Abstract
Cardiovascular disease has been identified as one of the late complications of cancer therapy. The purpose of this study was to quantify the long‐term risk of cardiovascular mortality among lymphoma survivors relative to that of the general population. A systematic review and meta‐analysis were conducted. Articles were identified in November 2016 by searching EMBASE, MEDLINE, and CINAHL databases. Observational studies were included if they assessed cardiovascular mortality in patients with lymphoma who survived for at least 5 years from time of diagnosis or if they had a median follow‐up of 10 years. A pooled standardized mortality ratio (SMR) was estimated using a DerSimonian and Laird random‐effects model. The Q and I 2 statistics were used to assess heterogeneity. Funnel plots and Begg's and Egger's tests were used to evaluate publication bias. Of the 7450 articles screened, 27 studies were included in the systematic review representing 46 829 Hodgkin and 14 764 non‐Hodgkin lymphoma survivors. The pooled number of deaths attributable to cardiovascular disease among Hodgkin and non‐Hodgkin disease was estimated to be 7.31 (95% CI: 5.29‐10.10; I 2 = 95.4%) and 5.35 (95% CI: 2.55‐11.24; I 2 = 94.0%) times that of the general population, respectively. This association was greater among Hodgkin lymphoma survivors treated before the age of 21 (pooled SMR = 13.43; 95% CI: 9.22‐19.57; I 2 = 78.9%). There was a high degree of heterogeneity and a high risk of bias due to confounding in this body of literature. Lymphoma survivors have an increased risk of fatal cardiovascular events compared to the general population and should be targeted for cardiovascular screening and prevention campaigns.
Keywords: cardiovascular disease, Hodgkin, lymphoma, meta‐analysis, mortality, standardized mortality ratio, survivors, systematic review
1. BACKGROUND
The success and continued progress of cancer control strategies have resulted in a rise in the number of long‐term cancer survivors.1, 2 This growing patient population brings with it a set of unique healthcare needs that are becoming increasingly apparent. Mounting epidemiologic evidence suggests that individuals previously treated for cancer have an increased risk of several adverse health outcomes later in life which include secondary cancers, cardiovascular disease, fertility issues, sexual dysfunction, endocrine disorders, neurocognitive impairment, chronic fatigue, and various psychosocial problems.3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 Thoroughly understanding these late effects can help to inform ongoing efforts to develop and implement prevention and screening programs aimed at managing and mitigating the burden of chronic disease associated with cancer and its treatment.17, 18, 19, 20, 21, 22, 23, 24, 25
Hodgkin and non‐Hodgkin lymphoma are hematological malignancies common in both children and adults.1, 2 Advances in cancer treatment have led to improved survival rates for both Hodgkin and non‐Hodgkin lymphoma patients with current 5‐year survival estimates at approximately 85% and 65%, respectively.1, 2, 26, 27, 28, 29 Treatment for lymphoma typically involves chemotherapy alone or in combination with radiation, stem cell transplantation, or biologic therapies.1 Although efficacious in the control of lymphoma, some of these therapeutic options are now recognized as causative agents in cardiovascular disease.30, 31, 32 Given the increasing rates of survival, the younger age of onset, and the potential for cardiotoxic treatment effects, quantifying the long‐term risk of cardiovascular mortality among patients with lymphoma is a timely and important task.
Although there have been systematic reviews and meta‐analyses investigating the risk of metabolic syndrome33 and the prevalence of cardiovascular disease34 in lymphoma survivors, the long‐term risk of fatal cardiovascular outcomes remains unknown.35, 36, 37, 38, 39, 40 We conducted a systematic review and meta‐analysis of the observational epidemiologic literature to quantify the risk of cardiovascular mortality among lymphoma survivors relative to the general population. We hypothesized that lymphoma survivors would have an increased risk of dying from cardiovascular disease compared to the general population.
2. METHODS
A protocol for this review was published in the International Prospective Register of Systematic Reviews (PROSPERO) database (registration number: CRD42016052342). This systematic review follows the reporting guidelines proposed by the Meta‐analysis of Observational Studies in Epidemiology (MOOSE) group.41
2.1. Search strategy and information sources
EMBASE, MEDLINE, and CINAHL were searched from inception to 22 November 2016. Our search strategy combined terms from 4 themes related to our research question: (1) lymphoma, (2) long‐term survivor; (3) cardiovascular disease; and (4) observational study. Terms were searched as both keywords (title/abstract words) and subject headings as appropriate. The observational study designs filter included in this search was adapted from 2 previously published filters.42, 43 No restrictions were placed on language or year of publication. A detailed description of this systematic search strategy can be found in Table S1. Additional articles were identified by screening the references of the eligible studies identified from the database search and by manually searching top‐tiered journals that publish epidemiologic studies on cancer or heart disease. This search strategy was re‐run on 7 November 2017 to ensure that it was up‐to‐date at the time of manuscript submission.
2.2. Eligibility criteria
An assessment of study eligibility was independently undertaken by 2 reviewers in duplicate (DJB and AM). Eligibility was assessed in a two‐stage process. In the first stage, the title and abstracts of each study were screened. Studies were considered for full‐text review if they met all of the following criteria: (1) the study was published in a peer‐reviewed journal; (2) original data were presented; (3) human participants were under investigation; (4) the article was relevant to the objectives of this review. In the second stage, the remaining studies were assessed in their entirety. To be included in this review, an investigation had to satisfy all of the following criteria: (1) the population studied were patients with a diagnosis of and prior treatment for lymphoma; (2) the patients survived for a minimum of 5 years after diagnosis, the study had a median follow‐up of at least 10 years from the time of diagnosis, or the study presented risk estimates specific to individuals who survived for 5 years or more after their diagnosis; (3) there was a comparator group that was representative of the general population; (4) the outcomes reported included standardized mortality, risk, hazards, or odds ratios, or sufficient data were provided for their calculation; (5) the study was of a cohort, case‐control, nested case‐control, case‐cohort, or cross‐sectional design.
Agreement between the 2 reviewers was quantified using percent agreement and kappa statistics. Disagreements were resolved by consensus. In situations where 2 or more eligible studies were conducted on the same study population, the study with the largest sample size was retained in the review and those with smaller sample sizes were excluded.
2.3. Data extraction and study quality assessment
Data from eligible studies were extracted using a predefined data template. For each study, data regarding the study population (sex, median age at diagnosis, and lymphoma staging), study characteristics (country, median duration of follow‐up, number of survivors, and number of events), and treatment regimen (proportion receiving anthracycline chemotherapy, proportion receiving mantle field radiation, and treatment era) were extracted. When median values were not reported for relevant variables (age at diagnosis and duration of follow‐up), mean values were used. Study quality was assessed by a single reviewer using the Newcastle Ottawa Scale which ranges from 0 (low quality) to 9 (high quality) and appraises studies across 3 domains: (1) the selection of participants; (2) the control of confounding; (3) and the assessment of outcomes.44
2.4. Statistical analysis
The primary outcome of interest was the pooled standardized mortality ratio (SMR) describing the observed number of deaths due to cardiovascular disease among lymphoma survivors relative to the expected number of deaths due to cardiovascular disease in the general population. Given the inherent heterogeneity in the population of patients represented by this body of literature, all meta‐analyses were conducted using a DerSimonian and Laird random‐effects model. In situations where a study reported stratified estimates, a Mantel‐Haenszel fixed effects model was used to estimate a single overall effect estimate for that study. A cumulative meta‐analysis was conducted to understand how emerging studies on the association between lymphoma and treatment exposure and cardiovascular mortality changed the pooled estimate over time. Stratified meta‐analyses and meta‐regression were also conducted across strata defined by age at diagnosis, sex, treatment era, duration of follow‐up, and treatment regimen. The standard error (SE) of the log‐transformed SMR or hazard ratio (HR) was estimated using the following formula: SE (log HR) or SE (log SMR) = (log upper confidence interval − log lower confidence interval)/3.92.45
The degree of heterogeneity in the literature was assessed using the Q‐ and I 2‐statistics in tandem with a visual examination of the forest plots. Sources of heterogeneity were identified using subgroup analyses and meta‐regression. Publication bias was assessed qualitatively through a visual inspection of a funnel plot and quantitatively using Begg's rank correlation test and Egger's regression test for funnel plot asymmetry. The trim‐and‐fill method was used to explore the robustness of our results to publication bias. All analyses were carried out using the meta and metafor packages in RStudio version 1.0.143 with the exception of the subgroup and meta‐regression analyses which were performed using the metan and metareg commands in Stata version 14.2.
3. RESULTS
3.1. Study characteristics
The database search resulted in the identification of 7450 articles of which 27 were deemed to be eligible for inclusion (Figure 1).46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72 There was strong agreement between the 2 reviewers at both stages of the eligibility assessment. The percent agreement and the kappa statistics respectively were 93.2% and 0.62 for the first stage and 97.0% and 0.73 for the second stage.
Figure 1.

PRISMA flow diagram
In total, the evidence base consisted of 46 829 Hodgkin and 14 764 non‐Hodgkin lymphoma survivors treated between 1940 and 2006 who experienced a total of 1236 and 208 fatal cardiovascular events, respectively (Table 1). All studies were of a cohort design, and all reported a standardized mortality ratio except for the study by Kiserud et al,67 which presented a hazard ratio. Of the 27 articles included in this review, 12 (44.4%) originated from North America. The median duration of follow‐up was 13.8 years (range: 9.5‐24.3; IQR: 11.2‐18.2), median age at treatment was 25.8 years (range: 6.6‐56.8; IQR: 19.2‐31.1), and the percent of females in the study population was 45.1% (range: 0.0‐61.8; IQR: 42.6‐50.6).
Table 1.
Study characteristics of articles included in systematic review (by year of publication, n = 27)
| First author (year) | Cohort Designation | Country | Hodgkin | Non‐Hodgkin | Female (%) | Treatment Era (y) | Median age at diagnosis (y) | Median follow‐up (y) | Anthracycline exposurea (%) | Mantle field radiationb (%) | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Survivors (n) | Deaths (n) | Survivors (n) | Deaths (n) | |||||||||
| Henry‐Amar (1990)46 | EORTC Lymphoma Cooperative Groupc | Various | 1449 | 17 | — | — | 43.0 | 1963‐1986 | 31.2 | N/A | 8.0 | 100.0 |
| Hancock (1993)47 | Stanford University Medical Center | USA | 635 | 12 | — | — | 44.7 | 1961‐1991 | 15.4 | 10.3 | 12.9 | 83.8 |
| Hancock (1993)48 | Stanford University Medical Center | USA | 2232 | 88 | — | — | 41.0 | 1960‐1995 | 29.0 | 9.5d | 9.0 | 72.1 |
| Robertson (1994)49 | British National Register of Childhood Tumours | UK | 726 | 1 | 450 | 0 | N/A | 1971‐1985 | <15e | N/A | N/A | N/A |
| Mauch (1995)50 | Harvard‐affiliated hospitals | USA | 794 | 15 | — | — | 44.0 | 1969‐1988 | 24.0 | 11.0 | 5.4 | 99.6 |
| King (1996)51 | University of Rochester Hospital | USA | 326 | 7 | — | — | 50.6 | 1954‐1989 | 25.6 | 13.3 | N/A | 100.0 |
| Glanzmann (1998)53 | University Hospital of Zurich | Switzerland | 352 | 13 | — | — | N/A | 1964‐1992 | 33.8 | 11.2 | 26.7 | 100.0 |
| Brierley (1998)52 | Princess Margaret Hospital | Canada | 611 | 14 | — | — | 45.7 | 1973‐1984 | 31.0 | 11.0 | 2.3 | 80.4 |
| Hudson (1998)54 | St. Jude Children's Research Hospital | USA | 387 | 6 | — | — | 42.6 | 1968‐1990 | 14.4 | 15.1 | 28.2 | 68.0 |
| Reinders (1999)56 | Daniel den Hoed Cancer Center | Netherlands | 258 | 12 | — | — | 47.7 | 1965‐1980 | 28.0 | 14.2 | 0.0 | 100.0 |
| Shah (1999)57 | St. Jude Children's Research Hospital | USA | 106 | 3 | — | — | 41.5 | 1970‐1995 | 14.7 | 13.3 | 39.6 | 20.8 |
| Green (1999)55 | Roswell Park Cancer Institute | USA | 58 | 2 | 30 | 1 | 0.0 | 1960‐1989 | 10.9 | 24.1 | N/A | N/A |
| Eriksson (2000)59 | Radiumhemmet Karolinska Hospital | Sweden | 157 | 13 | — | — | 38.2 | 1972‐1985 | 33.0 | 16.0 | 45.2 | N/A |
| Avilés (2000)58 | National Medical Center Oncology Hospital | Mexico | 2980 | 39 | — | — | 54.5 | 1970‐1995 | 14.6f | 14.6 | N/A | 54.8 |
| Lee (2000)60 | University of Minnesota Hospital | USA | 210 | 16 | — | — | 46.7 | 1970‐1986 | 25.8f | 15.6 | N/A | 100.0 |
| Avilés (2001)61 | National Medical Center Oncology Hospital | Mexico | — | — | 714 | 7 | 57.4 | 1975‐1995 | 56.8 | N/A | 91.6 | 19.3 |
| Ng (2002)62 | Harvard‐affiliated hospitals | USA | 1080 | 17 | — | — | 45.7 | 1969‐1997 | 25.0 | 12.0 | 16.3 | 61.9 |
| Aleman (2003)63 | Netherland Hospitals | Netherlands | 1261 | 45 | — | — | 42.7 | 1965‐1987 | 26.0 | 17.8 | N/A | N/A |
| Avilés (2005)64 | National Medical Center Oncology Hospital | Mexico | 476 | 20 | — | — | 54.0 | 1988‐1996 | 39.6 | 11.5 | 100.0 | 0.0 |
| Swerdlow (2007)65 | Collaborative British Cohort Study | UK | 7033 | 166 | — | — | 38.1 | 1967‐2000 | 34.8f | 9.9c | 26.6 | 32.1 |
| Mertens (2008)66 | Childhood Cancer Survivor Study | USA | 2717 | 62 | 1524 | 13 | 44.7 | 1970‐1986 | 7.8f | N/A | N/A | N/A |
| Kiserud (2010)67 | Norwegian Radium Hospital | Norway | 557 | 36 | — | — | 43.0 | 1971‐1991 | 30.0 | 13.0 | 26.6 | 78.0 |
| Prasad (2012)68 | Finnish Cancer Registry | Finland | 1084 | 44 | 557 | 14 | 54.4 | 1966‐1999 | 19.2f | 20.9 | N/A | N/A |
| Kero (2015)69 | Finish Cancer Registry | Finland | 1693 | 75 | 923 | 27 | 43.7 | 1966‐2004 | 21.4f | N/A | N/A | N/A |
| Bhuller (2016)70 | British Columbia Cancer Registry | Canada | 442 | 8 | — | — | 50.0 | 1970‐1999 | 19.7f | 19.6 | N/A | N.A |
| Henson (2016)71 | Teenage and Young Adult Cancer Survivor Cohort | UK | 16 971 | 472 | 9467 | 129 | 61.8 | 1971‐2006 | 31.1f | 19.3 | N/A | N/A |
| Fidler (2017)72 | British Childhood Cancer Survivor Study | UK | 2234 | 33 | 1549 | 17 | 45.1 | 1940‐2006 | 6.6 | 23.0 | N/A | N/A |
Primarily doxorubicin but also included epirubicin and mitoxantone.
Including patients who received extended field or total nodal radiation.
Study conducted on participants from 4 clinical trials conducted by the European Organization for Research and Treatment of Cancer (EORTC) Lymphoma Cooperative Group.
Although the median follow‐up was less than 10 y, the study was included because it presented risk estimates stratified by follow‐up.
Study did not report the median age at diagnosis, but all participants were diagnosed with lymphoma before the age of 15 y.
Expected value calculated using available information.
3.2. Study quality assessment
The Newcastle Ottawa Scale score for each study is presented in Table S2. Most studies scored 6 points (n = 11; 40.7%) or 7 points (n = 11; 40.7%) of a possible 9 points on the Newcastle Ottawa Scale. No studies included in this review excluded individuals with a history of cardiovascular disease at baseline. Six studies did not have a representative cohort of lymphoma survivors as they were conducted on clinical trial participants. Every study controlled for age and sex, and 2 studies additionally controlled for ethnicity. Aside from age, sex, and ethnicity, no other potential confounders were adjusted for in any of the analyses. All studies had an adequate duration of follow‐up which we defined as 5 or more years since time of diagnosis. Five investigations did not report the way in which the outcome was captured; however, the outcome was objectively measured in the remaining studies. Fourteen studies did not describe the attrition of participants or had a loss‐to‐follow‐up greater than 5% with no description of the lost participants.
3.3. Meta‐analyses
The pooled number of deaths due to cardiovascular disease among Hodgkin and non‐Hodgkin lymphoma survivors was estimated to be 7.31 (95% CI: 5.29‐10.10) and 5.35 (95% CI: 2.55‐11.24) times greater than the expected number of deaths due to cardiovascular disease in the general population, respectively (Figure 2). The estimated pooled SMR for all lymphoma survivors was 6.84 (95% CI: 5.09‐9.20). There was no statistically significant difference in the pooled standardized mortality ratio for Hodgkin and non‐Hodgkin lymphoma survivors (meta‐regression P‐value = .43). As visualized in the forest plot of the cumulative meta‐analysis (Figure S1), studies have consistently reported an elevated risk of cardiovascular mortality among Hodgkin lymphoma survivors over time. Due to the limited number of investigations, a cumulative meta‐analysis of results from the non‐Hodgkin lymphoma studies was not conducted.
Figure 2.

Forest plot of the long‐term risk of cardiovascular disease mortality among lymphoma survivors
Meta‐analyses stratified by age at diagnosis (<21 years vs ≥21 years), sex (male vs female), duration of follow‐up (<10 years vs 10 to <15 years vs 15 to <20 years vs ≥20 years), treatment regimen (radiation only vs radiation and chemotherapy), and treatment era (<1980 vs ≥1980) were conducted (Table S3). Among Hodgkin lymphoma survivors who were diagnosed before the age of 21, the estimated SMR was 13.43 (95% CI: 9.22‐19.57) which was significantly different from the estimated SMR among Hodgkin lymphoma survivors who were 21 years of age or older at the time of diagnosis (pooled SMR = 3.33, 95% CI: 2.54‐4.35; meta‐regression P‐value = .001). This difference in the magnitude of effect by age at diagnosis was not observed in non‐Hodgkin lymphoma survivors (pooled SMRage at diagnosis < 21 years = 6.23, 95% CI: 3.35‐11.59; pooled SMRage at diagnosis ≥ 21 years = 6.61, 95% CI: 0.45‐96.59; meta‐regression P‐value = .97). Among Hodgkin lymphoma survivors, there was no statistically significant difference in the estimated SMRs by sex, duration of follow‐up, treatment regimen, or treatment era (meta‐regression P‐value > .35). These stratified meta‐analyses were not conducted among studies of non‐Hodgkin lymphoma survivors because of insufficient information.
3.4. Assessment of heterogeneity
The degree of heterogeneity in this evidence base was considerable (Q statistic < 0.01; I 2 statistic >94.0%). Potential sources of heterogeneity assessed through subgroup meta‐analyses and meta‐regression are presented in Table 2. Among studies of Hodgkin lymphoma, the median age at diagnosis (<21 years vs ≥21 years) and the percent of participants who had stage I or stage II lymphoma (<50% vs ≥50%) were statistically and clinically significant sources of heterogeneity (meta‐regression P‐value <.05). Among studies of non‐Hodgkin lymphoma, the maximum treatment era (<1997 vs ≥1997) and Newcastle Ottawa Scale selection score were identified as significant sources of heterogeneity (P < .05). Although not statistically significant, the magnitude of effect reported by studies with a total Newcastle Ottawa Scale of 7 (higher quality) tended to be smaller than studies with a total Newcastle Ottawa Scale of 6 or less (lower quality) for both Hodgkin and non‐Hodgkin lymphoma.
Table 2.
Assessment of heterogeneity in investigations of the long‐term risk of cardiovascular mortality among lymphoma survivors
| Hodgkin (N = 26) | Non‐Hodgkin (N = 7) | |||||
|---|---|---|---|---|---|---|
| Nb | SMR (95% C.I.)a | P‐valueb | Nb | SMR (95% C.I.)a | P‐valueb | |
| Demographics | ||||||
| Percent female | ||||||
| <50% | 18 | 6.17 (4.50‐8.48) | .99 | 3 | 5.15 (3.53‐7.50) | .58 |
| ≥50% | 6 | 11.19 (3.83‐32.72) | 4 | 5.17 (1.79‐14.99) | ||
| Median age at diagnosis | ||||||
| <21 years | 8 | 14.10 (8.64‐23.01) | .006 | 4 | 5.04 (3.63‐6.90) | .96 |
| ≥21 years | 16 | 4.96 (3.40‐7.24) | 3 | 5.34 (1.36‐20.87) | ||
| Percent stage I or II | ||||||
| <50% | 2 | 39.52 (26.79‐58.30) | .045 | 1 | — | — |
| ≥50% | 9 | 5.91 (3.51‐9.96) | 0 | — | ||
| Study characteristics | ||||||
| Country | ||||||
| North American | 12 | 7.66 (4.42‐13.27) | .85 | 2 | 6.63 (3.77‐11.67) | .69 |
| Other | 14 | 7.12 (4.42‐13.27) | 5 | 4.92 (2.09‐11.65) | ||
| Median follow‐up | ||||||
| <15 years | 14 | 7.02 (3.61‐13.68) | .72 | 0 | — | — |
| ≥15 years | 10 | 7.73 (5.29‐11.28) | 5 | — | ||
| Number of survivors | ||||||
| <1000 survivors | 15 | 8.84 (4.58‐17.05) | .33 | 4 | 7.89 (2.75‐22.68) | .29 |
| ≥1000 survivors | 11 | 5.92 (4.37‐8.02) | 3 | 3.48 (1.44‐8.40) | ||
| Number of deathsb | ||||||
| <20 deaths | 15 | 7.38 (4.56‐11.96) | .97 | 5 | 7.73 (3.66‐16.33) | .13 |
| ≥20 deaths | 11 | 7.28 (4.56‐11.63) | 2 | 2.44 (1.14‐5.21) | ||
| Treatment Regimen | ||||||
| Percent who received anthracyclinesb | ||||||
| <25% | 7 | 7.60 (5.30‐10.92) | .19 | 0 | — | — |
| ≥25% | 7 | 11.23 (3.64‐34.69) | 1 | — | ||
| Percent who received mantle field radiationb | ||||||
| <75% | 7 | 12.29 (4.37‐34.58) | .17 | 1 | — | — |
| ≥75% | 9 | 5.40 (3.13‐9.32) | 0 | — | ||
| Maximum treatment era | ||||||
| <1997 | 20 | 8.10 (5.08‐12.29) | .40 | 3 | 12.64 (3.89‐41.12) | .049 |
| ≥1997 | 6 | 5.13 (3.76‐6.99) | 4 | 3.25 (1.80‐5.87) | ||
| Newcastle Ottawa Scale | ||||||
| Selection score | ||||||
| 3 points | 22 | 6.82 (4.80‐9.71) | .40 | 6 | 3.86 (2.18‐6.84) | .03 |
| 2 points | 4 | 10.90 (3.04‐39.04) | 1 | 26.40 (14.31‐48.72) | ||
| Comparability score | ||||||
| 2 points | 2 | 3.49 (2.83‐4.31) | .20 | 0 | — | — |
| 1 point | 24 | 7.85 (5.52‐11.16) | 7 | — | ||
| Outcome score | ||||||
| 3 points | 12 | 6.45 (4.53‐9.18) | .52 | 4 | 3.75 (1.80‐7.83) | .23 |
| 1 or 2 points | 14 | 8.41 (4.55‐15.56) | 3 | 9.86 (1.89‐51.46) | ||
| Total score | ||||||
| 7 points | 11 | 5.87 (4.17‐8.28) | .26 | 4 | 3.75 (1.80‐7.83) | .23 |
| 6, 5, or 4 points | 15 | 9.05 (5.05‐16.21) | 3 | 9.86 (1.89‐51.46) | ||
Number of studies in subgroup.
Pooled standardized mortality ratio estimate (95% confidence intervals) of study estimates specific to subgroup from random‐effects model.
P‐value corresponds to the significance of an indicator variable for subgroup in a meta‐regression model.
Deaths caused by cardiovascular disease.
Primarily doxorubicin but also included epirubicin and mitoxantone.
Including patients who received extended field or total nodal radiation.
3.5. Publication bias
There was no evidence of statistically significant publication bias according to Begg's test (P‐value = .30) or Egger's test (P‐value = .12). However, the presence of funnel plot asymmetry (Figure S2) suggested a potential lack of small studies reporting small effect sizes. Therefore, we carried out the trim‐and‐fill procedure. Using this method, the number of studies estimated to be missing was zero and the overall effect estimate was unchanged. When repeating these analyses for studies on Hodgkin and non‐Hodgkin lymphoma survivors separately, we similarly found a lack of evidence that would suggest publication bias (data not shown).
4. DISCUSSION
Our findings suggest that both Hodgkin and non‐Hodgkin lymphoma survivors have an elevated risk of experiencing a fatal cardiovascular event compared to the general population. This association is unlikely to be spurious according to Bradford Hill's criteria for causation.73 The magnitude of the estimated effect along with the consistency of the association and its established temporality argue strongly against a spurious association and suggest a possible causal relationship. Further, previous studies have found a dose‐response relation between the amount of chest radiation and the cumulative dose of anthracyclines with cardiovascular disease risk which provides support for a biologic gradient.9, 74, 75, 76 Lastly, there is a high degree of biological plausibility with respect to the relation of interest. Anthracyclines are established cardiotoxic agents which are thought to impact cardiovascular function through the production of reactive oxygen species and other biologic mechanisms.32 Radiation therapy is known to cause direct damage to the heart and surrounding vasculature.30 In addition, exposure to anthracyclines and chest radiation have been associated with intermediate endpoints on the causal pathway such as atherosclerosis and reduced left ventricle function.77, 78
There is evidence that individuals treated for Hodgkin lymphoma before the age of 21 may be at a particularly high risk of cardiovascular mortality. Our stratified meta‐analyses showed that there were statistically and clinically significant differences in the estimated SMR by age at diagnosis. This age difference in the susceptibility to the cardiovascular effects of cancer treatment has been described in previous reviews, and there exist several plausible mechanisms.79, 80 Cancer treatment may impair normal cardiovascular development among children and young adults which could partially explain the observed age differences in the estimated effect. Alternatively, a developing cardiovascular system may be more susceptible to the cardiotoxic insults of cancer treatment. This disparity may also reflect differences in treatment regimens as participants treated during childhood would have received treatment in an earlier era when the dose of anthracyclines and the prevalence of mantle field radiation were higher compared to more recent eras.81 Cancer treatment could also indirectly affect the risk of cardiovascular disease mortality by impacting various behavioral and psychosocial determinants of health.82, 83 These indirect pathways may play a lesser role in mediating the relation between lymphoma treatment and cardiovascular disease risk among those treated later in life which could partially account for this heterogeneity. Regardless of the underlying mechanism, our results suggest that childhood Hodgkin lymphoma survivors are a population with a particularly high risk of experiencing a fatal cardiovascular event.
There exists considerable heterogeneity in this body of literature. Both age and lymphoma stage at the time of diagnosis were clinically and statistically significant sources of heterogeneity. There was also a suggestion that treatment characteristics and study quality were important sources of heterogeneity. As expected, larger effect estimates were reported in studies with a greater proportion of participants who received anthracyclines and in studies conducted before 1997 (see Table 2). The larger effect estimates among studies conducted prior to 1997 may be attributable to increased anthracycline and mantle field radiation exposure, as previously described, or may be due to the longer duration of follow‐up.81 Although not statistically significant, investigations where a greater proportion of patients received mantle field, extended field, or total nodal radiation tended to report smaller effect estimates. The unexpected direction of this trend may be artifactual or due to confounding at the individual level. Across all domains of the Newcastle Ottawa Scale, there was a consistent trend that larger effect estimates were reported in lower quality studies. The main reasons for the lower study quality were the predominant inclusion of patients from clinical trials, the failure to adjust for ethnicity, and the potential for bias due to loss‐to‐follow‐up.
Given the limitations in the literature, 3 important caveats should be considered when interpreting the results from this meta‐analysis. First, there is a risk of bias in our pooled effect estimates due to failure to adjust for potential confounders such as tobacco use, the presence of diabetes, and other risk factors associated with both lymphoma and cardiovascular disease.84, 85, 86 As the individual studies did not adjust for cardiovascular disease risk factors aside from age, sex, and ethnicity, the estimated pooled SMR may have overestimated the true SMR of cardiovascular mortality in this study population. However, it is unlikely that the observed association is entirely explained by residual confounding given the large magnitude of effect. Second, it is probable that a single pooled effect estimate inadequately represents the true underlying effect given the considerable heterogeneity of the literature. Among the studies included in this review, there was a lack of reporting of patient characteristics and a large degree of heterogeneity remains unexplained. It is therefore likely that the true underlying effect differs across some of the unreported demographic, behavioral, and treatment variables. Third, the results from this review may not be generalizable to individuals receiving more modern treatment modalities or to older adults diagnosed with lymphoma as most individuals in the evidence base were treated for lymphoma in the 20th century and were diagnosed with lymphoma before the age of 40.
5. CONCLUSIONS AND FUTURE DIRECTIONS
We have identified areas of future research based on the limitations of the evidence base. Future studies should attempt to control for potential confounders in addition to age, sex, and ethnicity. Investigators are encouraged to use directed acyclic graphs and g‐methods to separate the potential time‐varying confounding effects of psychosocial and lifestyle variables. In addition, future studies should strive to report a greater number of pre‐ and post‐treatment patient characteristics (eg, obesity, tobacco use, the presence of comorbidities), disease features (eg, subtype of Hodgkin and non‐Hodgkin lymphoma), and treatment variables (eg, the median treatment era, the proportion who received anthracyclines) with a higher level of granularity. Authors are also encouraged to assess and report on the extent to which loss‐to‐follow‐up may have biased their estimates and to consider exploring modification by age at diagnosis, stage, and prior history of cardiovascular disease. Lastly, the majority of research to date has focused on individuals diagnosed with lymphoma during childhood or young adulthood and there is a need for additional research that focuses on persons diagnosed with lymphoma later in life.
While clarifying the independent relation between prior lymphoma diagnosis and cardiovascular disease is important, the evidence to date suggests that patients with a history of lymphoma are at heightened risk for cardiovascular mortality. Even if the magnitude of the associations documented within this meta‐analysis are influenced by residual confounding and other sources of bias, healthcare providers should recognize that persons with a prior history of lymphoma, particularly if diagnosed with Hodgkin lymphoma before the age of 21, are at an increased risk of adverse cardiovascular outcomes. These findings highlight the importance of implementing cardiovascular surveillance, prevention, and screening interventions in lymphoma survivors.
CONFLICT OF INTERESTS
Doreen M. Rabi received travel reimbursement from Hypertension Canada. Matthew T. James has an investigator initiated grant funded by Amgen Canada. No other potential conflict of interests are declared.
Supporting information
ACKNOWLEDGMENTS
Devon J Boyne was supported by the University of Calgary Ruby Doctoral Recruitment Scholarship and the Faculty of Graduate Studies Doctoral Scholarship and is currently supported by a Queen Elizabeth II Graduate Scholarship. Christine M Friedenreich was supported by an Alberta Innovates Health Solutions Health Senior Scholar Award and by the Alberta Cancer Foundation Weekend to End Women's Cancers Breast Cancer Chair. Todd Wilson is supported by the Roy and Vi Baay Chair in Kidney Research Award.
Boyne DJ, Mickle AT, Brenner DR, et al. Long‐term risk of cardiovascular mortality in lymphoma survivors: A systematic review and meta‐analysis. Cancer Med. 2018;7:4801–4813. 10.1002/cam4.1572
Precis: Lymphoma survivors have an increased risk of fatal cardiovascular events compared to the general population, particularly if diagnosed with Hodgkin lymphoma before the age of 21. Persons with a prior history of lymphoma should be targeted for cardiovascular screening and prevention campaigns.
REFERENCES
- 1. Miller KD, Siegel RL, Lin CC, et al. Cancer treatment and survivorship statistics, 2016. CA Cancer J Clin. 2016;66:271‐289. [DOI] [PubMed] [Google Scholar]
- 2. Canadian Cancer Society's Advisory Committee on Cancer Statistics . Canadian Cancer Statistics 2017. Toronto, ON: Canadian Cancer Society; 2017. [Google Scholar]
- 3. Arden‐Close E, Eiser C, Pacey A. Sexual functioning in male survivors of lymphoma: a systematic review (CME). J Sex Med. 2011;8:1833‐1841. [DOI] [PubMed] [Google Scholar]
- 4. Bower JE. Cancer‐related fatigue – mechanisms, risk factors, and treatments. Nat Rev Clin Oncol. 2014;11:597‐609. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Chemaitilly W, Sklar CA. Endocrine complications in long‐term survivors of childhood cancers. Endocr Relat Cancer. 2010;17:R141‐R159. [DOI] [PubMed] [Google Scholar]
- 6. Cheung YT, Krull KR. Neurocognitive outcomes in long‐term survivors of childhood acute lymphoblastic leukemia treated on contemporary treatment protocols: a systematic review. Neurosci Biobehav Rev. 2015;53:108‐120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Franco VI, Lipshultz SE. Cardiac complications in childhood cancer survivors treated with anthracyclines. Cardiol Young. 2015;25(Suppl 2):107‐116. [DOI] [PubMed] [Google Scholar]
- 8. Iyer NS, Balsamo LM, Bracken MB, et al. Chemotherapy‐only treatment effects on long‐term neurocognitive functioning in childhood ALL survivors: a review and meta‐analysis. Blood. 2015;126:346‐353. [DOI] [PubMed] [Google Scholar]
- 9. Lipshultz SE, Franco VI, Miller TL, et al. Cardiovascular disease in adult survivors of childhood cancer. Annu Rev Med. 2015;66:161‐176. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Mitchell AJ, Ferguson DW, Gill J, et al. Depression and anxiety in long‐term cancer survivors compared with spouses and healthy controls: a systematic review and meta‐analysis. Lancet Oncol. 2013;14:721‐732. [DOI] [PubMed] [Google Scholar]
- 11. Robison LL, Hudson MM. Survivors of childhood and adolescent cancer: life‐long risks and responsibilities. Nat Rev Cancer. 2014;14:61‐70. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Rose SR, Horne VE, Howell J, et al. Late endocrine effects of childhood cancer. Nat Rev Endocrinol. 2016;12:319‐336. [DOI] [PubMed] [Google Scholar]
- 13. Simard S, Thewes B, Humphris G, et al. Fear of cancer recurrence in adult cancer survivors: a systematic review of quantitative studies. J Cancer Surviv. 2013;7:300‐322. [DOI] [PubMed] [Google Scholar]
- 14. Travis LB, Demark Wahnefried W, Allan JM, et al. Aetiology, genetics and prevention of secondary neoplasms in adult cancer survivors. Nat Rev Clin Oncol. 2013;10:289‐301. [DOI] [PubMed] [Google Scholar]
- 15. Travis LB, Ng AK, Allan JM, et al. Second malignant neoplasms and cardiovascular disease following radiotherapy. J Natl Cancer Inst. 2012;104:357‐370. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Wallis CJD, Mahar AL, Choo R, et al. Second malignancies after radiotherapy for prostate cancer: systematic review and meta‐analysis. BMJ. 2016;352:i851. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Armenian SH, Hudson MM, Mulder RL, et al. Recommendations for cardiomyopathy surveillance for survivors of childhood cancer: a report from the International Late Effects of Childhood Cancer Guideline Harmonization Group. Lancet Oncol. 2015;16:e123‐e136. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Barthel EM, Spencer K, Banco D, et al. Is the adolescent and young adult cancer survivor at risk for late effects? It depends on where you look. J Adolesc Young Adult Oncol. 2016;5:159‐173. [DOI] [PubMed] [Google Scholar]
- 19. Bower JE, Bak K, Berger A, et al. Screening, assessment, and management of fatigue in adult survivors of cancer: an American Society of Clinical oncology clinical practice guideline adaptation. J Clin Oncol. 2014;32:1840‐1850. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Brier MJ, Schwartz LA, Kazak AE. Psychosocial, health‐promotion, and neurocognitive interventions for survivors of childhood cancer: a systematic review. Health Psychol. 2015;34:130‐148. [DOI] [PubMed] [Google Scholar]
- 21. Chow EJ, Anderson L, Baker KS, et al. Late effects surveillance recommendations among survivors of childhood hematopoietic cell transplantation: a children's Oncology group report. Biol Blood Marrow Transplant. 2016;22:782‐795. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Demark‐Wahnefried W, Rogers LQ, Alfano CM, et al. Practical clinical interventions for diet, physical activity, and weight control in cancer survivors. CA Cancer J Clin. 2015;65:167‐189. [DOI] [PubMed] [Google Scholar]
- 23. El‐Shami K, Oeffinger KC, Erb NL, et al. American Cancer society colorectal cancer survivorship care guidelines. CA Cancer J Clin. 2015;65:428‐455. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Kremer LC, Mulder RL, Oeffinger KC, et al. A worldwide collaboration to harmonize guidelines for the long‐term follow‐up of childhood and young adult cancer survivors: a report from the International Late Effects of Childhood Cancer Guideline Harmonization Group. Pediatr Blood Cancer. 2013;60:543‐549. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Mayer DK, Nasso SF, Earp JA. Defining cancer survivors, their needs, and perspectives on survivorship health care in the USA. Lancet Oncol. 2017;18:e11‐e18. [DOI] [PubMed] [Google Scholar]
- 26. Pulte D, Gondos A, Brenner H. Ongoing improvement in outcomes for patients diagnosed as having non‐hodgkin lymphoma from the 1990s to the early 21st century. Arch Intern Med. 2008;168:469‐476. [DOI] [PubMed] [Google Scholar]
- 27. Pulte D, Jansen L, Gondos A, et al. Survival of patients with non‐Hodgkin lymphoma in Germany in the early 21st century. Leuk Lymphoma. 2013;54:979‐985. [DOI] [PubMed] [Google Scholar]
- 28. Pulte D, Jansen L, Gondos A, et al. Improved population level survival in younger Hodgkin lymphoma patients in Germany in the early 21st century. Br J Haematol. 2014;164:851‐857. [DOI] [PubMed] [Google Scholar]
- 29. Smith A, Crouch S, Lax S, et al. Lymphoma incidence, survival and prevalence 2004‐2014: sub‐type analyses from the UK/'s Haematological Malignancy Research Network. Br J Cancer. 2015;112:1575‐1584. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Jaworski C, Mariani JA, Wheeler G, et al. Cardiac complications of thoracic irradiation. J Am Coll Cardiol. 2013;61:2319‐2328. [DOI] [PubMed] [Google Scholar]
- 31. Tichelli A, Bhatia S, Socié G. Cardiac and cardiovascular consequences after haematopoietic stem cell transplantation. Br J Haematol. 2008;142:11‐26. [DOI] [PubMed] [Google Scholar]
- 32. Valcovici M, Andrica F, Serban C, et al. Cardiotoxicity of anthracycline therapy: current perspectives. Arch Med Sci. 2016;12:428‐435. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Li C, Liu P, Liu L, et al. Metabolic syndrome in hematologic malignancies survivors: a meta‐analysis. Med Oncol. 2015;32:422. [DOI] [PubMed] [Google Scholar]
- 34. Scholz‐Kreisel P, Spix C, Blettner M, et al. Prevalence of cardiovascular late sequelae in long‐term survivors of childhood cancer: a systematic review and meta‐analysis. Pediatr Blood Cancer. 2017;64:e26428. [DOI] [PubMed] [Google Scholar]
- 35. Hancock SL, Hoppe RT. Long‐term complications of treatment and causes of mortality after Hodgkin's disease. Semin Radiat Oncol. 1996;6:225‐242. [DOI] [PubMed] [Google Scholar]
- 36. Hodgson DC. Hodgkin lymphoma: the follow‐up of long‐term survivors. Hematol Oncol Clin North Am. 2008;22:233‐244. [DOI] [PubMed] [Google Scholar]
- 37. Hodgson DC. Late effects in the era of modern therapy for Hodgkin lymphoma. Hematol Am Soc Hematol Educ Prog. 2011;2011:323‐329. [DOI] [PubMed] [Google Scholar]
- 38. Ng AK. Late complications after treatment for Hodgkin lymphoma. Curr Hematol Malig Rep. 2008;3:119‐125. [DOI] [PubMed] [Google Scholar]
- 39. Ng AK, LaCasce A, Travis LB. Long‐term complications of lymphoma and its treatment. J Clin Oncol. 2011;29:1885‐1892. [DOI] [PubMed] [Google Scholar]
- 40. Ng AK, van Leeuwen FE. Hodgkin lymphoma: late effects of treatment and guidelines for surveillance. Semin Hematol. 2016;53:209‐215. [DOI] [PubMed] [Google Scholar]
- 41. Stroup DF, Berlin JA, Morton SC, et al. Meta‐analysis of observational studies in epidemiology: a proposal for reporting. JAMA. 2000;283:2008‐2012. [DOI] [PubMed] [Google Scholar]
- 42. University of Texas School of Public Health . Search Filters for Various Databases: Ovid Medline. http://libguides.sph.uth.tmc.edu/search_filters/ovid_medline_filters. Accessed November 10, 2016.
- 43. BMJ Clinical Evidence . Study Design Search Filters. http://clinicalevidence.bmj.com/x/set/static/ebm/learn/665076.html. Accessed November 10, 2016.
- 44. Wells G, Shea B, O'Connell D, et al. The Newcastle‐Ottawa Scale (NOS) for assessing the quality of nonrandomized studies in meta‐analyses. http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp. Accessed June 25, 2017.
- 45. Selecting studies and collecting data . In: Higgins JPT, Green S, eds. Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0. London, UK: The Cochrane Collaboration; 2011:7.7.7.3 http://handbook-5-1.cochrane.org. Updated March 2011. [Google Scholar]
- 46. Henry‐Amar M, Hayat M, Meerwaldt JH, et al. Causes of death after therapy for early stage Hodgkin's disease entered on EORTC protocols. EORTC Lymphoma Cooperative Group. Int J Radiat Oncol Biol Phys. 1990;19:1155‐1157. [DOI] [PubMed] [Google Scholar]
- 47. Hancock SL, Donaldson SS, Hoppe RT. Cardiac disease following treatment of Hodgkin's disease in children and adolescents. J Clin Oncol. 1993;11:1208‐1215. [DOI] [PubMed] [Google Scholar]
- 48. Hancock SL, Tucker MA, Hoppe RT. Factors affecting late mortality from heart disease after treatment of Hodgkin's disease. JAMA. 1993;270:1949‐1955. [PubMed] [Google Scholar]
- 49. Robertson CM, Hawkins MM, Kingston JE. Late deaths and survival after childhood cancer: implications for cure. BMJ. 1994;309:162‐166. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Mauch P, Kalish L, Marcus K, et al. Long‐term survival in Hodgkin's disease relative impact of mortality, second tumors, infection, and cardiovascular disease. Cancer J Sci Am. 1995;1:33‐42. [PubMed] [Google Scholar]
- 51. King V, Constine LS, Clark D, et al. Symptomatic coronary artery disease after mantle irradiation for Hodgkin's disease. Int J Radiat Oncol Biol Phys. 1996;36:881‐889. [DOI] [PubMed] [Google Scholar]
- 52. Brierley JD, Rathmell AJ, Gospodarowicz MK, et al. Late effects of treatment for early‐stage Hodgkin's disease. Br J Cancer. 1998;77:1300‐1310. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Glanzmann C, Kaufmann P, Jenni R, et al. Cardiac risk after mediastinal irradiation for Hodgkin's disease. Radiother Oncol. 1998;46:51‐62. [DOI] [PubMed] [Google Scholar]
- 54. Hudson MM, Poquette CA, Lee J, et al. Increased mortality after successful treatment for Hodgkin's disease. J Clin Oncol. 1998;16:3592‐3600. [DOI] [PubMed] [Google Scholar]
- 55. Green DM, Hyland A, Chung CS, et al. Cancer and cardiac mortality among 15‐year survivors of cancer diagnosed during childhood or adolescence. J Clin Oncol. 1999;17:3207‐3215. [DOI] [PubMed] [Google Scholar]
- 56. Reinders JG, Heijmen BJ, Olofsen‐van Acht MJ, et al. Ischemic heart disease after mantlefield irradiation for Hodgkin's disease in long‐term follow‐up. Radiother Oncol. 1999;51:35‐42. [DOI] [PubMed] [Google Scholar]
- 57. Shah AB, Hudson MM, Poquette CA, et al. Long‐term follow‐up of patients treated with primary radiotherapy for supradiaphragmatic Hodgkin's disease at St. Jude Children's Research Hospital. Int J Radiat Oncol Biol Phys. 1999;44:867‐877. [DOI] [PubMed] [Google Scholar]
- 58. Aviles A, Neri N, Cuadra I, et al. Second lethal events associated with treatment for Hodgkin's disease: a review of 2980 patients treated in a single Mexican institute. Leuk Lymphoma. 2000;39:311‐319. [DOI] [PubMed] [Google Scholar]
- 59. Eriksson F, Gagliardi G, Liedberg A, et al. Long‐term cardiac mortality following radiation therapy for Hodgkin's disease: analysis with the relative seriality model. Radiother Oncol. 2000;55:153‐162. [DOI] [PubMed] [Google Scholar]
- 60. Lee CK, Aeppli D, Nierengarten ME. The need for long‐term surveillance for patients treated with curative radiotherapy for Hodgkin's disease: University of Minnesota experience. Int J Radiat Oncol Biol Phys. 2000;48:169‐179. [DOI] [PubMed] [Google Scholar]
- 61. Avilés A, Díaz‐Maqueo JC, García EL, et al. Late lethal events in patients with diffuse large B cell lymphoma: a review of 714 patients treated in a single centre. Leuk Lymphoma. 2001;42:631‐637. [DOI] [PubMed] [Google Scholar]
- 62. Ng AK, Bernardo MP, Weller E, et al. Long‐term survival and competing causes of death in patients with early‐stage Hodgkin's disease treated at age 50 or younger. J Clin Oncol. 2002;20:2101‐2108. [DOI] [PubMed] [Google Scholar]
- 63. Aleman BM, van den Belt‐Dusebout AW, Klokman WJ, et al. Long‐term cause‐specific mortality of patients treated for Hodgkin's disease. J Clin Oncol. 2003;21:3431‐3439. [DOI] [PubMed] [Google Scholar]
- 64. Aviles A, Neri N, Nambo JM, et al. Late cardiac toxicity secondary to treatment in Hodgkin's disease. A study comparing doxorubicin, epirubicin and mitoxantrone in combined therapy. Leuk Lymphoma. 2005;46:1023‐1028. [DOI] [PubMed] [Google Scholar]
- 65. Swerdlow AJ, Higgins CD, Smith P, et al. Myocardial infarction mortality risk after treatment for Hodgkin disease: a collaborative British cohort study. J Natl Cancer Inst. 2007;99:206‐214. [DOI] [PubMed] [Google Scholar]
- 66. Mertens AC, Liu Q, Neglia JP, et al. Cause‐specific late mortality among 5‐year survivors of childhood cancer: the Childhood Cancer Survivor Study. J Natl Cancer Inst. 2008;100:1368‐1379. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67. Kiserud CE, Loge JH, Fossa A, et al. Mortality is persistently increased in Hodgkin's lymphoma survivors. Eur J Cancer. 2010;46:1632‐1639. [DOI] [PubMed] [Google Scholar]
- 68. Prasad PK, Signorello LB, Friedman DL, et al. Long‐term non‐cancer mortality in pediatric and young adult cancer survivors in Finland. Pediatr Blood Cancer. 2012;58:421‐427. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69. Kero AE, Jarvela LS, Arola M, et al. Late mortality among 5‐year survivors of early onset cancer: a population‐based register study. Int J Cancer. 2015;136:1655‐1664. [DOI] [PubMed] [Google Scholar]
- 70. Bhuller KS, Zhang Y, Li D, et al. Late mortality, secondary malignancy and hospitalisation in teenage and young adult survivors of Hodgkin lymphoma: report of the Childhood/Adolescent/Young Adult Cancer Survivors Research Program and the BC Cancer Agency Centre for Lymphoid Cancer. Br J Haematol. 2016;172:757‐768. [DOI] [PubMed] [Google Scholar]
- 71. Henson KE, Reulen RC, Winter DL, et al. Cardiac mortality among 200 000 five‐year survivors of cancer diagnosed at 15 to 39 years of age: the Teenage and Young Adult Cancer Survivor Study. Circulation. 2016;134:1519‐1531. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72. Fidler MM, Ruelen RC, Henson KE, et al. Population‐based long‐term cardiac‐specific mortality among 34,489 five‐year survivors of childhood cancer in Great Britain. Circulation. 2017;135:951‐963. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73. Hill AB. The environment and disease: association or causation? J R Soc Med. 2015;108:32‐37. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74. Cutter DJ, Schaapveld M, Darby SC, et al. Risk for valvular heart disease after treatment for Hodgkin lymphoma. J Natl Cancer Inst. 2015;107:djv008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75. Van Nimwegen FA, Schaapveld M, Cutter DJ, et al. Radiation dose‐response relationship for risk of coronary heart disease in survivors of Hodgkin lymphoma. J Clin Oncol. 2015;34:235‐243. [DOI] [PubMed] [Google Scholar]
- 76. Van Nimwegen FA, Schaapveld M, Janus CP, et al. Cardiovascular disease after Hodgkin lymphoma treatment: 40‐year disease risk. JAMA Intern Med. 2015;175:1007‐1017. [DOI] [PubMed] [Google Scholar]
- 77. Tsai H‐R, Gjesdal O, Wethal T, et al. Left ventricular function assessed by two‐dimensional speckle tracking echocardiography in long‐term survivors of Hodgkin's lymphoma treated by mediastinal radiotherapy with or without anthracycline therapy. Am J Cardiol. 2011;107:472‐477. [DOI] [PubMed] [Google Scholar]
- 78. Wethal T, Nedregaard B, Andersen R, et al. Atherosclerotic lesions in lymphoma survivors treated with radiotherapy. Radiother Oncol. 2014;110:448‐454. [DOI] [PubMed] [Google Scholar]
- 79. Lotrionte M, Biondi‐Zoccai G, Abbate A, et al. Review and meta‐analysis of incidence and clinical predictors of anthracycline cardiotoxicity. Am J Cardiol. 2013;112:1980‐1984. [DOI] [PubMed] [Google Scholar]
- 80. Mozdzanowska D, Woźniewski M. Radiotherapy and anthracyclines–cardiovascular toxicity. Contemp Oncol. 2015;19:93‐97. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81. Eloranta S, Lambert PC, Sjoberg J, et al. Temporal trends in mortality from diseases of the circulatory system after treatment for Hodgkin lymphoma: a population‐based cohort study in Sweden (1973 to 2006). J Clin Oncol. 2013;31:1435‐1441. [DOI] [PubMed] [Google Scholar]
- 82. Daniëls LA, Oerlemans S, Krol ADG, et al. Chronic fatigue in Hodgkin lymphoma survivors and associations with anxiety, depression and comorbidity. Br J Cancer. 2014;110:868‐874. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83. Wilson CL, Gawade PL, Ness KK. Impairments that influence physical function among survivors of childhood cancer. Children. 2015;2:1‐36. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84. Castillo JJ, Dalia S, Shum H. Meta‐analysis of the association between cigarette smoking and incidence of Hodgkin's Lymphoma. J Clin Oncol. 2011;29:3900‐3906. [DOI] [PubMed] [Google Scholar]
- 85. Castillo JJ, Mull N, Reagan JL, et al. Increased incidence of non‐Hodgkin lymphoma, leukemia, and myeloma in patients with diabetes mellitus type 2: a meta‐analysis of observational studies. Blood. 2012;119:4845‐4850. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86. Koene RJ, Prizment AE, Blaes A, et al. Shared risk factors in cardiovascular disease and cancer. Circulation. 2016;133:1104‐1114. [DOI] [PMC free article] [PubMed] [Google Scholar]
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