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Clinical Epidemiology logoLink to Clinical Epidemiology
. 2019 Oct 1;11:911–921. doi: 10.2147/CLEP.S219335

Differences In Gastrointestinal Safety Profiles Among Novel Oral Anticoagulants: Evidence From A Network Meta-Analysis

Wen-Qin Guo 1, Xie-Hui Chen 1, Xiao-Yuan Tian 1, Lang Li 2,
PMCID: PMC6778450  PMID: 31632152

Abstract

Background

There is no consensus at present regarding the differences in the risk of GI bleeding across various NOAC regimens. Therefore, we performed a network meta-analysis to compare the risk of gastrointestinal bleeding after different NOAC regimens.

Methods

PubMed, Cochrane, Web of Science, Clinicaltrial.gov and Clinicaltrialresults.org were searched for randomized controlled trials (RCTs) assessing gastrointestinal bleeding of all NOAC regimens from inception to January 2018. The primary endpoint was major gastrointestinal (MGI) bleeding. The meta-regression was performed to access the association between the MGI bleeding events and mortality. The network meta-analysis was carried out with the Bayesian random-effect model.

Results

A total of 25 RCTs, including 139,392 patients, were identified. Meta-regression analysis showed that MGI bleeding was correlated with fatal bleeding events (odds ratios [OR], 1.76; 95% confidence interval [CI], 1.13–2.77], P=0.015). The network meta-analysis results showed that compared to the conventional regimens, rivaroxaban was associated with increased risk of MGI bleeding (OR, 1.37; 95% credible interval [CrI], 1.00–1.85), but not the apixaban (OR, 0.77; 95% CrI, 0.53–1.07]), edoxaban (OR, 0.86; 95%CrI, 0.52–1.18) and dabigatran etexilate (OR, 1.22; 95% CrI, 0.82–1.69). Compared to rivaroxaban, apixaban (OR, 0.56; 95% CrI, 0.35–0.88) and edoxaban (OR, 0.62; 95% CrI, 0.35–0.96) showed a significantly lower risk of MGI bleeding. Apixaban had the highest probability of being the safest option with regard to the risk of MGI bleeding (89.1%), followed by edoxaban (77.4%), conventional therapy (51.4%), dabigatran etexilate (23.8%) and rivaroxaban (8.3%).

Conclusion

The risk of GI bleeding significantly varies among different NOAC regimens, and evidence shows that apixaban and edoxaban had the most favorable MGI bleeding safety profile, while rivaroxaban and dabigatran etexilate were the least safe.

Keywords: new oral anticoagulant, gastrointestinal bleeding, network meta-analysis

Background

New oral anticoagulants (NOACs) are effective in the prevention and treatment of thrombosis, and thus have become the main therapeutic drugs for the prevention of venous thromboembolism (VTE) and ischemic stroke prevention in atrial fibrillation (AF).1 The European Society of Cardiology (ESC) Guidelines for the Management of AF include a class IA recommendation, i.e. they recommend NOAC as the preferred drug for AF prevention instead of warfarin.2 The 10th edition of the American College of Chest Physicians (ACCP) Guidelines for VTE Disease also recommended NOAC over vitamin K antagonist (VKA) therapy for treating VTE (Grade 2B).3 However, none of the current guidelines have specific recommendations regarding the preferred NOAC regimen.

Recent studies have shown that the risk of gastrointestinal (GI) bleeding depends on the NOAC regimen. The Rivaroxaban Once Daily Oral Direct Factor Xa Inhibition Compared with Vitamin K Antagonism for Prevention of Stroke and Embolism Trial in Atrial Fibrillation (ROCKET AF) trial revealed that rivaroxaban significantly increased the risk of GI bleeding compared with warfarin.4 On the contrary, there is also evidence that the risk of GI bleeding in patients taking oral apixaban is lower than that in the warfarin group.5 However, no randomized-controlled trial (RCT) has directly compared the risk of GI bleeding following different NOAC regimens. Therefore, there is no consensus at present regarding the differences in the risk of GI bleeding across various NOAC regimens.

To clarify this issue, we used network meta-analysis, an emerging methodology which uses a common comparison group to make indirect comparisons of all interventions.6 All relevant clinical studies were reviewed, and the risk of GI bleeding in all NOAC regimens was analyzed using Bayesian network meta-analysis in order to provide guidance for clinical decision-making.

Methods

This study was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis statement.7

Data Sources And Searches

The PubMed, the Cochrane library, Web of Science, Clinicaltrial.gov, Clinicaltrialresults.org and reference lists of relevant papers were searched from inception to January 2018. The key words were as follows: “atrial fibrillation,” “deep vein thrombosis,” “pulmonary embolism,” “venous thromboembolism,” “novel oral anticoagulants” (including “edoxaban,” “apixaban,” “rivaroxaban,” “dabigatran etexilate”).

Study Selection

We included studies if: 1) the recruited population should be patients with atrial fibrillation, deep vein thrombosis or pulmonary embolism; 2) the intervention should be the NOACs, including edoxaban, apixaban, rivaroxaban, and dabigatran etexilate; 3) the comparator should be the NOACs or conventional therapy (including warfarin, heparin and placebo); 4) reported any occurrence of major gastrointestinal bleeding; 5) were randomized controlled trials (RCTs); 6) were published in English. We excluded studies with zero events in both groups because these comparisons provide no information on the treatment effect. Additionally, we excluded studies assessing NOAC in patients with acute coronary syndrome. We also excluded studies assessing NOAC in AF patients treated with ablation catheter or percutaneous coronary intervention. Because in these studies, other drugs (e.g. antiplatelet, VKA, etc.) known to cause MGI bleeding were used. If different results were noted in the same trial, we extracted the most recent data for analysis.

Data Extraction And Assessment Of Study Quality

Two independent investigators (W.Q.G., X.H.C.) reviewed the full text of eligible studies and extracted the information. To reach a consensus, a divergence of views was resolved by joint review of the literature. Conflicts will be resolved by the third investigator (L.L.). The Cochrane risk-of-bias tool was used to assess the study quality for RCT.8

Outcomes Measures

The primary outcome was an occurrence of major gastrointestinal bleeding, which was defined according to the individual trials.

Data Synthesis And Statistical Analysis

In the pairwise meta-analysis, we assessed all clinical outcomes by calculating odds ratios (ORs) and corresponding 95% confidence intervals (CIs). To account for unexplained heterogeneity, we performed the meta-analysis using a random-effects model (DerSimonian–Laird method).9 The Cochrane Q test and the inconsistency index (I2) test were used to assess statistical heterogeneity.10 I2 values less than 25% were indicative of low heterogeneity, while values between 25% and 50% were indicative of moderate heterogeneity, and values greater than 50% were indicative of high heterogeneity. The funnel plot method and Egger’s regression asymmetry test were used to determine publication bias if the number of studies was more than 10.11 We hypothesized that in the contemporary era of NOAC, major bleeding had an impact on mortality. To explore this hypothesis, we performed a meta-regression of the effects sizes of MGI bleeding on mortality.12 The ORs for treatment effects in individual trials were log-transformed before being used as independent variables in linear meta-regression analyses. The pairwise meta-analysis and meta-regression were performed using STATA software, version 12.0.

The network meta-analysis was carried out modelling the binary outcome with the Bayesian framework using the Markov chain Monte Carlo methods.13 The analysis was based on informative priors for effect sizes. All outcomes were expressed as ORs and its corresponding 95% credibility intervals (CrIs). Three chains were fit, yielding 300,000 iterations (100,000 per chain) generating the posterior distributions of model parameters. Convergence was checked by the Brooks-Gelman-Rubin diagnostic.14 We selected the random effect model because of the unexplained heterogeneity.13,15 Model fit was assessed with deviance information criterion.13 I2 statistic was used to investigate the possibilities of statistical heterogeneity.16 Consistency between direct and indirect estimates was appraised comparing consistency and inconsistency models.17 In addition, we evaluated rank probabilities by using surface under cumulative ranking (SUCRA) to determine the probability that each treatment is the best in terms of MGI bleeding outcome.18 To explore the association between risk of MGI bleeding and the length of study follow-up, we performed meta-regression where treatment effects relative to conventional therapy were allowed to depend on the study follow-up through a single interaction term.16 Additionally, we conducted subgroup analysis of the data by calculating the interaction term β.16 We considered the age group (mean age<65 versus ≥65);the proportion of male (<50% versus ≥50%); the indication for taking NOAC (VTE, AF and CAD/PAD) as the variables. We also plotted a comparison-adjusted funnel plot for the network meta-analysis, to detect the presence of any dominant publication bias in network meta-analysis.19 Bayesian frame network meta-analysis was conducted by means of gemtc, rjags in R software, version 3.2.0 (R Foundation for Statistical Computing) and NetMetaXL.20,21

Results

Study Selection And Characteristics

A flow diagram of the literature search and study selection process is shown in Figure 1. We found 1686 studies from a search of PubMed, the Cochrane library, Web of Science, Clinicaltrial.gov, Clinicaltrialresults.org and reference lists of relevant papers. The total number of article was 1061 after removing the duplicated records. Twenty-eight studies were included in quantitative synthesis after the full-text evaluation. There were four studies with zero MGI bleeding events in both groups. Finally, 24 studies with 25 RCTs involving 139,392 patients met the inclusion criteria.5,2244 One study was the report of two trials (RE-MEDY and RE-SONATE trial).40 The network plot of the comparisons is given in Figure 2. The following options were tested in the network: edoxaban, apixaban, rivaroxaban, dabigatran etexilate, and conventional therapy. The conventional therapy included warfarin, heparin, and placebo. Among these 25 RCTs, 7 compared apixaban with conventional therapy,5,2227 5 compared dabigatran etexilate with conventional therapy,34,39,40,43 6 compared edoxaban with conventional therapy28,3133,42,44 and 7 trial compared rivaroxaban with conventional therapy.29,30,35,36,38,41 The characteristics of the studies included in the analysis and their populations are listed in Table 1. Seven trials included the patients with AF,2628,32,38,39,41 1 trial included patients with CAD/PAD,30 and 17 trials included patients with VTE.5,2225,29,31,3337,40,4244 The mean age of patients ranged from 54 to 73 years. The proportion of male ranged from 14% to 81%. The follow-up time ranged from 12 days to 2.8 years. The definition of the Major bleeding in all the studies was according to the criterial of International Society on Thrombosis and Haemostasis for bleeding in nonsurgical patients45 (shown in Additional file: Table S1). An assessment of the risk of bias of the included studies is presented in Additional file: Figure S1. Overall, the included studies were found to have a low risk of bias.

Figure 1.

Figure 1

PRISMA flow diagram of study selection.

Figure 2.

Figure 2

The network plot for the Bayesian meta-analysis.

Notes: Solid lines represent direct evidence, and dashed lines represent the indirect evidence. The size of the nodes corresponds to the number of patients receiving the regimen, and the width of the lines corresponds to the number of studies comparing the connected treatments.

Table 1.

The Characteristic Of The Included Studies

Study Intervention Regimen In The CT Group Follow-Up Time Median Age (y) Male (%) Indication For Taking NOCA
ADVANCE 200924 Apixaban Enoxaparin 12 days 65.8 37.9 VTE
ADVANCE-2 201023 Apixaban Enoxaparin 12 days 67 27.5 VTE
ADVANCE-3 2010222 Apixaban Enoxaparin 35 days 60.8 46.7 VTE
AMPLIFY 20134 Apixaban Warfarin 6 months 57 58.7 VTE
AMPLIFY EXT 201325 Apixaban Placebo 12 months 56.7 57.4 VTE
ARISTOTLE 201126 Apixaban Warfarin 1.8 years 70 64.7 AF
AVERROES 201127 Apixaban Aspirin 1.1 years 70 58.5 AF
RE-COVER 200934 Dabigatran etexilate Warfarin 163 days 54.7 58.4 VTE
RE-COVER II 201443 Dabigatran etexilate Warfarin 164 days 54.9 60.6 VTE
RE-MEDY 201340 Dabigatran etexilate Warfarin 473 days 54.7 60.9 VTE
RE-SONATE 201340 Dabigatran etexilate Placebo 164 days 55.8 55.5 VTE
RELY 200939 Dabigatran etexilate Warfarin 2 years 71.5 63.6 AF
Chung, et al 201132 Edoxaban Warfarin 3 months 65.1 65.4 AF
ENGAGE-AF-TIMI47 201328 Edoxaban Warfarin 2.8years 72 61.9 AF
Fuji, et al 201431 Edoxaban Enoxaparin 12 days 76.1 20.5 VTE
Hakusai-VTE 201333 Edoxaban Warfarin 250 days 55.8 57.2 VTE
STARS E-3 201442 Edoxaban Enoxaparin 13 days 72.3 20.2 VTE
STARS J-V 201544 Edoxaban Enoxaparin 13 days 62.8 14.1 VTE
COMPASS 201730 Rivaroxaban Placebo 23 months 68.2 22 CAD/PAD
EINSTEIN 201029 Rivaroxaban Placebo 264 days 56.1 56.8 VTE
J-ROCKET AF 201238 Rivaroxaban Warfarin 30 months 71.1 80.6 AF
RECORD1 200836 Rivaroxaban Enoxaparin 35 days 63.2 44.5 VTE
RECORD2 200835 Rivaroxaban Enoxaparin 35 days 61.5 46.4 VTE
RECORD4 200937 Rivaroxaban Enoxaparin 12 days 64.6 34.9 VTE
ROCKET AF 201141 Rivaroxaban Warfarin 590 days 73 60.3 AF

Abbreviations: VTE, venous thromboembolism; AF, atrial fibrillation; CAD, coronary artery disease; PAD, peripheral artery disease; CT, conventional therapy.

The Results From Pair-Wise Meta-Analysis And Meta-Regression

The results of pairwise meta-analysis are displayed in Figure 3. The rivaroxaban was associated with an increased risk of MGI bleeding compared with the conventional therapy (OR 1.35, 95% CI: 1.03–1.77, P=0.030). The apixaban (OR=0.72, 95% CI: 0.46–1.12, P=0.144), edoxaban (OR=0.89, 95% CI: 0.68–1.15, P=0.360) and dabigatran etexilate (OR=1.17, 95% CI: 0.80–1.71, P=0.415) had a similar risk of MGI bleeding relative to the conventional therapy. The meta-regression showed a significant association between MGI bleeding and fatal bleeding mortality across individual studies (17 trials; OR: 1.76, 95% CI: 1.13–2.77, P=0.015) (Figure 4).

Figure 3.

Figure 3

Results of the pairwise meta-analysis.

Notes: Forest plots illustrating the results of a meta-analysis. The calculated summary effect demonstrates the superiority of various NOACs compared with conventional therapy in reducing the risk of major gastrointestinal bleeding. Horizontal lines represent the 95% CI of the effect size; solid diamonds indicate the mean effect size in single studies; hollow diamond shapes depict the summary effect size (diamond center) and the relative 95% CI (lateral edges); the black vertical lines represent the reference “1” line.

Figure 4.

Figure 4

Meta-regression analysis of the effect of MGI bleeding event rate on the effect of fatal bleeding event rate.

Abbreviation: MGI, major gastrointestinal.

The Results From Network Meta-Analysis

The results of network meta-analysis are shown in Table 2. Compared to conventional therapy, rivaroxaban was associated with increased risk of MGI bleeding (OR, 1.37; 95% CrI, 1.00–1.85). For apixaban (OR, 0.77; 95% CrI, 0.53–1.07), edoxaban (OR, 0.86; 95% CrI, 0.52–1.18) and dabigatran etexilate (OR,1.22; 95% CrI, 0.82–1.69), evidence was lacking for an increased risk of MGI bleeding compared with conventional therapy. Relative to rivaroxaban, the pooled results favored apixaban with an OR of 0.56 (95% CrI, 0.35–0.88), edoxaban with an OR of 0.62 (95% CrI, 0.35–0.96). No difference of MGI bleeding risk was observed between the rivaroxaban and dabigatran etexilate (OR, 1.34; 95% CrI, 0.71–1.85). Compared with dabigatran etexilate, apixaban (OR, 0.64; 95% CrI, 0.39–1.04) had a trend to reduce the MGI bleeding risk, although the difference was not significant. The risk of MGI bleeding was similar between the edoxaban and dabigatran etexilate (OR, 0.70; 95% CrI, 0.39–1.14). Also, the apixaban had a similar risk of MGI bleeding relative to the edoxaban (OR, 0.91; 95% CrI, 0.56–1.58).

Table 2.

Estimated Relative Treatment Effects As Odds Ratios (ORs) And Its Corresponding 95% Credibility Intervals (CrIs)

Treatment Apixaban Edoxaban Rivaroxaban Dabigatran Etexilate Conventional Therapy
Apixaban 1.09 (0.63–1.79) 1.79 (1.14–2.86) 1.56 (0.96–2.56) 1.30 (0.93–1.89)
Edoxaban 0.91 (0.56–1.58) 1.61 (1.04–2.86) 1.43 (0.88–2.56) 1.16 (0.85–1.92)
Rivaroxaban 0.56 (0.35–0.88) 0.62 (0.35–0.96) 0.88 (0.54–1.40) 0.73 (0.54–1.00)
Dabigatran Etexilate 0.64 (0.39–1.04) 0.70 (0.39–1.14) 1.34 (0.71–1.85) 0.82 (0.59–1.22)
Conventional Therapy 0.77 (0.53–1.07) 0.86 (0.52–1.18) 1.37 (1.00–1.85) 1.22 (0.82–1.69)

Notes: Comparisons should be read from left to right. The estimate is located at the intersection of the column-defining treatment and the row-defining treatment. An OR value higher than 1 favors the column-defining treatment. An OR value lower than 1 favors the row-defining treatment.

The probability ranking of each treatment is shown in Figure 5. Apixaban had the highest probability to be the safest option with regard to the risk of MGI bleeding (89.1%), followed by edoxaban (77.4%), conventional therapy (51.4%), dabigatran etexilate (23.8%) and rivaroxaban (8.3%).

Figure 5.

Figure 5

Graph showing probability ranking of each NOAC regimen for the risk of MGI bleeding.

Note: Rank 1 is best and rank 5 is worst.

The common heterogeneity SD was 0.15 (95% CrI 0.04–0.44). The global heterogeneity parameter I2 values were 40.3% (Additional file: Figure S2). The inconsistency cannot exist because the network is star-shaped. Bayesian meta-regressions showed no significant effect for age, sex of the patients, indications for NOAC and study follow-up (Additional file: Table S2). The comparison-adjusted funnel plots suggest that no publication bias was present (Additional file: Figure S3).

Discussion

Our network meta-analysis evaluated a large number of studies that compared the risk of GI bleeding following four different NOAC regimens. Our main findings were that 1) the MGI bleeding events were correlated with fatal bleeding events, 2) the extent of MGI bleeding differed among the individual NOAC regimens, with edoxaban and apixaban associated with a lower risk compared to rivaroxaban, and 3) apixaban was the safest option with regards to MGI bleeding, followed by edoxaban, dabigatran etexilate and rivaroxaban.

Current Understanding Of The Risk Of Post-NOAC GI Bleeding

Several studies have demonstrated that NOACs have better antithrombotic effect than warfarin and can significantly reduce mortality rate.26,4648 Therefore, NOAC has steadily replaced warfarin as the preferred drug for thrombosis prevention and treatment.2 Although the overall risk of bleeding is lower following NOAC than warfarin,49 the risk of GI bleeding is still higher with the former,50 suggesting that active prevention and treatment of post-NOAC GI bleeding are vital during clinical operations. The secondary analysis of the ROCKET-AF trial compared the risk of GI bleeding between patients treated with oral rivaroxaban and those treated with warfarin.4 Of the 14,236 AF patients enrolled in this trial, 684 had GI bleeding during follow-up, and rivaroxaban was associated with higher risk of GI bleeding than warfarin. Conversely, the Apixaban after the Initial Management of Pulmonary Embolism and Deep Vein Thrombosis with First-Line Therapy–Extended Treatment (AMPLIFY-EXT) trial showed that the risk of GI bleeding was significantly lower after oral apixaban than after warfarin.25 Since there is currently no head-to-head RCT that compares all NOAC regimens, there is no definite consensus on whether the risk of post-NOAC GI bleeding is different between the specific regimens.

Nevertheless, observational studies have yielded significant evidence. A large cohort study conducted by Abraham et al involving 31,574 patients was carried out to compare the risk of GI bleeding following dabigatran, rivaroxaban, and apixaban regimens.51 Compared to dabigatran or rivaroxaban, apixaban significantly reduced the risk of GI bleeding. Furthermore, the risk of GI bleeding was higher after rivaroxaban than after dabigatran, but not statistically significant. This finding is consistent with the results from our network meta-analysis. In our study, we found that the MGI bleeding risk was significantly higher with rivaroxaban (OR, 1.79; 95% CrI, 1.14–2.86) and non-significantly higher for dabigatran when relative to the apixaban (OR, 1.56; 95% CrI, 0.96–2.56). However, since large-scale clinical trials are complicated and cumbersome, Abraham et al were unable to include edoxaban into the comparison of intervention measures, and therefore the risk of post-edoxaban GI bleeding could not be evaluated. In our analysis, edoxaban and apixaban had lower risk of MGI bleeding than rivaroxaban, although no difference was observed between edoxaban and apixaban (OR=0.91, and the SUCRA values were 86.1% and 76.9%, respectively). Therefore, apixaban and edoxaban had the most favorable MGI bleeding safety profile. On the contrary, the MGI bleeding was similar between dabigatran and rivaroxaban, with comparable SUCRA values (28.0% and 10.9%, respectively), indicating that these two drugs had the least favorable MGI bleeding safety profile.

In addition, although several observational studies have compared the risk of GI bleeding after different NOAC regimens,5256 they have several limitations like inconsistent definition of GI bleeding, presence of selective bias due to the nature of study (observational), and lack of comparative study of all NOAC regimens. Therefore, it is difficult to compare the results of these studies with those from our network meta-analysis.

Several meta-analyses have in fact assessed the risk of GI bleeding following NOAC. Bai et al found that the risk of GI bleeding was higher after rivaroxaban compared to warfarin.57 Another meta-analysis including 28 real-word studies showed that rivaroxaban increased the risk of GI bleeding compared with warfarin, while apixaban decreased the risk.46 These results are consistent with our findings. It is important to note that these studies used traditional meta-analysis method and failed to compare the MGI bleeding among all NOAC regimens. Burr et al used network meta-analysis to assess the risk of bleeding following NOAC in 31 RCTs using GI bleeding event as the primary endpoint.58 The authors found that compared to warfarin and low-molecular weight heparin, NOAC did not increase the risk of GI bleeding. Similar to the aforementioned studies, the study of Burr et al did not further examine the difference in the risk of GI bleeding between various NOAC treatments. Our network meta-analysis includes all relevant studies on the risk of GI bleeding following NOACs and is currently the first large network meta-analysis including 25 RCTs and 139,392 patients. In addition, we assessed and compared the risk of MGI bleeding among the four commonly used clinical NOAC regimens. The results suggest that the risk of MGI bleeding was different between the individual NOACs. Previous studies reported relevant sex differences in the clinical effectiveness of antithrombotic therapy.59,60 However, in our research, the meta-regression showed that the sex was not related to the MGI bleeding of NOACs.

Clinical Implications Of The Study

This study evaluated the relationship between post-NOAC GI bleeding and death, as well as the difference in the risk of GI bleeding between the four NOAC regimens. According to our findings, GI bleeding was correlated with fatal bleeding following all NOAC treatments with an overall incidence rate of 1.6%, and the risk of GI bleeding differed across NOAC types. Of note, subgroup analysis showed that age, sex of the patients, and indications for NOAC had no effect on the risk of GI bleeding. As the number of NOAC users steadily increases around the world, the occurrence of post-NOAC GI bleeding must be carefully monitored. Additionally, in patients with MGI bleeding associated with the use of a factor Xa inhibitor, treatment with andexanet significantly reduced anti-factor Xa activity.61 However, most countries do not have such drugs, making it challenging to manage NOAC-associated MGI bleeding. Moreover, given that post-NOAC GI bleeding can affect the prognosis of patients, the risk of bleeding in such patients should be carefully evaluated. Since the risk of GI bleeding depends on the exact NOAC regimen, the drug with the lowest risk of bleeding should be selected for clinical use.

Limitations Of The Study

This study has several limitations. First, the incidence of small GI bleeding events was not analyzed due to lack of sufficient data. Nevertheless, since MGI bleeding events are more serious and often affect clinicians’ choice of drugs, it is of greater clinical significance to use MGI bleeding event as the primary endpoint. Second, most studies that were analyzed used other background drugs that might have lead to GI bleeding. However, our study only included RCTs in which the confounding factors had already been eliminated during randomization, and likely did not affect our evaluation of the relationship between NOAC and MGI bleeding. Third, given the nature of these RCTs, we could not obtain individual patient data and identify those who are at high risk of MGI bleeding based on demographic and/or clinical characteristics. Fourth, our study did not evaluate the efficacy of the four NOAC regimens. However, there are other network meta-analysis studies that have already confirmed that treatment efficacies of the four regimens were similar.62,63 Finally, our study did not carry out a cost-benefit analysis, and therefore we could not assess dosage from an economic perspective.

Conclusion

The risk of MGI bleeding significantly varies among the NOAC regimens, with apixaban and edoxaban having the most favorable MGI bleeding safety profile, and rivaroxaban and dabigatran being the least safe.

Abbreviations

NOAC, new oral anticoagulants; RCT, randomized controlled trials; MGI, major gastrointestinal; VTE, venous thromboembolism; AF, atrial fibrillation; VKA, vitamin K antagonist; CI, confidence interval; CrI, credible interval; OR, odds ratios; SUCRA, surface under cumulative ranking.

Availability of data and materials

All data generated or analyzed during this study are included in this article and its additional files.

Disclosure

The authors declare that they have no competing interests.

References

  • 1.Lane DA, Wood K. Cardiology patient page. Patient guide for taking the non-vitamin K antagonist oral anticoagulants for atrial fibrillation. Circulation. 2015;131(16):e412–e415. doi: 10.1161/CIRCULATIONAHA.114.012808 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Kirchhof P, Benussi S, Kotecha D, et al. 2016 ESC guidelines for the management of atrial fibrillation developed in collaboration with EACTS. Europace. 2016;18(11):1609–1678. doi: 10.1093/europace/euw295 [DOI] [PubMed] [Google Scholar]
  • 3.Kearon C, Akl EA, Ornelas J, et al. Antithrombotic therapy for VTE disease: CHEST guideline and expert panel report. Chest. 2016;149(2):315–352. doi: 10.1016/j.chest.2015.11.026 [DOI] [PubMed] [Google Scholar]
  • 4.Sherwood MW, Nessel CC, Hellkamp AS, et al. Gastrointestinal bleeding in patients with atrial fibrillation treated with rivaroxaban or warfarin: ROCKET AF trial. J Am Coll Cardiol. 2015;66(21):2271–2281. doi: 10.1016/j.jacc.2015.09.024 [DOI] [PubMed] [Google Scholar]
  • 5.Agnelli G, Buller HR, Cohen A, et al. Oral apixaban for the treatment of acute venous thromboembolism. N Engl J Med. 2013;369(9):799–808. doi: 10.1056/NEJMoa1302507 [DOI] [PubMed] [Google Scholar]
  • 6.Glenny AM, Altman DG, Song F, et al. Indirect comparisons of competing interventions. Health Technol Assess (Rockv). 2005;9(26):1-+. [DOI] [PubMed] [Google Scholar]
  • 7.Moher D, Liberati A, Tetzlaff J, Altman DG, Group P. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Intern Med. 2009;151(4):264–269, W264. doi: 10.7326/0003-4819-151-4-200908180-00135 [DOI] [PubMed] [Google Scholar]
  • 8.Higgins JP, Altman DG, Gotzsche PC, et al. The cochrane collaboration’s tool for assessing risk of bias in randomised trials. BMJ. 2011;343:d5928. doi: 10.1136/bmj.d5928 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials. 1986;7(3):177–188. [DOI] [PubMed] [Google Scholar]
  • 10.Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327(7414):557–560. doi: 10.1136/bmj.327.7414.557 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Sterne JA, Egger M. Funnel plots for detecting bias in meta-analysis: guidelines on choice of axis. J Clin Epidemiol. 2001;54(10):1046–1055. doi: 10.1016/s0895-4356(01)00377-8 [DOI] [PubMed] [Google Scholar]
  • 12.Thompson SG, Higgins JPT. How should meta-regression analyses be undertaken and interpreted? Stat Med. 2002;21(11):1559–1573. doi: 10.1002/sim.1187 [DOI] [PubMed] [Google Scholar]
  • 13.Dias S, Sutton AJ, Ades AE, Welton NJ. Evidence synthesis for decision making 2: a generalized linear modeling framework for pairwise and network meta-analysis of randomized controlled trials. Med Decis Making. 2013;33(5):607–617. doi: 10.1177/0272989X12458724 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Brooks SP, Gelman A. General methods for monitoring convergence of iterative simulations. J Comput Graph Stat. 1998;7:434–455. [Google Scholar]
  • 15.Mills EJ, Thorlund K, Ioannidis JP. Demystifying trial networks and network meta-analysis. BMJ. 2013;346:f2914. doi: 10.1136/bmj.f1164 [DOI] [PubMed] [Google Scholar]
  • 16.Dias S, Sutton AJ, Welton NJ, Ades AE. Evidence synthesis for decision making 3: heterogeneity – subgroups, meta-regression, bias, and bias-adjustment. Med Decis Making. 2013;33(5):618–640. doi: 10.1177/0272989X13485157 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Dias S, Welton NJ, Caldwell DM, Ades AE. Checking consistency in mixed treatment comparison meta-analysis. Stat Med. 2010;29(7–8):932–944. doi: 10.1002/sim.3767 [DOI] [PubMed] [Google Scholar]
  • 18.Salanti G, Ades AE, Ioannidis JP. Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: an overview and tutorial. J Clin Epidemiol. 2011;64(2):163–171. doi: 10.1016/j.jclinepi.2010.03.016 [DOI] [PubMed] [Google Scholar]
  • 19.Chaimani A, Higgins JP, Mavridis D, Spyridonos P, Salanti G. Graphical tools for network meta-analysis in STATA. PLoS One. 2013;8(10):e76654. doi: 10.1371/journal.pone.0076654 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.van Valkenhoef G, Lu G, de Brock B, Hillege H, Ades AE, Welton NJ. Automating network meta-analysis. Res Synth Methods. 2012;3(4):285–299. doi: 10.1002/jrsm.1054 [DOI] [PubMed] [Google Scholar]
  • 21.Brown S, Hutton B, Clifford T, et al. A microsoft-excel-based tool for running and critically appraising network meta-analyses – an overview and application of NetMetaXL. Syst Rev. 2014;3:110. doi: 10.1186/2046-4053-3-110 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Lassen MR, Gallus A, Raskob GE, Pineo G, Chen D, Ramirez LM. Apixaban versus enoxaparin for thromboprophylaxis after hip replacement. N Engl J Med. 2010;363(26):2487–2498. doi: 10.1056/NEJMoa1006885 [DOI] [PubMed] [Google Scholar]
  • 23.Lassen MR, Raskob GE, Gallus A, Pineo G, Chen D, Hornick P. Apixaban versus enoxaparin for thromboprophylaxis after knee replacement (ADVANCE-2): a randomised double-blind trial. Lancet. 2010;375(9717):807–815. doi: 10.1016/S0140-6736(09)62125-5 [DOI] [PubMed] [Google Scholar]
  • 24.Lassen MR, Raskob GE, Gallus A, Pineo G, Chen D, Portman RJ. Apixaban or enoxaparin for thromboprophylaxis after knee replacement. N Engl J Med. 2009;361(6):594–604. doi: 10.1056/NEJMoa0810773 [DOI] [PubMed] [Google Scholar]
  • 25.Agnelli G, Buller HR, Cohen A, et al. Apixaban for extended treatment of venous thromboembolism. N Engl J Med. 2013;368(8):699–708. doi: 10.1056/NEJMoa1207541 [DOI] [PubMed] [Google Scholar]
  • 26.Granger CB, Alexander JH, McMurray JJ, et al. Apixaban versus warfarin in patients with atrial fibrillation. N Engl J Med. 2011;365(11):981–992. doi: 10.1056/NEJMoa1107039 [DOI] [PubMed] [Google Scholar]
  • 27.Connolly SJ, Eikelboom J, Joyner C, et al. Apixaban in patients with atrial fibrillation. N Engl J Med. 2011;364(9):806–817. doi: 10.1056/NEJMoa1007432 [DOI] [PubMed] [Google Scholar]
  • 28.Giugliano RP, Ruff CT, Braunwald E, et al. Edoxaban versus warfarin in patients with atrial fibrillation. N Engl J Med. 2013;369(22):2093–2104. doi: 10.1056/NEJMoa1310907 [DOI] [PubMed] [Google Scholar]
  • 29.Investigators E, Bauersachs R, Berkowitz SD, et al. Oral rivaroxaban for symptomatic venous thromboembolism. N Engl J Med. 2010;363(26):2499–2510. doi: 10.1056/NEJMoa1007903 [DOI] [PubMed] [Google Scholar]
  • 30.Eikelboom JW, Connolly SJ, Bosch J, et al. Rivaroxaban with or without aspirin in stable cardiovascular disease. N Engl J Med. 2017;377(14):1319–1330. doi: 10.1056/NEJMoa1709118 [DOI] [PubMed] [Google Scholar]
  • 31.Fuji T, Fujita S, Kawai Y, et al. Safety and efficacy of edoxaban in patients undergoing hip fracture surgery. Thromb Res. 2014;133(6):1016–1022. doi: 10.1016/j.thromres.2014.03.009 [DOI] [PubMed] [Google Scholar]
  • 32.Chung N, Jeon HK, Lien LM, et al. Safety of edoxaban, an oral factor Xa inhibitor, in Asian patients with non-valvular atrial fibrillation. Thromb Haemost. 2011;105(3):535–544. doi: 10.1160/TH10-07-0451 [DOI] [PubMed] [Google Scholar]
  • 33.Hokusai VTEI, Buller HR, Decousus H, et al. Edoxaban versus warfarin for the treatment of symptomatic venous thromboembolism. N Engl J Med. 2013;369(15):1406–1415. doi: 10.1056/NEJMoa1306638 [DOI] [PubMed] [Google Scholar]
  • 34.Schulman S, Kearon C, Kakkar AK, et al. Dabigatran versus warfarin in the treatment of acute venous thromboembolism. N Engl J Med. 2009;361(24):2342–2352. doi: 10.1056/NEJMoa0906598 [DOI] [PubMed] [Google Scholar]
  • 35.Kakkar AK, Brenner B, Dahl OE, et al. Extended duration rivaroxaban versus short-term enoxaparin for the prevention of venous thromboembolism after total hip arthroplasty: a double-blind, randomised controlled trial. Lancet. 2008;372(9632):31–39. doi: 10.1016/S0140-6736(08)60880-6 [DOI] [PubMed] [Google Scholar]
  • 36.Eriksson BI, Borris LC, Friedman RJ, et al. Rivaroxaban versus enoxaparin for thromboprophylaxis after hip arthroplasty. N Engl J Med. 2008;358(26):2765–2775. doi: 10.1056/NEJMoa0800374 [DOI] [PubMed] [Google Scholar]
  • 37.Turpie AG, Lassen MR, Davidson BL, et al. Rivaroxaban versus enoxaparin for thromboprophylaxis after total knee arthroplasty (RECORD4): a randomised trial. Lancet. 2009;373(9676):1673–1680. doi: 10.1016/S0140-6736(09)60734-0 [DOI] [PubMed] [Google Scholar]
  • 38.Hori M, Matsumoto M, Tanahashi N, et al. Rivaroxaban vs. warfarin in Japanese patients with atrial fibrillation – the J-ROCKET AF study. Circ J. 2012;76(9):2104–2111. doi: 10.1253/circj.cj-12-0454 [DOI] [PubMed] [Google Scholar]
  • 39.Connolly SJ, Ezekowitz MD, Yusuf S, et al. Dabigatran versus warfarin in patients with atrial fibrillation. N Engl J Med. 2009;361(12):1139–1151. doi: 10.1056/NEJMoa0905561 [DOI] [PubMed] [Google Scholar]
  • 40.Schulman S, Kearon C, Kakkar AK, et al. Extended use of dabigatran, warfarin, or placebo in venous thromboembolism. N Engl J Med. 2013;368(8):709–718. doi: 10.1056/NEJMoa1113697 [DOI] [PubMed] [Google Scholar]
  • 41.Patel MR, Mahaffey KW, Garg J, et al. Rivaroxaban versus warfarin in nonvalvular atrial fibrillation. N Engl J Med. 2011;365(10):883–891. doi: 10.1056/NEJMoa1009638 [DOI] [PubMed] [Google Scholar]
  • 42.Fuji T, Wang CJ, Fujita S, et al. Safety and efficacy of edoxaban, an oral factor Xa inhibitor, versus enoxaparin for thromboprophylaxis after total knee arthroplasty: the STARS E-3 trial. Thromb Res. 2014;134(6):1198–1204. doi: 10.1016/j.thromres.2014.09.011 [DOI] [PubMed] [Google Scholar]
  • 43.Schulman S, Kakkar AK, Goldhaber SZ, et al. Treatment of acute venous thromboembolism with dabigatran or warfarin and pooled analysis. Circulation. 2014;129(7):764–772. doi: 10.1161/CIRCULATIONAHA.113.004450 [DOI] [PubMed] [Google Scholar]
  • 44.Fuji T, Fujita S, Kawai Y, et al. Efficacy and safety of edoxaban versus enoxaparin for the prevention of venous thromboembolism following total hip arthroplasty: STARS J-V. Thromb J. 2015;13:27. doi: 10.1186/s12959-015-0057-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Schulman S, Kearon C. Subcommittee on control of anticoagulation of the S, standardization committee of the international society on T, haemostasis. definition of major bleeding in clinical investigations of antihemostatic medicinal products in non-surgical patients. J Thromb Haemost. 2005;3(4):692–694. doi: 10.1111/j.1538-7836.2005.01204.x [DOI] [PubMed] [Google Scholar]
  • 46.Ntaios G, Papavasileiou V, Makaritsis K, Vemmos K, Michel P, Lip GYH. Real-world setting comparison of nonvitamin-K antagonist oral anticoagulants versus vitamin-K antagonists for stroke prevention in atrial fibrillation: a systematic review and meta-analysis. Stroke. 2017;48(9):2494–2503. doi: 10.1161/STROKEAHA.117.017549 [DOI] [PubMed] [Google Scholar]
  • 47.Chai-Adisaksopha C, Hillis C, Isayama T, Lim W, Iorio A, Crowther M. Mortality outcomes in patients receiving direct oral anticoagulants: a systematic review and meta-analysis of randomized controlled trials. J Thromb Haemost. 2015;13(11):2012–2020. doi: 10.1111/jth.13139 [DOI] [PubMed] [Google Scholar]
  • 48.Inohara T, Xian Y, Liang L, et al. Association of intracerebral hemorrhage among patients taking non-vitamin K antagonist vs vitamin K antagonist oral anticoagulants with in-hospital mortality. JAMA. 2018;319(5):463–473. doi: 10.1001/jama.2017.21917 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Chai-Adisaksopha C, Crowther M, Isayama T, Lim W. The impact of bleeding complications in patients receiving target-specific oral anticoagulants: a systematic review and meta-analysis. Blood. 2014;124(15):2450–2458. doi: 10.1182/blood-2014-07-590323 [DOI] [PubMed] [Google Scholar]
  • 50.Holster IL, Valkhoff VE, Kuipers EJ, Tjwa ET. New oral anticoagulants increase risk for gastrointestinal bleeding: a systematic review and meta-analysis. Gastroenterology. 2013;145(1):105–112 e115. doi: 10.1053/j.gastro.2013.02.041 [DOI] [PubMed] [Google Scholar]
  • 51.Abraham NS, Noseworthy PA, Yao X, Sangaralingham LR, Shah ND. Gastrointestinal safety of direct oral anticoagulants: a large population-based study. Gastroenterology. 2017;152(5):1014–1022 e1011. doi: 10.1053/j.gastro.2016.12.018 [DOI] [PubMed] [Google Scholar]
  • 52.Abraham NS, Singh S, Alexander GC, et al. Comparative risk of gastrointestinal bleeding with dabigatran, rivaroxaban, and warfarin: population based cohort study. BMJ. 2015;350:h1857. doi: 10.1136/bmj.h1857 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Maura G, Blotiere PO, Bouillon K, et al. Comparison of the short-term risk of bleeding and arterial thromboembolic events in nonvalvular atrial fibrillation patients newly treated with dabigatran or rivaroxaban versus vitamin K antagonists: a French nationwide propensity-matched cohort study. Circulation. 2015;132(13):1252–1260. doi: 10.1161/CIRCULATIONAHA.115.015710 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Lip GY, Keshishian A, Kamble S, et al. Real-world comparison of major bleeding risk among non-valvular atrial fibrillation patients initiated on apixaban, dabigatran, rivaroxaban, or warfarin. A propensity score matched analysis. Thromb Haemost. 2016;116(5):975–986. doi: 10.1160/TH16-05-0403 [DOI] [PubMed] [Google Scholar]
  • 55.Noseworthy PA, Yao X, Abraham NS, Sangaralingham LR, McBane RD, Shah ND. Direct comparison of dabigatran, rivaroxaban, and apixaban for effectiveness and safety in nonvalvular atrial fibrillation. Chest. 2016;150(6):1302–1312. doi: 10.1016/j.chest.2016.07.013 [DOI] [PubMed] [Google Scholar]
  • 56.Chan YH, Kuo CT, Yeh YH, et al. Thromboembolic, bleeding, and mortality risks of rivaroxaban and dabigatran in Asians with nonvalvular atrial fibrillation. J Am Coll Cardiol. 2016;68(13):1389–1401. doi: 10.1016/j.jacc.2016.06.062 [DOI] [PubMed] [Google Scholar]
  • 57.Bai Y, Deng H, Shantsila A, Lip GYH. Rivaroxaban versus dabigatran or warfarin in real-world studies of stroke prevention in atrial fibrillation: systematic review and meta-analysis. Stroke. 2017;48(4):970–976. doi: 10.1161/STROKEAHA.116.016275 [DOI] [PubMed] [Google Scholar]
  • 58.Burr N, Lummis K, Sood R, Kane JS, Corp A, Subramanian V. Risk of gastrointestinal bleeding with direct oral anticoagulants: a systematic review and network meta-analysis. Lancet Gastroenterol Hepatol. 2017;2(2):85–93. doi: 10.1016/S2468-1253(16)30162-5 [DOI] [PubMed] [Google Scholar]
  • 59.Di Giosia P, Passacquale G, Petrarca M, Giorgini P, Marra AM, Ferro A. Gender differences in cardiovascular prophylaxis: focus on antiplatelet treatment. Pharmacol Res. 2017;119:36–47. doi: 10.1016/j.phrs.2017.01.025 [DOI] [PubMed] [Google Scholar]
  • 60.Salzano A, Demelo-Rodriguez P, Marra AM, Proietti M. A focused review of gender differences in antithrombotic therapy. Curr Med Chem. 2017;24(24):2576–2588. doi: 10.2174/0929867323666161029223512 [DOI] [PubMed] [Google Scholar]
  • 61.Connolly SJ, Crowther M, Eikelboom JW, et al. Full study report of andexanet alfa for Bleeding Associated with factor Xa inhibitors. N Engl J Med. 2019;380(14):1326–1335. doi: 10.1056/NEJMoa1814051 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Rasmussen LH, Larsen TB, Graungaard T, Skjoth F, Lip GY. Primary and secondary prevention with new oral anticoagulant drugs for stroke prevention in atrial fibrillation: indirect comparison analysis. BMJ. 2012;345:e7097. doi: 10.1136/bmj.e7097 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Castellucci LA, Cameron C, Le Gal G, et al. Efficacy and safety outcomes of oral anticoagulants and antiplatelet drugs in the secondary prevention of venous thromboembolism: systematic review and network meta-analysis. BMJ. 2013;347:f5133. doi: 10.1136/bmj.f5133 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

All data generated or analyzed during this study are included in this article and its additional files.


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