.78 [0.51, 1.18] | 0.41 [0.19, 0.87] | . |
| 1.02 [0.25, 4.18] | 1.07 [0.26, 4.40] | Risedronate | . | . | 0.56 [0.15, 2.16] | . |
| 0.79 [0.47, 1.33] | 0.83 [0.48, 1.42] | 0.77 [0.19, 3.09] | Denosumab | . | 0.73 [0.52, 1.01] | . |
| 0.73 [0.50, 1.06] | 0.76 [0.52, 1.11] | 0.71 [0.18, 2.86] | 0.92 [0.57, 1.49] | Zoledronic acid | 0.72 [0.48, 1.10] | . |
| 0.57 [0.38, 0.86] | 0.60 [0.39, 0.92] | 0.56 [0.15, 2.16] | 0.73 [0.52, 1.01] | 0.79 [0.56, 1.11] | No treatment/placebo | 0.66 [0.33, 1.33] |
| 0.38 [0.17, 0.85] | 0.40 [0.18, 0.90] | 0.37 [0.08, 1.69] | 0.48 [0.22, 1.04] | 0.52 [0.24, 1.14] | 0.66 [0.33, 1.33] | Pamidronate |
Results of network meta‐analysis for outcome fractures. Treatments are ordered by P‐Score (ascending). Only subnets with > 1 designs. Upper triangle: direct estimates; lower triangle: network estimates. Comparisons should be read from left to right, and the estimate is in the cell in common between the column‐defining treatment and the row‐defining treatment. Effect estimates are presented as risk ratios (RR) with a corresponding 95% confidence interval. For the network estimates in the lower triangle, an RR below 1.0 favours the column‐defining treatment and for the direct estimates in the upper triangle, an RR below 1.0 favours the row‐defining treatment (fewer events of fractures). To obtain RRs for comparisons in the opposing direction, reciprocals should be taken.
No. of studies: 15 No. of treatments: 7 No. of pairwise comparisons: 17 No. of designs: 7
Qtotal = 14.64, df = 11, P = 0.20/Qwithin = 8.55, df = 9, P = 0.48/Qbetween = 6.09, df = 2, P = 0.048; I² = 24.8%, Tau² = 0.0380
Denosumab and zoledronic acid probably slightly decrease the number of fractures compared to no treatment/placebo (RR 0.73, 95% CI 0.52 to 1.01, RR 0.79, 95% CI 0.56 to 1.11, respectively; moderate certainty). Risedronate may decrease or increase the number of fractures compared to no treatment/placebo (RR 0.56, 95% CI 0.15 to 2.16, low certainty). Pamidronate probably increases the number of fractures compared to no treatment/placebo (RR 1.52, 95% CI 0.75 to 3.06; moderate certainty). Our main reason for downgrading the evidence was imprecision. Reasons for downgrading are provided in Table 1. It was not possible to rate the certainty of the evidence for alendronate as this treatment is not included in our network.
The rankings according to the P‐score presented in Figure 10 need to be interpreted in conjunction with the associated confidence intervals, certainty of estimates and caution. Ibandronate was ranked first (P‐Score: 0.81) followed by clodronate (P‐Score: 0.75). No treatment/placebo (P‐Score: 0.20) and pamidronate (P‐Score: 0.05) were ranked lowest.
The fixed‐effect model showed slight differences compared to the random‐effects model (not shown). In the entire network, Cochran's Q test and generalised I2 statistics showed no important heterogeneity between studies (Qtotal = 14.64, P = 0.20 / Qwithin = 8.55, P = 0.48 / Qbetween = 6.09, P = 0.05; I2 = 24.8 %, Tau2 = 0.0380). Since there were closed loops in the network, inconsistencies could be analysed. The test for inconsistencies in closed loops indicated no disagreements between direct and indirect estimates (Figure 11; Table 4).
11.

Comparison of direct and indirect evidence (in closed loops) for outcome, fractures. Abbreviations: CI: confidence interval RR: risk ratio
3. Comparison of direct and indirect evidence (in closed loops) for outcome, fractures.
| Comparison | No. of studies | Network estimate | Direct estimate | Indirect estimate | Test for disagreement |
| Clodronate vs. ibandronate | 1 | 1.05 [0.70; 1.56] | 1.26 [0.81; 1.95] | 0.44 [0.17; 1.15] | 0.0523 |
| Clodronate vs. no treatment/placebo | 1 | 0.60 [0.39; 0.92] | 0.41 [0.19; 0.87] | 0.72 [0.43; 1.19] | 0.2249 |
| Clodronate vs. zoledronic acid | 1 | 0.76 [0.52; 1.11] | 0.78 [0.51; 1.18] | 0.71 [0.31; 1.64] | 0.8471 |
| Ibandronate vs. no treatment/placebo | 2 | 0.57 [0.38; 0.86] | 0.89 [0.48; 1.63] | 0.41 [0.24; 0.70] | 0.0625 |
| Ibandronate vs. zoledronic acid | 1 | 0.73 [0.50; 1.06] | 0.62 [0.40; 0.96] | 1.16 [0.56; 2.41] | 0.1494 |
| Zoledronic acid vs. no treatment/placebo | 5 | 0.79 [0.56; 1.11] | 0.72 [0.48; 1.10] | 0.94 [0.52; 1.73] | 0.4797 |
Estimates are reported as risk ratios with corresponding 95% confidence intervals. The results of a test for disagreement between direct and indirect evidence reported as a P value. Only comparisons for which both direct and indirect evidence exists are shown.
Subgroup analysis
When analyses were restricted to studies with mixed populations, excluding five studies (ARIBON 2012; FEMZONE 2014; Monda 2017; SABRE 2010; Team IIB 2006), the results showed slight differences. The network diagram showed three closed loops instead of four, because the connection was missing for ibandronate and no treatment/placebo. In the ranking of treatments, risedronate was now ranked lower than no treatment/placebo, but the confidence intervals were very large and overlapping. Zoledronic acid and denosumab resulted in a slightly reduced fracture rate compared to no treatment/placebo (RR 0.71, 95% CI 0.57 to 0.89; RR 0.77, 95% CI 0.64 to 0.92, respectively). Denosumab probably resulted in a slightly decreased fracture rate compared to pamidronate (RR 0.47, 95% CI 0.25 to 0.88; RR 0.51, 95% CI 0.27 to 0.94, respectively). Additionally, ibandronate resulted in a reduced and clodronate in a slightly reduced fracture rate compared to zoledronic acid (RR 0.61, 95% CI 0.50 to 0.75; RR 0.76, 95% CI 0.64 to 0.90, respectively) and denosumab (RR 0.57, 95% CI 0.40 to 0.81; RR 0.71, 95% CI 0.51 to 0.98, respectively) but confidence intervals were overlapping (data not shown).
Sensitivity analysis
For the sensitivity analysis, one study was excluded due to a high risk of bias (Kristensen 2008). Given that the excluded study was the only study including pamidronate, the results of the sensitivity analysis were the same as in the main network meta‐analysis (data not shown).
Vertebral fractures
Nine studies reported vertebral fractures (ABCSG‐18 2019; Ellis 2008; Kanis 1996; Kristensen 2008; Monda 2017; Powles 2006; Rhee 2013; SABRE 2010; Sun 2016). Five studies including 3610 participants were examined in the statistical analysis (ABCSG‐18 2019; Kristensen 2008; Monda 2017; Powles 2006; Sun 2016). One study was excluded from the quantitative analyses because the study was considered too old to be comparable with the other studies (Kanis 1996) and three studies reported vertebral fractures in a format where it was not possible to add the data to the statistical analysis (Ellis 2008; Rhee 2013; SABRE 2010). In these three studies, there were no cases of vertebral fractures occurring in either treatment arm:
Ellis 2008 compared denosumab to placebo; there were 252 participants with a follow‐up time of four years.
Rhee 2013 compared alendronate to placebo; there were 98 participants and the duration of the study was six months.
SABRE 2010 compared risedronate to placebo; there were 154 participants with a follow‐up time of two years.
Of the studies included in the statistical analysis, four studies included a mixed population of pre and postmenopausal women. One study included postmenopausal women only. The network diagram is presented in Figure 12. The star‐shaped network, based on five pairwise comparisons, was connected and compared six different treatment options (clodronate, denosumab, pamidronate, risedronate, zoledronic acid and no treatment/placebo). There were no closed loops in the network. A forest plot, including all pairwise comparisons, is shown in Figure 13.
12.

Network diagram for outcome: vertebral fractures. Any two treatments are connected by a line when there is at least one study comparing the two treatments. Line width: number of studies and node size: number of patients
13.

Forest plot of pairwise comparisons for the descriptive presentation of studies for outcome, vertebral fractures
Network meta‐analysis
Denosumab reduces the occurrence of vertebral fractures compared to no treatment/placebo (RR 0.55, 95% CI 0.36 to 0.84; high certainty) (Figure 14; Table 5). No other comparison showed meaningful results.
14.

Forest plot for outcome vertebral fractures: Random effects model. Reference treatment: No treatment/placebo. Treatments are ordered by P‐Score (descending). RR: risk ratio. CI: confidence interval.
4. League table: vertebral fractures.
| Risedronate | . | . | . | 0.14 [0.01, 2.59] | . |
| 0.32 [0.01, 6.91] | Clodronate | . | . | 0.44 [0.17, 1.13] | . |
| 0.25 [0.01, 4.90] | 0.80 [0.28, 2.26 | Denosumab | . | 0.55 [0.36, 0.84] | . |
| 0.21 [0.01, 6.30] | 0.65 [0.09, 4.77] | 0.82 [0.14, 4.94] | Zoledronic acid | 0.67 [0.12, 3.82] | . |
| 0.14 [0.01, 2.59] | 0.44 [0.17, 1.13] | 0.55 [0.36, 0.84] | 0.67 [0.12, 3.82] | No treatment/Placebo | 0.80 [0.29, 2.19] |
| 0.11 [0.01, 2.46] | 0.35 [0.09, 1.39] | 0.44 [0.15, 1.30] | 0.53 [0.07, 4.00] | 0.80 [0.29, 2.19] | Pamidronate |
Results of network meta‐analysis for the outcome of vertebral fractures. Treatments are ordered by P‐Score (ascending). Only subnets with > 1 designs. Upper triangle: direct estimates; lower triangle: network estimates. Comparisons should be read from left to right, and the estimate is in the cell in common between the column‐defining treatment and the row‐defining treatment. Effect estimates are presented as risk ratios (RR) with corresponding 95% confidence intervals. For the network estimates in the lower triangle, an RR below 1.0 favours the column‐defining treatment and for the direct estimates in the upper triangle, an RR below 1.0 favours the row‐defining treatment (fewer events of vertebral fractures). To obtain RRs for comparisons in the opposing direction, reciprocals should be taken.
No. of studies: 5 No. of treatments: 6 No. of pairwise comparisons: 5 No. of designs: 5
Heterogeneity/inconsistency: Q = 0, df = 0, P = n.a.; I² = n.a., Tau² = n.a.
The rankings according to the P‐score presented in Figure 14 need to be interpreted in conjunction with the associated confidence intervals, certainty of estimates and caution. Although risedronate was ranked first (P‐Score: 0.85), the confidence interval was very wide and the estimate was based on one study involving 71 participants (RR 0.14, 95% CI 0.01 to 2.59). No treatment/placebo (P‐Score: 0.23) and pamidronate (P‐Score: 0.16) were ranked lowest.
The fixed‐effect model did not show any differences compared to the random‐effects model (not shown). Since no pairwise comparison contained more than one study and there were no closed loops in the network, heterogeneity in the entire network and inconsistencies between direct and indirect estimates could not be tested (Qtotal = 0, P = not applicable, Qwithin = 0, P = not applicable, Qbetween = 0, P = not applicable, I2 = not applicable, Tau2 = not applicable).
Subgroup analysis
One study included postmenopausal women only (Monda 2017). Therefore, the network diagram did not differ compared to the main analysis except that risedronate was missing. The ranking according to P‐scores also did not change.
Sensitivity analysis
No sensitivity analysis was performed.
Non‐vertebral fractures
Eight studies reported non‐vertebral fractures (ARIBON 2012; Ellis 2008; FEMZONE 2014; Kanis 1996; Kristensen 2008; Powles 2006; ProBONE II 2015; SABRE 2010). Seven studies including 2381 participants were examined in the statistical analysis (ARIBON 2012; Ellis 2008; FEMZONE 2014; Kristensen 2008; Powles 2006; ProBONE II 2015; SABRE 2010). As mentioned above, one study was excluded from the quantitative analyses because the study was considered too old to be comparable with the other studies (Kanis 1996).
Of the studies included in the statistical analysis, three included postmenopausal women only. Four of the studies included in the statistical analysis included mixed populations with pre and postmenopausal women. The network diagram is presented in Figure 15. The star‐shaped network, based on seven pairwise comparisons, was connected and compared seven different treatment options (clodronate, denosumab, ibandronate, pamidronate, risedronate, zoledronic acid and no treatment/placebo). There were no closed loops in the network. The forest plot, including all pairwise comparisons, is shown in Figure 16.
15.

Network diagram for outcome: non‐vertebral fractures. Any two treatments are connected by a line when there is at least one study comparing the two treatments. Line width: number of studies and node size: number of patients
16.

Forest plot of pairwise comparisons for the descriptive presentation of studies for outcome, non‐vertebral fractures
Network meta‐analysis
Evidence suggests that clodronate and pamidronate are likely to reduce the occurrence of non‐vertebral fractures compared to no treatment/placebo (RR 0.38, 95% CI 0.15 to 0.97, RR 0.23, 95% CI 0.06 to 0.84, respectively, moderate certainty; Figure 17; Table 6). No other comparison showed meaningful results.
17.

Forest plot for outcome, non‐vertebral fractures: Random‐effects model Reference treatment: no treatment/placebo Treatments are ordered by P‐Score (descending).
Abbreviations: CI: confidence interval RR: risk ratio
5. League table: non‐vertebral fractures.
| Risedronate | . | . | . | 0.11 [0.01, 2.03] | . | |
| 0.29 [0.01, 6.15] | Clodronate | . | . | 0.38 [0.15, 0.97] | . | |
| 0.14 [0.01, 3.55] | 0.47 [0.08, 2.68] | Zoledronic acid | . | 0.81 [0.19, 3.53] | . | |
| 0.12 [0.01, 2.52] | 0.41 [0.11, 1.53] | 0.87 [0.15, 4.97] | Denosumab | 0.93 [0.36, 2.39] | . | |
| 0.11 [0.01, 2.03] | 0.38 [0.15, 0.97] | 0.81 [0.19, 3.53] | 0.93 [0.36, 2.39] | No treatment/placebo | 0.83 [0.21, 3.24] | 0.61 [0.25, 1.48] |
| 0.09 [0.00, 2.28] | 0.32 [0.06, 1.65] | 0.67 [0.09, 4.99] | 0.77 [0.15, 4.05] | 0.83 [0.21, 3.24] | Ibandronate | |
| 0.07 [0.00, 1.41] | 0.23 [0.06, 0.84] | 0.49 [0.09, 2.75] | 0.57 [0.16, 2.07] | 0.61 [0.25, 1.48] | 0.74 [0.15, 3.73] | Pamidronate |
Results of network meta‐analysis for outcome of non‐vertebral fractures. Treatments are ordered by P‐Score (ascending). Only subnets with > 1 designs. Upper triangle: direct estimates; lower triangle: network estimates. Comparisons should be read from left to right, and the estimate is in the cell in common between the column‐defining treatment and the row‐defining treatment. Effect estimates are presented as risk ratios (RR) with corresponding 95% confidence intervals. For the network estimates in the lower triangle, an RR below 1.0 favours the column‐defining treatment and for the direct estimates in the upper triangle, an RR below 1.0 favours the row‐defining treatment (fewer events of non‐vertebral fractures). To obtain RRs for comparisons in the opposing direction, reciprocals should be taken.
No. of studies: 7 No. of treatments: 7 No. of pairwise comparisons: 7 No. of designs: 6
Heterogeneity/inconsistency: Q = 0.96, df = 1, P = 0.33; I² = 0.0%, Tau² = 0.0
The rankings according to the P‐score presented in Figure 17 need to be interpreted in conjunction with the associated confidence intervals, certainty of estimates and caution. Although risedronate was ranked first (P‐Score: 0.90), the confidence interval was very wide and the estimate was based on one study involving 154 participants (RR 0.11, 95% CI 0.01 to 2.03). Pamidronate (P‐Score: 0.16) was ranked lowest.
The fixed‐effect model did not show any differences compared to the random‐effects model (not shown). In the entire network, Cochran's Q test and generalised I2 statistics showed no important heterogeneity between studies (Qtotal = 0.96, P = 0.33; I2 = 0, Tau2 = 0.0). Since there were no closed loops, inconsistencies could not be analysed.
Subgroup analysis
When the analysis was confined to postmenopausal women (from 4 studies), the results were very similar to those obtained from the main analysis (data not shown). Four treatments remained in the network (ibandronate, risedronate, zoledronic acid and no treatment/placebo).
For those studies with mixed populations, ibandronate and risedronate dropped out of the network. The analysis showed similar results to the main analysis, except that zoledronic acid was now ranked lowest in the ranking according to P‐score, but confidence intervals were overlapping.
Sensitivity analysis
No sensitivity analysis was performed.
Overall survival
Twenty studies reported overall survival (ABCSG‐12 2011; ABCSG‐18 2019; AZURE 2018; Aft 2012; BONADIUV 2019; D‐CARE 2013; Diel 1998; FEMZONE 2014; GAIN 2013; HOBOE 2019; Kristensen 2008; Mardiak 2000; NATAN 2016; NEO‐ZOTAC BOOG 2010; NSABP B‐34 2012; Powles 2006; SWOG S0307 2019; Saarto 2004; Solomayer 2012; Team IIB 2006). Seventeen studies including 30,991 participants were examined in the statistical analysis (ABCSG‐12 2011; ABCSG‐18 2019; AZURE 2018; BONADIUV 2019; D‐CARE 2013; GAIN 2013; HOBOE 2019; Kristensen 2008; Mardiak 2000; NATAN 2016; NEO‐ZOTAC BOOG 2010; NSABP B‐34 2012; Powles 2006; Saarto 2004; Solomayer 2012; SWOG S0307 2019; Team IIB 2006). Three studies reported overall survival in a format where it was not possible to add the data to the statistical analysis (Aft 2012; Diel 1998; FEMZONE 2014).
Of the studies included in the statistical analysis, 15 included pre and postmenopausal women. Two studies included postmenopausal women only (BONADIUV 2019; Team IIB 2006). The network diagram is presented in Figure 18. The network, based on 19 pairwise comparisons, was connected and compared six different treatment options (clodronate, denosumab, ibandronate, pamidronate, zoledronic acid and no treatment/placebo). There were four closed loops in the network. The forest plot, including all pairwise comparisons, is shown in Figure 19.
18.

Network diagram for outcome: overall survival. Any two treatments are connected by a line when there is at least one study comparing the two treatments. Line width: number of studies and node size: number of patients
19.

Forest plot of pairwise comparisons for the descriptive presentation of studies for outcome, overall survival
Network meta‐analysis
Evidence from the network meta‐analysis showed no meaningful results in comparisons of overall survival between all treatment options (Figure 20; Table 7). This is because the evidence on survival was judged to be of low or very low certainty overall as indicated below.
20.

Forest plot for outcome, overall survival: Random‐effects model Reference treatment: no treatment/placebo Treatments are ordered by P‐Score (descending)
Abbreviations: CI: confidence interval HR: hazard ratio
6. League table: overall survival.
| Denosumab | . | . | 0.91 [0.69, 1.21] | . | . |
| 0.98 [0.69, 1.39] | Zoledronic acid | 0.95 [0.65, 1.38] | 0.92 [0.72, 1.17] | 0.94 [0.64, 1.37] | . |
| 0.96 [0.68, 1.37] | 0.98 [0.76, 1.26] | Clodronate | 0.92 [0.72, 1.19] | 0.95 [0.65, 1.38] | . |
| 0.91 [0.69, 1.21] | 0.93 [0.76, 1.14] | 0.95 [0.77, 1.17] | No treatment/placebo | 0.90 [0.65, 1.23] | 0.83 [0.56, 1.23] |
| 0.86 [0.60, 1.26] | 0.88 [0.67, 1.16] | 0.90 [0.68, 1.18] | 0.95 [0.74, 1.21] | Ibandronate | . |
| 0.76 [0.47, 1.23] | 0.77 [0.50, 1.20] | 0.79 [0.51, 1.23] | 0.83 [0.56, 1.23] | 0.88 [0.56, 1.39] | Pamidronate |
Results of network meta‐analysis for outcome, overall survival. Treatments are ordered by P‐Score (ascending). Only subnets with > 1 designs. Upper triangle: direct estimates; lower triangle: network estimates. Comparisons should be read from left to right, and the estimate is in the cell in common between the column‐defining treatment and the row‐defining treatment. Effect estimates are presented as hazard ratios (HR) with corresponding 95% confidence intervals. For the network estimates in the lower triangle, an HR below 1.0 favours the column‐defining treatment and for the direct estimates in the upper triangle, an HR below 1.0 favours the row‐defining treatment (longer overall survival). To obtain HRs for comparisons in the opposing direction, reciprocals should be taken.
No. of studies: 17 No. of treatments: 6 No. of pairwise comparisons: 19 No. of designs: 6
Qtotal = 29.34, df = 13, P = 0.006/Qwithin = 27.89, df = 11, P = 0.003/Qbetween = 1.28, df = 2, P = 0.53; I² = 55.7%, Tau² = 0.0305
Clodronate (HR 0.95, 95% CI 0.77 to 1.17), denosumab (HR 0.91, 95% CI 0.69 to 1.21), ibandronate (HR 1.06, 95% CI 0.83 to 1.34) and zoledronic acid (HR 0.93, 95% CI 0.76 to 1.14) may result in little to no difference regarding overall survival compared to no treatment/placebo (low certainty). We are uncertain whether treatment with pamidronate (HR 1.20, 95% CI 0.81 to 1.78) decreases overall survival compared to no treatment/placebo (very low certainty). Our main reasons for downgrading the evidence were imprecision and inconsistency; these are provided in Table 1. It was not possible to rate the certainty of the evidence for alendronate and risedronate because they were not included in the network.
The rankings according to the P‐score presented in Figure 20 need to be interpreted in conjunction with the associated confidence intervals, certainty of estimates and caution. Although denosumab was ranked first (P‐Score: 0.70), zoledronic acid (P‐Score: 0.69) and clodronate (P‐Score: 0.63) showed similar P‐Scores and estimates, and the confidence intervals were overlapping. Pamidronate (P‐Score: 0.18) was ranked lowest.
The fixed‐effect model showed slight differences compared to the random‐effects model, but confidence intervals were very wide and overlapping (not shown). In the entire network, Cochran's Q test and generalised I2 statistics showed moderate to substantial heterogeneity between studies (Qtotal = 29.34, P = 0.006/Qwithin = 27.89, P = 0.003/Qbetween = 1.28, P = 0.53; I2 = 55.7 %, Tau2 = 0.0305). Since there were closed loops in the network, inconsistencies could be analysed. Tests for inconsistencies in closed loops indicated no disagreements between direct and indirect estimates (Figure 21; Table 8).
21.

Comparison of direct and indirect evidence (in closed loops) for outcome overall survival. HR: hazard ratio. CI: confidence interval.
7. Comparison of direct and indirect evidence (in closed loops) for outcome, overall survival.
| Comparison | No. of studies | Network estimate | Direct estimate | Indirect estimate | Test for disagreement |
| Clodronate vs. ibandronate | 1 | 0.90 [0.68; 1.18] | 0.95 [0.65; 1.38] | 0.84 [0.57; 1.26] | 0.6737 |
| Clodronate vs. no treatment/placebo | 4 | 0.95 [0.77; 1.17] | 0.92 [0.72; 1.19] | 1.01 [0.69; 1.47] | 0.7158 |
| Clodronate vs. zoledronic acid | 1 | 1.02 [0.79; 1.32] | 1.05 [0.73; 1.53] | 0.99 [0.70; 1.41] | 0.8245 |
| Ibandronate vs. no treatment/placebo | 3 | 1.06 [0.83; 1.34] | 1.12 [0.81; 1.53] | 0.98 [0.67; 1.42] | 0.5944 |
| Ibandronate vs. zoledronic acid | 1 | 1.14 [0.86; 1.49] | 1.06 [0.73; 1.55] | 1.22 [0.82; 1.81] | 0.6264 |
| Zoledronic acid vs. no treatment/placebo | 6 | 0.93 [0.76; 1.14] | 0.92 [0.72; 1.17] | 0.95 [0.65; 1.39] | 0.8973 |
Estimates are reported as hazard ratios with corresponding 95% confidence intervals. Result of tests for disagreement between direct and indirect evidence reported as P values. Only comparisons for which both direct and indirect evidence exists are shown.
Subgroup analysis
When the analysis was confined to a mixed population of pre and postmenopausal women (from 15 studies), the results were very similar to those obtained from the main analysis. The network diagram did not show any differences at all. The ranking according to the P‐score differed slightly, with denosumab and zoledronic acid swapping their ranks as well as ibandronate and no treatment/placebo, but confidence intervals were overlapping (data not shown). There were insufficient studies in this Cochrane review to restrict the analysis to postmenopausal women.
Sensitivity analysis
Two of the 17 included studies were excluded for the sensitivity analysis due to a high risk of bias. The results did not differ, except that pamidronate dropped out of the network because one of the excluded studies used pamidronate as an intervention.
Disease‐free survival
Disease‐free survival was defined as the length of time from diagnosis to the patient surviving without any signs or symptoms (distant, loco regional, or new primary symptoms in the contralateral breast, or as defined in the trial). Seventeen studies reported disease‐free survival (ABCSG‐12 2011; ABCSG‐18 2019; Aft 2012; AZURE 2018; BONADIUV 2019; D‐CARE 2013; GAIN 2013; HOBOE 2019; JONIE 2017; NATAN 2016; NEO‐ZOTAC BOOG 2010; Novartis I 2006; NSABP B‐34 2012; Saarto 2004; SWOG S0307 2019; Team IIB 2006; Tevaarwerk 2007). Fourteen studies including 29,024 participants were examined in the statistical analysis (ABCSG‐12 2011; ABCSG‐18 2019; AZURE 2018; BONADIUV 2019; D‐CARE 2013; GAIN 2013; HOBOE 2019; JONIE 2017; NATAN 2016; NEO‐ZOTAC BOOG 2010; NSABP B‐34 2012; Saarto 2004; SWOG S0307 2019; Team IIB 2006). Three studies reported disease‐free survival in a format where it was not possible to add the data to the statistical analysis (Aft 2012; Novartis I 2006; Tevaarwerk 2007).
Of the studies included in the statistical analysis, 12 included pre and postmenopausal women. Two studies included postmenopausal women only (BONADIUV 2019; Team IIB 2006). The network diagram is presented in Figure 22. The network, based on sixteen pairwise comparisons, was connected and compared five different treatment options (clodronate, denosumab, ibandronate, zoledronic acid and no treatment/placebo). There were four closed loops in the network. The forest plot, including all pairwise comparisons, is shown in Figure 23.
22.

Network diagram for outcome: disease‐free survival. Any two treatments are connected by a line when there is at least one study comparing the two treatments. Line width: number of studies and node size: number of patients
23.

Forest plot of pairwise comparisons for the descriptive presentation of studies for outcome, disease‐free survival
Network meta‐analysis
Zoledronic acid prolongs disease‐free survival compared to no treatment/placebo (HR 0.88, 95% CI 0.81 to 0.96; high certainty; Figure 24; Table 9). No other comparison showed meaningful results.
24.

Forest plot for outcome, disease‐free survival: Random‐effects model Reference treatment: no treatment/placebo Treatments are ordered by P‐Score (descending)
Abbreviations: CI: confidence interval HR: hazard ratio
8. League table: disease‐free survival.
| Zoledronic acid | 0.92 [0.79, 1.06] | . | 0.94 [0.80, 1.11] | 0.90 [0.81, 0.99] |
| 0.96 [0.86, 1.08] | Clodronate | . | 0.95 [0.81, 1.11] | 0.89 [0.77, 1.04] |
| 0.94 [0.82, 1.07] | 0.97 [0.84, 1.13] | Denosumab | . | 0.94 [0.85, 1.05] |
| 0.93 [0.83, 1.05] | 0.97 [0.85, 1.10] | 0.99 [0.85, 1.16] | Ibandronate | 0.95 [0.81, 1.11] |
| 0.88 [0.81, 0.96] | 0.92 [0.82, 1.02] | 0.94 [0.85, 1.05] | 0.95 [0.85, 1.06] | No treatment/placebo |
Results of network meta‐analysis for outcome disease‐free survival. Treatments are ordered by P‐Score (ascending). Only subnets with > 1 designs. Upper triangle: direct estimates; lower triangle: network estimates. Comparisons should be read from left to right, and the estimate is in the cell in common between the column‐defining treatment and the row‐defining treatment. Effect estimates are presented as hazard ratios (HR) with corresponding 95% confidence intervals. For the network estimates in the lower triangle, an HR below 1.0 favours the column‐defining treatment and for the direct estimates in the upper triangle, an HR below 1.0 favours the row‐defining treatment (longer disease‐free survival). To obtain HRs for comparisons in the opposing direction, reciprocals should be taken.
No. of studies: 14 No. of treatments: 5 No. of pairwise comparisons: 16 No. of designs: 5
Qtotal = 11.07, df = 11, P = 0.44/Qwithin = 10.52, df = 9, P = 0.31/Qbetween = 0.74, df = 2, P = 0.69; I² = 0.6%, Tau² < 0.0001
The rankings according to the P‐score presented in Figure 24 need to be interpreted in conjunction with the associated confidence intervals, certainty of estimates and caution. Zoledronic acid was ranked first (P‐Score: 0.86). The main comparator, no treatment/placebo, was ranked lowest (P‐Score: 0.10).
The fixed‐effect model showed similar results compared to the random‐effects model (not shown). In the entire network, Cochran's Q test and generalised I2 statistics showed moderate heterogeneity between studies (Qtotal = 11.07, P = 0.44 / Qwithin = 10.52, P = 0.31 / Qbetween = 0.74, P = 0.69; I2 = 0.6 %, Tau2 < 0.0001). Since there were closed loops in the network, inconsistencies could be analysed. Tests for inconsistencies in closed loops indicated no disagreements between direct and indirect estimates (Figure 25; Table 10).
25.

Comparison of direct and indirect evidence (in closed loops) for outcome, disease‐free survival
Abbreviations: CI: confidence interval HR: hazard ratio
9. Comparison of direct and indirect evidence (in closed loops) for outcome, disease‐free survival.
| Comparison | No. of studies | Network estimate | Direct estimate | Indirect estimate | Test for disagreement |
| Clodronate vs. ibandronate | 1 | 0.97 [0.85; 1.10] | 0.95 [0.81; 1.11] | 1.00 [0.80; 1.24] | 0.7146 |
| Clodronate vs. no treatment/placebo | 2 | 0.92 [0.82; 1.02] | 0.89 [0.77; 1.04] | 0.94 [0.81; 1.10] | 0.6168 |
| Clodronate vs. zoledronic acid | 1 | 1.04 [0.93; 1.16] | 1.09 [0.94; 1.26] | 0.97 [0.81; 1.16] | 0.3142 |
| Ibandronate vs. no treatment/placebo | 3 | 0.95 [0.85; 1.06] | 0.95 [0.81; 1.11] | 0.95 [0.81; 1.13] | 0.9501 |
| Ibandronate vs. zoledronic acid | 1 | 1.07 [0.95; 1.21] | 1.06 [0.90; 1.25] | 1.09 [0.91; 1.31] | 0.8116 |
| Zoledronic acid vs. no treatment/placebo | 6 | 0.88 [0.81; 0.96] | 0.90 [0.81; 0.99] | 0.85 [0.72; 1.01] | 0.6115 |
Estimates are reported as hazard ratios with corresponding 95% confidence intervals. Results of tests for disagreement between direct and indirect evidence reported as P values. Only comparisons for which both direct and indirect evidence exists are shown.
Subgroup analysis
A subgroup analysis involving a mixed population of pre and postmenopausal women only (from 12 studies) showed negligible differences in the results. There were no differences in the network diagram or the ranking according to the P‐score.
Sensitivity analysis
One of the 13 included studies was excluded due to a high risk of bias. Neither the network diagram nor the ranking according to the P‐score showed different results.
Adverse events
Osteonecrosis of the jaw
Twenty‐seven studies reported osteonecrosis of the jaw as an adverse event (ABCSG‐12 2011; ABCSG‐18 2019; Aft 2012; ARBI 2009; ARIBON 2012; AZURE 2018; BONADIUV 2019; D‐CARE 2013; FEMZONE 2014; GAIN 2013; GeparX 2016; HOBOE 2019; Hershman 2008; Monda 2017; NATAN 2016; NEO‐ZOTAC BOOG 2010; NEOZOL 2018; NSABP B‐34 2012; Powles 2006; ProBONE II 2015; Rhee 2013; SWOG S0307 2019; Safra 2011; Solomayer 2012; Sun 2016; Team IIB 2006; Tevaarwerk 2007). Twelve studies including 23,527 participants were examined in the statistical analysis (AZURE 2018; Aft 2012; D‐CARE 2013; GAIN 2013; GeparX 2016; HOBOE 2019; NATAN 2016; NSABP B‐34 2012; ProBONE II 2015; SWOG S0307 2019; Solomayer 2012; Team IIB 2006). Fifteen studies reported osteonecrosis of the jaw in a format where the data could not be added to the statistical analysis (ABCSG‐12 2011; ABCSG‐18 2019; ARBI 2009; ARIBON 2012; BONADIUV 2019; FEMZONE 2014; Hershman 2008; Monda 2017; NEO‐ZOTAC BOOG 2010; NEOZOL 2018; Powles 2006; Rhee 2013; Safra 2011; Sun 2016; Tevaarwerk 2007). In these 15 studies, there were no cases of osteonecrosis of the jaw in either treatment arm.
ABCSG‐12 2011 compared zoledronic acid to no treatment; there were 1803 participants with a median follow‐up time of 62 months.
ABCSG‐18 2019 compared denosumab to placebo; there were 3425 participants with a median follow‐up time of 73 months.
ARBI 2009 compared risedronate to no treatment; there were 70 participants with a follow‐up time of two years.
ARIBON 2012 compared ibandronate to placebo; there were 50 participants with a follow‐up time of five years.
BONADIUV 2019 compared ibandronate to placebo; there were 171 participants with a follow‐up time of five years.
FEMZONE 2014 compared zoledronic acid to no treatment; there were 168 participants with a follow‐up time of five years.
Hershman 2008 compared zoledronic acid to placebo; there were 114 participants with a follow‐up time of two years.
Monda 2017 compared risedronate to no treatment; there were 84 participants with a follow‐up time of two years.
NEO‐ZOTAC BOOG 2010 compared zoledronic acid to placebo; there were 250 participants with a follow‐up time of 60 months.
NEOZOL 2018 compared zoledronic acid to no treatment; there were 53 participants with a median follow‐up time of 5.7 and 5.4 months respectively for each treatment arm.
Powles 2006 compared clodronate to placebo; there were 1069 participants with a median follow‐up time of 5.6 years.
Rhee 2013 compared alendronate to placebo; there were 98 participants and the duration of the study was six months.
Safra 2011 compared zoledronic acid to no treatment; there were 90 participants with a follow‐up time of five years.
Sun 2016 compared zoledronic acid to no treatment; there were 120 participants with a follow‐up time of one year.
Tevaarwerk 2007 compared zoledronic acid to no treatment; there were 68 participants with a follow‐up time of up to ten years.
Of the studies included in the statistical analysis, 11 studies had mixed populations of pre and postmenopausal women and one study included postmenopausal women only (Team IIB 2006). The network diagram is presented in Figure 26. The network, based on 14 pairwise comparisons, was connected and compared five different treatment options (clodronate, denosumab, ibandronate, zoledronic acid and no treatment/placebo). There were four closed loops in the network. The forest plot, including all pairwise comparisons, is shown in Figure 27.
26.

Network diagram for outcome, adverse event: osteonecrosis of the jaw. Any two treatments are connected by a line when there is at least one study comparing the two treatments. Line width: number of studies and node size: number of patients
27.

Forest plot of pairwise comparisons for the descriptive presentation of studies for outcome, adverse event: osteonecrosis of the jaw
Network meta‐analysis
Evidence suggests that denosumab (RR 24.70, 95% CI 9.56 to 63.83; moderate certainty), ibandronate (RR 5.77, 95% CI 2.04 to 16.35; moderate certainty) and zoledronic acid (RR 9.41, 95% CI 3.54 to 24.99; moderate certainty) are likely to increase the occurrence of osteonecrosis of the jaw compared to no treatment/placebo. Clodronate is likely to reduce the occurrence of osteonecrosis of the jaw compared to zoledronic acid (RR 0.28, 95% CI 0.13 to 0.61; moderate certainty) and denosumab (RR 0.11, 95% CI 0.02 to 0.48; moderate certainty). Ibandronate is likely to reduce the occurrence of osteonecrosis of the jaw compared to denosumab (RR 0.23, 95% CI 0.06 to 0.96; moderate certainty) (Figure 28; Table 11). Our main reason for downgrading the evidence was imprecision. Reasons for downgrading are provided in the Table 1. It was not possible to rate the certainty of the evidence for alendronate, pamidronate and risedronate because they were not included in the network.
28.

Forest plot for outcome, adverse event: osteonecrosis of the jaw: Random‐effects model Reference treatment: no treatment/placebo Treatments are ordered by P‐Score (descending).
Abbreviations: CI: confidence interval RR: risk ratio
10. League table AE: osteonecrosis of the jaw.
| No treatment/Placebo | 0.33 [0.01, 8.17] | 0.15 [0.03, 0.80] | 0.12 [0.03, 0.40] | 0.04 [0.02, 0.10] |
| 0.38 [ 0.12, 1.21] | Clodronate | 0.47 [0.19, 1.14] | 0.28 [0.13, 0.61] | . |
| 0.17 [ 0.06, 0.49] | 0.46 [ 0.19, 1.09] | Ibandronate | 0.60 [0.30, 1.17] | . |
| 0.11 [ 0.04, 0.28] | 0.28 [ 0.13, 0.61] | 0.61 [ 0.32, 1.16] | Zoledronic acid | . |
| 0.04 [ 0.02, 0.10] | 0.11 [ 0.02, 0.48] | 0.23 [ 0.06, 0.96] | 0.38 [ 0.10, 1.49] | Denosumab |
Results of network meta‐analysis for outcome adverse event: osteonecrosis of the jaw. Treatments are ordered by P‐Score (ascending). Only subnets with >1 designs. Upper triangle: direct estimates; lower triangle: network estimates. Comparisons should be read from left to right, and the estimate is in the cell in common between the column‐defining treatment and the row‐defining treatment. Effect estimates are presented as risk ratios (RR) with corresponding 95% confidence interval. For the network estimates in the lower triangle an RR below 1.0 favours the column‐defining treatment and for the direct estimates in the upper triangle an RR below 1.0 favours the row‐defining treatment (less events of osteonecrosis of the jaw). To obtain RRs for comparisons in the opposing direction, reciprocals should be taken.
No. of studies: 12. No. of treatments: 5. No. of pairwise comparisons: 14. No. of designs: 5
Qtotal=5.19, df=9, p=0.82 / Qwithin=5.12, df=7, p=0.65 / Qbetween=0.08, df=2, p=0.96; I²=0.0%, Tau²=0.0
The rankings according to the P‐score presented in Figure 28 need to be interpreted in conjunction with the associated confidence intervals, certainty of estimates and caution. No treatment/placebo was ranked first (P‐Score: 0.99), followed by clodronate (P‐Score: 0.75). Denosumab was ranked lowest (P‐Score: 0.03).
The fixed‐effect model did not show any differences compared to the random‐effects model (not shown). In the entire network, Cochran's Q test and generalised I2 statistics showed no important heterogeneity between studies (Qtotal = 5.19, P = 0.82 / Qwithin = 5.12, P = 0.65 / Qbetween = 0.08, P = 0.96; I2 = 0.0%, Tau2 = 0.0). Since there were closed loops in the network, inconsistencies could be analysed. Tests for inconsistencies in closed loops indicated no disagreements between direct and indirect estimates (Figure 29; Table 12).
29.

Comparison of direct and indirect evidence (in closed loops) for outcome adverse event: osteonecrosis of the jaw
Abbreviations: CI: confidence interval RR: risk ratio
11. Comparison of direct and indirect evidence (in closed loops) for outcome, adverse event: osteonecrosis of the jaw.
| Comparison | No. of studies | Network estimate | Direct estimate | Indirect estimate | Test for disagreement |
| Clodronate vs. ibandronate | 1 | 0.46 [0.19; 1.09] | 0.47 [0.19; 1.14] | 0.38 [0.01; 11.96] | 0.9119 |
| Clodronate vs. no treatment/placebo | 1 | 2.65 [0.83; 8.50] | 3.00 [0.12; 73.63] | 2.60 [0.75; 9.09] | 0.9354 |
| Clodronate vs. zoledronic acid | 1 | 0.28 [0.13; 0.61] | 0.28 [0.13; 0.61] | 0.38 [0.01; 11.14] | 0.8656 |
| Ibandronate vs. no treatment/placebo | 2 | 5.77 [2.04; 16.35] | 6.81 [1.25; 37.11] | 5.21 [1.39; 19.53] | 0.8074 |
| Ibandronate vs. zoledronic acid | 1 | 0.61 [0.32; 1.16] | 0.60 [0.30; 1.17] | 0.80 [0.10; 6.50] | 0.7911 |
| Zoledronic acid vs. no treatment/placebo | 6 | 9.41 [3.54; 24.99] | 8.47 [2.48; 28.92] | 11.28 [2.25; 56.49] | 0.7813 |
Estimates are reported as risk ratios with corresponding 95% confidence intervals. Results of tests for disagreement between direct and indirect evidence reported as P values. Only comparisons for which both direct and indirect evidence exists are shown.
Subgroup analysis
When the analysis was confined to a mixed population of pre and postmenopausal women (from 11 studies), the results were very similar to those obtained from the main analysis. There were no differences in the network diagram or the ranking according to the P‐score (data not shown).
Sensitivity analysis
One of the 12 studies was considered to be at a high risk of bias and was excluded in the sensitivity analysis. The results showed negligible differences, except that ibandronate no longer resulted in fewer events of osteonecrosis of the jaw compared to denosumab (RR 0.25, 95% CI 0.06 to 1.07), but confidence intervals were overlapping. There were no differences in the network diagram or the ranking according to the P‐score (data not shown).
Renal impairment
Eighteen studies reported renal impairment as an adverse event (ABCSG‐12 2011; ABCSG‐18 2019; AZURE 2018; Ellis 2008; FEMZONE 2014; GAIN 2013; Hershman 2008; HOBOE 2019; NATAN 2016; NEOZOL 2018; NSABP B‐34 2012; Powles 2006; Saarto 2004; Safra 2011; Sun 2016; SWOG S0307 2019; Team IIB 2006; Tevaarwerk 2007). Twelve studies including 22,469 participants were examined in the statistical analysis (ABCSG‐18 2019; AZURE 2018; FEMZONE 2014; GAIN 2013; HOBOE 2019; NATAN 2016; NEOZOL 2018; NSABP B‐34 2012; Powles 2006; Sun 2016; SWOG S0307 2019; Team IIB 2006). In six studies, there were no cases of renal impairment in either treatment arm (ABCSG‐12 2011; Ellis 2008; Hershman 2008; Saarto 2004; Safra 2011; Tevaarwerk 2007):
ABCSG‐12 2011 compared zoledronic acid to no treatment; there were 1803 participants with a median follow‐up time of 62 months.
Ellis 2008 compared denosumab to placebo; there were 252 participants with a follow‐up time of four years.
Hershman 2008 compared zoledronic acid to placebo; there were 114 participants with a follow‐up time of two years.
Saarto 2004 compared clodronate to no treatment; there were 299 participants with a follow‐up time of ten years.
Safra 2011 compared zoledronic acid to no treatment; there were 90 participants with a follow‐up time of five years.
Tevaarwerk 2007 compared zoledronic acid to no treatment; there were 68 participants with a follow‐up time of up to ten years.
Of the studies included in the statistical analysis, 10 included pre and postmenopausal women, while two studies included postmenopausal women only (FEMZONE 2014; Team IIB 2006). The network diagram is presented in Figure 30. The network, based on 14 pairwise comparisons, was connected and compared five different treatment options (clodronate, denosumab, ibandronate, zoledronic acid and no treatment/placebo). There were four closed loops in the network. A forest plot, including all pairwise comparisons, is shown in Figure 31.
30.

Network diagram for outcome adverse event: renal impairment. Any two treatments are connected by a line when there is at least one study comparing the two treatments. Line width: number of studies and node size: number of patients
31.

Forest plot of pairwise comparisons for the descriptive presentation of studies for outcome, adverse event: renal impairment
Network meta‐analysis
Evidence suggests denosumab (RR 0.40, 95% CI 0.19 to 0.88; moderate certainty), clodronate (RR 0.44, 95% CI 0.20 to 0.96; moderate certainty) and no treatment/placebo (RR 0.50, 95% CI 0.26 to 0.99; moderate certainty) are likely to reduce the occurrence of renal impairment compared to ibandronate (Figure 32; Table 13). Ibandronate increases the occurrence of renal impairment compared to no treatment/placebo (RR 1.98, 95% CI 1.01 to 3.88; moderate certainty). Zoledronic acid probably increases the occurrence of renal impairment compared to no treatment/placebo (RR 1.49, 95% CI 0.87 to 2.58; moderate certainty) while clodronate and denosumab probably result in little to no difference regarding the occurrence of renal impairment compared to no treatment/placebo (RR 0.88, 95% CI 0.55 to 1.39, RR 0.80, 95% CI 0.54 to 1.19, respectively, moderate certainty). Reasons for downgrading the evidence are provided in Table 1. It was not possible to rate the certainty of the evidence for alendronate, pamidronate and risedronate because they were not included in the network.
32.

Forest plot for outcome, adverse event: renal impairment: Random‐effects model Reference treatment: no treatment/placebo Treatments are ordered by P‐Score (descending).
Abbreviations: CI: confidence interval RR: risk ratio
12. League table: AE: renal impairment.
| Denosumab | . | 0.80 [0.54, 1.19] | . | . |
| 0.92 [0.50, 1.68] | Clodronate | 0.92 [0.57, 1.49] | 0.65 [0.11, 3.87] | 0.20 [0.04, 0.96] |
| 0.80 [0.54, 1.19] | 0.88 [0.55, 1.39] | No treatment/Placebo | 0.58 [0.32, 1.04] | 0.77 [0.34, 1.72] |
| 0.54 [0.27, 1.05] | 0.58 [0.29, 1.18] | 0.67 [0.39, 1.16] | Zoledronic acid | 0.31 [0.08, 1.19] |
| 0.40 [0.19, 0.88] | 0.44 [0.20, 0.96] | 0.50 [0.26, 0.99] | 0.75 [0.34, 1.66] | Ibandronate |
Results of network meta‐analysis for outcome, adverse event: renal. Treatments are ordered by P‐Score (ascending). Only subnets with > 1 designs. Upper triangle: direct estimates; lower triangle: network estimates. Comparisons should be read from left to right, and the estimate is in the cell in common between the column‐defining treatment and the row‐defining treatment. Effect estimates are presented as risk ratios (RR) with corresponding 95% confidence intervals. For the network estimates in the lower triangle, an RR below 1.0 favours the column‐defining treatment and for the direct estimates in the upper triangle, an RR below 1.0 favours the row‐defining treatment (fewer events of renal impairment). To obtain RRs for comparisons in the opposing direction, reciprocals should be taken.
No. of studies: 12 No. of treatments: 5 No. of pairwise comparisons: 14 No. of designs: 5
Qtotal = 5.40, df = 9, P = 0.80/Qwithin = 1.92, df = 7, P = 0.96/Qbetween = 3.48, df = 2, P = 0.18; I² = 0.0%, Tau² = 0.0
The rankings according to the P‐score presented in Figure 32 need to be interpreted in conjunction with the associated confidence intervals, certainty of estimates and caution. Although denosumab was ranked first (P‐Score: 0.86), clodronate (P‐Score: 0.75) resulted in a similar estimate, and the confidence intervals were overlapping. Ibandronate was ranked lowest (P‐Score: 0.07).
The fixed‐effect model did not show any differences compared to the random‐effects model (data not shown). In the entire network, Cochran's Q test and generalised I2 statistics showed no important heterogeneity between studies (Qtotal = 5.40, P = 0.80 / Qwithin = 1.92, P = 0.96 / Qbetween = 3.48, P = 0.18; I2 = 0.0 %, Tau2 = 0.0). Since there were closed loops in the network, inconsistencies could be analysed. Tests for inconsistencies in closed loops indicated no disagreements between direct and indirect estimates (Figure 33; Table 14).
33.

Comparison of direct and indirect evidence (in closed loops) for outcome, adverse event: renal impairment
Abbreviations: CI: confidence interval RR: risk ratio
13. Comparison of direct and indirect evidence (in closed loops) for outcome, adverse event: renal impairment.
| Comparsison | No. of studies | Network estimate | Direct estimate | Indirect estimate | Test for disagreement |
| Clodronate vs. ibandronate | 1 | 0.44 [0.20; 0.96] | 0.20 [0.04; 0.96] | 0.57 [0.23; 1.39] | 0.2543 |
| Clodronate vs. no treatment/placebo | 2 | 0.88 [0.55; 1.39] | 0.92 [0.57; 1.49] | 0.48 [0.10; 2.43] | 0.4500 |
| Clodronate vs. zoledronic acid | 1 | 0.59 [0.29; 1.18] | 0.65 [0.11; 3.87] | 0.58 [0.27; 1.23] | 0.9059 |
| Ibandronate vs. no treatment/placebo | 2 | 1.98 [1.01; 3.88] | 1.30 [0.58; 2.91] | 5.16 [1.53; 17.37] | 0.0636 |
| Ibandronate vs. zoledronic acid | 1 | 1.33 [0.60; 2.93] | 3.25 [0.84; 12.53] | 0.83 [0.31; 2.21] | 0.1098 |
| Zoledronic acid vs. no treatment/placebo | 6 | 1.49 [0.87; 2.58] | 1.73 [0.96; 3.12] | 0.63 [0.15; 2.64] | 0.2017 |
Estimates are reported as risk ratios with corresponding 95% confidence intervals. Results of tests for disagreement between direct and indirect evidence reported as P values. Only comparisons for which both direct and indirect evidence exists are shown.
Subgroup analysis
Two of the twelve included studies consisted of postmenopausal women only. When the subgroup analysis was confined to a mixed population of pre and postmenopausal women (from 10 studies), the results were very similar to those obtained from the main analysis except that clodronate (RR 0.43, 95% CI 0.18 to 1.02) and no treatment/placebo (RR 0.49, 95% CI 0.22 to 1.08) no longer resulted in fewer events of renal impairment compared to denosumab, but confidence intervals were overlapping. There were no differences in the network diagram or the ranking of treatments (data not shown).
Sensitivity analysis
None of the twelve studies had a high risk of bias, therefore no sensitivity analysis was performed.
Bone pain
Eighteen studies reported bone pain as an adverse event (ABCSG‐12 2011; ABCSG‐18 2019; Aft 2012; Delmas 1997; Ellis 2008; EXPAND 2011; FEMZONE 2014; Hershman 2008; HOBOE 2019; NATAN 2016; NEO‐ZOTAC BOOG 2010; Novartis I 2006; NSABP B‐34 2012; ProBONE II 2015; SABRE 2010; Solomayer 2012; Sun 2016; SWOG S0307 2019). Seventeen studies including 17,059 participants were examined in the statistical analysis (ABCSG‐12 2011; ABCSG‐18 2019; Aft 2012; Ellis 2008; EXPAND 2011; FEMZONE 2014; Hershman 2008; HOBOE 2019; NATAN 2016; NEO‐ZOTAC BOOG 2010; Novartis I 2006; NSABP B‐34 2012; ProBONE II 2015; SABRE 2010; Solomayer 2012; Sun 2016; SWOG S0307 2019). One study reported bone pain in a format that prevented inclusion of its data in the statistical analysis (Delmas 1997). There were no occurrences of bone pain in either treatment arm.
Of the 17 studies included in the statistical analysis, 13 studies included pre and postmenopausal women. Four studies included postmenopausal women only. The network diagram is presented in Figure 34. The network, based on nineteen pairwise comparisons, was connected and compared six different treatment options (clodronate, denosumab, ibandronate, risedronate, zoledronic acid and no treatment/placebo). There were three closed loops in the network. A forest plot, including all pairwise comparisons, is shown in Figure 35.
34.

Network diagram for outcome, adverse event: bone pain. Any two treatments are connected by a line when there is at least one study comparing the two treatments. Line width: number of studies and node size: number of patients
35.

Forest plot of pairwise comparisons for the descriptive presentation of studies for outcome, adverse event: bone pain
Network meta‐analysis
Evidence suggests that clodronate (RR 0.62, 95% CI 0.40 to 0.98; moderate certainty) and no treatment/placebo (RR 0.80, 95% CI 0.66 to 0.98; moderate certainty) are likely to reduce the occurrence of bone pain compared to zoledronic acid. Additionally, clodronate is likely to reduce the occurrence of bone pain compared to ibandronate (RR 0.57, 95% CI 0.35 to 0.94; moderate certainty) (Figure 36; Table 15).
36.

Forest plot for outcome, adverse event: bone pain: Random‐effects model Reference treatment: no treatment/placebo Treatments are ordered by P‐Score (descending).
Abbreviations: CI: confidence interval RR: risk ratio
14. League table: AE: bone pain.
| Clodronate | 0.76 [0.25, 2.32] | . | . | 0.63 [0.38, 1.03] | 0.57 [0.35, 0.95] |
| 0.78 [0.48, 1.25] | No treatment/placebo | 1.00 [0.06, 16.11] | 0.87 [0.56, 1.34] | 0.80 [0.66, 0.98] | . |
| 0.78 [0.05, 13.03] | 1.00 [0.06, 16.11] | Risedronate | . | . | . |
| 0.67 [0.35, 1.29] | 0.87 [0.56, 1.34] | 0.87 [0.05, 14.44] | Denosumab | . | . |
| 0.62 [0.40, 0.98] | 0.80 [0.66, 0.98] | 0.80 [0.05, 13.03] | 0.93 [0.57, 1.50] | Zoledronic acid | 0.92 [0.57, 1.48] |
| 0.57 [0.35, 0.94] | 0.74 [0.45, 1.22] | 0.74 [0.04, 12.44] | 0.85 [0.44, 1.66] | 0.92 [0.57, 1.47] | Ibandronate |
Results of network meta‐analysis for outcome, adverse event: bone pain. Treatments are ordered by P‐Score (ascending). Only subnets with > 1 designs. Upper triangle: direct estimates; lower triangle: network estimates. Comparisons should be read from left to right, and the estimate is in the cell in common between the column‐defining treatment and the row‐defining treatment. Effect estimates are presented as risk ratios (RR) with corresponding 95% confidence intervals. For the network estimates in the lower triangle, an RR below 1.0 favours the column‐defining treatment and for the direct estimates in the upper triangle, an RR below 1.0 favours the row‐defining treatment (fewer events of bone pain). To obtain RRs for comparisons in the opposing direction, reciprocals should be taken.
No. of studies: 17 No. of treatments: 6 No. of pairwise comparisons: 19 No. of designs: 5
Qtotal = 21.49, df = 13, P = 0.064/Qwithin = 21.48, df = 12, P = 0.044/Qbetween = 0.01, df = 1, P = 0.92; I² = 39.5%, Tau² = 0.0366
The rankings according to the P‐score presented in Figure 36 need to be interpreted in conjunction with the associated confidence intervals, certainty of estimates and caution. Clodronate was ranked first (P‐Score: 0.85), followed by no treatment/placebo (P‐Score: 0.65). Zoledronic acid (P‐Score: 0.30) and ibandronate (P‐Score: 0.25) were ranked the lowest.
The fixed‐effect model showed slight differences compared to the random‐effects model (data not shown). In the entire network, Cochran's Q test and generalised I2 statistics showed moderate heterogeneity between studies (Qtotal = 21.49, P = 0.064 / Qwithin = 21.48, P = 0.044 / Qbetween = 0.01, P = 0.92; I2 = 39.5 %, Tau2 = 0.0366). Since there were closed loops in the network, inconsistencies could be analysed. Tests for inconsistencies in closed loops indicated no disagreements between direct and indirect estimates (Figure 37; Table 16).
37.

Comparison of direct and indirect evidence (in closed loops) for outcome, adverse event: bone pain
Abbreviations: CI: confidence interval RR: risk ratio
15. Comparison of direct and indirect evidence (in closed loops) for outcome, adverse event: bone pain.
| Comparison | No. of studies | Network estimate | Direct estimate | Indirect estimate | Test for disagreement |
| Clodronate vs. ibandronate | 1 | 0.57 [0.35; 0.94] | 0.57 [0.35; 0.95] | 0.54 [0.05; 5.44] | 0.9576 |
| Clodronate vs. no treatment/placebo | 1 | 0.78 [0.48; 1.25] | 0.76 [0.25; 2.32] | 0.78 [0.46; 1.33] | 0.9576 |
| Clodronate vs. zoledronic acid | 1 | 0.62 [0.40; 0.98] | 0.63 [0.38; 1.03] | 0.61 [0.19; 1.89] | 0.9576 |
| Ibandronate vs. zoledronic acid | 1 | 1.09 [0.68; 1.75] | 1.09 [0.68; 1.76] | 1.02 [0.08; 13.11] | 0.9576 |
| Zoledronic acid vs. no treatment/placebo | 12 | 1.24 [1.02; 1.52] | 1.25 [1.02; 1.52] | 1.20 [0.35; 4.09] | 0.9576 |
Estimates are reported as risk ratios with corresponding 95% confidence intervals. Results of tests for disagreement between direct and indirect evidence reported as P values. Only comparisons for which both direct and indirect evidence exists are shown.
Subgroup analysis
When the subgroup analysis was confined to the 13 studies with both pre and postmenopausal women, the network diagram retained two closed loops and risedronate was absent as a treatment option. In this cluster analysis, the results were similar to the main analysis, except that clodronate (RR 0.63, 95% CI 0.39 to 1.01) and no treatment/placebo (RR 0.82, 95% CI 0.65 to 1.04) no longer resulted in fewer events of bone pain compared with zoledronic acid. The ranking according to the P‐score did not show any differences compared to the main analysis (data not shown).
When the subgroup analysis was confined to studies including postmenopausal only (4 studies), the network consisted of three different treatments (zoledronic acid, risedronate and no treatment/placebo). In this cluster analysis, the results were similar to those in the main analysis, except that no treatment/placebo no longer resulted in fewer events of bone pain compared with zoledronic acid (RR 0.73, 95% CI 0.47 to 1.13). The ranking according to the P‐score did not differ compared to the ranking in the main analysis (data not shown).
Sensitivity analysis
Of the 17 included studies, 11 were considered to be at a high risk of bias and were therefore excluded in the sensitivity analysis. Two different sensitivity analyses were conducted ‐ one including all participants and one including studies with a mixed population exclusively. In the analysis including all participants, ibandronate dropped out of the network. In general, the results showed similar effect estimates, but larger confidence intervals. Clodronate (RR 0.75, 95% CI 0.24 to 2.41) and no treatment/placebo (RR 1.00, 95% CI 0.66 to 1.51) no longer showed fewer events of bone pain compared to zoledronic acid. The ranking of treatments differed, with denosumab now ranked lowest, but confidence intervals were overlapping. In the analysis including studies with a mixed population, only risedronate additionally dropped out of the network. The results were similar to that of the first sensitivity analysis (data not shown).
Hypocalcaemia
Ten studies reported hypocalcaemia as an adverse event (ABCSG‐18 2019; D‐CARE 2013; Ellis 2008; GeparX 2016; HOBOE 2019; Kanis 1996; NEO‐ZOTAC BOOG 2010; NSABP B‐34 2012; SWOG S0307 2019; Tevaarwerk 2007). Seven studies including 18,628 participants were examined in the statistical analysis (ABCSG‐18 2019; D‐CARE 2013; GeparX 2016; HOBOE 2019; NEO‐ZOTAC BOOG 2010; NSABP B‐34 2012; SWOG S0307 2019). Three studies reported hypocalcaemia in a format where it was not possible to add the data to the statistical analysis (Ellis 2008; Kanis 1996; Tevaarwerk 2007). In these three studies, there were no cases of hypocalcaemia reported in either treatment arm:
Ellis 2008 compared denosumab to placebo; there were 252 participants with a follow‐up time of four years.
Kanis 1996 compared clodronate to placebo; there were 133 participants and the duration of the study was three years.
Tevaarwerk 2007 compared zoledronic acid to no treatment; there were 68 participants with a follow‐up time of up to ten years.
Of the studies included in the statistical analysis, all studies had mixed populations of pre and postmenopausal women. The network diagram is presented in Figure 38. The network, based on nine pairwise comparisons, was connected and compared five different treatment options (clodronate, denosumab, ibandronate, zoledronic acid and no treatment/placebo). There were two closed loops in the network. A forest plot, including all pairwise comparisons, is shown in Figure 39.
38.

Network diagram for outcome, adverse event: hypocalcaemia. Any two treatments are connected by a line when there is at least one study comparing the two treatments. Line width: number of studies and node size: number of patients
39.

Forest plot of pairwise comparisons for the descriptive presentation of studies for outcome, adverse event: hypocalcaemia
Network meta‐analysis
Evidence suggests that no treatment/placebo reduces the occurrence of hypocalcaemia compared to denosumab (RR 0.55, 95% CI 0.48 to 0.64; high certainty) (Figure 40; Table 17). No other comparison showed meaningful results because the evidence for hypocalcaemia was judged to be low certainty.
40.

Forest plot for outcome, adverse event: hypocalcaemia: Random‐effects model Reference treatment: no treatment/placebo Treatments are ordered by P‐Score (descending).
Abbreviations: CI: confidence interval RR: risk ratio
16. League table: AE: hypocalcaemia.
| Ibandronate | 0.72 [0.06, 7.88] | 0.46 [0.05, 4.45] | . | . |
| 0.66 [0.06, 6.77] | Clodronate | 0.65 [0.11, 3.87] | 0.50 [0.05, 5.55] | . |
| 0.49 [0.05, 4.55] | 0.74 [0.16, 3.34] | Zoledronic acid | 0.49 [0.12, 1.99] | . |
| 0.26 [0.02, 3.09] | 0.39 [0.08, 2.06] | 0.53 [0.15, 1.90] | No treatment/placebo | 0.55 [0.48, 0.64] |
| 0.14 [0.01, 1.72] | 0.22 [0.04, 1.15] | 0.29 [0.08, 1.06] | 0.55 [0.48, 0.64] | Denosumab |
Results of network meta‐analysis for outcome, adverse event: hypocalcaemia. Treatments are ordered by P‐Score (ascending). Only subnets with > 1 designs. Upper triangle: direct estimates; lower triangle: network estimates. Comparisons should be read from left to right, and the estimate is in the cell in common between the column‐defining treatment and the row‐defining treatment. Effect estimates are presented as risk ratios (RR) with corresponding 95% confidence intervals. For the network estimates in the lower triangle, an RR below 1.0 favours the column‐defining treatment and for the direct estimates in the upper triangle, an RR below 1.0 favours the row‐defining treatment (fewer events of hypocalcaemia). To obtain RRs for comparisons in the opposing direction, reciprocals should be taken.
No. of studies: 7 No. of treatments: 5 No. of pairwise comparisons: 9 No. of designs: 4
Qtotal = 1.86, df = 4, P = 0.76/Qwithin = 1.78, df = 3, P = 0.62/Qbetween = 0.07, df = 1, P = 0.78; I² = 0.0%, Tau² = 0.0
The rankings according to the P‐score presented in Figure 40 need to be interpreted in conjunction with the associated confidence intervals, certainty of estimates and caution. Although ibandronate was ranked first (P‐Score: 0.79), the confidence interval was very wide and the estimate was based on one study involving 3651 participants (RR 0.26, 95% CI 0.02 to 3.09). Denosumab was ranked lowest (P‐Score: 0.03).
The fixed‐effect model did not show any differences compared to the random‐effects model. In the entire network, Cochran's Q test and generalised I2 statistics showed no important heterogeneity between studies (Qtotal = 1.86, P = 0.76 / Qwithin = 1.78, P = 0.62 / Qbetween = 0.07, P = 0.78; I2 = 0.0 %, Tau2 = 0.0). Since there were closed loops in the network, inconsistencies could be analysed. Tests for inconsistencies in closed loops indicated no disagreements between direct and indirect estimates (Figure 41; Table 18).
41.

Comparison of direct and indirect evidence (in closed loops) for outcome, adverse event: hypocalcaemia
Abbreviations: CI: confidence interval RR: risk ratio
17. Comparison of direct and indirect evidence (in closed loops) for outcome, adverse event: hypocalcaemia.
| Comparison | No. of studies | Network estimate | Direct estimate | Indirect estimate | Test for disagreement |
| Clodronate vs. ibandronate | 1 | 1.52 [0.15; 15.55] | 1.40 [0.13; 15.40] | 5.59 [0.00; 84531.23] | 0.7842 |
| Clodronate vs. no treatment/placebo | 1 | 0.39 [0.08; 2.06] | 0.50 [0.05; 5.55] | 0.32 [0.03; 3.08] | 0.7842 |
| Clodronate vs. zoledronic acid | 1 | 0.74 [0.16; 3.34] | 0.65 [0.11; 3.87] | 1.03 [0.06; 16.58] | 0.7842 |
| Ibandronate vs. zoledronic acid | 1 | 0.49 [0.05; 4.55] | 0.46 [0.05; 4.45] | 2.94 [0.00; 1349690.87] | 0.7842 |
| Zoledronic acid vs. no treatment/placebo | 2 | 0.53 [0.15; 1.90] | 0.49 [0.12; 1.99] | 0.78 [0.04; 15.49] | 0.7842 |
Estimates are reported as risk ratios with corresponding 95% confidence intervals. Results of tests for disagreement between direct and indirect evidence reported as P values. Only comparisons for which both direct and indirect evidence exists are shown.
Subgroup analysis
All studies reporting hypocalcaemia consisted of mixed populations. Therefore, no subgroup analysis, separating studies with only pre or postmenopausal patients, was performed.
Sensitivity analysis
None of the included studies was considered to be at a high risk of bias. Therefore, no sensitivity analysis was performed.
Bone recurrence
Twenty‐one studies reported bone recurrence as an adverse event (ABCSG‐12 2011; ARIBON 2012; AZURE 2018; D‐CARE 2013; Diel 1998; Ellis 2008; EXPAND 2011; GAIN 2013; HOBOE 2019; JONIE 2017; Kanis 1996; Kristensen 2008; Mardiak 2000; NATAN 2016; Novartis I 2006; NSABP B‐34 2012; Powles 2006; Saarto 2004; Solomayer 2012; SWOG S0307 2019; Team IIB 2006). Eighteen studies including 27,087 participants were examined in the statistical analysis (ABCSG‐12 2011; ARIBON 2012; AZURE 2018; D‐CARE 2013; Ellis 2008; EXPAND 2011; GAIN 2013; HOBOE 2019; JONIE 2017; Kristensen 2008; Mardiak 2000; NATAN 2016; Novartis I 2006; NSABP B‐34 2012; Powles 2006; Saarto 2004; SWOG S0307 2019; Team IIB 2006). Three studies reported bone recurrence in a format where it was not possible to add the data to the statistical analysis (Diel 1998; Kanis 1996; Solomayer 2012). In one study, there were no cases of bone recurrence reported in either treatment arm:
Solomayer 2012 compared zoledronic acid to no treatment/placebo; there were 96 participants with a median follow‐up time of 88 months.
Of the studies included in the statistical analysis, 14 studies had mixed populations of pre and postmenopausal women. Four of the studies included postmenopausal women only. The network diagram is presented in Figure 42. The network, based on 20 pairwise comparisons, was connected and compared six different treatment options (clodronate, denosumab, ibandronate, pamidronate, zoledronic acid and no treatment/placebo). There were four closed loops in the network. A forest plot, including all pairwise comparisons, is shown in Figure 43.
42.

Network diagram for outcome: occurrence of bone metastases. Any two treatments are connected by a line when there is at least one study comparing the two treatments. Line width: number of studies and node size: number of patients
43.

Forest plot of pairwise comparisons for the descriptive presentation of studies for outcome, occurrence of bone metastases
Network meta‐analysis
Denosumab (RR 0.75, 95% CI 0.59 to 0.95; high certainty), clodronate (RR 0.82, 95% CI 0.70 to 0.95; high certainty), ibandronate (RR 0.83, 95% CI 0.75 to 0.91; high certainty) and zoledronic acid (RR 0.83, 95% CI 0.73 to 0.94; high certainty) reduce the occurrence of bone metastasis compared to no treatment/placebo. Additionally, denosumab (RR 0.66, 95% CI 0.47 to 0.95; high certainty), clodronate (RR 0.73, 95% CI 0.54 to 0.99; high certainty), ibandronate (RR 0.73, 95% CI 0.56 to 0.97; high certainty) and zoledronic acid (RR 0.74, 95% CI 0.55 to 0.98; high certainty) are even likely to reduce the occurrence of bone metastasis compared to pamidronate (Figure 44; Table 19).
44.

Forest plot for outcome occurrence of bone metastases: Random effects model. Reference treatment: No treatment/placebo. Treatments are ordered by P‐Score (descending). RR: risk ratio. CI: confidence interval.
18. League table: occurrence of bone metastases.
| Denosumab | . | . | . | 0.75 [0.59, 0.95] | . |
| 0.91 [0.69, 1.21] | Clodronate | 0.91 [0.69, 1.21] | 0.98 [0.76, 1.27] | 0.84 [0.70, 1.02] | . |
| 0.91 [0.70, 1.17] | 0.99 [0.84, 1.17] | Ibandronate | 1.07 [0.81, 1.42] | 0.82 [0.74, 0.90] | . |
| 0.90 [0.69, 1.18] | 0.99 [0.83, 1.18] | 1.00 [0.86, 1.16] | Zoledronic acid | 0.84 [0.72, 0.97] | . |
| 0.75 [0.59, 0.95] | 0.82 [0.70, 0.95] | 0.83 [0.75, 0.91] | 0.83 [0.73, 0.94] | No treatment/placebo | 0.89 [0.68, 1.15] |
| 0.66 [0.47, 0.95] | 0.73 [0.54, 0.99] | 0.73 [0.56, 0.97] | 0.74 [0.55, 0.98] | 0.89 [0.68, 1.15] | Pamidronate |
Results of network meta‐analysis for outcome, occurrence of bone metastases. Treatments are ordered by P‐Score (ascending). Only subnets with > 1 designs. Upper triangle: direct estimates; lower triangle: network estimates. Comparisons should be read from left to right, and the estimate is in the cell in common between the column‐defining treatment and the row‐defining treatment. Effect estimates are presented as risk ratios (RR) with corresponding 95% confidence intervals. For the network estimates in the lower triangle, an RR below 1.0 favours the column‐defining treatment and for the direct estimates in the upper triangle, an RR below 1.0 favours the row‐defining treatment (fewer events of bone metastasis). To obtain RRs for comparisons in the opposing direction, reciprocals should be taken.
No. of studies: 18 No. of treatments: 6 No. of pairwise comparisons: 20 No. of designs: 6
Qtotal = 10.51, df = 14, P = 0.72/Qwithin = 9.96, df = 12, P = 0.62/Qbetween = 0.54, df = 2, P = 0.76; I² = 0.0%, Tau² = 0.0
The rankings according to the P‐score presented in Figure 44 need to be interpreted in conjunction with the associated confidence intervals, certainty of estimates and caution. Denosumab was ranked first (P‐Score: 0.85). Pamidronate was ranked lowest.
The fixed‐effect model did not show any differences compared to the random‐effects model (data not shown). In the entire network, Cochran's Q test and generalised I2 statistics showed no important heterogeneity between studies (Qtotal = 10.51, P = 0.72 / Qwithin = 9.96, P = 0.62 /Qbetween = 0.54, P = 0.76; I2 = 0.0 %, Tau2 = 0.0). Since there were closed loops in the network, inconsistencies could be analysed. Tests for inconsistencies in closed loops indicated no disagreements between direct and indirect estimates (Figure 45; Table 20).
45.

Comparison of direct and indirect evidence (in closed loops) for outcome, occurrence of bone metastases
Abbreviations: CI: confidence interval RR: risk ratio
19. Comparison of direct and indirect evidence (in closed loops) for outcome, occurrence of bone metastases.
| Comparison | No. of studies | Network estimate | Direct estimate | Indirect estimate | Test for disagreement |
| Clodronate vs. ibandronate | 1 | 0.99 [0.84; 1.17] | 0.91 [0.69; 1.21] | 1.04 [0.84; 1.28] | 0.4711 |
| Clodronate vs. no treatment/placebo | 4 | 0.82 [0.70; 0.95] | 0.84 [0.70; 1.02] | 0.78 [0.61; 1.00] | 0.6310 |
| Clodronate vs. zoledronic acid | 1 | 0.99 [0.83; 1.18] | 0.98 [0.76; 1.27] | 1.00 [0.79; 1.27] | 0.9116 |
| Ibandronate vs. no treatment/placebo | 3 | 0.83 [0.75; 0.91] | 0.82 [0.74; 0.90] | 0.91 [0.69; 1.19] | 0.4718 |
| Ibandronate vs. zoledronic acid | 1 | 1.00 [0.86; 1.16] | 1.07 [0.81; 1.42] | 0.97 [0.82; 1.15] | 0.5520 |
| Zoledronic acid vs. no treatment/placebo | 7 | 0.83 [0.73; 0.94] | 0.84 [0.72; 0.97] | 0.80 [0.62; 1.03] | 0.7862 |
Estimates are reported as risk ratios with corresponding 95% confidence intervals. Results of tests for disagreement between direct and indirect evidence reported as P values. Only comparisons for which both direct and indirect evidence exists are shown.
Subgroup analysis
When analyses were restricted to studies with mixed populations only (14 studies), the analysis showed very similar results compared to the main analysis. Neither the effect estimates nor the ranking of treatments differed and there were negligible differences in some confidence intervals (data not shown).
In the cluster including studies with postmenopausal women only, four studies were included. The remaining treatments were ibandronate, zoledronic acid and no treatment/placebo. Compared to no treatment/placebo, ibandronate (RR 0.80, 95% CI 0.53 to 1.20) and zoledronic acid (RR 0.33, 95% CI 0.03 to 3.06) no longer resulted in fewer events of bone metastasis. The ranking according to the P‐score also differed slightly, with zoledronic acid now being ranked higher than ibandronate, but overall confidence intervals were very wide and overlapping (data not shown).
Sensitivity analysis
Four studies were considered to be at a high risk of bias and were therefore excluded from the sensitivity analysis. Two different sensitivity analyses were conducted ‐ one including all participants and one including studies with a mixed population exclusively. In the analysis involving all participants, pamidronate dropped out of the network. The results were very similar to the main analysis. Neither the effect estimates nor the ranking of treatments differed and there were negligible differences in some confidence intervals. In the analysis involving a mixed population, the results indicated the same treatment ranking and negligible differences in effect estimates and confidence intervals (data not shown).
Discussion
Summary of main results
The objectives of this review were to systematically evaluate the effect of different bone‐modifying agents for women with breast cancer in early or locally advanced stages, and to collect further information on the safety and efficacy of these interventions. We identified 47 studies involving 35,163 participants and investigating six bisphosphonates, one RANKL‐inhibitor ‐ denosumab, and no treatment/placebo. From the 47 studies, 34 studies, including 33,793 participants, were considered in quantitative analyses and 13 studies could not be included in the analyses. For each outcome, the network was connected, so a ranking of all treatment options was possible; however, a clear winner could not be determined. See Table 1.
Bone mineral density: zoledronic acid leads to increased bone mineral density compared to no treatment/placebo. Ibandronate may slightly increase bone mineral density compared to no treatment/placebo. Risedronate may result in little to no difference regarding bone mineral density compared to no treatment/placebo and it is uncertain whether alendronate increases bone mineral density compared to no treatment/placebo.
Quality of life: three studies reported quality of life; all three studies showed minimal differences in quality of life between the respective interventions examined (zoledronic acid, denosumab, risedronate and no treatment/placebo).
Fracture rate: clodronate and ibandronate decrease the number of fractures compared to no treatment/placebo and pamidronate. Denosumab and zoledronic acid probably slightly decrease the number of fractures compared to no treatment/placebo while pamidronate probably increases the number of fractures compared to no treatment/placebo. Finally, risedronate may decrease or increase the number of fractures compared to no treatment/placebo.
Overall survival: evidence from network meta‐analyses showed no meaningful results in comparisons of overall survival between all treatment options. Clodronate, denosumab, ibandronate and zoledronic acid may result in little to no difference regarding overall survival compared to no treatment/placebo. Contrary to these results, a comprehensive review using individual participant data has shown that, in postmenopausal women, there is a survival benefit from bisphosphonates (EBCTCG 2015). The difference in results between this Cochrane review and the EBCTCG 2015 review is that the latter review combines individual participant data rather than aggregate data, and important analyses by menopausal status were possible.
Osteonecrosis of the jaw: clodronate resulted in fewer events of osteonecrosis of the jaw compared to zoledronic acid, and ibandronate leads to a reduced risk for osteonecrosis of the jaw compared to denosumab. Ibandronte, zoledronic acid and denosumab lead to a higher risk for osteonecrosis of the jaw compared to no treatment/placebo.
Renal impairment: clodronate, denosumab and no treatment/placebo lead to a decrease in the number of renal impairments compared to ibandronate. Ibandronate and zoledronic acid likely increase the occurrence of renal impairment compared to no treatment/placebo, while clodronate and denosumab show minimal difference in the occurrence of renal impairment compared to no treatment/placebo.
Overall completeness and applicability of evidence
We were able to compare all eight treatment options presented in our ideal network, which consisted of different bisphosphonates, the RANKL‐inhibitor denosumab and no treatment/placebo for the prevention of bone loss in women with early or locally advanced breast cancer.
Not all studies reported on key outcomes, resulting in very different graphical networks for each outcome. Our main outcome, bone mineral density, was measured differently across studies, so information from a subset of studies could be used for our analysis.
For each outcome, a connected network could be analysed, so all respective treatment options could be compared for each outcome.
We detected substantial inconsistency in the outcome of bone mineral density, moderate‐to‐substantial inconsistency for overall survival, and moderate inconsistency within the network for bone pain, indicating differences within pairwise comparisons. We found no signs of inconsistencies between direct and indirect evidence. However, this inconsistency within pairwise comparisons can not be statistically explained or resolved in sensitivity and subgroup analyses. It probably originates from the interplay of some effect modifiers, in which our included studies slightly differ (e.g. cancer stages, study start date, and regions). These are only minor differences. From a clinical point of view, our included studies, therefore, remain largely comparable.
In addition to the studies included in this review, we are aware of a further 12 studies which may be eligible for inclusion in our review. Of these, ten studies are still awaiting assessment as no results were available, and two are still ongoing. These studies may alter our results if included in our analyses.
Despite these limitations, we were able to identify an extensive number of studies. We were able to consider the experience of almost 35,000 participants, emphasising the overall completeness and applicability of our findings.
Quality of the evidence
Risk of bias
We rated the risk of bias for each study. We took into consideration if outcomes were objective or subjective to participants and outcome assessors. Overall, nine studies showed a high risk of bias in two or more domains. The risk of bias was mostly related to blinding and reporting bias. The reasons why the risk of bias was unclear were often due to insufficient available information to make a judgement.
Certainty of the evidence
The certainty of the evidence for most outcomes was assessed as moderate. This included fracture rate, osteonecrosis of the jaw and renal impairment as they showed imprecision (mostly downgraded one point). Bone mineral density and overall survival were assessed as being at very low to low certainty. We downgraded one point for inconsistency and one to two points due to imprecision, since 95% confidence intervals were wide and/or crossed unity.
Potential biases in the review process
One review author, an information specialist experienced in medical terminology, developed the sensitive search strategy. We searched all relevant databases, trial registries, conference proceedings, and reference lists and are, therefore, confident that we have identified all relevant studies.
To minimise potential biases in the review process, we conducted the selection of studies, data extraction, risk of bias assessment and GRADE assessment in duplicate by two independent review authors and consulted a third review author in case no consensus could be reached. We collated multiple reports of the same study, so that each study rather than each report was the unit of interest in the review. However, comprehensive reporting of identified records was partially scarce, which complicated correct allocation of the reports. In case we were uncertain whether two reports belonged to the same trial, we considered them as individual trials.
We decided to combine no treatment and placebo. By doing so, we gained networks, which were more connected and were able to compare all of our included treatment options directly.
For our primary outcome, we had planned to create funnel plots for comparisons when including at least 10 studies. Unfortunately, there were not enough studies to create a funnel plot for any comparison. Instead, we created a comparison‐adjusted funnel plot, but we were not able to test for small‐study effects as the number of studies was too limited. Nevertheless, visual inspection of the funnel plot did not show evidence of small‐study effects.
For a more comprehensive presentation of results, we estimated absolute treatment effects using the actual reported event rates for our chosen main comparator (no treatment/placebo). However, if we choose another comparator to estimate absolute event rates, these effects could all change. This applies to bone mineral density, where we estimated the average T‐score from all control groups, and for overall survival, where we used the five‐year‐survival from Team IIB 2006 to calculate anticipated absolute effects. Thus, when interpreting the results of our network meta‐analysis, it must be considered that the reported absolute event rates are for illustrative purposes and do not reflect anticipated real‐life event rates.
The Summary of findings table is not ideal for presenting the results of such extensive analysis. Also, we surmise that the overall judgement of the risk of bias and the certainty in the evidence could diverge between different author teams. The risk of bias tool and GRADE approach are sensitive to subjective assessments and can be done more or less stringently.
Agreements and disagreements with other studies or reviews
To our knowledge, this is the first comprehensive review with network meta‐analysis comparing different bisphosphonates and the RANKL inhibitor, denosumab, for women with breast cancer in early or locally advanced stages.
Our review showed similar results to the systematic review and meta‐analysis by Valachis 2011, comparing zoledronic acid versus no/delayed use in primary breast cancer, for fracture rate and disease‐free survival. Valachis 2011 showed a benefit for the use of zoledronic acid for overall survival, whereas our review resulted in little to no difference. Our review showed similar results to the review evaluating bisphosphonates in women with early breast cancer (Vidal 2012) where there were significant beneficial effects on survival for bisphosphonate use compared to no use (Vidal 2012). For overall survival, however, the effects of ibandronate and pamidronate pointed in the opposite direction in our review.
A systematic review and network meta‐analysis evaluating the effect of denosumab compared to bisphosphonates, selective oestrogen receptor modulators and placebo in women with hormone‐sensitive cancer receiving endocrine therapy showed increased bone mineral density for denosumab, ibandronate and risedronate compared to placebo (Nicolopoulos 2023). In general, our review showed similar results yielding small beneficial effects for bisphosphonate use compared to no treatment/placebo.
Our review showed similar results regarding disease‐free survival, fracture rate and bone metastases to the systematic review and meta‐analysis evaluating the effects of bisphosphonates and denosumab in women with early breast cancer (O'Carrigan 2017). The review showed a survival benefit of bone agents when analyses were confined to postmenopausal women, so too did the comprehensive review including individual participant data (EBCTCG 2015).
Authors' conclusions
Implications for practice.
The findings of our systematic review and network meta‐analyses may assist clinicians and patients in making decisions regarding the use of bone‐modifying agents for women with breast cancer in early or locally advanced stages. Our results provide a comprehensive overview of different bone‐modifying agents, including a treatment ranking for each outcome. However, our analysis did not identify a clear frontrunner when considering a range of outcomes. It is important to interpret the rankings and all considered outcomes cautiously before reaching a decision. Due to missing data from the included studies, not all treatments could be compared to each other for each outcome. More trials with head‐to‐head comparisons, encompassing all potential agents, are needed to provide a complete picture and validate the results of this analysis.
When interpreting the results of this systematic review, it is crucial to understand that network meta‐analyses are not a substitute for direct head‐to‐head comparisons. Also, it is important to acknowledge that the results of this network meta‐analysis do not necessarily rule out differences which could be clinically relevant for certain individuals.
Implications for research.
Despite sufficient direct and indirect comparisons of various treatment options in the network meta‐analysis, head‐to‐head trials are required to offer clear recommendations. Future trials should consistently report all patient‐relevant outcomes. Most studies have primarily focussed on comparing a single bone‐modifying agent to either no treatment or placebo. Only one three‐arm study (SWOG S0307 2019) examined different bisphosphonates against each other. No other study compared different bisphosphonates or a bisphosphonate against the RANKL‐inhibitor denosumab. Hence, studies comparing different bisphosphonates or comparing a bisphosphonate against denosumab would be highly beneficial.
History
Protocol first published: Issue 10, 2019
Acknowledgements
We wish to thank Birgit Jorzick, Hedy Kerek‐Bodden and Gisela Schwesig from Frauenselbsthilfe nach Krebs e.V. for their content input and support, as well as joint discussion with regard to relevance of outcomes of interest to patients.
We thank the peer reviewers who gave input at the protocol stage.
Special thanks to Yuan Chi, MD, MMed, a Cochrane Member and Researcher at Beijing Health Technology Co., Ltd, Beijing, China, who helped screen references for inclusion or exclusion written in Chinese.
We also like to thank the 44 people participating in the screening process via Screen4me. As representation of all of them, we here list the ones who screened more than 250 references each: Anna Noel‐Storr, Sergiu Chirila, Igor Svintsitskyi, Riccardo Guarise, Stella Maria, Nikolaos Sideris O'Brien, Anna Resolver, Nuno Fernandes, Sadie Miller, Lyle Croyle, Fazal Ghani, Abdolvahid Sadeghnejad. Your work was very much appreciated!
Furthermore, we wish to thank the editorial team of the Cochrane Breast Cancer Group, for their clinical advice and methodological support.
We also like to thank Anne Lethaby, Cochrane Central Production Service, for copy‐editing and final proofreading.
Appendices
Appendix 1. Search strategies
CENTRAL (via Cochrane Library)
ID Search
#1 MeSH descriptor: [Breast Neoplasms] explode all trees
#2 breast near cancer*
#3 breast near neoplasm*
#4 breast near carcinom*
#5 breast near tumour*
#6 breast bear tumor*
#7 breast near malignan*
#8 #1 or #2 or #3 or #4 or #5 or #6 or #7
#9 MeSH descriptor: [Diphosphonates] explode all trees
#10 (diphosphonate* or diphosph*nate*)
#11 (bisphosph*nate* or biphosph*nate*)
#12 (diphosphonic* or bisphosphonic*)
#13 #9 or #10 or #11 or #12
#14 MeSH descriptor: [Alendronate] explode all trees
#15 (alendronat* or aledronic*)
#16 (fosamax* or binosto* or adronat* or alendros* or onclast*)
#17 #14 or #15 or #16
#18 MeSH descriptor: [Clodronic Acid] explode all trees
#19 (clodronic* or clodronat*)
#20 (bonefos* or clasteon* or difosfonal* or ossiten* or mebonat* or loron*)
#21 Cl2MDP
#22 #18 or #19 or #20 or #21
#23 MeSH descriptor: [Etidronic Acid] explode all trees
#24 (etidronic* or etidronat*)
#25 (didronel* or xidifon* or dicalcium or xidiphon*)
#26 (HEDP or EHDP)
#27 #23 or #24 or #25 or #26
#28 MeSH descriptor: [Technetium Tc 99m Medronate] explode all trees
#29 (medronat* or medronic*)
#30 (Technetium near/2 Tc 99m near/2 Medronat*)
#31 (Tc‐99m‐MDP or Tc‐MDP)
#32 #28 or #29 or #30 or #31
#33 (ibandronic* or ibandrovic* or ibandronat*)
#34 (bon*iva* or bondronat* or adronil*)
#35 (RPR102289A or RPR‐102289A)
#36 (BM210955 or BM‐210955)
#37 #33 or #34 or #35 or #36
#38 (pamidronat* or pamidronic* or amidronat*)
#39 MeSH descriptor: [Risedronic Acid] explode all trees
#40 (risedronic* or risedronat*)
#41 (actonel* or atelvia* or benet* or optinate*)
#42 (NE58095 or NE‐58095)
#43 #38 or #39 or #40 or #41 or #42
#44 (zoledronic* or zoledronat*)
#45 (zometa* or zomera* or aclasta* or reclast* or aredia* or orazol*)
#46 (m05BA08 or CGP‐42446$ or CGP42446$ or zol‐446 or zol446)
#47 #44 or #45 or #46
#48 (neridronat* or neridronic*)
#49 ("AHHexBP" or "6AHHDP" or "6‐AHHDP" or nerixia)
#50 #48 or #49
#51 (tiludronat* or tiludronic*)
#52 (skelid* or tildren* or sr 42329 or sr42329 or sr 41319b or sr41319b)
#53 #51 or #52
#54 (incadronat* or incadronic*)
#55 (cimadronat* or cimadronic*)
#56 (bisphonal* or YM175 or YM 175)
#57 #54 or #55 or #56
#58 MeSH descriptor: [RANK Ligand] explode all trees
#59 (rank* near/3 ligand*)
#60 RANK ligand inhibitor*
#61 (protein* near/2 RANKL) or (protein* near/2 TRANCE)
#62 (osteoclast* near/2 differentiation factor*)
#63 (osteoclast* near/2 ligand*)
#64 Tumor Necrosis Factor‐Related Activation‐Induced Cytokin*
#65 #58 or #59 or #60 or #61 or #62 or #63 or #64
#66 MeSH descriptor: [Receptor Activator of Nuclear Factor‐kappa B] explode all trees
#67 ((receptor activator* near/3 nf‐kappab) or (receptor activator* near/3 nuclear factor kappab))
#68 ((receptor activator* near/3 nf‐kappa) or (receptor activator* near/3 nuclear factor kappa))
#69 tnfrsf11a
#70 (trance r or trance receptor*)
#71 #66 or #67 or #68 or #69 or #70
#72 MeSH descriptor: [Denosumab] explode all trees
#73 denosumab*
#74 (xgeva* or prolia*)
#75 (AMG162 or AMG‐162)
#76 #72 or #73 or #74 or #75
#77 romosozumab*
#78 (AMG 785 or AMG785)
#79 (cdp 7851 or cdp7851)
#80 evenity*
#81 #77 or #78 or #79 or #80
#82 blosozumab*
#83 (Ly2541546 or Ly 2541546)
#84 #82 or #83
#85 #13 or #17 or #22 or #27 or #32 or #37 #43 or #47 or #50 or #53 or #57 or #65 or #71 or #76 or #81 or #84
#86 #8 and #85
MEDLINE (via Ovid)
# Searches
1 exp BREAST NEOPLASMS/
2 (breast adj6 cancer*).tw.
3 (breast adj6 neoplasm*).tw.
4 (breast adj6 carcinoma*).tw.
5 (breast adj6 tumo?r*).tw.
6 or/1‐5
7 exp DIPHOSPHONATES/
8 (disphosphonate* or diphosph#nate*).tw,kf,ot,nm.
9 (bisphosph#nate* or biphosph#nate*).tw,kf,ot,nm.
10 (diphosphonic* or bisphosphonic*).tw,kw,ot,nm.
11 or/7‐10
12 ALENDRONATE/
13 (alendronat* or aledronic*).tw,kf,ot,nm.
14 (fosamax* or binosto* or adronat* or alendros* or onclast*).tw,kf,ot,nm.
15 or/12‐14
16 CLODRONIC ACID/
17 (clodronic* or clodronat*).tw,kf,ot,nm.
18 (bonefos* or clasteon* or difosfonal* or ossiten* or mebonat* or loron*).tw,kf,ot,nm.
19 Cl2MDP.tw,kf,ot,nm.
20 or/16‐19
21 ETIDRONIC ACID/
22 (etidronic* or etidronat*).tw,kf,ot,nm.
23 (didronel* or xidifon* or dicalcium or xidiphon*).tw,kf,ot.
24 (HEDP or EHDP).tw,kf,ot.
25 or/21‐24
26 TECHNETIUM TC 99M MEDRONATE/
27 (medronat* or medronic*).tw,kf,ot,nm.
28 (Technetium adj2 Tc 99m adj2 Medronat*).tw,kf,ot,nm.
29 or/26‐28
30 IBANDRONIC ACID/
31 (ibandronic* or ibandrovic* or ibandronat*).tw,kf,ot,nm.
32 (bon?iva* or bondronat* or adronil*).tw,kf,ot,nm.
33 (RPR102289A or RPR‐102289A).tw,kf,ot,nm.
34 (BM210955 or BM‐210955).tw,kf,ot,nm.
35 or/30‐34
36 PAMIDRONATE/
37 (pamidronat* or pamidronic* or amidronat*).tw,kf,ot,nm.
38 or/36‐37
39 RISEDRONIC ACID/
40 (risedronic* or risedronat*).tw,kf,ot,nm.
41 (actonel* or atelvia* or benet* or optinate*).tw,kf,ot,nm.
42 (NE58095 or NE‐58095).tw,kf,ot,nm.
43 or/39‐42
44 ZOLEDRONIC ACID/
45 (zoledronic* or zoledronat*).tw,kf,ot,nm.
46 (zometa* or zomera* or aclasta* or reclast* or aredia* or orazol*).tw,kf,ot,nm.
47 (m05BA08 or CGP‐42446$ or CGP42446$ or zol‐446 or zol446).tw,kf,ot,nm.
48 or/44‐47
49 (neridronat* or neridronic*).tw,kf,ot,nm.
50 (AHHexBP or 6AHHDP or 6‐AHHDP or nerixia).tw,kf,ot,nm.
51 or/49‐50
52 (tiludronat* or tiludronic*).tw,kf,ot,nm.
53 (skelid* or tildren* or sr 42329 or sr42329 or sr 41319b or sr41319b).tw,kf,ot,nm.
54 or/52‐53
55 (incadronat* or incadronic*).tw,kf,ot,nm.
56 (cimadronat* or cimadronic*).tw,kf,ot,nm.
57 (bisphonal* or YM175 or YM 175).tw,kf,ot,nm.
58 or/55‐57
59 (olpadronat* or olpadronic*).tw,kf,ot,nm.
60 (ig 8801 or ig8801).tw,kf,ot,nm.
61 or/59‐60
62 RANK LIGAND/
63 (rank* adj3 ligand*).tw,kf,ot,nm.
64 ((protein* adj2 RANKL) or (protein* adj2 TRANCE)).tw,kf,ot,nm.
65 (osteoclast* adj2 differentiation factor*).tw,kf,ot,nm.
66 (osteoclast* adj2 ligand*).tw,kf,ot,nm.
67 tumor necrosis factor related activation induced cytokine.tw,kf,ot,nm.
68 or/62‐67
69 RECEPTOR ACTIVATOR OF NUCLEAR FACTOR‐KAPPA B/
70 ((receptor activator* adj3 nf‐kappab) or (receptor activator* adj3 nuclear factor kappab)).tw,kf,ot,nm.
71 ((receptor activator* adj3 nf‐kappa) or (receptor activator* adj3 nuclear factor kappa)).tw,kf,ot,nm.
72 tnfrsf11a.tw.
73 (trance r or trance receptor*).tw,kf,ot,nm.
74 or/69‐73
75 DENOSUMAB/
76 denosumab*.tw,kf,ot,nm.
77 (xgeva* or prolia*).tw,kf,ot,nm.
78 (AMG162 or AMG‐162).tw,kf,ot,nm.
79 or/75‐78
80 romosozumab*.tw,kf,ot,nm.
81 (cdp 7851 or cdp7851).tw,kf,ot,nm.
82 (AMG 785 or AMG785).tw,kf,ot,nm.
83 evenity*.tw,kf,ot,nm.
84 or/80‐83
85 blosozumab*.tw,kf,ot,nm.
86 (Ly2541546 or Ly 2541546).tw,kf,ot,nm.
87 or/85‐86
88 15 or 20 or 25 or 29 or 35 or 38 or 43 or 48 or 51 or 54 or 58 or 61 or 68 or 74 or 79 or 84 or 87
89 randomized controlled trial.pt.
90 controlled clinical trial.pt.
91 randomi?ed.ab.
92 placebo.ab.
93 drug therapy.fs.
94 randomly.ab.
95 trial.ab.
96 groups.ab.
97 or/89‐96
98 CLINICAL TRIAL, PHASE III/
99 ("Phase 3" or "phase3" or "phase III" or P3 or "PIII").ti,ab,kw.
100 98 or 99
101 exp ANIMALS/ not HUMANS/
102 (97 or 100) not 101
103 6 and 88 and 102
Embase (via Ovid)
# Searches
1 exp BREAST/
2 exp BREAST DISEASE/
3 (1 or 2) and exp NEOPLASM/
4 exp BREAST TUMOR/
5 exp BREAST CANCER/
6 exp BREAST CARCINOMA/
7 (breast* adj5 (neoplas* or cancer* or carcin* or tumo* or metasta* or malig*)).ti,ab.
8 or/3‐7
9 exp BISPHOSPHONIC ACID DERIVATIVE/
10 (diphosphonate* or diphosph#nate*).tw,kw,ot.
11 (bisphosph#nate* or biphosph#nate*).tw,kw,ot.
12 (diphosphonic* or bisphosphonic*).tw,kw,ot.
13 or/9‐12
14 ALENDRONIC ACID/
15 (alendronat* or aledronic*).tw,kw,ot.
16 (fosamax* or binosto* or adronat* or alendros* or onclast* or alend*).tw,kw.
17 or/14‐16
18 CLODRONIC ACID/
19 (clodronic* or clodronat*).tw,kw.
20 (bonefos* or clasteon* or difosfonal* or ossiten* or mebonat* or loron*).tw,kw.
21 Cl2MDP.tw,kw.
22 or/18‐21
23 ETIDRONIC ACID/
24 (etidronic* or etidronat*).tw.
25 (didronel* or xidifon* or dicalcium or xidiphon*).tw,kw.
26 (HEDP or EHDP).tw,kw.
27 or/23‐26
28 MEDRONATE TECHNETIUM TC 99M/
29 (medronat* or medronic*).tw,kw.
30 (Technetium adj2 Tc 99m adj2 Medronat*).tw,kw.
31 (Tc 99m MDP or Tc MDP).tw,kw.
32 or/28‐31
33 IBANDRONIC ACID/
34 (ibandronic* or ibandrovic* or ibandronat*).tw,kw.
35 (bon?iva* or bondronat* or adronil*).tw,kw.
36 (RPR102289A or RPR‐102289A).tw,kw.
37 (BM210955 or BM‐210955).tw,kw.
38 or/33‐37
39 PAMIDRONIC ACID/
40 (pamidro* or pamidronic* or amidronat*).tw,kw.
41 or/39‐40
42 RISEDRONIC ACID/
43 (risedronic* or risedronat*).tw,kw.
44 (actonel* or atelvia* or benet* or optinate*).tw,kw.
45 (NE58095 or NE‐58095).tw,kw.
46 (cgp 23339 or cgp23339 or cgp 23339a or cgp 23339a).tw,kw.
47 or/42‐46
48 ZOLEDRONIC ACID/
49 (zoledronic* or zoledronat*).tw,kw.
50 (zometa* or zomera* or aclasta* or reclast* or aredia* or orazol*).tw,kw.
51 (m05BA08 or CGP‐42446 or CGP42446 or CGP‐42446a or CGP42446a or zol‐446 or zol446).tw,kw.
52 or/48‐51
53 NERIDRONIC ACID/
54 (neridronat* or neridronic*).tw,kw.
55 (AHHexBP or 6AHHDP or 6‐AHHDP or nerixia).tw,kw.
56 or/53‐55
57 TILUDRONIC ACID/
58 (tiludronat* or tiludronic*).tw,kw.
59 (skelid* or tildren* or sr 42329 or sr42329 or sr 41319b or sr41319b).tw,kw.
60 or/57‐59
61 INCADRONIC ACID/
62 (incadronat* or incadronic*).tw,kw.
63 (cimadronat* or cimadronic*).tw,kw.
64 (bisphonal* or YM 175 or YM175).tw,kw.
65 or/61‐64
66 OLPADRONIC ACID/
67 (olpadronat* or olpadronic*).tw,kw.
68 (ig 8801 or ig8801).tw,kw.
69 or/66‐68
70 OSTEOCLAST DIFFERENTIATION FACTOR/
71 (osteoclast* adj2 differentiation factor*).tw,kw.
72 (osteoclast* adj2 ligand*).tw,kw.
73 (rank* adj3 ligand*).tw,kw.
74 ((protein* adj2 RANKL) or (protein* adj2 TRANCE)).tw,kw.
75 tumor necrosis factor related activation induced cytokine.tw,kw.
76 or/70‐75
77 "RECEPTOR ACTIVATOR OF NUCLEAR FACTOR KAPPA B"/
78 ((receptor activator* adj3 nf‐kappab) or (receptor activator* adj3 nuclear factor kappab)).tw,kw.
79 ((receptor activator* adj3 nf‐kappa) or (receptor activator* adj3 nuclear factor kappa)).tw,kw.
80 tnfrsf11a.tw.
81 (trance r or trance receptor*).tw,kw.
82 or/77‐81
83 DENOSUMAB/
84 denosumab*.tw,kw.
85 (xgeva* or prolia*).tw,kw.
86 (AMG162 or AMG‐162).tw,kw.
87 or/83‐86
88 ROMOSOZUMAB/
89 (cdp 7851 or cdp7851).tw,kw.
90 (AMG 785 or AMG785).tw,kw.
91 evenity*.tw,kw.
92 or/88‐91
93 BLOSOZUMAB/
94 blosozumab*.tw,kw.
95 (Ly2541546 or Ly 2541546).tw,kw.
96 93 or 94 or 95
97 13 or 17 or 22 or 27 or 32 or 38 or 41 or 47 or 52 or 56 or 60 or 65 or 69 or 76 or 82 or 87 or 92 or 96
98 8 and 97
99 RANDOMIZED CONTROLLED TRIAL/
100 CONTROLLED CLINICAL STUDY/
101 Random*.ti,ab.
102 RANDOMIZATION/
103 INTERMETHOD COMPARISON/
104 placebo.ti,ab.
105 (compare or compared or comparison).ti.
106 (open adj label).ti,ab.
107 ((double or single or doubly or singly) adj (blind or blinded or blindly)).ti,ab.
108 DOUBLE BLIND PROCEDURE/
109 parallel group$1.ti,ab.
110 (crossover or cross over).ti,ab.
111 ((assign$ or match or matched or allocation) adj5 (alternate or group$1 or intervention$1 or patient$1 or subject$1 or participant$1)).ti,ab.
112 (controlled adj7 (study or design or trial)).ti,ab.
113 (volunteer or volunteers).ti,ab.
114 trial.ti.
115 or/99‐114
116 8 and 97 and 115
ClinicalTrials.gov
expert search: (breast cancer OR breast neoplasm* OR breast carcinoma*) AND (bisphosphonates OR diphosphonates OR zoledronate OR "zoledronic acid" OR clodronate OR "clodronic acid" OR "etidronic acid" OR etidronate OR medronate OR medronic OR alendronate OR aledronic OR ibandronate OR ibandronic OR pamidronate OR pamidronic OR risedronate OR risedronic OR tiludronate OR tiludronic OR incadronate OR incadronic OR olpadronate OR olpadronic OR neridronate OR neridronic OR rank OR osteoclast OR denosumab OR romosozumab OR blosozumab)
WHO ICTRP
Three searches with following deduplication
#1
"breast cancer" AND bisphosphonates OR "breast cancer" AND diphosphonates OR "breast cancer" AND zoledronate OR "breast cancer" AND "zoledronic acid" OR "breast cancer" AND clodronate OR "breast cancer" AND "clodronic acid" OR breast cancer AND "etidronic acid" OR breast cancer AND etidronate OR breast cancer AND medronate OR "breast cancer" AND medronic OR "breast cancer" AND alendronate OR "breast cancer" AND aledronic OR "breast cancer" AND ibandronate OR "breast cancer" AND ibandronic OR "breast cancer" AND pamidronate OR "breast cancer" AND pamidronic OR "breast cancer" AND risedronate OR "breast cancer" AND risedronic OR "breast cancer" AND tiludronate OR "breast cancer" AND tiludronic OR "breast cancer" AND incadronate OR "breast cancer" AND incadronic OR "breast cancer" AND olpadronate OR "breast cancer" AND olpadronic OR "breast cancer" AND neridronate OR "breast cancer" AND neridronic OR "breast cancer" AND rank OR "breast cancer" AND osteoclast OR "breast cancer" AND denosumab OR "breast cancer" AND romosozumab OR "breast cancer "AND blosozumab
#2
"breast neoplasm" AND bisphosphonates OR "breast neoplasm" AND diphosphonates OR "breast neoplasm" AND zoledronate OR "breast neoplasm" AND "zoledronic acid" OR "breast neoplasm" AND clodronate OR "breast neoplasm" AND "clodronic acid" OR "breast neoplasm" AND "etidronic acid" OR "breast neoplasm" AND etidronate OR "breast neoplasm" AND medronate OR "breast neoplasm" AND medronic OR "breast neoplasm" AND alendronate OR "breast neoplasm" AND aledronic OR "breast neoplasm" AND ibandronate OR "breast neoplasm" AND ibandronic OR "breast neoplasm" AND pamidronate OR "breast neoplasm" AND pamidronic OR "breast neoplasm" AND risedronate OR "breast neoplasm" AND risedronic OR "breast neoplasm" AND tiludronate OR "breast neoplasm" AND tiludronic OR "breast neoplasm" AND incadronate OR "breast neoplasm" AND incadronic OR "breast neoplasm" AND olpadronate OR "breast neoplasm" AND olpadronic OR "breast neoplasm" AND neridronate OR "breast neoplasm" AND neridronic OR "breast neoplasm" AND rank OR "breast neoplasm" AND osteoclast OR "breast neoplasm" AND denosumab OR "breast neoplasm" AND romosozumab OR "breast neoplasm" AND blosozumab
#3
"breast carcinoma" AND bisphosphonates OR "breast carcinoma" AND diphosphonates OR "breast carcinoma" AND zoledronate OR "breast carcinoma" AND "zoledronic acid" OR "breast carcinoma" AND clodronate OR "breast carcinoma" AND "clodronic acid" OR "breast carcinoma" AND "etidronic acid" OR "breast carcinoma" AND etidronate OR "breast carcinoma" AND medronate OR "breast carcinoma" AND medronic OR "breast carcinoma" AND alendronate OR "breast carcinoma" AND aledronic OR "breast carcinoma" AND ibandronate OR "breast carcinoma" AND ibandronic OR "breast carcinoma" AND pamidronate OR "breast carcinoma" AND pamidronic OR "breast carcinoma" AND risedronate OR "breast carcinoma" AND risedronic OR "breast carcinoma" AND tiludronate OR "breast carcinoma" AND tiludronic OR "breast carcinoma" AND incadronate OR "breast carcinoma" AND incadronic OR "breast carcinoma" AND olpadronate OR "breast carcinoma" AND olpadronic OR "breast carcinoma" AND neridronate OR "breast carcinoma" AND neridronic OR "breast carcinoma" AND rank OR "breast carcinoma" AND osteoclast OR "breast carcinoma" AND denosumab OR "breast carcinoma" AND romosozumab OR "breast cancer" AND blosozumab
Appendix 2. Study characteristics per pairwise comparison
Alendronate vs. No treatment/Placebo
| Study | N | Year | Length of follow‐up | Stage of disease | Menopausal status | Endocrine therapy | Type of endocrine therapy | Hormon receptor status | Human epidermal growth factor receptor 2 | Duration of bone‐modifying intervention | Mean Age N1 | Mean Age N2 |
| Cohen 2008 | 11 | 2008 | ‐ | ‐ | only post | ‐ | tamoxifen | ‐ | ‐ | 1 year | ‐ | ‐ |
Clodronate vs. No treatment/Placebo
| Study | N | Year | Length of follow‐up | Stage of disease | Menopausal status | Endocrine therapy | Type of endocrine therapy | Hormon receptor status | Human epidermal growth factor receptor 2 | Duration of bone‐modifying intervention | Mean Age N1 | Mean Age N2 |
| Mardiak 2000 | 73 | 2000 | 84 monthsa | mainly stage III | ‐ | some pts ET | ‐ | ‐ | ‐ | 2‐5 years | 55.0a | 54.0a |
| NSABP‐34 2012 | 3323 | 2012 | 90.8 monthsa | stage I‐III | ‐ | some pts ET | mostly tamoxifen | both | ‐ | 2‐5 years | ‐ | ‐ |
| Powles 2006 | 1069 | 2006 | 5.6 yearsa | mainly stage I‐II | pre and post | some pts ET | tamoxifen | both | ‐ | 2‐5 years | 52.8 | 52.7 |
| Saarto 2004 | 299 | 2004 | 10 years | mainly T1‐T3 | pre and post | some pts ET | tamoxifen and toremifene | both | ‐ | ‐ | 52.0 | 52.0 |
| amedian was reported instead | ||||||||||||
Denosumab vs. No treatment/Placebo
| Study | N | Year | Length of follow‐up | Stage of disease | Menopausal status | Endocrine therapy | Type of endocrine therapy | Hormon receptor status | Human epidermal growth factor receptor 2 | Duration of bone‐modifying intervention | Mean Age N1 | Mean Age N2 |
| ABCSG‐18 2019 | 3425 | 2019 | 66 months | early stage | only post | some pts ET | ‐ | HR+ | both | 2‐5 years | 64.3 | 64.0 |
| D‐CARE 2013 | 4509 | 2013 | 5 years | stage II‐III | pre and post | some pts ET | ‐ | both | both | 2‐5 years | 50.0a | 51.0a |
| Ellis 2008 | 252 | 2008 | 4 years | early stage | pre and post | all pts ET | ‐ | HR+ | ‐ | 2‐5 years | 59.2 | 59.7 |
| GeparX 2016 | 780 | 2016 | ‐ | T1‐T4 | pre and post | ‐ | ‐ | HR+ | both | < 1 year | 49.0a | 48.5a |
| amedian was reported instead | ||||||||||||
Ibandronate vs. No treatment/Placebo
| Study | N | Year | Length of follow‐up | Stage of disease | Menopausal status | Endocrine therapy | Type of endocrine therapy | Hormon receptor status | Human epidermal growth factor receptor 2 | Duration of bone‐modifying intervention | Mean Age N1 | Mean Age N2 |
| ARIBON 2012 | 50 | 2012 | 5 years | early stage | only post | all pts ET | aromatase inhibitor | HR+ | ‐ | 2‐5 years | 67.8 | 67.5 |
| BONADIUV 2019 | 171 | 2019 | 5 years | early stage | only post | all pts ET | aromatase inhibitor | HR+ | both | 2‐5 years | 60.5 | 59.6 |
| GAIN 2013 | 2994 | 2013 | 38.7 monthsa | early stage | pre and post | some pts ET | OFS with aromatase inhibitor | both | both | 2‐5 years | 49.0a | 50.0a |
| TEAM IIB 2006 | 1116 | 2006 | 4.6 yearsa | stage I‐III | only post | all pts ET | tamoxifen followed by aromatase inhibitor | HR+ | ‐ | 2‐5 years | ‐ | ‐ |
| amedian was reported instead | ||||||||||||
Pamironate vs. No treatment/Placebo
| Study | N | Year | Length of follow‐up | Stage of disease | Menopausal status | Endocrine therapy | Type of endocrine therapy | Hormon receptor status | Human epidermal growth factor receptor 2 | Duration of bone‐modifying intervention | Mean Age N1 | Mean Age N2 |
| Kristensen 2008 | 953 | 2008 | 10 years | stage I‐III | pre and post | no pts ET | ‐ | both | ‐ | 2‐5 years | ‐ | ‐ |
Risedronate vs. No treatment/Placebo
| Study | N | Year | Length of follow‐up | Stage of disease | Menopausal status | Endocrine therapy | Type of endocrine therapy | Hormon receptor status | Human epidermal growth factor receptor 2 | Duration of bone‐modifying intervention | Mean Age N1 | Mean Age N2 |
| Monda 2017 | 84 | 2017 | 2 years | ‐ | only post | all pts ET | aromatase inhibitor | HR+ | ‐ | 2‐5 years | 55.7 | 56.1 |
| REBBeCA 2008 | 87 | 2008 | 2 years | mainly stage I‐II | only post | some pts ET | ‐ | ‐ | ‐ | 2‐5 years | 50.1 | 49.0 |
| SABRE 2010 | 154 | 2010 | 2 years | ‐ | only post | all pts ET | aromatase inhibitor | HR+ | ‐ | 2‐5 years | 63.8 | 64.8 |
Zoledronic acid vs. No treatment/Placebo
| Study | N | Year | Length of follow‐up | Stage of disease | Menopausal status | Endocrine therapy | Type of endocrine therapy | Hormon receptor status | Human epidermal growth factor receptor 2 | Duration of bone‐modifying intervention | Mean Age N1 | Mean Age N2 |
| ABCSG‐12 2011 | 1803 | 2011 | 62 monthsa | early stage | only pre | all pts ET | OFS with tamoxifen | both | ‐ | 2‐5 years | ‐ | ‐ |
| Aft 2012 | 120 | 2012 | 61.9 | stage II‐III | pre and post | some pts ET | ‐ | both | both | 1 year | 49.0a | 47.0a |
| AZURE 2018 | 3360 | 2018 | 10 years | stage II‐III | pre and post | some pts ET | ‐ | both | both | 2‐5 years | 47.0a | 48.0a |
| EXPAND 2011 | 81 | 2011 | 3 years | ‐ | only post | all pts ET | aromatase inhibitor | HR+ | ‐ | 2‐5 years | 58.4 | 61.3 |
| FEMZONE 2014 | 168 | 2014 | 5 years | T1‐T4 | only post | all pts ET | aromatase inhibitor | both | ‐ | < 1 year | 71.1 | 70.6 |
| Hershman 2008 | 114 | 2008 | 1 year | mainly stage I‐II | only pre | ‐ | ‐ | ‐ | ‐ | 1 year | 43.0 | 42.0 |
| HOBOE 2019 | 1065 | 2019 | 64 monthsa | early stage | only pre | ‐ | ‐ | ‐ | ‐ | ‐ | 45.2a | 44.9a |
| JONIE 2017 | 180 | 2017 | 3 years | stage IIA‐IIB | pre and post | some pts ET | ‐ | both | HER2‐ | 2‐5 years | 49.5 | 49.0 |
| NATAN 2016 | 693 | 2016 | 54.7 monthsa | early stage | pre and post | some pts ET | ‐ | both | both | 2‐5 years | ‐ | ‐ |
| NEOZOL 2018 | 53 | 2018 | 5.7 monthsa | stage II‐III | pre and post | ‐ | ‐ | both | HER2‐ | < 1 year | 51.2 | 50.5 |
| NEO‐ZOTAC BOOG 2010 | 250 | 2010 | 60 months | stage II‐III | pre and post | no pts ET | ‐ | both | HER2‐ | < 1 year | 49.5 | 48.9 |
| Novartis I 2006 | 83 | 2006 | 3 years | ‐ | only post | all pts ET | ‐ | HR+ | ‐ | 2‐5 years | 58.4 | 61.3 |
| ProBONE II 2016 | 70 | 2016 | 60 months | stage I‐III | only pre | some pts ET | ‐ | HR+ | ‐ | 2‐5 years | 43.2 | 42.8 |
| Safra 2011 | 90 | 2011 | 5 years | stage I‐III | only post | all pts ET | ‐ | HR+ | ‐ | 2‐5 years | 59.0 | 61.1 |
| Solomayer 2012 | 96 | 2012 | 88 monthsa | mainly stage I‐II | pre and post | some pts ET | ‐ | both | both | 2‐5 years | 54.0a | 54.0a |
| Sun 2016 | 120 | 2016 | 1 year | stage I‐IIIA | only post | all pts ET | aromatase inhibitor | HR+ | ‐ | 1 year | 58.0a | 56.0a |
| amedian was reported instead | ||||||||||||
Zoledronic acid vs. Clodronate vs. Ibandronate
| Study | N | Year | Length of follow‐up | Stage of disease | Menopausal status | Endocrine therapy | Type of endocrine therapy | Hormon receptor status | Human epidermal growth factor receptor 2 | Duration of bone‐modifying intervention | Mean Age N1 | Mean Age N2 | Mean Age N3 |
| SWOG S0307 2019 | 6097 | 2019 | 10 years | stage I‐III | ‐ | some pts ET | ‐ | ‐ | ‐ | 2‐5 years | 53a | 52.6a | 52.7a |
| amedian was reported instead | |||||||||||||
Characteristics of studies
Characteristics of included studies [ordered by study ID]
ABCSG‐12 2011.
| Study characteristics | ||
| Methods | Setting: phase III, open‐label, multicentre, randomised Recruitment period: June 1999‐May 2006 Length of study: 3 years Length of follow‐up: median 62 months |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease:
TNM staging system:
Mean age:
Menopausal status: 100% premenopausal RANKL status: NR Hormone receptor status: 93% (intervention 1) vs. 94% (intervention 2) HR+ Human epidermal growth factor receptor 2 status: NR Participants randomised:
Country of participants: NR |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period: SERM (tamoxifen), aromatase inhibitor (anastrozole), ovarian function suppression (goselerin, monthly), preoperative chemotherapy was allowed but no patients received adjuvant chemotherapy, postoperative radiotherapy was administered according to guidelines from local institutions) |
|
| Outcomes |
|
|
| Notes | Funding sources: AstraZeneca, Novartis Conflicts of interest: MG has received research support from and has served as a consultant for AstraZeneca, Novartis, and Pfizer, and has received lecture fees and honoraria for participation on advisory boards from AstraZeneca, Novartis, Sanofi‐Aventis, Roche, Schering, Amgen, and Pfizer. GL‐E has received lecture fees from AstraZeneca and Novartis. RJ has served as a consultant for and received honoraria for participation on advisory boards from AstraZeneca, Roche, and Sanofi‐Aventis, and has received lecture fees from AstraZeneca, Roche, and Sanofi‐Aventis. MS has received lecture fees from AstraZeneca and Novartis. GP has received travel grants and lecture fees from AstraZeneca, Novartis, Roche, and GlaxoSmithKline. HE has received honoraria for participation on advisory boards and lecture fees from AstraZeneca and Novartis. WE has received consultancy fees and travel support from Novartis and AstraZeneca and lecture fees from Novartis, Sanofi‐Aventis, and Roche. GS has received lecture fees from AstraZeneca, Novartis, Roche, and Amgen. PD has received consultancy fees from Novartis and Genomic Health, lecture fees and payment for development of educational presentations from Novartis and Pfizer, and travel expenses from AstraZeneca, Novartis, Roche, and Pfizer. GH has received travel expenses from Novartis. RG has served as a consultant for and received honoraria for participation on advisory boards from Novartis and AstraZeneca. All other authors declare that they have no conflicts of interest. |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Low risk | "Computer‐generated adaptive randomisation method" |
| Allocation concealment (selection bias) | Low risk | "Assign treatment groups via an automated telephone service" |
| Blinding of participants (performance bias) | High risk | Open‐label |
| Blinding of personnel (performance bias) | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) subjective outcomes | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective bias |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | Intention‐to‐treat analysis (ITT) and no missing outcome data |
| Selective reporting (reporting bias) | Low risk | All predefined outcomes reported |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
ABCSG‐18 2019.
| Study characteristics | ||
| Methods | Setting: multicentre, phase III, prospective, randomised, double‐blind, placebo‐controlled, parallel assignment Recruitment period: 12/2006 to 07/2013 Length of study: 5 years (planned) Length of follow‐up: 66 months (planned) |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease: NR TNM staging system: 27% (denosumab) vs. 29.6% (placebo) node positive Mean age:
Menopausal status:100% postmenopausal RANKL status: NR Hormone receptor status:
Human epidermal growth factor receptor 2 status: 6% (denosumab) vs. 6.6% (placebo), HER2 positive Participants randomised:
Country of participants: Austria, Sweden |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period: endocrine therapy as indicated, nonsteroidal aromatase inhibitors (anastrozole, letrozole) started with or before treatment, adjuvant and neoadjuvant chemotherapy, radiotherapy possible before randomisation |
|
| Outcomes |
|
|
| Notes | Funding sources: Amgen was the legal sponsor of the study and had a role in protocol and study design, and reviewed the manuscript, but was not involved in data collection, data interpretation, or writing of the manuscript. CF and SF had access to the raw data. The corresponding author had full access to all of the data and the final responsibility to submit for publication. Conflicts of interest: MG reports personal fees and non‐financial support from Amgen, Celgene, and Eli Lilly; grants, personal fees, and non‐financial support from AstraZeneca and Novartis; personal fees from NanoString Technology; grants and personal fees from Roche; other support from Accelsoir; grants and non‐financial support from Pfizer; and non‐financial support from Ipsen, all outside of the submitted work. GP reports personal fees from Novartis, Amgen, Pfizer, AstraZeneca, Accord, Bondimed, Roche, and Eli Lilly outside of the submitted work. GGS reports personal fees from Amgen, Celgene, Eli Lilly, AstraZeneca, Pfizer, and Novartis, and grants and personal fees from Roche outside of the submitted work. DE reports personal fees and non‐financial support from Roche, Pfizer, and Novartis, and non‐financial support from Amgen outside of the submitted work. RG reports grants, personal fees, and non‐financial support from Amgen outside of the submitted work. FF reports other support from Springer, and grants and non‐financial support from Comesa, Bondimed, Novartis, Roche, AstraZeneca, and Pfizer outside of the submitted work. MB reports grants and personal fees from Amgen; grants, personal fees, and non‐financial support from Celgene; personal fees and non‐financial support from Roche and Pfizer; and personal fees from Novartis and Pierre Fabre outside of the submitted work. FH reports personal fees and non‐financial support from Roche and Celgene; and personal fees from Eli Lilly, Pfizer, Novartis, and Amgen outside of the submitted work. VB‐R reports personal fees from Eli Lilly and grants from Roche outside of the submitted work. PS reports grants and personal fees from Amgen, and personal fees from Roche and Pfizer outside of the submitted work. BM reports personal fees from Roche and Celgene outside of the submitted work. CF and SF report receiving research funding from Amgen during the conduct of the study, awarded to their institution. CFS reports grants, personal fees, and non‐financial support from Amgen and AstraZeneca; grants and personal fees from Novartis and Roche; and other support from Tesaro and Pfizer outside of the submitted work. VW, EM‐Z, RJ, CM, and RE declare no competing interests. |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Low risk | Randomly permuted block design with block sizes 2 and 4 |
| Allocation concealment (selection bias) | Low risk | Assigned by an interactive voice response system |
| Blinding of participants (performance bias) | Low risk | Double‐blind |
| Blinding of personnel (performance bias) | Low risk | Double‐blind |
| Blinding of outcome assessment (detection bias) subjective outcomes | Low risk | Double‐blind |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | Low number lost to follow‐up; intention‐to‐treat analysis |
| Selective reporting (reporting bias) | Low risk | All prespecified endpoints were addressed. |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
Aft 2012.
| Study characteristics | ||
| Methods | Setting: single‐centre, phase II Recruitment period: March 2003 to May 2006 Length of study: 1 year Length of follow‐up: 61.9 months |
|
| Participants | Eligibility criteria: • stage II‐III (> T2 and/or N1) newly diagnosed BC; • ECOG 0‐1, with no evidence of distant metastases; • normal cardiac, renal and liver function. Exclusion criteria: • evidence of distant metastasis by CT scan of the chest, abdomen, pelvis or bone scan; • prior malignancies, serious functional disorders of the heart, liver, or kidneys; • pregnancy, women below 18 years of age. Stage of disease: stage II‐III (≥ T2 and/or ≥ N1) ductal carcinoma (47% intervention 1, 49% intervention 2) lobular carcinoma (7% intervention 1, 7% intervention 2) mean tumour size: 3.81 cm (intervention 1), 3.56 cm (intervention 2) TNM staging system: ≥ T2 and/or ≥ N1 Mean age:
Menopausal status:
RANKL status: NR Hormone receptor status: • ER+: 53.3% intervention 1, 59.3% intervention 2 • PR*: 40% intervention 1, 52.5% intervention 2 Human epidermal growth factor receptor 2 status: 21.6% intervention 1, 16.9% intervention 2 Participants randomised:
Country of participants: USA |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period:
|
|
| Outcomes |
|
|
| Notes | Funding sources: Novartis Pharmaceuticals and Pfizer Inc. Conflicts of interest: •RA and KW: Novartis •MN: Novartis, Sanofi‐Aventis, Pfizer •ME: Novartis •KD: Novartis •WS: received funds for portions of the statistical analysis •All other authors declared no conflicts of interest. |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Low risk | Block randomisation by formal probability model and implemented with SAS process plan generated by statistician |
| Allocation concealment (selection bias) | Low risk | Allocation placed in sequentially numbered, opaque envelopes in locked cabinet, only accessible to study's patient co‐ordinator after enrolment |
| Blinding of participants (performance bias) | High risk | Open‐label |
| Blinding of personnel (performance bias) | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) subjective outcomes | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | Low number of withdrawals for the primary outcome. A negative outcome was assigned to participants with missing data points. For all other outcomes of interest in this review, there were no significant differences in attrition between the groups and reasons for any withdrawal were provided. |
| Selective reporting (reporting bias) | Low risk | All predefined outcomes were reported. |
| Other bias | Unclear risk | DTCs is a difficult endpoint, which may or may not correlate directly with clinically evident bone metastases. |
ANZAC 2009.
| Study characteristics | ||
| Methods | Setting: phase II Recruitment period: July 2007 and July 2009 Length of study: 18 weeks (during chemotherapy before surgery, surgery marked end of study) Length of follow‐up: standard follow‐up |
|
| Participants | Eligibility criteria: • female with a histologic diagnosis of invasive breast cancer; • scheduled to receive neoadjuvant anthracycline‐based chemotherapy • 18 years or older; • WHO performance status of 0 to 2; • T2 to T4 tumour with no evidence of metastatic disease; • prepared to undergo additional tumour biopsies for research. Exclusion criteria: • concurrent treatment with tamoxifen or an aromatase inhibitor • need for oral anticoagulants; • exposure to bisphosphonates in the last year; • active dental problems including dental abscess or osteonecrosis of the jaw; • insufficient renal function (creatinine clearance < 40 mL/min). Stage of disease:
TNM staging system: NR Mean age:
Menopausal status:
RANKL status: NR Hormone receptor status:
Human epidermal growth factor receptor 2 status:
Participants randomised:
Country of participants: NR |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period: neoadjuvant chemotherapy with 5‐fluouracil 500 mg/m², epirubicin 100 mg/m², cyclophosphamide 500 mg/m² (FEC) every 3 weeks, followed by 3 cycles of docetaxel 100 mg/m² |
|
| Outcomes | • change in apoptotic index; • evaluation of changes in Ki67 proliferation from baseline to subsequent time points; • changes in growth index reflecting a combined contribution of proliferation and apoptosis to changes in growth. | |
| Notes | Funding sources: "The authors thank Janet Horsman, Cancer Clinical Trials Centre, University of Sheffield; Yvonne Stephenson and team, Medical School, University of Sheffield; Simone Detre, Institute of Cancer Research, Royal Marsden, London; Rosie Taylor, School of Health and Related Research, University of Sheffield; and Weston Park Hospital Cancer Charity and Experimental Cancer Medicine Centre Network for part funding of this research." Conflicts of interest: NR |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Unclear risk | "patients were randomised in a 1:1 ratio". |
| Allocation concealment (selection bias) | Unclear risk | No further information given |
| Blinding of participants (performance bias) | Unclear risk | No further information given |
| Blinding of personnel (performance bias) | Unclear risk | No further information given |
| Blinding of outcome assessment (detection bias) subjective outcomes | Unclear risk | No further information given |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | "all sections were counted blinded to treatment allocation and time point" "Areas of invasive carcinoma on the digital image of the section were selected at random by a special pathologist blinded to treatment allocation and timing of sample" |
| Incomplete outcome data (attrition bias) All outcomes | Unclear risk | Not enough information given |
| Selective reporting (reporting bias) | Unclear risk | Study protocol not accessible |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
ARBI 2009.
| Study characteristics | ||
| Methods | Setting: multicentre, phase III Recruitment period: February 2005 and February 2007 Length of study: 2 years Length of follow‐up: 2 years |
|
| Participants | Eligibility criteria: • postmenopausal; • histologically confirmed hormone‐receptor positive breast cancer; • completed primary surgery and chemotherapy; • scheduled to receive anastrozole. Exclusion criteria: • menopause induced by prior chemotherapy or any other drug therapy; • evidence of metastatic bone disease from bone scans; • previous hip fractures or protheses; • known bone metabolism disorder; • non‐treated hypocalcemia; • previous treatment with selective oestrogen receptor modulators (SERMs); • hormone replacement therapy (HRT); • previous treatment with BPs; • liver or renal dysfunction. Stage of disease: early breast cancer TNM staging system: NR Mean age:
Menopausal status: 100 % postmenopausal RANKL status: NR Hormone receptor status: ER+
PR+
Human epidermal growth factor receptor 2 status: NR Participants randomised:
Country of participants: Greece |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period: anastrozole |
|
| Outcomes | • the effect of risedronate in patients with mild osteopenia receiving anastrozole therapy, measured in lumbar spine and hip at 12 and 24 months; • BMD in patients with normal BMD before starting treatment; • the effect of risedronate on patients receiving anastrozole therapy who have BMD in the region of severe osteopenia or osteoporosis; • adverse event; • ONJ; • (fragility) fractures. | |
| Notes | Funding sources: "CM has received educational grants and lecture honoraria from AstraZeneca, Novartis (Basel, Switzerland), and Pfizer Inc (New York, NY, USA). ET, AP, BV, GX, JP, VZ, JM, KK, DK, ZA, and HG have received unrestricted educational grants from AstraZeneca, Novartis, and Pfizer Inc. The other authors declare that they have no competing interests." Conflicts of interest: NR |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Unclear risk | "randomly assigned" |
| Allocation concealment (selection bias) | Unclear risk | No further information given |
| Blinding of participants (performance bias) | High risk | "open‐label clinical trial" |
| Blinding of personnel (performance bias) | High risk | "open‐label clinical trial" |
| Blinding of outcome assessment (detection bias) subjective outcomes | High risk | "open‐label clinical trial" |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | High risk | Data from 23 of 70 patients were not analysed; no reason given for 12 of these 23 people, no ITT analysis |
| Selective reporting (reporting bias) | Unclear risk | Study protocol accessible but no outcomes listed |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
ARIBON 2012.
| Study characteristics | ||
| Methods | Setting: multicentre, double‐blind Recruitment period: December 2003‐October 2005 Length of study: 2 years Length of follow‐up: 5 years |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease: early stage TNM staging system: NR Mean age:
Menopausal status: 100% postmenopausal RANKL status: NR Hormone receptor status: 100% ER+ Human epidermal growth factor receptor 2 status: NR Participants randomised:
Country of participants: UK |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period: aromatase inhibitor (anastrozole, 1 mg/day) |
|
| Outcomes |
|
|
| Notes | Funding sources: The study was sponsored by the University of Sheffield, and funded through unrestricted academic grants from AstraZeneca and Roche, who also supplied the trial medications of anastrozole and ibandronate, respectively. Both companies were kept informed of the progress of the study but had no involvement in the analysis or interpretation of the results presented. Conflicts of interest: NR |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Unclear risk | "were randomized" |
| Allocation concealment (selection bias) | Unclear risk | No information given |
| Blinding of participants (performance bias) | Low risk | Double‐blind |
| Blinding of personnel (performance bias) | Low risk | Double‐blind |
| Blinding of outcome assessment (detection bias) subjective outcomes | Low risk | Double‐blind |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes, unlikely to be vulnerable to bias |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | Number of patients that withdrew from each arm was almost equal (4 from arm 1 and 6 from arm 2) |
| Selective reporting (reporting bias) | Unclear risk | Study protocol was not accessible. |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
AZURE 2018.
| Study characteristics | ||
| Methods | Setting: multicentre, phase III Recruitment period: September 2003 to February 2006 Length of study: 5 years Length of follow‐up: 10 years |
|
| Participants | Eligibility criteria: • at least 18 years of age; • Karnofsky performance status of at least 80; • histologically confirmed breast cancer with axillary lymph‐node metastasis (N1) or a T3‐T4 primary tumour; • complete primary tumour resection was mandated or intended after neoadjuvant therapy; • patients who were eligible for completion surgery (margin excision, mastectomy, or axillary lymph‐node dissection) after completion of adjuvant chemotherapy could be included; • serum creatinine level less than 1.5 times the upper limit of the normal range. Exclusion criteria: • clinical or imaging evidence of distant metastases; • if complete treatment of the primary breast tumour and regional lymph nodes was not possible; • cancer diagnosis within the preceding 5 years; • use of bisphosphonates during the previous year; • diagnosis of osteoporosis or other bone disease likely to require bone‐targeted treatment; • patients with clinically significant, active dental problems or planned jaw surgery. Stage of disease: axillary lymph nodes:
TNM staging system: • T1: 32.1% (intervention 1), 31.2% (intervention 2) • T2: 50.6% (intervention 1), 51.7% (intervention 2) • T3: 13.5% (intervention 1), 13.6% (intervention 2) • T4: 3.5% (intervention 1), 3.5% (intervention 2) Lymph nodes: • 1‐3 involved: 59.1% intervention 1 vs. 61.5% intervention 2 • ≥ 4 involved: 38.2% intervention 1 vs. 36.8% intervention 2 Mean age:
Menopausal status:
RANKL status: NR Hormone receptor status: Human epidermal growth factor receptor 2 status: Participants:
Country of participants: NR |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period: chemotherapy alone: 21.5% (intervention 1), 21.5% (intervention 2) endocrine therapy plus chemotherapy: 73.9% (intervention 1), 74.1% (intervention 2) type of chemotherapy:
|
|
| Outcomes | • disease‐free survival as assessed annually for 10 years; • time to bone metastases as first recurrence assessed annually for 10 years; • time to bone metastases per se as assessed annually for 10 years; • time to distant metastases as assessed annually for 10 years; • overall survival as assessed by final analysis at 10 years; • skeletal‐related events prior to development of bone metastases as assessed annually for 10 years; • skeletal‐related events following development of bone metastases as assessed annually for 10 years; • safety and toxicity of zoledronic acid as assessed annually for 10 years; • evaluation of the influence of prognostic factors (e.g. oestrogen receptor or progesterone receptor [ER/PR] status, TNM stage, tumour grade, HER2/neu, and menopausal status) on treatment outcome; • analysis of tumour‐specific mutations, proteomics and gene expression changes in tumour cells. | |
| Notes | Funding sources: Novartis Pharmaceuticals and the National Cancer Research Network Conflicts of interest: RE Coleman: Novartis, Amgen, Roche, Pfizer D Cameron: Novartis, Roche D Dodwell: Roche, AstraZeneca, Novartis R Burkinshaw: Novartis Pharmaceuticals |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Low risk | "randomly assigned (1:1) by a central automated 24‐h computer‐generated telephone minimisation system" |
| Allocation concealment (selection bias) | Low risk | "randomly assigned (1:1) by a central automated 24‐h computer‐generated telephone minimisation system" |
| Blinding of participants (performance bias) | High risk | Open‐label |
| Blinding of personnel (performance bias) | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) subjective outcomes | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | ITT analysis |
| Selective reporting (reporting bias) | Low risk | All endpoints were reported. |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
BONADIUV 2019.
| Study characteristics | ||
| Methods | Setting: single‐centre, phase II, single‐blind Recruitment period: 2011‐2014 Length of study: 2 years Length of follow‐up: 5 years |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease: NR TNM staging system:
Mean age:
Menopausal status: 100% postmenopausal RANKL status: NR Hormone receptor status: 100% HR+ Human epidermal growth factor receptor 2 status: 20.2% (intervention 1) vs. 14.6% (intervention 2) Participants:
Country of participants: Italy |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period: aromatase inhibitor (70.8% letrozole, 20.5% anastrozole, 8.7% exemestane) |
|
| Outcomes |
|
|
| Notes | Funding sources: This research did not receive any specific grant from funding agencies in the public, commercial, or not‐for‐profit sectors. Conflicts of interest: NR |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Low risk | "Allocation of the patients in the trial arms was conducted by a stratified randomisation, using computer‐generated randomised permuted blocks within defined post‐menopausal and BMI strata." |
| Allocation concealment (selection bias) | Low risk | "Allocation of the patients in the trial arms was conducted by a stratified randomisation, using computer‐generated randomised permuted blocks within defined post‐menopausal and BMI strata." |
| Blinding of participants (performance bias) | Low risk | Single‐blind |
| Blinding of personnel (performance bias) | Low risk | Single‐blind |
| Blinding of outcome assessment (detection bias) subjective outcomes | Low risk | Single‐blind |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes, unlikely to be vulnerable to bias |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | A total of 27 patients didn't complete the study (17 in arm 1 and 10 in arm 2); intention‐to‐treat (ITT) analysis |
| Selective reporting (reporting bias) | Low risk | Protocol was available and all prespecified outcomes were reported. |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
Bundred 2009.
| Study characteristics | ||
| Methods | Setting: phase IV Recruitment period: NR Length of study: 14 days Length of follow‐up: NR |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease: NR TNM staging system: NR Mean age: overall 50‐75
Menopausal status: 100% postmenopausal RANKL status: NR Hormone receptor status: 100% ER+ Human epidermal growth factor receptor 2 status: NR Participants:
Country of participants: NR |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period: endocrine therapy, aromatase inhibitor (letrozole) |
|
| Outcomes | NR | |
| Notes | Funding sources: NR Conflicts of interest: NR |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Unclear risk | "were randomised" |
| Allocation concealment (selection bias) | Unclear risk | No information given |
| Blinding of participants (performance bias) | Unclear risk | Only abstract |
| Blinding of personnel (performance bias) | Unclear risk | Only abstract |
| Blinding of outcome assessment (detection bias) subjective outcomes | Unclear risk | Only abstract |
| Blinding of outcome assessment (detection bias) objective outcomes | Unclear risk | Only abstract |
| Incomplete outcome data (attrition bias) All outcomes | Unclear risk | Only abstract |
| Selective reporting (reporting bias) | Unclear risk | Only abstract |
| Other bias | Unclear risk | Only abstract |
Cohen 2008.
| Study characteristics | ||
| Methods | Setting: multicentre, randomised, double‐blind, placebo‐controlled Recruitment period: NR Length of study: 1 year Length of follow‐up: NR |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease: NR TNM staging system: NR Mean age: overall 58 ± 2
Menopausal status: 100% postmenopausal RANKL status: NR Hormone receptor status: NR Human epidermal growth factor receptor 2 status: NR Participants randomised: 11 Country of participants: NR |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: study started within 3 months of tamoxifen discontinuation Cancer treatment during study period: NR |
|
| Outcomes |
|
|
| Notes | Funding sources: This study was funded by a grant from the Avon Foundation and by grant K24 DK074457 from the National Institutes of Health. Conflicts of interest: NR |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Unclear risk | "randomized" |
| Allocation concealment (selection bias) | Unclear risk | No information given |
| Blinding of participants (performance bias) | Low risk | Double‐blind |
| Blinding of personnel (performance bias) | Low risk | Double‐blind |
| Blinding of outcome assessment (detection bias) subjective outcomes | Low risk | Double‐blind |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | "no patient withdrew from the study". |
| Selective reporting (reporting bias) | Unclear risk | Study protocol not accessible |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
D‐CARE 2013.
| Study characteristics | ||
| Methods | Setting: multicentre, double‐blind, randomised, placebo‐controlled, phase III Recruitment period: June 2010‐August 2012 Length of study: 5 years Length of follow‐up: 5 years |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease: stage II or III TNM staging system:
Mean age:
Menopausal status:
RANKL status: NR Hormone receptor status: 1744 (77%, intervention 1) vs 1748 (78%, intervention 2) ER+ and/or PR+ Human epidermal growth factor receptor 2 status: 454 (intervention 1) vs. 451 (intervention 2) Participants randomised:
Country of participants: 39 different countries |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period:
|
|
| Outcomes |
|
|
| Notes | Funding sources: Amgen Conflicts of interest: "RC has received steering committee fees and travel support from Amgen; has received funding for IME lectures from Eisai, Amgen, and Genomic Health; has received consulting fees from Astellas and Scancell; and has a patent for biomarker testing pending (Inbiomotion). CB has received clinical trial grants from Amgen; has received research grants from AbbVie, Astellas Pharma, AstraZeneca, Bristol‐Myers Squibb, Celgene, Covance, Lilly, Medivation, Merck Serono, Merck Sharp and Dohme, Novartis, Pfizer, PharmaMar, and Roche/Genentech; and has received honoraria for presentations and consulting from AstraZeneca, Bristol‐Myers Squibb, Lilly, Merck Sharp and Dohme, Novartis, Pfizer, and Roche/Genentech. MM has received grants from Roche and Novartis; and has received personal fees from Roche, Novartis, AstraZeneca, Amgen, Taiho, PharaMar, Lilly, Puma, and Pfizer. HI has received honoraria and consulting fees from Daiichi‐Sankyo, F Hoffmann‐La Roche via Chugai, Novartis, AstraZeneca, Pfizer, and Lilly, and was an uncompensated member of the steering committee for this D‐CARE study. ID reports an institutional educational grant from Amgen. JC has received institutional research funding from Roche, Eisai, Puma Biotechnologies, and Boerhinger Ingelheim; has served on advisory boards for Amgen, Eisai, Pfizer, Vertex Pharmaceuticals, Puma Biotechnologies, Pierre Fabre, Seattle Genetics, Boehringer Ingelheim, Genomic Health, and AstraZeneca; has served as a meeting chair for Roche Products Ireland and MSD Ireland; has received conference travel and accommodation funding from Bayer, Pfizer, Roche, Merck Sharpe and Dohme, AstraZeneca, and AbbVie, and is an employee of and stockholder in Oncomark Ltd. SD has received institutional grants from Amgen. TD, DJ, and YZ are employees of Amgen; and DJ is a stockholder in Amgen. DMF, RH, JG, JS, AC, AMP, and KT declare no competing interests." |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Low risk | "On confirmation of eligibility by local investigator, investigators at each site telephoned an interactive voice response system to centrally randomise patients (1:1) based on a fixed stratified permuted block randomisation list (block size 4) [...] The randomisation list was generated and maintained by an Amgen‐based independent internal randomisation group not involved in the implementation of the study using a fully validated randomisation system." |
| Allocation concealment (selection bias) | Low risk | "On confirmation of eligibility by local investigator, investigators at each site telephoned an interactive voice response system to centrally randomise patients (1:1) based on a fixed stratified permuted block randomisation list (block size 4) [...] The randomisation list was generated and maintained by an Amgen‐based independent internal randomisation group not involved in the implementation of the study using a fully validated randomisation system." |
| Blinding of participants (performance bias) | Low risk | Double‐blind |
| Blinding of personnel (performance bias) | Low risk | Double‐blind |
| Blinding of outcome assessment (detection bias) subjective outcomes | Low risk | Double‐blind |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | ITT analysis |
| Selective reporting (reporting bias) | Low risk | All prespecified outcomes were reported. |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
Delmas 1997.
| Study characteristics | ||
| Methods | Setting: single‐centre, double‐blind, placebo‐controlled, randomised, oral‐dose, phase II Recruitment period: NR Length of study: 2 years Length of follow‐up: 3 years |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease: NR TNM staging system: NR Mean age:
Menopausal status: 100% postmenopausal RANKL status: NR Hormone receptor status: NR Human epidermal growth factor receptor 2 status: NR Participants randomised: 53 Country of participants: NR |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period: 36 of 53 patients received tamoxifen; chemotherapy |
|
| Outcomes |
|
|
| Notes | Funding sources: NR Conflicts of interest: NR |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Unclear risk | "randomly assigned" |
| Allocation concealment (selection bias) | Unclear risk | No information |
| Blinding of participants (performance bias) | Low risk | Double‐blind |
| Blinding of personnel (performance bias) | Low risk | Double‐blind |
| Blinding of outcome assessment (detection bias) subjective outcomes | Low risk | Double‐blind |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | "The group of primary interest was the intent‐to‐treat (ITT) population, which includes all available data from patients randomized onto the study." |
| Selective reporting (reporting bias) | Unclear risk | Study protocol not accessible |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
Diel 1998.
| Study characteristics | ||
| Methods | Setting: single‐centre Recruitment period: 1990‐1995 Length of study: 2 years Length of follow‐up: median follow‐up of 8.5 years |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease:
TNM staging system:
Mean age:
Menopausal status:
RANKL status: NR Hormone receptor status:
Human epidermal growth factor receptor 2 status: NR Participants randomised:
Country of participants: Germany |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period:
|
|
| Outcomes | • incidence and the number of new bone and visceral metastases, as well as the length of time to their appearance and OS; • DFS. | |
| Notes | Funding sources: Boehringer Mannheim (Roche Pharma) Conflicts of interest: NR |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Unclear risk | "randomly assigned" |
| Allocation concealment (selection bias) | Unclear risk | No information |
| Blinding of participants (performance bias) | High risk | Open‐label |
| Blinding of personnel (performance bias) | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) subjective outcomes | High risk | High ‐ open‐label |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | ITT analysis |
| Selective reporting (reporting bias) | Low risk | All endpoints were reported. |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
Ellis 2008.
| Study characteristics | ||
| Methods | Setting: multicentre, phase III Recruitment period: NR Length of study: 2 years Length of follow‐up: 4 years |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease: early stage breast‐cancer TNM staging system: NR Mean age:
Menopausal status:
RANKL status: NR Hormone receptor status: 100% of the women were ER+ Human epidermal growth factor receptor 2 status: NR Participants randomised:
Country of participants: Canada, USA |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: 3 patients in arm 1 and 7 patients in arm 2 have previously received oral bisphosphonates. Cancer treatment during study period: 53 patients in arm 1 and 58 patients in arm 2 received prior tamoxifen therapy. |
|
| Outcomes |
|
|
| Notes | Funding sources: Georgiana K. Ellis, Amgen; Henry G. Bone, Amgen; Rowan Chlebowski, Lilly, Amgen Conflicts of interest: NR |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Low risk | "interactive voice response system was used to randomly assign patients 1:1[…]" |
| Allocation concealment (selection bias) | Low risk | "interactive voice response system was used to randomly assign patients 1:1[…]" |
| Blinding of participants (performance bias) | Low risk | "Masking: Triple (Participant, Care Provider, Investigator)" |
| Blinding of personnel (performance bias) | Low risk | "Masking: Triple (Participant, Care Provider, Investigator)" |
| Blinding of outcome assessment (detection bias) subjective outcomes | Low risk | "Masking: Triple (Participant, Care Provider, Investigator)" |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | Number of patients that withdrew from the study was pretty similar and without big differences in the reasons why they withdrew from the study. |
| Selective reporting (reporting bias) | Unclear risk | Study protocol was available but no outcomes were prespecified. |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
EXPAND 2011.
| Study characteristics | ||
| Methods | Setting: multicentre, phase III Recruitment period: NR Length of study: 3 years Length of follow‐up: 3 years |
|
| Participants | Eligibility criteria: • compliant postmenopausal women with primary operable breast cancer after 4 to 6 years of therapy with tamoxifen (end of tamoxifen therapy within last 6 months); • performance status 0‐2 (Eastern Cooperative Oncology Group); • patients without severe osteoporosis at study entry; • no evidence of relapse at the time of randomisation; • adequate function of bone marrow, kidney, and liver; • 18 years or older. Exclusion criteria: • oestrogen‐ and progesterone‐receptor status negative or unknown; • completion of adjuvant tamoxifen therapy more than 6 months prior to study start; • inflammatory breast cancer; • current/active dental problems including infection of the teeth or jawbone, dental or fixture trauma, or a current or prior diagnosis of osteonecrosis of the jaw, of exposed bone in the mouth, or of slow healing after dental procedures; • recent (within 6 months) or planned dental or jaw surgery; • history of diseases with an influence on bone metabolism such as Paget's disease and primary overactive parathyroid; • prior or concomitant therapies: chemotherapy within the last 12 months, intravenous or oral bisphosphonates, systemic corticosteroids, anabolic steroids or growth hormones, tibolone, parathyroid hormone, systemic sodium fluoride or any drugs known to affect the skeleton (such as calcitonin, mithramycin, or gallium nitrate); • patients with previous or concomitant cancers (not breast cancer) within the past 5 years EXCEPT adequately treated basal or squamous cell skin cancers or in situ cancer of the cervix. Patients with other previous cancer(s) must have been disease‐free for at least 5 years; • patients currently receiving oral bisphosphonates must discontinue these at least 3 weeks prior to study start. Stage of disease: NR TNM staging system: NR Mean age:
Menopausal status: 100% postmenopausal RANKL status: NR Hormone receptor status: 100 % HR+ (no information about whether PR or ER) Human epidermal growth factor receptor 2 status: NR Participants randomised:
Country of participants: Germany |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period:
|
|
| Outcomes |
|
|
| Notes | Funding sources: Novartis Conflicts of interest: "There IS an agreement between Principal Investigators and the Sponsor (or its agents) that restricts the PI's rights to discuss or publish trial results after the trial is completed." |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Unclear risk | "Allocation: Randomized" |
| Allocation concealment (selection bias) | Unclear risk | No further information |
| Blinding of participants (performance bias) | High risk | "open‐label" |
| Blinding of personnel (performance bias) | High risk | "open‐label" |
| Blinding of outcome assessment (detection bias) subjective outcomes | High risk | "open‐label" |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | Number of participants that withdrew from the study was pretty similar in both arms; ITT analysis was performed. |
| Selective reporting (reporting bias) | High risk | No participants were analysed for DFS although it was a prespecified outcome. |
| Other bias | High risk | "There IS an agreement between Principal Investigators and the Sponsor (or its agents) that restricts the PI's rights to discuss or publish trial results after the trial is completed." |
FEMZONE 2014.
| Study characteristics | ||
| Methods | Setting: multicentre, phase II Recruitment period: May 2010 to June 2010 Length of study: 6.5 months Length of follow‐up: 5 years |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease: clinical stage T1c (size ≥ 1.5 cm), T2, T3, T4a, b, c TNM staging system:
Mean age:
Menopausal status: 100% postmenopausal RANKL status: NR Hormone receptor status:
Human epidermal growth factor receptor 2 status: NR Participants randomised:
Country of participants: Germany |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period:
|
|
| Outcomes |
|
|
| Notes | Funding sources: "We are grateful to Novartis Germany for financial support for the trial and for supplying the medication." Conflicts of interest: NR |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Unclear risk | "randomized" |
| Allocation concealment (selection bias) | Unclear risk | No information given |
| Blinding of participants (performance bias) | High risk | "open‐label" |
| Blinding of personnel (performance bias) | High risk | "open‐label" |
| Blinding of outcome assessment (detection bias) subjective outcomes | High risk | "open‐label" |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | Number of patients that withdrew from the study was pretty similar in both arms; ITT analysis |
| Selective reporting (reporting bias) | Unclear risk | Study protocol was not accessible. |
| Other bias | Unclear risk | Study was prematurely terminated. |
GAIN 2013.
| Study characteristics | ||
| Methods | Setting: phase III Recruitment period: June 2004 to August 2008 Length of study: 2 years Length of follow‐up: median follow‐up of 38.7 months (range 0‐73) |
|
| Participants | Eligibility criteria: • histologically confirmed uni‐ or bilateral primary breast cancer; • adequate surgical treatment with histologic complete resection (R0) of the tumour and ≥ 10 resected axillary nodes with primary wound healing and no signs of infection; • stage of disease from pT1 to operable pT4a‐c with at least one pathologic involved axillary or internal mammary lymph node; • no evidence for distant metastasis after conventional diagnostic workup; • ECOG performance status < 2; • estimated life expectancy of at least 10 years, irrespective of the diagnosis of breast cancer. Exclusion criteria: • known hypersensitivity reaction to the compounds or incorporated substances or known dihydropyrimidine dehydrogenase deficiency; • inadequate organ function including eutrophils < 1.5 g/L, platelets < 100 g/L, aminotransferases, creatinine, or bilirubin > 1.25 x the upper limit of normal, alkaline phosphatase more than 3 x the upper limit of normal, creatinine clearance < 30 mL/min (if creatinine was above ULN); • insufficient or uncompensated cardiac function with left ventricular ejection fraction below the normal range of the institution; • history of severe heart disease, myocardial infarction within the last 6 months; • significant cardiac arrhythmias; • evidence for infection including wound infections and chronic infections; • secondary malignancy; • time since axillary dissection > 3 months (optimal < 1 month); • previously (neoadjuvant or adjuvant) treated invasive breast carcinoma; • previous or concurrent antitumour treatment for any reason; • simultaneous therapy with sorivudine or brivudine as virostatic; • immunosuppressive treatment or concurrent treatment with aminoglycosides; • pregnancy or lactation period; • no adequate nonhormonal contraception in premenopausal patients; concurrent treatment with other experimental drugs; • participation in another clinical trial with any investigational not‐marketed drug within 30 days before study entry. Stage of disease:
TNM staging system:
Mean age:
Menopausal status: 48.4% (intervention 1) vs. 47.2% (intervention 2) pre or perimenopausal; 51.6% (intervention 1) vs. 52.8% (intervention 2) postmenopausal RANKL status: NR Hormone receptor status: 76.5% (intervention 1) vs. 77.7% (intervention 2) HR positive Human epidermal growth factor receptor 2 status: 22.1% (intervention 1) vs. 21.8% (intervention 2) HER2‐positive Participants randomised:
Country of participants: Germany |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period: endocrine therapy (tamoxifen + LHRH; 104 patients intervention 1 and 57 patients intervention 2), tamoxifen alone (695 patients intervention 1 and 350 patients intervention 2), tamoxifen + aromatase inhibitor (520 patients intervention 1 and 242 patients intervention 2), chemotherapy, radiotherapy |
|
| Outcomes |
Tertiary objectives:
|
|
| Notes | Funding sources: Research Funding: Gunter von Minckwitz, Roche, Amgen, Novartis; Volker Mo¨bus, Amgen, Novartis, Roche, Johnson & Johnson; Volkmar Mu¨ller, Roche Conflicts of interest: Schneeweiß: Amgen Huober: Roche, Novartis, Amgen Jackisch: Amgen Diel: Amgen, Novartis, Roche Müller: Roche, Amgen Lück: Roche, GlaxoSmithKline, Eisai, Novartis Harbeck: Roche Loibl: Roche von Minckwitz: Roche, Amgen, Novartis Möbus: Amgen, GlaxoSmithKline, Pfizer, Roche, Celgene, Novartis, Johnson & Johnson Thomssen: Roche, Amgen Bauerfeind: Bristol‐Myers Squibb, Amgen Schmidt: Roche Clemes: Roche |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Low risk | Computer‐generated permutated block randomisation |
| Allocation concealment (selection bias) | Low risk | Eligibility was centrally confirmed; computer‐generated permutated block randomisation |
| Blinding of participants (performance bias) | High risk | Open‐label |
| Blinding of personnel (performance bias) | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) subjective outcomes | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | Modified ITT analysis; very small number of participants did not commence treatment and were excluded from ITT analysis. |
| Selective reporting (reporting bias) | Low risk | All prespecified outcomes of ibandronate analysis reported |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
GeparX 2016.
| Study characteristics | ||
| Methods | Überdenken, ob so extrahieren
Setting: multicentre, phase IIb, 2 x 2 randomised, open‐label Recruitment period: Length of study: 6 months Length of follow‐up: not reported/planned |
|
| Participants | Eligibility criteria:
Exclusion criteria:
TNM staging system:
Mean age: median 49 years
Menopausal status:
RANKL status: not reported Hormone receptor status: HR+ 39.2% Human epidermal growth factor receptor 2 status: 19.7% (denosumab) vs. 19.5% (placebo) HER2 positive Participants randomised:
Country of participants: Germany |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: not reported Cancer treatment during study period: anthracycline/taxane‐based neoadjuvant chemotherapy |
|
| Outcomes | Primary:
Secondary:
|
|
| Notes | Funding sources: not reported Conflicts of interest: Blohmer reported personal fees from Amgen during the conduct of the study; and personal fees from AstraZeneca, Merck Sharp & Dohme (MSD), Roche, and Seagen outside the submitted work. Link reported personal fees from Novartis, Pfizer, Roche, Tesaro, MSD, Amgen, Clovis, Lilly, Myriad, Eisai, GSK, and Gilead and nonfinancial support from MSD, Celgene, Clovis, and Daiichi Sankyo outside the submitted work. Reinisch reported personal fees from Roche, Lilly, AstraZeneca, Daiichi Sankyo, Pfizer, Seagen, Somatex, and Novartis and travel from Novartis and Celgene outside the submitted work. Untch reported personal fees (advisor; all fees to employer) from AbbVie, Eisai, and Seagen and personal fees (advisor, speaker; all fees to employer) from Amgen, AstraZeneca, Celgene, Daiichi Sankyo, Gilead, GlaxoSmithKline (GSK), Lilly, MSD Merck, Mylan, Myriad, Novartis, Pierre Fabre, Pfizer, Sanofi Aventis, and Roche outside the submitted work. Fasching reported grants from BioNTech and Cepheid and personal fees from Novartis, Pfizer, Daiichi Sankyo, AstraZeneca, Eisai, MSD, Lilly, Pierre Fabre, Seagen, Roche, Hexal, Agendia, Gilead, and Sanofi Aventis during the conduct of the study. Schneeweiss reported personal fees (honoraria) from Amgen, AstraZeneca, Celgene, Gilead, GSK, Lilly, MSD, Novartis, Pfizer, Pierre Fabre, Roche, Seagen, Teva, and Tesaro, and travel support from Celgene, Pfizer, and Roche outside the submitted work. Wimberger reported personal fees from Amgen, AstraZeneca, MSD, Novartis, Pfizer, Lilly, Roche, TEVA, Eisai, Clovis, and GSK outside the submitted work. Seiler reported travel costs from Novartis and personal fees from Roche, Mundipharma, Amgen, and AbbVie outside the submitted work. Huober reported grants from Hexal; grants and personal fees from Lilly; grants, personal fees, and travel expenses from Celgene; personal fees from Novartis, MSD, AstraZeneca, Gilead, Seagen, and Eisai; and personal fees and travel expenses from Roche, Pfizer, and Daiichi Sankyo outside the submitted work. Thill reported personal fees and nonfinancial support from Amgen; personal fees from AstraZeneca, Celgene, Pfizer, Roche, Hexal, Organon, Viatris, Vifor, Servier, Exact Sciences, Sysmex, Clearcut, PFM Medical, Daiichi Sankyo, Eisai, Gilead, Lilly, MSD, Novartis, Pierre Fabre, Clovis, and Seagen; and trial funding from Endomag and Exact Sciences outside the submitted work. Jackisch reported personal fees from Roche, AstraZeneca, Pfizer, and Amgen during the conduct of the study. Hanusch reported personal fees from Roche, Novartis, Pfizer, Celgene, Lilly, and AstraZeneca outside the submitted work. Denkert reported grants from the German Breast Group during the conduct of the study; personal fees from Novartis, Roche, MSD Oncology, Daiichi Sankyo, Molecular Health, AstraZeneca, Merck, and Lilly; grants from Myriad Genetics and Roche; and other (cofounder) from Sividon outside the submitted work; in addition, Denkert had a patent for Company: VMscope digital pathology software with royalties paid. Loibl reported honorarium for advisory boards (paid to institute) from AbbVie, Amgen, Bayer, Celgene, EirGenix, GSK, Lilly, Merck, Puma, Seagen; honorarium for advisory boards and lectures from AstraZeneca, Daiichi Sankyo, Novartis, Pierre Fabre, Prime/Medscape, and Pfizer; nonfinancial support and honorarium for advisory boards (paid to institute) from Bristol Myers Squibb; personal fees (lecture) from Chugai; other (paid to institute) from Ipsen; grants (honorarium for advisory boards and lectures from Roche; honorarium (lecture, paid to institute) from Samsung; nonfinancial support (paid to institute) from Vifor; and nonfinancial support (paid to institute/medical writing) from Gilead outside the submitted work; in addition, Loibl had a patent for EP14153692.0 pending, Immunsignature in TNBC; a patent for EP21152186.9 pending, CDK 4/6 Inhibitor Therapy; a patent for EP15702464.7 pending, predicting response to an anti‐HER2– containing therapy; and a patent for VMscope with royalties paid to VMscope GmbH. No other disclosures were reported. |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Low risk | "Patients were first randomized centrally in a 1:1 ratio to either denosumab or no denosumab in addition to neoadjuvant chemotherapy (NACT), stratified by LPBC, BC subtype, and epirubicin and cyclophosphamide (EC) schedule." |
| Allocation concealment (selection bias) | Low risk | "patients were first randomized centrally [see above]" |
| Blinding of participants (performance bias) | High risk | Open‐label |
| Blinding of personnel (performance bias) | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) subjective outcomes | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | Intention‐to‐treat population |
| Selective reporting (reporting bias) | Unclear risk | Overall survival and disease‐free survival are not yet reported, but should be reported in the future. |
| Other bias | Low risk | None identified |
H‐FEAT 2011.
| Study characteristics | ||
| Methods | Setting :
Recruitment period:
Length of study:
Length of follow‐up:
|
|
| Participants | Eligibility criteria:
Exclusion criteria:
Mean age: not reported
Menopausal status:
RANKL status:
Hormone receptor status:
Human epidermal growth factor receptor 2 status:
Participants randomised: not reported
Country of participants:
|
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions:
Cancer treatment during study period:
|
|
| Outcomes | Primary:
Secondary:
|
|
| Notes | Funding sources:
Conflicts of interest:
|
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Low risk | Randomised; institution was considered as a block; central registration |
| Allocation concealment (selection bias) | Low risk | Central registration |
| Blinding of participants (performance bias) | High risk | Open‐label ‐ no one was blinded. |
| Blinding of personnel (performance bias) | High risk | Open‐label ‐ no one was blinded. |
| Blinding of outcome assessment (detection bias) subjective outcomes | High risk | Open‐label ‐ no one was blinded. |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Unclear risk | Only abstract available |
| Selective reporting (reporting bias) | Unclear risk | Only abstract available |
| Other bias | Unclear risk | Only abstract available |
Hershman 2008.
| Study characteristics | ||
| Methods | Setting: phase II, multicentre Recruitment period: NR Length of study: 1 year Length of follow‐up: 1 year |
|
| Participants | Eligibility criteria: • diagnosis of localised breast cancer, stage I or II (T1‐3, N0‐2, M0); • planned adjuvant chemotherapy (after surgery) of at least 6 months in duration; • hormone receptor status: oestrogen receptor and progesterone receptor status known; • age 18 to 50; • female; • premenopausal or perimenopausal; • creatinine less than 2 mg/dL; • at least 1 month since prior calcitonin; • at least 12 months since prior bisphosphonates given for more than 1 month duration; • no concurrent fluoride therapy (10 mg/day or more); • no concurrent enrolment in another experimental drug study. Exclusion criteria: • T score of less than 2.0 on bone mineral density (BMD); • fragility fracture; • lumbar spine anatomy that would preclude accurate BMD measurement of a minimum of 3 lumbar vertebrae; • pregnancy. Stage of disease:
TNM staging system:
Mean age:
Menopausal status: 100% premenopausal RANKL status: NR Hormone receptor status:
Human epidermal growth factor receptor 2 status: NR Participants randomised:
Country of participants: USA |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period:
|
|
| Outcomes | • per cent change in lumbar spine BMD at 6 months; • per cent change at any BMD site and markers of bone turnover at 12 months; • percentage change in BMD and bone turnover markers at 12 and 24 months (1 yr after last infusion). | |
| Notes | Funding sources: Dawn L. Hershman, Novartis Pharmaceuticals; Elizabeth Shane, Novartis Pharmaceuticals; NIH Conflicts of interest: Hershman: Novartis Pharmaceuticals Shane: Novartis Pharmaceuticals |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Low risk | "A separate restricted random assignment list was prepared for each stratum at each site, using random permuted blocks." |
| Allocation concealment (selection bias) | Low risk | "A separate restricted random assignment list was prepared for each stratum at each site, using random permuted blocks." |
| Blinding of participants (performance bias) | Low risk | "double‐blind" |
| Blinding of personnel (performance bias) | Low risk | "double‐blind" |
| Blinding of outcome assessment (detection bias) subjective outcomes | Low risk | "double‐blind" |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | ITT analysis |
| Selective reporting (reporting bias) | High risk | Recurrence was not actually an endpoint but was mentioned; study protocol stated, that QoL was measured but outcome was not reported in results. |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
HOBOE 2019.
| Study characteristics | ||
| Methods | Setting: phase III, multicentre Recruitment period: 2004‐2015 2004‐2009 post and premenopausal; 2009‐2015 only premenopausal Length of study: planned 5 years Length of follow‐up: median follow‐up of 64 months |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease: early stage breast cancer TNM staging system: intervention 1:
intervention 2:
Mean age:
Menopausal status: only long‐time follow‐up outcomes (at 5 years); only premenopausal included; earlier outcomes (especially bone health mixed) RANKL status: NR Hormone receptor status: PR+
Human epidermal growth factor receptor 2 status:
Participants randomised:
Country of participants: Italy |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period: letrozole 2.5 mg/day for 5 years; ovarian function suppression (OFS) with triptorelin: 3.75 mg at the start of treatment and then every 4 weeks, for 5 years or up to 55 years of age; previous adjuvant or neoadjuvant chemotherapy was allowed; radiotherapy was allowed; surgery before treatment; trastuzumab allowed in HER2+ patients |
|
| Outcomes | DFS in premenopausal patients 5 y BMD ‐ 1 y, subgroup menopausal status reported DFS postmenopausal patients OS ‐ 5 y mortality 5 y toxicity fracture (no cases 1 y) ONJ (no cases 1 y) distant metastases | |
| Notes | Funding sources: National Cancer Institute, Naples, University of Campania "Luigi Vanvitelli" Conflicts of interest: F.P. reports nonfinancial support from Novartis, during the conduct of the study and personal fees from AstraZeneca, Bayer, Ipsen, Pierre Fabre, Incyte, Novartis, Celgene, Roche, BMS and Eli Lilly, outside the submitted work. M. De L. reports personal fees from Pfizer, Novartis, Roche, Celgene, AstraZeneca, Eisai and Eli Lilly, outside the submitted work. S. De P. reports personal fees from Pfizer, AstraZeneca and Novartis, during the conduct of the study and grants from Astra Zeneca, outside the submitted work. L.D.M. reports personal fees and non‐financial support from Roche and Pfizer and personal fees from Ipsen, Eli Lilly, Eisai, Novartis, Takeda and MSD, outside the submitted work. S.C. reports personal fees from Eli Lilly, outside the submitted work. M.C.P. reports personal fees from MSD, AstraZeneca, Bayer and Roche, outside the submitted work. N.N. reports grants, personal fees and non‐financial support from Merck Serono; grants, personal fees and non‐financial support from Thermofisher; personal fees from BMS, grants and personal fees from Qiagen; grants and personal fees from Roche; grants and personal fees from AstraZeneca; personal fees from Sanofi and personal fees from Boehringer Ingelheim, outside the submitted work. The other co‐authors have nothing to declare. |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Low risk | "Randomisation was performed via a web‐based trial platform". |
| Allocation concealment (selection bias) | Low risk | "Independent Data Monitoring Committee" |
| Blinding of participants (performance bias) | High risk | Open‐label |
| Blinding of personnel (performance bias) | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) subjective outcomes | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | ITT analysis performed |
| Selective reporting (reporting bias) | Low risk | All predefined outcomes reported |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
JONIE 2017.
| Study characteristics | ||
| Methods | Setting: multicentre, phase II Recruitment period: March 2010 to June 2012 Length of study: 5 years Length of follow‐up: 8 years |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease: stage IIA to IIIB (T ≥ 3.0 cm and node negative, or T ≥ 2.0 cm and cytologically or pathologically defined node‐positive) TNM staging system:
Mean age:
Menopausal status:
RANKL status: NR Hormone receptor status:
Human epidermal growth factor receptor 2 status: all patients were HER2‐negative Participants randomised:
Country of participants: Japan |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period:
|
|
| Outcomes |
|
|
| Notes | Funding sources: self‐funding Conflicts of interest: "The authors report no proprietary or commercial interest for any product or concept discussed in this article." |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Low risk | "Randomization was centralized at the data center of the JONIE trial group (Niigata University, Japan) and performed using the minimization method". |
| Allocation concealment (selection bias) | Unclear risk | No information given |
| Blinding of participants (performance bias) | High risk | Open‐label |
| Blinding of personnel (performance bias) | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) subjective outcomes | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | Number of participants that withdrew from the study almost equal in both arms; ITT analysis was performed. |
| Selective reporting (reporting bias) | Low risk | Study protocol was available and all prespecified outcomes were reported. |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
Kanis 1996.
| Study characteristics | ||
| Methods | Setting: multicentre, phase II Recruitment period: NR Length of study: 3 years Length of follow‐up: NR |
|
| Participants | Eligibility criteria:
Exclusion criteria: no information given Stage of disease: NR TNM staging system: NR Mean age:
Menopausal status:
RANKL status: NR Hormone receptor status:
Human epidermal growth factor receptor 2 status: NR Participants randomised:
Country of participants: UK, Canada |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period:
|
|
| Outcomes |
|
|
| Notes | Funding sources: "The study was supported by Leiras Oy and Boehringer Mannheim GmbH" Conflicts of interest: NR |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Low risk | "The randomization was controlled at an independent center, using a prerandomization numbering system." |
| Allocation concealment (selection bias) | Low risk | "The randomization was controlled at an independent center, using a prerandomization numbering system." |
| Blinding of participants (performance bias) | Low risk | Double‐blind with an identical placebo |
| Blinding of personnel (performance bias) | Low risk | "All clinicians involved in the study, pharmacy staff and other personnel at each center were unaware of the treatment allocation." |
| Blinding of outcome assessment (detection bias) subjective outcomes | Low risk | "All clinicians involved in the study, pharmacy staff and other personnel at each center were unaware of the treatment allocation." |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | All randomised participants were analysed. |
| Selective reporting (reporting bias) | Low risk | All prespecified endpoints were reported. |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
Kristensen 2008.
| Study characteristics | ||
| Methods | Setting: multicentre, phase III Recruitment period: January 1990 to January 1996 Length of study: 4 years Length of follow‐up: 10 years |
|
| Participants | Eligibility criteria:
Exclusion criteria: NR Stage of disease: 24% without lymph node activity; tumour sizes mostly 0‐50mm; malignancy grade 1‐3 TNM staging system:
Mean age:
Menopausal status:
RANKL status: NR Hormone receptor status:
Human epidermal growth factor receptor 2 status: NR Participants randomised:
Country of participants: Denmark, Sweden, Iceland |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period:
|
|
| Outcomes |
|
|
| Notes | Funding sources: "Supported in part by grants‐in‐aid from Pharmacia (now Pfizer) and Ciba‐Giegy (now Novartis)" Conflicts of interest: NR |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Unclear risk | No information given |
| Allocation concealment (selection bias) | Unclear risk | No information given |
| Blinding of participants (performance bias) | High risk | "open‐label trial" |
| Blinding of personnel (performance bias) | High risk | "open‐label trial" |
| Blinding of outcome assessment (detection bias) subjective outcomes | High risk | "open‐label trial" |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | "intention‐to‐treat principle and a per‐protocol analysis were done". |
| Selective reporting (reporting bias) | Unclear risk | Study protocol not accessible |
| Other bias | High risk | Participants were not allowed to be on endocrine therapy. However, 17% of participants in control arm versus 13% in pamidronate arm were ER‐positive. This may potentially bias results against the control arm since these participants were not treated optimally. |
Mardiak 2000.
| Study characteristics | ||
| Methods | Setting: multicentre Recruitment period: 1990 to 1993 Length of study: 2 years Length of follow‐up: median follow‐up of 84 months |
|
| Participants | Eligibility criteria:
Exclusion criteria: NR Stage of disease:
TNM staging system: NR Mean age:
Menopausal status: NR RANKL status: NR Hormone receptor status: NR Human epidermal growth factor receptor 2 status: NR Participants randomised:
Country of participants: Slovak Republic |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: Cancer treatment during study period:
|
|
| Outcomes |
|
|
| Notes | Funding sources: Boehringer‐Mannheim Comp Conflicts of interest: NR |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Unclear risk | "randomised" |
| Allocation concealment (selection bias) | Unclear risk | No information given |
| Blinding of participants (performance bias) | Low risk | Double‐blind |
| Blinding of personnel (performance bias) | Low risk | Double‐blind |
| Blinding of outcome assessment (detection bias) subjective outcomes | Low risk | Double‐blind |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | High risk | 10/72 participants not evaluable because of "short duration of therapy" |
| Selective reporting (reporting bias) | Low risk | All prespecified outcomes were reported. |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
Monda 2017.
| Study characteristics | ||
| Methods | Setting: prospective, randomised controlled trial Recruitment period: NR Length of study: 2 years Length of follow‐up: 2 years |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease: NR TNM staging system: NR Mean age:
Menopausal status: 100% postmenopausal RANKL status: NR Hormone receptor status: all patients were hormone receptor‐positive Human epidermal growth factor receptor 2 status: NR Participants randomised:
Country of participants: NR |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period:
|
|
| Outcomes |
|
|
| Notes | Funding sources: "This study was supported by grants of Department of Biology, Universitá degli Studi di Napoli Federico II" Conflicts of interest: NR |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Unclear risk | "women were randomly assigned" |
| Allocation concealment (selection bias) | Unclear risk | No information given |
| Blinding of participants (performance bias) | Unclear risk | No information given |
| Blinding of personnel (performance bias) | Unclear risk | No information given |
| Blinding of outcome assessment (detection bias) subjective outcomes | Unclear risk | No information given |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Unclear risk | Not enough information given |
| Selective reporting (reporting bias) | Unclear risk | No study protocol |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
N02C1 2009.
| Study characteristics | ||
| Methods | Setting: phase III, multicentre Recruitment period: March 2003 to March 2006 Length of study: 1 year Length of follow‐up: 1 year |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease: stage I to IIIB TNM staging system: NR Mean age:
Menopausal status: 100% premenopausal RANKL status: NR Hormone receptor status: NR Human epidermal growth factor receptor 2 status: NR Participants randomised:
Country of participants: Canada, USA |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period:
|
|
| Outcomes |
|
|
| Notes | Funding sources: Stephanie L. Hines, Aventis, Novartis; Charles L. Loprinzi, Aventis Study Sponsor: Alliance for Clinical Trials in Oncology "This study was funded by the NCI, with supplemental funding from Aventis." Conflicts of interest: Stephanie L. Hines, Aventis, Novartis; Charles L. Loprinzi, Aventis |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Unclear risk | "were randomly assigned" |
| Allocation concealment (selection bias) | Unclear risk | No information given |
| Blinding of participants (performance bias) | Low risk | "double‐blind" |
| Blinding of personnel (performance bias) | Low risk | "double‐blind" |
| Blinding of outcome assessment (detection bias) subjective outcomes | Low risk | "double‐blind" |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | Number of participants that withdrew from the study had fairly similar reasons for withdrawals. |
| Selective reporting (reporting bias) | Unclear risk | Not all outcomes listed in the protocol were reported in the study. |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
NATAN 2016.
| Study characteristics | ||
| Methods | Setting: phase III Recruitment period: between 01/2005 and 06/2009 Length of study: planned 5 years Length of follow‐up: median of 54.7 months |
|
| Participants | Eligibility criteria:
‐ complete baseline documentation sent to GBG;
‐ prior preoperative chemotherapy for at least 4 cycles, of which at least two must contain a taxane and an anthracycline;
‐ completely resected unilateral or bilateral primary carcinoma of the breast with histologically detectable tumour residuals (ypT1‐4) and/or histology confirmed involvement of axillary nodes (ypN1‐3). Sentinel node biopsy is allowed, but complete axillary clearance is mandatory in node‐positive cases;
‐ a maximum interval of 3 years from date of axillary surgery to entering this trial;
‐ Karnofsky index >= 70%;
‐ life expectancy of at least 10 years, disregarding the diagnosis of cancer;
‐ no clinical evidence of local recurrence or distant metastases;
‐ complete staging work‐up: All patients must have breast ultrasound, chest X‐ray, ultrasound or CT scan of the liver within 3 months prior to registration, as well as (bilateral) mammography or breast MRI and bone scan within 8 months prior to registration. In the case of a positive bone scan, a bone X‐ray is mandatory. Other tests may be performed as clinically indicated;
‐ adequate renal and hepatic function (serum creatinine, bilirubin, and transaminases within 1.5 × upper normal range);
‐ patients must be available and compliant for treatment and follow‐up. Patients registered on this trial must be treated and followed up at the participating centre. Exclusion criteria: ‐ known hypersensitivity reaction to the investigational compound; ‐ prior postoperative chemotherapy; ‐ prior treatment with bisphosphonates since breast cancer surgery; ‐ pregnant or lactating patients. Patients of childbearing potential must have a negative pregnancy test (urine or serum) within 14 days prior to registration and must implement adequate non‐hormonal contraceptive measures (barrier methods, intra‐uterine contraceptive devices, sterilisation) during study treatment ‐ history of diseases with influence on bone metabolism, such as Paget's disease of bone and primary hyperparathyroidism or osteoporosis requiring treatment at the time of study entry or considered likely to become necessary within the six months; ‐ other serious illnesses or medical conditions that may interfere with the understanding and giving of informed consent and the conduct of the study; ‐ prior or concomitant secondary malignancy (except non‐melanomatous skin cancer or carcinoma in situ of the uterine cervix); ‐ concurrent treatment with other experimental drugs or any other anti‐cancer therapy; ‐ abnormal renal function as evidenced by a calculated creatinine clearance of < 30 mL/minute; ‐ serum calcium concentration < 8.0 mg/dL (2.00 mmol/L) or > 12.0 mg/dL (3.00 mmol/L); ‐ concurrent treatment with sex hormones. Prior treatment must be stopped before study entry; ‐ current active dental problems including infection of the teeth or jawbone (maxilla or mandibular) dental or fixture trauma, or a current or prior diagnosis of osteonecrosis of the jaw, of exposed bone in the mouth, or of slow healing after dental procedures; ‐ recent (within 6 weeks) or planned dental or jaw surgery (e.g. extraction, implants). Stage of disease: early breast cancer with invasive residual disease TNM staging system: ypT0: 2.8% DCIS: 1.3% ypT1: 40‐6% ypT2: 39.9% ypT3: 11.2% ypT4: 4.3% ypN0: 28.1% ypN1: 44.8% ypN2: 20% ypN3: 7.1% Mean age: 66.4% < 55 y; 33.6% > 55 y
Menopausal status: 27.5% premenopausal 47.0% postmenopausal (difference changed from pre to postmenopausal during neoadjuvant chemotherapy) RANKL status: NR Hormone receptor status: ER+ and/or PgR+ 79.3% Human epidermal growth factor receptor 2 status: 17.4% HER2‐positive Participants randomised:
Country of participants: Germany, Austria |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period: chemotherapy (anthracycline‐taxane‐containing neoadjuvant chemotherapy before surgery), radiotherapy, endocrine therapy, trastuzumab, surgery |
|
| Outcomes | ‐ event‐free survival; ‐ OS; ‐ EFS with respect to the interval between surgery and randomisation; ‐ bone metastasis‐free survival; ‐ toxicity; ‐ compliance ; ‐ predictive value of primary breast tumour response on the effect of postoperative treatment; ‐ prognostic impact of chemotherapy‐induced amenorrhoea in premenopausal patients. | |
| Notes | Funding sources: Novartis provided study medication as well as
financial funding for the study but was not involved in the design, conduct or analysis and interpretation of the data. Conflicts of interest: Von Minckwitz G: institution received research grants from Roche and Novartis Tesch H: received honoraria from Roche and Novartis; has consultant/advisor role for Roche and Novartis Huober J: received honoraria from Novartis and Roche; has consultant/advisor role for Novartis and Amgen Dubsky P: received honoraria from Pfizer, AstraZeneca; has consultant/advisor role for Pfizer, Roche, Agendia, Sividon Blohmer J.U.: received honoraria from Roche, Amgen, Teva; has consultant/advisor role for Roche and Teva Hanusch C: has consultant/advisor role for Novartis Jackisch C: received honoraria from Amgen Ku¨mmel S: received honoraria from Roche, Celgene, Teva, Novartis; has consultant/advisor role for Roche; institution received research grants from Roche Fasching P: received honoraria from Amgen, Roche, Teva, Genomic Health, Novartis, Pfizer, GSK; has consultant/advisor role Roche, Pfizer, Genomic Health, Teva; institution received research grants from Novartis and Amgen Schneeweiss A: received honoraria from Roche and Celgene; has consultant/advisor role for Roche and Celgene Loibl S: received honoraria from Novartis, has consultant/advisor role for Novartis; institution received research grants from Roche, Novartis and SanofiAventis All other authors have declared no conflicts of interest. |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Low risk | Eligibility was centrally confirmed and block randomisation was used. |
| Allocation concealment (selection bias) | Low risk | Block randomisation |
| Blinding of participants (performance bias) | High risk | Open‐label |
| Blinding of personnel (performance bias) | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) subjective outcomes | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | Low loss to follow‐up; ITT analysis |
| Selective reporting (reporting bias) | Low risk | Outcomes listed in the prospectively registered trial were covered in the clinical trial report. |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
NEO‐ZOTAC BOOG 2010.
| Study characteristics | ||
| Methods | Setting: phase III, multicentre Recruitment period: July 2010 to April 2012 Length of study: 4.5 months Length of follow‐up: 60 months |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease: stage II or III TNM staging system:
Mean age:
Menopausal status:
RANKL status: NR Hormone receptor status:
Human epidermal growth factor receptor 2 status:
Participants randomised:
Country of participants: Netherlands |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period:
|
|
| Outcomes |
|
|
| Notes | Funding sources: "This study was supported by grants from the Dutch Cancer Society (2010–4682), Amgen, Novartis and Sanofi. EudraCT number 2009‐016932‐11, NL30600.058.09." Conflicts of interest: The authors have declared no conflict of interest. |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Low risk | "Patients were centrally randomized at the LUMC Datacenter of the Department of Surgery, through the online ALEA randomisation program. Randomization was done using Pocock’s minimizoledronic acidtion technique […]." |
| Allocation concealment (selection bias) | Low risk | "Patients were centrally randomized at the LUMC Datacenter of the Department of Surgery, through the online ALEA randomisation program. Randomization was done using Pocock’s minimizoledronic acidtion technique […]." |
| Blinding of participants (performance bias) | High risk | Open‐label |
| Blinding of personnel (performance bias) | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) subjective outcomes | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | Number of participants that withdrew from the study was small and equal in both arms; ITT‐analysis |
| Selective reporting (reporting bias) | Low risk | All predefined outcomes reported |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
NEOZOL 2018.
| Study characteristics | ||
| Methods | Setting: phase IIa, multicentre
Recruitment period: April 2010 to October 2013 Length of study: 4.5 months Length of follow‐up: median follow‐up duration and the interval from chemotherapy to initiation of surgery was 5.7 and 5.4 months (arm A and arm B) |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease: stage II or III TNM staging system: IIa, IIb, IIIa (T2/T3) Mean age:
Menopausal status:
RANKL status: NR Hormone receptor status:
Human epidermal growth factor receptor 2 status:
Participants randomised:
Country of participants: France |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period:
|
|
| Outcomes |
|
|
| Notes | Funding sources: The present study was supported in part by NOVARTIS Pharma S.A.S., which did not interfere with the production and reporting of the results. Conflicts of interest: The authors declare that they have no competing interest. |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Low risk | "the patients were randomly allocated [...] using an interactive web response system. The block randomisation method and stratification by the Scarff‐BloomRichardson grade were used to ensure the absence of a selection bias and to achieve balance in the allocation of the treatment arms". |
| Allocation concealment (selection bias) | Low risk | "the patients were randomly allocated [...] using an interactive web response system. The block randomisation method and stratification by the Scarff‐BloomRichardson grade were used to ensure the absence of a selection bias and to achieve balance in the allocation of the treatment arms". |
| Blinding of participants (performance bias) | High risk | Open‐label |
| Blinding of personnel (performance bias) | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) subjective outcomes | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | Number of participants that withdrew from the study after randomisation was very low. |
| Selective reporting (reporting bias) | Low risk | Study protocol available and prespecified outcomes were reported. |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
Novartis I 2006.
| Study characteristics | ||
| Methods | Setting: multicentre, phase III, open‐label Recruitment period: NR Length of study: 3 years Length of follow‐up: 3 years |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease: NR TNM staging system: NR Mean age:
Menopausal status: 100% postmenopausal RANKL status: NR Hormone receptor status: NR Human epidermal growth factor receptor 2 status: NR Participants randomised:
Country of participants: Germany |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period: Aromatase inhibitor (letrozole 2.5 mg/day for 3 years); nothing else reported |
|
| Outcomes |
|
|
| Notes | Funding sources: Novartis (sponsor) Conflicts of interest: NR |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Unclear risk | Randomised, no further information |
| Allocation concealment (selection bias) | Unclear risk | No information given |
| Blinding of participants (performance bias) | High risk | Open‐label |
| Blinding of personnel (performance bias) | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) subjective outcomes | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | Number of participants that did not complete the study was fairly equal; ITT analysis |
| Selective reporting (reporting bias) | High risk | DFS was a prespecified outcome but data were not analysed/presented. |
| Other bias | Unclear risk | Study results were never published. |
NSABP B‐34 2012.
| Study characteristics | ||
| Methods | Setting: multicentre, placebo‐controlled, double‐blind, phase III Recruitment period: 2001‐2004 Length of study: 3 years Length of follow‐up: 90.7 months (median) |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease: stage I‐III TNM staging system: 76% node negative (intervention 1) vs. 75% node negative (intervention 2) Mean age:
Menopausal status: NR RANKL status: NR Hormone receptor status: 78% ER+ and/or PR+ in both interventions Human epidermal growth factor receptor 2 status: NR Participants randomised:
Country of participants: USA |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period: endocrine therapy (5 years), SERM: mostly tamoxifen; chemotherapy when administered, radiotherapy, surgery (mastectomy or lumpectomy before randomisation) |
|
| Outcomes |
|
|
| Notes | Funding sources: NSABP Foundation Inc, National Cancer Institute (NCI), Southwest Oncology Group, North Central Cancer Treatment Group, "The sponsors of the study had no role in study design, data collection, data analysis, data interpretation, or writing of this report, and had no access to the raw data." Conflicts of interest: AHGP received honoraria from Bayer, Novartis, Amgen, and Roche Diagnostics. SJA received travel costs for testimony about the trial to the US Food and Drug Administration in 2000 and 2004. All other authors declared that they had no conflicts of interest. |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Low risk | Stratified randomisation with a biased‐coin minimisation approach to generate a treatment assignment on entry |
| Allocation concealment (selection bias) | Low risk | Biased‐coin minimisation; "all patients, clinicians who treated and assessed patients, and protocol doctors were masked to treatment group assignment". |
| Blinding of participants (performance bias) | Low risk | "all patients, clinicians who treated and assessed patients, and protocol doctors were masked to treatment group assignment". |
| Blinding of personnel (performance bias) | Low risk | "all patients, clinicians who treated and assessed patients, and protocol doctors were masked to treatment group assignment". |
| Blinding of outcome assessment (detection bias) subjective outcomes | Low risk | "all patients, clinicians who treated and assessed patients, and protocol doctors were masked to treatment group assignment". |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | ITT; very small number excluded as lost to follow‐up |
| Selective reporting (reporting bias) | Low risk | All predefined outcomes reported |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
Powles 2006.
| Study characteristics | ||
| Methods | Setting: multicentre, phase III Recruitment period: 1989 to 1995 Length of study: 2 years Length of follow‐up: median follow‐up of 5.6 years |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease:
TNM staging system:
Mean age:
Menopausal status:
RANKL status: NR Hormone receptor status:
Human epidermal growth factor receptor 2 status: NR Participants randomised:
Country of participants: UK, Canada, Norway, Finland |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period:
|
|
| Outcomes |
|
|
| Notes | Funding sources: Bayer Schering Pharma Oy, Turku, Finland Conflicts of interest: EM: Bayer, Roche Diagnostics, Schering AHP: Bayer, Roche Diagnostics, Novartis, Berlex, Pfizer, Astrazeneca, Sopherion, Millenium JAK: Bayer BS: Berlex TP: Berlex PS: Berlex JK: Schering |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Low risk | "randomised by means of numerically ordered and coded packages" |
| Allocation concealment (selection bias) | Low risk | Centralised blinded code |
| Blinding of participants (performance bias) | Low risk | Double‐blind |
| Blinding of personnel (performance bias) | Low risk | Double‐blind |
| Blinding of outcome assessment (detection bias) subjective outcomes | Low risk | Double‐blind |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | ITT analysis; all participants included in the analysis and no missing outcome data |
| Selective reporting (reporting bias) | Low risk | All prespecified outcomes were reported. |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
ProBONE I 2005.
| Study characteristics | ||
| Methods | Setting: randomised, double‐blind Recruitment period: NR Length of study: 2 years Length of follow‐up: NR (terminated due to rare patient population, planned number of patients could not be recruited in a reasonable time frame. Recruitment was stopped prematurely). |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease: NR TNM staging system: NR Mean age:
Menopausal status: NR RANKL status: NR Hormone receptor status: NR Human epidermal growth factor receptor 2 status: NR Participants randomised:
Country of participants: Germany |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period: NR |
|
| Outcomes |
|
|
| Notes | Funding sources: NR Conflicts of interest: NR |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Unclear risk | Randomised; no further information |
| Allocation concealment (selection bias) | Unclear risk | No information given |
| Blinding of participants (performance bias) | Low risk | Double‐blind |
| Blinding of personnel (performance bias) | Low risk | Double‐blind |
| Blinding of outcome assessment (detection bias) subjective outcomes | Low risk | Double‐blind |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | High risk | Study was terminated and no data published. |
| Selective reporting (reporting bias) | High risk | Study was terminated and no data published. |
| Other bias | Unclear risk | No further information |
ProBONE II 2015.
| Study characteristics | ||
| Methods | Setting: prospective, single‐centre randomised, double‐blind, placebo‐controlled Recruitment period: 2005‐2009 Length of study: 2 years Length of follow‐up: 5 years |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease: Tumour grade I‐III (I: 26.5% ZA, 22.2% placebo; II: 64.7% ZA, 58.3% placebo; III: 8.8% ZA, 19.4% placebo) TNM staging system:
Mean age:
Menopausal status: 100% premenopausal RANKL status: NR Hormone receptor status:
Human epidermal growth factor receptor 2 status: NR Participants randomised:
Country of participants: Germany |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period: chemotherapy, radiotherapy (88.2% ZA, 91.7% placebo), endocrine therapy (GnRH analogs: 79.4% ZA, 88.9% placebo; raloxifen: 2.9% ZA, 0% placebo), SERM (94.1% ZA, 94.4% placebo), aromatase inhibitor (8.8% ZA, 13.9% placebo) |
|
| Outcomes |
|
|
| Notes | Funding sources: Novartis Germany Conflicts of interest: PH has received honoraria, unrestricted educational grants and research funding from the following companies: Amgen, Eli Lilly, Novartis, Roche, Sanofi Aventis and Wyeth. PHK has received honoraria, unrestricted educational grants and research funding from the following companies: Alexion, Amgen, Boehringer Ingelheim, Daiichi Sankyo, Eli Lilly, Glaxo‐Smith‐Kline, Ipsen, Jansen‐Cilag, Jenapharm, Kyowa Kirin, MSD, Novartis, Novo Nordisk, Nycomed, Roche, Pharmacia, Pfizer, Procter & Gamble, Sanofi Aventis, Shire, Takeda, Viropharma. FT has received honoraria, unrestricted educational grants and research funding from the following companies: Amgen, Eli Lilly, Novartis and Synexus. IK and OH declare that they have no conflict of interest. |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Unclear risk | "randomized" |
| Allocation concealment (selection bias) | Unclear risk | No information given |
| Blinding of participants (performance bias) | Low risk | Double‐blind |
| Blinding of personnel (performance bias) | Low risk | Double‐blind |
| Blinding of outcome assessment (detection bias) subjective outcomes | Low risk | Double‐blind |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | Only 5 patients were lost to follow‐up; ITT analysis |
| Selective reporting (reporting bias) | Low risk | Study protocol available and prespecified outcomes were reported. |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
REBBeCA 2008.
| Study characteristics | ||
| Methods | Setting: single‐centre Recruitment period: May 2003 to July 2004 Length of study: 2 years Length of follow‐up: 2 years |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease:
TNM staging system: NR Mean age:
Menopausal status: 100% postmenopausal RANKL status: NR Hormone receptor status: NR Human epidermal growth factor receptor 2 status: NR Participants randomised:
Country of participants: USA |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period:
|
|
| Outcomes |
|
|
| Notes | Funding sources: "Funding for this study was provided to S.L.G. by the National Institutes of Health/National Institute of Diabetes and Digestive and Kidney Diseases (K24 DK062895‐03), a NCST from Procter and Gamble and the Alliance for Better Bone Health and to the General Clinical Research Center of the University of Pittsburgh by the National Institutes of Health/National Center for Research Resources (M01‐RR00056)." Conflicts of interest: "Although all authors completed the disclosure declaration, the following author(s) indicated a financial or other interest that is relevant to the subject matter under consideration in this article. Certain relationships marked with a “U” are those for which no compensation was received; those relationships marked with a “C” were compensated. For a detailed description of the disclosure categories, or for more information about ASCO’s conflict of interest policy, please refer to the Author Disclosure Declaration and the Disclosures of Potential Conflicts of Interest section in Information for Contributors. Employment or Leadership Position: None Consultant or Advisory Role: Susan L. Greenspan, Procter and Gamble (C); Victor G. Vogel, Procter and Gamble (C) Stock Ownership: None Honoraria: Susan L. Greenspan, Procter and Gamble; Rajib Bhattacharya, Procter and Gamble Research Funding: Susan L. Greenspan, Procter and Gamble; Rajib Bhattacharya, Procter and Gamble; Victor G. Vogel, Procter and Gamble Expert Testimony: None Other Remuneration: None" |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Low risk | "Patients were randomly assigned by computer generation[…]". |
| Allocation concealment (selection bias) | Low risk | "Patients were randomly assigned by computer generation[…]". |
| Blinding of participants (performance bias) | Low risk | "double‐blind" |
| Blinding of personnel (performance bias) | Low risk | "double‐blind" |
| Blinding of outcome assessment (detection bias) subjective outcomes | Low risk | "double‐blind" |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | ITT analysis |
| Selective reporting (reporting bias) | Low risk | Study protocol available and prespecified outcomes were reported. |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
REBBeCA II 2016.
| Study characteristics | ||
| Methods | Setting: single‐centre, double‐blind, placebo‐controlled, randomised, phase 4 Recruitment period: 2008‐2013 Length of study: 2 years Length of follow‐up: 2 years |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease: stage I‐III TNM staging system: NR Mean age:
Menopausal status: 100% postmenopausal RANKL status: NR Hormone receptor status: 100% ER+ and/or PR+ Human epidermal growth factor receptor 2 status: NR Participants randomised:
Country of participants: USA |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period: radiotherapy (76% risedronate vs. 91% placebo), chemotherapy (32% risedronate vs. 50% placebo), aromatase inhibitor (anastrozole: 82% risedronate vs. 7% placebo; letrozole: 7% risedronate vs. 22% placebo; exemastane: 11% risedronate vs. 6% placebo), lumpectomy (81% risedronate vs. 79% placebo), mastectomy (35% risedronate vs. 32% placebo), axillary node removal (75% risedronate vs. 89% placebo) |
|
| Outcomes |
|
|
| Notes | Funding sources: The study was funded by grant support from Procter and Gamble and the Alliance for Better Bone Health and Warner Chilcott who supplied the drug and matching placebo. Support was also provided by NIH grants K24DK062895, T32AG021885, and P30AG024827. Conflicts of interest: Susan L. Greenspan has the following grant funding but none present a conflict of interest: NIH, PCORI, Eli Lilly, Amgen. Karen T. Vujevich, Barry C. Lembersky, Shannon L. Puhalla, and Priya Rastogi have no conflict of interest to declare. Adam Brufsky has the following grant funding but none present a conflict of interest: NIH/NCI. G.J. van Londen has the following grant funding but none present a conflict of interest: NIH. Rachel C. Jankowitz has the following grant funding but none present a conflict of interest: NSABP Foundation, Komen Foundation. Subashan Perera has the following grant funding but none present a conflict of interest: NIH, PCORI. |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Low risk | "The study biostatistician randomized participants in a 1:1 ratio using random block sizes of 2 and 4". |
| Allocation concealment (selection bias) | Low risk | "The study biostatistician randomized participants in a 1:1 ratio using random block sizes of 2 and 4. The independent research pharmacist provided identically appearing active drug or placebo". |
| Blinding of participants (performance bias) | Low risk | Double‐blind |
| Blinding of personnel (performance bias) | Low risk | Double‐blind |
| Blinding of outcome assessment (detection bias) subjective outcomes | Low risk | Double‐blind |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Double‐blind |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | Number of participants that withdrew from the study was almost equal in the study arms;, ITT analysis |
| Selective reporting (reporting bias) | Low risk | Study protocol available and prespecified outcomes were reported. |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
Rhee 2013.
| Study characteristics | ||
| Methods | Setting: single‐centre, randomised, placebo‐controlled, double‐blind Recruitment period: NR Length of study: 6 months Length of follow‐up: 6 months |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease: early stage breast cancer TNM staging system: NR Mean age:
Menopausal status: 100% postmenopausal RANKL status: NR Hormone receptor status: 100% HR+ and/or PR+ Human epidermal growth factor receptor 2 status: NR Participants randomised:
Country of participants: Korea |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: Cancer treatment during study period: aromatase inhibitor (anastrozole: 28 (alendronate) vs. 31 (placebo), letrozole (21 (alendronate) vs. 18 (placebo), calcitriol as part of the study drug in intervention 1; previous chemotherapy 46.9% (alendronate) vs. 53.1% (placebo) |
|
| Outcomes |
|
|
| Notes | Funding sources: Yuyu Pharma Inc. Conflicts of interest: none declared |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Low risk | Assignments to the Maxmarvil or placebo group were made using a list of randomly allocated treatment codes. |
| Allocation concealment (selection bias) | Unclear risk | No information given |
| Blinding of participants (performance bias) | Low risk | Double‐blind |
| Blinding of personnel (performance bias) | Low risk | Double‐blind |
| Blinding of outcome assessment (detection bias) subjective outcomes | Low risk | Double‐blind |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | Number of participants that withdrew from the study was small in both arms. |
| Selective reporting (reporting bias) | Unclear risk | Study protocol not available |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
Saarto 2004.
| Study characteristics | ||
| Methods | Setting: monocentre Recruitment period: 1990‐1993 Length of study: 3 y Length of follow‐up: 10 y |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease: NR TNM staging system:
Mean age:
Menopausal status: 52% premenopausal, 48% postmenopausal RANKL status: NR Hormone receptor status:
Human epidermal growth factor receptor 2 status: NR Participants randomised:
Country of participants: Finland |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period: endocrine therapy (postmenopausal), SERM (postmenopausal; tamoxifen 20 mg daily or toremifine 60 mg daily), chemotherapy (premenopausal; 6 cycles of cyclophosphamide 600 mg/m2, methotrexate 40 mg/m2 and fluorouracil 600 mg/m2, intravenously on day 1 and successive 3‐week intervals), radiotherapy (postoperative with megavoltage irradiation in a total dose of 50 Gy in 25 fractions to regional lymph nodes and the operation scar after mastectomy or residual breast tissue after breast‐conserving resection), surgery with axillary evacuation and total mastectomy or breast‐conserving resection |
|
| Outcomes |
|
|
| Notes | Funding sources: Leiras Pharmaceutical Company Conflicts of interest: NR |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Unclear risk | Randomised, but no further information |
| Allocation concealment (selection bias) | Unclear risk | No information provided |
| Blinding of participants (performance bias) | High risk | Open‐label |
| Blinding of personnel (performance bias) | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) subjective outcomes | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | "Clinical investigation and basic laboratory tests were repeated every 4 to 6 months with a radiologic examination if necessary. Investigators performing bone scans and radiologic examinations were blinded to treatment allocation". |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | ITT; no missing data for the final population of 282 |
| Selective reporting (reporting bias) | Low risk | Outcomes were not specified in methodology; however, all expected outcomes were reported. |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
SABRE 2010.
| Study characteristics | ||
| Methods | Setting: multicentre, phase III/IV Recruitment period: NR Length of study: 2 years Length of follow‐up: 2 years |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease: NR TNM staging system:
Mean age:
Menopausal status: 100% postmenopausal RANKL status: NR Hormone receptor status: 100% HR+ Human epidermal growth factor receptor 2 status: NR Participants randomised:
Country of participants: USA, Canada, France, Greece, Netherlands, Spain, South Africa, UK |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period: endocrine therapy, anastrozole |
|
| Outcomes |
|
|
| Notes | Funding sources: AstraZeneca Conflicts of interest: Employment or Leadership Position: Glen Clack, AstraZeneca (C) Consultant or Advisory Role: Catherine Van Poznak, AstraZeneca (C), Novartis (C), Roche (C), Amgen (C); David Barlow, AstraZeneca (C); Andreas Makris, AstraZeneca (C); Richard Eastell, AstraZeneca (C), Sanofi Aventis (C) Stock Ownership: Glen Clack, AstraZeneca Honoraria: Rosemary A. Hannon, Pfizer; John R. Mackey, AstraZeneca; Andreas Makris, AstraZeneca; Richard Eastell, AstraZeneca, Sanofi Aventis Research Funding: Rosemary A. Hannon, AstraZeneca, Proctor & Gamble Pharmaceuticals; Andreas Makris, AstraZeneca; Richard Eastell, AstraZeneca, Sanofi Aventis Expert Testimony: No Other Remuneration: None (C = compensation) |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Low risk | "Random assignment was determined via a central scheme prepared by the biostatistics group at AstraZeneca, and investigators and trial monitors were unaware of each patient’s treatment assignment". |
| Allocation concealment (selection bias) | Low risk | "Random assignment was determined via a central scheme prepared by the biostatistics group at AstraZeneca, and investigators and trial monitors were unaware of each patient’s treatment assignment". |
| Blinding of participants (performance bias) | Low risk | Triple masked (participant, care provider, investigator) |
| Blinding of personnel (performance bias) | Low risk | Triple masked (participant, care provider, investigator) |
| Blinding of outcome assessment (detection bias) subjective outcomes | Low risk | Triple masked (participant, care provider, investigator) |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | No ITT, but dropouts balanced |
| Selective reporting (reporting bias) | Unclear risk | Not all predefined outcomes reported |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
Safra 2011.
| Study characteristics | ||
| Methods | Setting: phase II trial Recruitment period: NR Length of study: 2 y Length of follow‐up: 5 y |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease: stage I‐III TNM staging system: NR Mean age:
Menopausal status: 100% postmenopausal RANKL status: NR Hormone receptor status: 100% ER+ and/or PR+ Human epidermal growth factor receptor 2 status: NR Participants randomised:
Country of participants: Israel |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period: endocrine therapy, SERM (tamoxifen treatment prior to study for 2.5 y inclusion criterium), aromatase inhibitor (letrozole 2.5 mg/day), chemotherapy allowed |
|
| Outcomes |
|
|
| Notes | Funding sources: sponsored by the Tel Aviv Sourasky Medical Center in collaboration with the Soroka University Medical Center. We thank Maria Soushko, PhD, of Phase Five Communications Inc., for medical editorial assistance with this manuscript. Financial support for this assistance and the study drug (zoledronic acid) were provided by Novartis Pharmaceuticals. Conflicts of interest: The authors declared no conflicts of interest. |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Unclear risk | No further information |
| Allocation concealment (selection bias) | Unclear risk | No further information |
| Blinding of participants (performance bias) | High risk | Open‐label |
| Blinding of personnel (performance bias) | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) subjective outcomes | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | No ITT, but reasons given transparently and characteristics of patients discontinuing trial described as balanced between arms |
| Selective reporting (reporting bias) | High risk | Not all time points reported as predefined and it seemed, according to fig. 3, that time points favouring ZA were chosen for the reporting of the main outcome BMD. |
| Other bias | Low risk | Not identified |
Saito 2015.
| Study characteristics | ||
| Methods | Setting: NR Recruitment period: March 2008‐September 2010 Length of study: 2 years Length of follow‐up: 2 years |
|
| Participants | Eligibility criteria:
Exclusion criteria: NR Stage of disease: stage I‐III TNM staging system: NR Mean age:
Menopausal status: 100% postmenopausal RANKL status: NR Hormone receptor status: NR Human epidermal growth factor receptor 2 status: NR Participants randomised:
Country of participants: Japan |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period: aromatase inhibitor (any: ANA, EXE or LTZ) |
|
| Outcomes |
|
|
| Notes | Funding sources: NR Conflicts of interest: NR |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Unclear risk | No further information |
| Allocation concealment (selection bias) | Unclear risk | No further information |
| Blinding of participants (performance bias) | High risk | "open‐label" |
| Blinding of personnel (performance bias) | High risk | "open‐label" |
| Blinding of outcome assessment (detection bias) subjective outcomes | High risk | "open‐label" |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | No ITT; reasons for dropouts transparently reported and balanced between arms |
| Selective reporting (reporting bias) | Unclear risk | No study registry entry available |
| Other bias | Low risk | Not identified |
Solomayer 2012.
| Study characteristics | ||
| Methods | Setting: multicentre, phase II Recruitment period: 2002‐2004 Length of study: 24 months Length of follow‐up: median 88 months |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease: I: 57 IIa: 24 IIb: 11 IIIa: 3 IIIb: 1 TNM staging system: pT1: 51 pT2‐3: 29 nodal status negative: 70 nodal status positive: 10 Mean age:
Menopausal status: 39% premenopausal, 61% postmenopausal RANKL status: NR Hormone receptor status: ER+: 81% ER‐: 19% PR+: 66% PR‐: 34% Human epidermal growth factor receptor 2 status: HER2/neu +: 26% HER2/neu ‐: 73% Participants randomised:
Country of participants: Germany |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period: endocrine therapy and/or chemotherapy |
|
| Outcomes |
|
|
| Notes | Funding sources: Novartis Pharmaceuticals Conflicts of interest: "Dr EFS has received honoraria from Novartis, Roche, and AstraZeneca, and research grants from Roche. Dr WJ has received lecture honoraria and research grants from Novartis. Dr H‐JL has received lecture honoraria from Roche, Novartis, Sanofi, GlaxoSmithKline, and Pfizer, and is an advisory board member for Roche, Novartis, Pfizer, Fresenius, and BMS. Dr JH has received lecture honoraria from Novartis, and is an advisory board member for Roche, Novartis, and Amgen. Dr TF has received honoraria from Roche, Novartis, and AstraZeneca, and research grants from Roche. Dr BW is employed by Novartis. Dr DW has received research grants from Novartis and Roche. Drs GG, PH, SB, and BK have declared no conflict of interest". |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Unclear risk | No further information |
| Allocation concealment (selection bias) | Unclear risk | No further information |
| Blinding of participants (performance bias) | High risk | "open‐label" |
| Blinding of personnel (performance bias) | High risk | "open‐label" |
| Blinding of outcome assessment (detection bias) subjective outcomes | High risk | "open‐label" |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | Low ‐ ITT and per‐protocol analysis perfomed and reasons for discontinuation balanced between arms |
| Selective reporting (reporting bias) | High risk | BMD planned as an outcome as described in trial registry, but no results reported in the full‐text references |
| Other bias | Low risk | Not identified |
Sun 2016.
| Study characteristics | ||
| Methods | Setting: NR Recruitment period: January 2011‐February 2012 Length of study: 1 year Length of follow‐up: 1 year |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease:
TNM staging system: NR Mean age:
Menopausal status: 100% postmenopausal RANKL status: NR Hormone receptor status: 100% hormone receptor‐positive Human epidermal growth factor receptor 2 status: NR Participants randomised:
Country of participants: China |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period: 43 in arm 1 and 45 in arm 2 received chemotherapy; all patients were assigned to take 2.5 mg letrozole per day. |
|
| Outcomes |
|
|
| Notes | Funding sources: "this research received no specific grant from any funding agency in the public, commercial, or not‐for‐profit sectors". Conflicts of interest: "The authors report no conflicts of interest in this work". |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Unclear risk | "randomly assigned" with no further information |
| Allocation concealment (selection bias) | Unclear risk | No information given |
| Blinding of participants (performance bias) | High risk | "open‐label" |
| Blinding of personnel (performance bias) | High risk | "open‐label" |
| Blinding of outcome assessment (detection bias) subjective outcomes | High risk | "open‐label" |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Unclear risk | No ITT and "patients who discontinued letrozole or ZA were withdrawn from study"; pts were also withdrawn for toxicity or refusal ‐ in total 20 pts; not clear which reason or in which arm |
| Selective reporting (reporting bias) | Unclear risk | No study registry entry available |
| Other bias | Low risk | Study appeared to be free of other sources of bias. |
SWOG S0307 2019.
| Study characteristics | ||
| Methods | Setting: multicentre, randomised Recruitment period: 2006‐2010 Length of study: 3 y Length of follow‐up: 10 y |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease:
TNM staging system:
Mean age:
Menopausal status: NR RANKL status: NR Hormone receptor status: 78.5% ER+ and/or PR+ Human epidermal growth factor receptor 2 status: 18.8% HER2+ Participants randomised:
Country of participants: USA |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period: endocrine therapy (75.2%), chemotherapy (79.6%) |
|
| Outcomes |
|
|
| Notes | Funding sources: National Cancer Institute of the National Institutes of Health, and in part by Breast Cancer Research Foundation, Susan G. Komen, Berlex Pharmaceuticals (Bayer), Roche/Genentech, and Novartis provided study drug and drug distribution support. Conflicts of interest: JRG has received fees for consulting or advising from Genentech/Roche, Genomic Health, Novartis, Pfizer, Merck, Immunomedics, AstraZeneca, Puma, Inbiomotion, Radius, Sandoz/Hexal AG. WEB has received research support to his institution from Merck, AstraZeneca. AHGP has received research support from Amgen, Novartis, Pfizer, honoraria from Pfizer, Novartis, Amgen, and fees for consulting or advising from Pfizer, Novartis, Amgen. ATS has received fees for consulting or advising from Amgen, Novartis, Biothera, Pfizer, AstraZeneca, and has received research support to her institution from Amgen and Seattle Genetics. DFH has received fees for consulting or advising from Cepheid, Freenome, Cellworkis, CVS Caremark Breast Panel, Agendia, Merrimack, Eli Lilly, Menarini Silon Biosystems, Puma, AstraZeneca, and has stock options with ONcimmune and InBiomotion. MMS has received fees for consulting or advising from Amgen. CHVP has received research support from Bayer and reports patents, royalties or other intellectual property from Now UpToDate. ECD has received fees for consulting or advising from STRAT, Novartis (spouse), and research support from Merck, Cerulean, Pfizer, Novartis, Lilly, Bayer. CIF has received honorarium from Biotheranostics, received fees for consulting or advising from Biotheranostics, received travel support from Biotheranostics, and received research support from Novartis, Eli Lilly, Oncothyreon, Genentech/Roche, Pfizer. ADE has stock or other ownership interest in Allergan, Abbott, Celgene, Biomarin, Abbvie, Agilent, Alexion, Lilly, Bristol Myers Squibb, Merck, Amgen, Incyte, Pfizer, Gilead, Tesaro, and has received research funding from Eisai, Immune Design, Genentech, Lilly, Innocrin, Astrellas. JHM has employment, leadership role, and stock or ownership to report for MHP. GNH received fees for consulting or advising from Novartis, and has received research funding from Novartis. All other authors declare no competing interests. |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Low risk | Randomised assignment generated by computer using the Oncology Patient Enrollment Network (OPEN) system maintained by NCI. |
| Allocation concealment (selection bias) | Unclear risk | No further information |
| Blinding of participants (performance bias) | High risk | Open‐label |
| Blinding of personnel (performance bias) | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) subjective outcomes | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | Transparently described numbers of included patients for each outcome, balanced between 3 intervention arms |
| Selective reporting (reporting bias) | Low risk | All predefined outcomes reported |
| Other bias | Low risk | Not identified |
Team IIB 2006.
| Study characteristics | ||
| Methods | Setting: multicentre, prospective, phase III Recruitment period: February 2007‐May 2014 Length of study: 3 years Length of follow‐up: median 8.5 years |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease: stage I‐III TNM staging System: NR Mean age: median 62 years
Menopausal status: NR RANKL status: NR Hormone receptor status: 100% hormone receptor‐positive Human epidermal growth factor receptor 2 status: 9.5% HER2+ Participants randomised:
Country of participants: Netherlands |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period: 56% of all patients received (neo)adjuvant chemotherapy (95% anthracyclines, 69% taxanes) |
|
| Outcomes |
|
|
| Notes | Funding sources: "Source(s) of Monetary Support: Pfizer, Roche Nederland BV, Leiden University Medical Centre" Conflicts of interest: Vincent O. Dezentje Consulting or Advisory Role: AstraZeneca Uncompensated Relationships: Novartis (Inst) Mathijs P. Hendriks Research Funding: Amgen (Inst), AstraZeneca (Inst), Bayer (Inst), Boehringer Ingelheim (Inst), Bristol Myers Squibb (Inst), Clovis Oncology (Inst), Eisai (Inst), Ipsen (Inst), Merck Sharp & Dohme (Inst), Novartis (Inst), Pfizer (Inst), Roche (Inst) Vivianne C.G. Tjan‐Heijnen Honoraria: Novartis, Roche, Lilly, AstraZeneca Consulting or Advisory Role:Pfizer, Lilly, Accord Healthcare, Novartis Research Funding:Roche (Inst), Eisai (Inst), Pfizer (Inst), Novartis (Inst), Lilly (Inst), Daiichi Sankyo/AstraZeneca (Inst), Gilead Sciences (Inst) Judith R. Kroep Consulting or Advisory Role: AstraZeneca (Inst), Novartis (Inst), Tesaro (Inst), Lilly (Inst), Vitroscan (Inst), MDS (Inst) Research Funding: AstraZeneca (Inst), Novartis (Inst), Philips Research (Inst) Sabine C. Linn Consulting or Advisory Role: Daiichi Sankyo (Inst) Research Funding: Genentech/Roche (Inst), AstraZeneca (Inst), Bristol Myers Squibb (Inst), Tesaro (Inst), Merck (Inst), Immunomedics (Inst), Eurocept Pharmaceuticals (Inst), Agendia (Inst), Novartis (Inst) Travel, Accommodations, Expenses: Daiichi Sankyo Europe GmbH (Inst) No other potential conflicts of interest were reported. |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Low risk | Patients were randomly assigned by a computer in a 1:1 ratio; stratification was performed according to Pocock’s minimisation strategy. |
| Allocation concealment (selection bias) | Low risk | Patients were centrally randomly assigned [see above]. |
| Blinding of participants (performance bias) | High risk | Open‐label |
| Blinding of personnel (performance bias) | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) subjective outcomes | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | "intention‐to‐treat population" |
| Selective reporting (reporting bias) | Low risk | All predefined outcomes reported |
| Other bias | Low risk | None identified |
Tevaarwerk 2007.
| Study characteristics | ||
| Methods | Setting: multicentre, clinical trial, open‐label, randomised Recruitment period: 2000‐2007 Length of study: 1 y Length of follow‐up: up to 10 y for survival data |
|
| Participants | Eligibility criteria:
Exclusion criteria:
Stage of disease: stage II‐III (locally advanced disease) TNM staging system:
Mean age:
Menopausal status: 100% postmenopausal RANKL status: NR Hormone receptor status:
Human epidermal growth factor receptor 2 status:
Participants randomised:
Country of participants: USA |
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions: NR Cancer treatment during study period: chemotherapy (94%), endocrine therapy (83.8%), SERM (60.3%), aromatase inhibitor (9 women) |
|
| Outcomes |
|
|
| Notes | Funding sources: Novartis Pharmaceuticals Conflicts of interest: NR |
|
| Risk of bias | ||
| Bias | Authors' judgement | Support for judgement |
| Random sequence generation (selection bias) | Low risk | "Participants were randomized using permuted blocks of varying sizes, stratified by the status of current endocrine therapy". |
| Allocation concealment (selection bias) | Unclear risk | No further information |
| Blinding of participants (performance bias) | High risk | Open‐label |
| Blinding of personnel (performance bias) | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) subjective outcomes | High risk | Open‐label |
| Blinding of outcome assessment (detection bias) objective outcomes | Low risk | Due to nature of objective outcomes |
| Incomplete outcome data (attrition bias) All outcomes | Low risk | ITT for BMD and efficacy endpoints ‐ "Participants developing toxicities that failed to meet criteria for the next dose of ZA were taken off study" and "Participants removed from study were followed for toxicity until 4 weeks after the last dose of ZA and until death for survival data". |
| Selective reporting (reporting bias) | Unclear risk | Outcome rates of metastases not reported; in trial registry, investigators claimed they had not collected the data. |
| Other bias | Low risk | Not identified |
ACT: doxorubicin, cycophosphamide and paclitaxel AE: adverse event AI: aromatase inhibitor AJCC: American Joint Committee on Cancer ALT: alanine transaminase ANA: anastrozole ASCO‐CAP: American Society of Clinical Oncology ‐ College of American Pathologists AST: aspartate aminotransferase BC: breast cancer BMD: bone mineral density BMFS: bone metastases‐free survival BP: bisphosphonate BRM: biological response modifiers BSAP: bone‐specific alkaline phosphatase BUN: blood urea nitrogen CAF: cyclophosphamide, doxorubicin and fluorouracil CEF: cyclophosphamide, epirubicin and 5‐fluouracil CIS: carcinoma in stitu CMF: cyclophosphamide + methotrexate + fluorouracil CR: complete response CrCl: creatinine clearance CT: chemotherapy CTC: circulating tumour cell CTCAE: common terminology criteria of adverse events CTX: C‐telopeptide DCIS: ductal carcinoma in situ DFS: disease‐free survival DTC: disseminated tumour cells DXA: dual‐energy x‐ray absorptiometry EC: epirubicin/cyclophosphamid ECG: electrocardiogram ECOG: Eastern Cooperative Oncology Group EC‐TX: epirubicin, cyclophosphamide, paclitaxel and capecitabine EFS: event‐free survival ER: oestrogen receptor ETC: epirubicin, paclitaxel and cyclophosphamide EXE: exemestane FEC: fluorouracil/epirubicin/cyclophosphamid FFPE: formalin‐fixed, paraffin‐embedded FN: femur neck FSH: follicle‐stimulating hormone GBG: German Breast Group GCS: Greene Climacteric Scale GFR: glomerular filtration rate GnRH: gonadotropin‐releasing‐hormone H & E: hematoxylin and eosin HDL: high‐density lipoprotein HER2: human epidermal growth factor receptor HIV: human immunodeficiency virus HR: hormone receptor HRQoL: health‐related quality of life HRT: hormone replacement therapy HSA: hip structural analysis IBD: irritable bowel disease ISH: in‐situ hybridisation ITT: intention‐to‐treat IUD: intrauterine device IV: intravenous LCIS: lobular carcinoma in situ LDL: low‐density lipoprotein LH: luteinising hormone LHRH: luteinising hormone‐releasing hormone LN: lymph node LPBC: lymphocyte predominant breast cancer LS: lumbar spine LTZ: letrozole MDRD: modification of diet in renal disease MRI: magnetic resonance imaging NABON: Nationaal Borstkanker Overleg Nederland (National Breast Cancer Consultation Netherlands) NACT: neoadjuvant chemotherapy NCI‐CTC: National Cancer Institute ‐ common toxicity criteria NR: not reported NTX: N‐telopeptide of type 1 collagen NYHA: New York Heart Association OCN: osteocalcin OFS: ovarian function suppression ONJ: osteonecrosis of the jaw OR: oestrogen receptor OS: overall survival PA: posteroanterior pCR: pathological complete response PgR: progesterone receptor PINP: procollagen type I N‐terminal peptide PR: partial response QUS: quantitative ultrasound RANKL: receptor activator of nuclear factor kappa‐Β ligand RECIST: response evaluation criteria in solid tumours R0: histologic complete resection SC: subcutaneous SD: standard deviation SERM: selective oestrogen receptor modulator SGOT: serum glutamic oxaloacetic transaminase SGPT: serum glutamate pyruvate transaminase SHBG: sex hormone binding globulin SWOG: Southwest Oncology Group TH: total hip TIL: tumor‐infiltrating lymphocyte TNBC: triple‐negative breast cancer TNM: tumor, node, metastasis TP: thymidine phosphorylase TS: thymidylate synthase ULN: upper limit of normal VEGF: vascular endothelial growth factor WBC: white blood cells WHO: World Health Organisation ZA: zoledronic acid ZOL: zoledronate
Characteristics of excluded studies [ordered by study ID]
| Study | Reason for exclusion |
|---|---|
| Ahmad 2007 | Non‐randomised study design |
| Ahn 2009 | Wrong comparison (upfront vs delayed bisphosphonate use) |
| BATMAN 2005 | Wrong comparison (2 years vs 5 years of bisphosphonate use) |
| CALGB 79809 | Wrong comparison (upfront vs delayed bisphosphonate use) |
| Chen 2011 | Asked for translation, non‐randomised study design |
| Ciardo 2020 | Non‐randomised study design |
| Fuleihan 2005 | Inadequate randomisation and allocation concealment |
| Gessner 2000 | Wrong comparison (compares 2 different doses of bisphosphonate) |
| Gucalp 1994 | No subgroup contains only BC |
| Hines 2010 | No comparison (only single‐arm study) |
| IBIS 3 FEASIBILITY | Only trial registry entries; study terminated, no results published |
| IBIS II 2003 | Wrong study population (healthy women at high risk of BC) |
| JPRN‐UMIN000004375 | Only trial registry entries; study terminated, no results published |
| Lee 2011 | Non‐randomised study design |
| Lipton 1999 | Population with bone metastases |
| N03CC | Wrong comparison (upfront vs delayed bisphosphonate use) |
| Nakatsukasa 2019 | Non‐randomised study design |
| NCT00196859 | Wrong comparison (analyses the effect of capecitabine rather than ibrandronate) |
| NCT00202059 | Wrong comparison (bisphosphonates vs. physical activity) |
| NCT00247650 | Only trial registry entries; study terminated, no results published |
| NCT00295867 | Non‐randomised study design |
| NCT00324714 | Only trial registry entries; study terminated, no results published |
| NCT00873808 | Study withdrawn |
| NCT02051218 | Wrong comparison (compares 2 different doses of denosumab) |
| NCT03358017 | Zoledronic acid + atorvastatin vs. no treatment: concomitant medication not identical |
| NCT03664687 | Wrong comparison (compared 2 different doses of bisphosphonate) |
| NCT05164952 | Wrong comparator: upfront vs. delayed bisphosphonate use |
| PERIDENO | Only trial registry entries; study terminated, no results published |
| Purohit 1995 | Subgroup BC not separately reported |
| Ralston 1997 | Population without bone metastases not reported |
| Rizzoli 1996 | Metastases after treatment reported |
| Smith 1999 | Population with bone metastases |
| SUCCESS | Wrong comparison (3 years vs. 5 years of bisphosphonate use) |
| Takahashi 2012 | Wrong comparison (upfront vs delayed bisphosphonate use) |
| Toulis 2016 | Non‐randomised study design |
| Van Hellemond 2019 | Non‐randomised study design for bisphosphonate use |
| Vinholes 1995 | Only abstract given; not clear if subgroup BC reported |
| Vriens 2017 | Summary of 2 studies; non‐randomised study design |
| Z‐FAST 2012 | Wrong comparison (upfront vs delayed bisphosphonate use) |
| ZO‐FAST 2013 | Wrong comparison (upfront vs delayed bisphosphonate use) |
| ZOLMENO 2017 | Wrong comparison (upfront vs delayed bisphosphonate use) |
BC: breast cancer
Characteristics of studies awaiting classification [ordered by study ID]
ACTRN12616001051437.
| Methods | Setting:
Recruitment period:
Length of study:
Length of follow‐up:
|
| Participants | Eligibility criteria:
Exclusion criteria:
Mean age: not reported Menopausal status:
RANKL status:
Hormone receptor status:
Human epidermal growth factor receptor 2 status:
Participants randomised: not reported
Country of participants:
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions:
Cancer treatment during study period:
|
| Outcomes | Primary:
Secondary:
|
| Notes | Funding sources:
Conflicts of interest:
|
ADAIDO.
| Methods | Setting: ‐ controlled, randomised, open Recruitment period: ‐ not reported Length of study: ‐ not reported Length of follow‐up: ‐ not reported |
| Participants | Eligibility criteria: ‐ maximum age: 75 years; ‐ minimum age: 18; ‐ postmenopausal women; ‐ treated for breast cancer with AI (letrozole, anastrozole, examestane) for at least two years; ‐ denosumab stopped at least 4 months before ICF signature, after at least a 2‐year treatment duration to prevent/treat the CTIBL (in primary prevention); ‐ affected with osteopenia, diagnosed as femoral T‐scores by DXA performed within the last 36 months from the AI discontinuation, within the range ‐1.0 to ‐2.4; ‐ with low risk fracture, defined as a 10‐year predicted fracture risk < 20% for major osteoporotic fractures and < 3% for femur fractures; ‐ stopping AI treatment within 6 months from the last denosumab administration; ‐ current supplementation with calcium and vitamin D (according to clinical routine practice). Exclusion criteria: ‐ age > 75 years; ‐ BMI < 20 or > 35 kg/m2; ‐ osteoporosis diagnosed as femoral T‐score by DXA ‐2.5; ‐ clinical or morphometric fractures detected by thoracic and lumbar Rx; ‐ recent invasive dental surgery with no complete healing at the moment of inclusion; ‐ type 1 diabetes mellitus; ‐ poorly controlled type 2 diabetes mellitus (HbA1c > 7.5%, 58 mmol/mol); ‐ rheumatoid arthritis; ‐ current steroid or immunosuppressive therapies; ‐ active endocrinopathies (except hypothyroidism with good hormonal balance); ‐ chronic alcoholism; ‐ chronic kidney disease stages 4‐5 according to CKD‐EPI (eGFR < 30 mL/min) (test performed as routine); ‐ hepatic cirrhosis, HCV and HBV‐related chronic hepatitis, autoimmune hepatitis (autodeclaration); ‐ previous treatments with amino‐bisphosphonates (except previous treatment with clodronate); ‐ known history of reflux oesophagitis; ‐ other known contraindications to bisphosphonates. Mean age: ‐ not reported Menopausal status: ‐ not reported RANKL‐status: ‐ not reported Hormone receptor status: ‐ not reported Participants randomised: ‐ total: 190 Country of participants: Italy |
| Interventions | Bone‐modifying treatment (dose) ‐ Intervention: alendronate 70 mg; ‐ Control: no treatment. Previous bone‐modifying interventions: ‐ denosumab/+ AI |
| Outcomes | Primary: ‐ percent changes in BMD measured at lumbar and femoral sites at 12 months with respect to basal conditions Secondary: ‐ changes in serum bone‐specific alkaline phosphatase activity, CTX, P1NP and FGF23; ‐ changes in BMD measured at lumbar and femoral sites at 24 months with respect to basal conditions; ‐ occurrence of new fragility fractures at any sites anamnestically recorded at 3, 12 and 24 months visits; ‐ detection of new morphometric vertebral fractures by thoracic and lumbar Rx at 12 and 24 months of follow‐up; ‐ incidence of adverse events/clinical and morphometric fractures in treated and untreated patients. |
| Notes | Conflicts of interest: ‐ not reported |
ChiCTR‐TRC‐09000408.
| Methods | Setting:
Recruitment period:
Length of study:
Length of follow‐up:
|
| Participants | Eligibility criteria:
Exclusion criteria:
Mean age: not reported Menopausal status:
RANKL status:
Hormone receptor status:
Human epidermal growth factor receptor 2 status:
Participants randomised: not reported
Country of participants:
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
|
| Outcomes | Primary:
Secondary:
|
| Notes |
El‐Ibrashi 2016.
| Methods | Setting: ‐ randomised Recruitment period: ‐ April 2005 to March 2012 Length of study: ‐ not reported Length of follow‐up: ‐ 98.4 months (median) |
| Participants | Eligibility criteria: ‐ premenopausal females who had undergone primary surgery for stage I, II ER +ve and/or PR +ve breast cancer with < 10 positive lymph nodes Exclusion criteria: ‐ not reported Mean age: ‐ not reported Menopausal status: ‐ premenopausal RANKL‐status: ‐ not reported Hormone receptor status: ‐ not reported Participants randomised: ‐ total: 300 Country of participants: ‐ not reported |
| Interventions | Bone‐modifying treatment (dose) ‐ intervention: zoledronic acid 4 mg every 6 months; ‐ control: no treatment. Other treatment: ‐ standard tamoxifen 20 mg/day for five years plus goserelin 3.6 mg every 28 days |
| Outcomes | Primary: ‐ toxicity; ‐ disease‐free survival (DFS); Secondary: ‐ overall survival (OS) |
| Notes | Conflicts of interest: ‐ not reported |
Gunmalm 2018.
| Methods | Setting:
Recruitment period:
Length of study:
Length of follow‐up:
|
| Participants | Eligibility criteria:
Exclusion criteria:
Mean age: 66.7 years Menopausal status:
RANKL status:
Hormone receptor status:
Human epidermal growth factor receptor 2 status:
Participants randomised: not reported
Country of participants:
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Cancer treatment during study period:
|
| Outcomes | Primary:
|
| Notes | Not yet verified whether it is an RCT design or not |
NCT02595138.
| Methods | Setting:
Recruitment period:
Length of study:
Length of follow‐up:
|
| Participants | Eligibility criteria:
Exclusion Criteria:
Mean age: not reported Menopausal status:
RANKL status:
Hormone receptor status:
Human epidermal growth factor receptor 2 status:
Participants randomised:
Country of participants:
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions:
Cancer treatment during study period:
|
| Outcomes | Primary:
Secondary:
|
| Notes |
Rhee 2011.
| Methods | Setting:
Recruitment period:
Length of study:
Length of follow‐up:
|
| Participants | Eligibility criteria:
Exclusion criteria: not reported Mean age:
Menopausal status:
RANKL status:
Hormone receptor status:
Human epidermal growth factor receptor 2 status:
Participants randomised:
Country of participants:
|
| Interventions | Bone‐modifying treatment (dose, frequency, length)
|
| Outcomes | Primary outcome:
|
| Notes | It is not clear whether this study is actually a subpopulation of Rhee (2013). |
RISAROS 2009.
| Methods | Setting:
Recruitment period:
Length of study:
Length of follow‐up:
|
| Participants | Eligibility Criteria:
Exclusion Criteria:
Mean age: not reported Menopausal status:
RANKL status:
Hormone receptor status:
Human epidermal growth factor receptor 2 status:
Participants randomised:
Country of participants:
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions:
Cancer treatment during study period:
|
| Outcomes | Primary:
Secondary:
|
| Notes |
Xu 2010.
| Methods | Setting:
Recruitment period:
Length of study:
Length of follow‐up:
|
| Participants | Eligibility criteria:
Mean age:
Menopausal status:
RANKL status:
Hormone receptor status:
Human epidermal growth factor receptor 2 status:
Participants randomised
|
| Interventions | Bone‐modifying treatment
Previous bone‐modifying interventions:
Cancer treatment during study period:
|
| Outcomes | Primary endpoint:
Secondary endpoints:
|
| Notes | Conflicts of interest:
|
Yonehara 2007.
| Methods | Setting:
Recruitment period:
Length of study:
Length of follow‐up:
|
| Participants | Eligibility criteria:
Exclusion criteria:
Mean age:
Menopausal status: 100% postmenopausal RANKL status:
Hormone receptor status:
Human epidermal growth factor receptor 2 status:
Participants randomised:
Country of participants:
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions:
Cancer treatment during study period:
|
| Outcomes | Primary:
Secondary:
|
| Notes |
AI: aromatase inhibitor ALT: alanine transaminase ANC: absolute neutrophil count AST: aspartate aminotransferase BMD: bone mineral density CISH: chromogenic in situ hybridisation CKD‐EPI: Chronic Kidney Disease Epidemiology Collaboration CTIBL: cancer treatment induced bone loss CTX: C‐telopeptide DFS: disease‐free survival DXA: dual‐energy x‐ray absorptiometry ECOG: Eastern Cooperative Oncology Group eGFR: estimated glomerular filtration rate ER: oestrogen receptor FGF23: fibroblast growth factor 23 FISH: fluorescence in situ hybridisation FSH: follicle‐stimulating hormone HbAIc: glycated haemoglobin HBV: hepatitis B virus HCV: hepatitis C virus HER2: human epidermal growth factor receptor Hgb: haemoglobin ICF: informed consent form IHC: immunohistochemistry INR: international normalised ratio IV: intravenous LS: lumbar spine LVI: lymphovascular invasion OS: overall survival PINP: procollagen type I N‐terminal peptide PR: partial response RANKL: receptor activator of nuclear factor kappa‐Β ligand RCT: randomised controlled trial SD: standard deviation ULN: upper limit of normal
Characteristics of ongoing studies [ordered by study ID]
D‐BIOMARK.
| Study name | An open label biomarker pilot study of the antitumoral activity of denosumab in the preoperative setting of early breast cancer Biomarker study of the antitumoral activity of denosumab in the pre operative setting of early breast cancer |
| Methods | Setting:
Recruitment period:
Length of study:
Length of follow‐up:
|
| Participants | Eligibility criteria:
Exclusion criteria:
Mean age: not reported
Menopausal status:
RANKL status:
Hormone receptor status:
Human epidermal growth factor receptor 2 status:
Participants randomised: not reported
Country of participants:
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions:
Cancer treatment during study period:
|
| Outcomes | Primary:
Secondary:
|
| Starting date | 05/2018 |
| Contact information | Contact: Eva González Suárez, PhD egsuarez@idibell.cat Contact: Silvia Casellas +34934515250 s.casellas@anagram‐esic.com |
| Notes | Funding sources: Conflicts of interest:
|
ENDEAVOR.
| Study name | A multicenter, randomised, comparative study regarding the efficacy of denosumab on normal bone mineral density in women receiving adjuvant aromatase inhibitors for early breast cancer (ENDEAVOR trial) |
| Methods | Setting:
Recruitment period:
Length of study:
Length of follow‐up:
|
| Participants | Eligibility criteria:
Exclusion criteria:
Mean age:
Menopausal status:
RANKL status:
Hormone receptor status:
Human epidermal growth factor receptor 2 status:
Participants randomised: not reported
Country of participants:
|
| Interventions | Bone‐modifying treatment (dose, application, frequency, length)
Previous bone‐modifying interventions:
Cancer treatment during study period:
|
| Outcomes | primary:
Secondary:
|
| Starting date | 04/2017 |
| Contact information | Hisako Ono, PhD, hisako‐o@koto.kpu‐m.ac.jp Tetsuya Taguchi, PhD, ttaguchi@koto.kpu‐m.ac.jp |
| Notes | Funding sources:
Conflicts of interest:
|
AI: aromatase inhibitor ALT: alanine transaminase AST: aspartate aminotransferase BMD: bone mineral density BSAP: bone‐specific alkaline phosphatase CA: calcium CTCAE: common terminology criteria of adverse events DXA: dual‐energy x‐ray absorptiometry ECOG: Eastern Cooperative Oncology Group EQ‐5D‐5L: European Quality of Life 5 Dimensions 5 Level version ER: oestrogen receptor FSH: follicle‐stimulating hormone GOT: glutamic oxaloacetic transaminase GPT: glutamate pyruvate transaminase IHC: immunohistochemical ONJ: osteonecrosis of the jaw PgR: progesterone receptor PS: performance status QOL: quality of life RANKL: receptor activator of nuclear factor kappa‐Β ligand SD: standard deviation TNBC: triple‐negative breast cancer YAM: young adult females
Differences between protocol and review
Comparisons
As currently only one RANKL‐inhibitor (denosumab) is evaluated in randomised controlled studies, we could not assess the following comparison of two different RANKL‐inhibitors: one type of RANKL‐inhibitor versus another type of RANKL‐inhibitor.
Outcomes
1. We planned to analyse the outcome 'proportion of participants with pain response' and therefore extract data from pain scores and analgesic consumption. We also planned to analyse the adverse event 'bone pain right after administration'. When extracting data from studies, we realised that 'bone pain' was reported as an adverse event and therefore analysed this outcome. None of the studies reported on 'proportion of participants with pain response' which, in the case of non‐metastasised patients, would also be an outcome of interest, when analysing the effects of bisphosphonates and RANK‐L inhibitors. Therefore, we did not focus on pain response but rather bone pain as an adverse event in this analysis.
2. We considered adverse events independent of their grade. We planned to only focus on grade 3‐4 adverse events, but then realised that most studies did not report the grade of the occurring adverse event. Therefore, we decided to analyse adverse events independent of the grade.
3. Initially we planned to analyse the outcomes: bone mineral density, quality of life and survival outcomes at four time points of follow‐up. However, because of data availability, we did not analyse these outcomes at different time points but at longest follow‐up.
Grading
We initially planned to use the GRADEpro GDT online program to assess the certainty of the evidence. Since the program is not designed to evaluate the results of network meta‐analysis, we created Summary of Findings tables manually.
Subgroup analyses
We planned to conduct the following subgroup analyses on all efficacy and safety outcomes for network meta‐analysis, but unfortunately data were not available to perform them.
Participants receiving endocrine therapy versus those not receiving endocrine therapy, or hormone receptor (HR)‐positive versus HR‐negative, also compared to human epidermal growth factor receptor 2 (HER2)‐positive. Because of lack of data availability, this subgroup analysis could not be performed.
Type of endocrine therapy (e.g. tamoxifen alone versus aromatase inhibitor alone versus ovarian function suppression (OFS) in combination with tamoxifen versus OFS in combination with aromatase inhibitor). Because of lack of data availability, this subgroup analysis could not be performed.
Type of bone‐modifying agent (bisphosphonate versus RANKL inhibitor). Since this corresponds to the main analysis using network meta‐analysis, no subgroup analysis was carried out.
Bisphosphonates of the first (non‐amino bisphosphonates: etidronate, clodronate) and second generation (amino‐bisphosphonates: alendronate, risedronate, pamidronate, ibandronate, zoledronate) were to be assessed, independently. Since this would only exclude clodronate from the network, we did not conduct this analysis.
Duration of bone‐modifying intervention: one year versus two‐to‐five years. Since in most studies, duration of bone‐modifying agents was longer than one year, we did not conduct this subgroup analysis.
Participants with high risk of relapse (defined as receiving chemotherapy additionally to endocrine therapy) versus participants only receiving endocrine therapy. Because of lack of data availability, this subgroup analysis could not be performed.
Participants with status N1, N2, N3 versus status N0. Because of lack of data availability, this subgroup analysis could not be performed.
Contributions of authors
Anne Adams: review development, screening, data extraction, risk of bias assessment, grading, statistical evaluation, interpretation of results, writing of the review
Tina Jakob: review development, screening, data extraction, risk of bias assessment, writing of the review
Alessandra Huth: screening, risk of bias assessment, writing of the review
Ina Monsef: search strategy development
Marco Kopp: data extraction, risk of bias assessment
Julia Caro‐Valenzuela: data extraction, risk of bias assessment
Moritz Ernst: screening, methodological expertise, interpretation of results
Achim Wöckel: clinical expertise, interpretation of results
Nicole Skoetz: review development, methodological expertise, screening, data extraction, grading, interpretation of results
Sources of support
Internal sources
-
University Hospital Cologne, Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Germany
Provision of the offices, including technical equipment
-
Institute of Medical Statistics and Computational Biology, Germany
Support with statistical expertise
External sources
-
Federal Ministry of Education and Research, Germany
Grant number: 01KG1806
Declarations of interest
Action: edits to be checked by the author team
Anne Adams: awarded a grant from the Federal Ministry of Education and Research to perform this systematic review; this did not lead to a conflict of interest, as she is a statistical editor with Cochrane Haematology, but was not involved in the editorial process for this review.
Tina Jakob: awarded a grant from the Federal Ministry of Education and Research to perform this systematic review; this did not lead to a conflict of interest.
Ina Monsef: none known; she is the Information Specialist of Cochrane Haematology, but was not involved in the editorial process for this review.
Alessandra Huth: none known.
Marco Kopp: none known.
Julia Caro‐Valenzuela: none known; a member of Cochrane Haematology, but was not involved in the editorial process for this review.
Moritz Ernst: none known; he is a member of Cochrane Haematology, but was not involved in the editorial process for this review.
Achim Wöckel: received consultancy fees to provide advice on metastatic breast cancer topics for Amgen (until end of 2020), Eli Lilly (ongoing), Hoffman‐La Roche (ongoing), Novartis (ongoing) and Pfizer (ongoing). No relevant relationships were declared in relation to early breast cancer topics.
Nicole Skoetz: none known; she is Co‐ordinating Editor of Cochrane Haematology, but was not involved in the editorial process for this review.
New
References
References to studies included in this review
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ANZAC 2009 {published data only}
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ARIBON 2012 {published data only}
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Cohen 2008 {published data only}
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Delmas 1997 {published data only}
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NATAN 2016 {published data only}
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NSABP B‐34 2012 {published data only}CDR0000068426
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N03CC {published data only}
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D‐BIOMARK {published data only}
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