Literature DB >> 34138850

Efficacy and safety of anticoagulants for postoperative thrombophylaxis in total hip and knee arthroplasty: A PRISMA-compliant Bayesian network meta-analysis.

Tailai He1, Fei Han1,2, Jiahao Wang1, Yihe Hu1, Jianxi Zhu1,3.   

Abstract

OBJECTIVE: To search, review, and analyze the efficacy and safety of various anticoagulants from randomized clinical trials (RCTs) of anticoagulants for THA and TKA.
DESIGN: PRISMA-compliant Bayesian Network Meta-analysis. DATA SOURCES AND STUDY SELECTION: The databases of The Medline, Embase, ClinicalTrial, and Cochrane Library databases were searched until March 2017 for RCTs of patients undergoing a THA or TKA. MAIN OUTCOMES AND MEASURES: The primary efficacy measurement was the venous thromboembolism Odds ratio (OR). The safety measurement was the odds ratio of major or clinically relevant bleeding. OR with 95% credibility intervals (95%CrIs) were calculated. Findings were interpreted as associations when the 95%CrIs excluded the null value.
RESULTS: Thirty-five RCTs (53787 patients; mean age range, mostly 55-70 years; mean weight range, mostly 55-90 kg; and a higher mean proportion of women than men, around 60%) included the following Anticoagulants categories: fondaparinux, edoxaban, rivaroxaban, apixaban, dabigatran, low-molecular-weight heparin, ximelagatran, aspirin, warfarin. Anticoagulants were ranked for effectiveness as follows: fondaparinux (88.89% ± 10.90%), edoxaban (85.87% ± 13.34%), rivaroxaban (86.08% ± 10.23%), apixaban (68.26% ± 10.82%), dabigatran (41.63% ± 12.26%), low-molecular-weight heparin (41.03% ± 9.60%), ximelagatran (37.81% ± 15.87%), aspirin (35.62% ± 20.60%), warfarin (9.89% ± 9.07%), and placebo (4.56% ± 6.37%). Ranking based on clinically relevant bleeding events was as follows: fondaparinux (14.53% ± 15.25%), ximelagatran (18.93% ± 17.49%), rivaroxaban (23.86% ± 15.14%), dabigatran (28.30% ± 14.18%), edoxaban (38.76% ± 24.25%), low-molecular-weight heparin (53.28% ± 8.40%), apixaban (71.81% ± 10.92%), placebo (76.26% ± 14.61%), aspirin (86.32% ± 25.74%), and warfarin (87.95% ± 11.27%). No statistically significant heterogeneity was observed between trials. CONCLUSIONS AND RELEVANCE: According to our results, all anticoagulant drugs showed some effectiveness for VTE prophylaxis. Our ranking indicated that fondaparinux and rivaroxaban were safer and more effective than other anticoagulant drugs for patients undergoing THA or TKA.

Entities:  

Year:  2021        PMID: 34138850      PMCID: PMC8211213          DOI: 10.1371/journal.pone.0250096

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Total joint arthroplasty is generally regarded as a highly successful surgical intervention. However, venous thromboembolism (VTE), including lower- and upper-extremity deep-vein thrombosis (DVT) and pulmonary embolism (PE), represents a major complication of this surgery. VTE has a combined annual incidence of 1–2 events per 1,000 population in the United States [1]. Warfarin (a vitamin K antagonist) is established as an effective agent for VTE prophylaxis [2, 3]. However, its potential to cause bleeding limits its use in major orthopaedic surgeries such as total hip arthroplasty (THA) and total knee arthroplasty (TKA). Alternatively, subcutaneous low-molecular-weight heparin (LMWH) has been widely used for VTE prophylaxis in recent decades, with a relatively safe outcome [4, 5]. Furthermore, newer targeted oral anticoagulants such as Factor Xa inhibitors (apixaban [6-9], rivaroxaban [10-17], and edoxaban [18-20]) and direct thrombin inhibitors (dabigatran [21-25] and ximelagatran [26-28]) can circumvent these limitations because of their faster onset and, to date, fewer known drug interactions requiring modification of therapy. Among the available anticoagulants, dabigatran etexilate (Pradaxa; Boehringer Ingelheim), rivaroxaban (Xarelto; Bayer), apixaban (Eliquis), xilamegatran, fondaparinux [29-33] (Aristra, GSK), aspirin [34], warfarin [35, 36], and LMWH (Enoxaparin, Delteparin) are widely used for prophylaxis against VTE in patients undergoing THA or TKA. Although phase II and III trials have been performed to evaluate the efficacy of the newer drugs compared with LMWH, the pivotal studies on these indications were mainly based on comparisons with LMWH or placebo, with no head-to-head comparisons between the new oral anticoagulants reported to date. Previous meta-analyses compared efficacy and safety between new oral anticoagulants and enoxaparin [37, 38]. However, The RCTs included in these studies were very limited and did not include ximelagatran and classic anticoagulants, such as aspirin and warfarin. With the advantages of the network meta-analysis, we can incorporate a much wider rangeof anticoagulants and clinical trials, thus making our research results more comprehensive. We performed a meta-analysis of data from randomized clinical trials (RCTs) of widely used anticoagulants for prophylaxis against VTE in patients undergoing THA or TKA. Using both direct and indirect Bayesian comparisons of the data [39, 40], we performed a head-to-head comparison of anticoagulants to evaluate their relative effectiveness and tolerability, including the rate of VTE events, death, and major or clinically relevant non-major bleeding during the follow up period.

Methods

This is a network meta-analysis of various anticoagulants from randomized clinical trials (RCTs) of anticoagulants for THA and TKA. This meta-analysis is reported in accordance with the Preferred Reporting Items for Meta-Analyses (PRISMA).

Data sources

An online systematic search was performed for eligible trials using the electronic databases of MEDLINE(PubMed), Scopus, Embase, ClinicalTrial, and Cochrane Library databases. In addition, the following websites were searched to retrieve unpublished and ongoing studies: Current Controlled Trials, ClinicalTrials.gov, and the World Health Organization International Clinical Trials Registry. The search was performed from database inception until March 2017.

Search strategy

The Medline, Embase, ClinicalTrial, and Cochrane Library databases were searched using a combination of a series of logic keywords and text words related to anticoagulants, THA or TKA, and RCT. Key terms used in the search included extension or extended treatment or therapy; total hip arthroplasty (or THA, total hip replacement) or total knee arthroplasty (or TKA, total knee replacement);venous thromboembolism (or VTE) or deep vein thrombosis (or DVT) or pulmonary embolism (or PE); anticoagulant or anticoagulant agent; apixaban (or Eliquis); rivaroxaban (or Xarelto); edoxaban; dabigatran (or Pradaxa); ximelagatran (or melagatran); fondaparinux (or Arixtra); low-molecular-weight heparin (or LMWH, exoxaparin, or delteparin); aspirin; and warfarin (or vitamin K antagonist). The complete search used for Pubmed was: Search: (venous thromboembolism [MeSH Terms] OR VTE [Text Word] OR deep vein thrombosis [MeSH Terms] OR DVT [Text word] OR pulmonary embolism [MeSH Terms] OR PE [Text word]) AND (anticoagulant [MeSH Terms] OR anticoagulant agent [Text word] OR apixaban [Text word] OR Eliquis [Text word] OR rivaroxaban [Text word] OR Xarelto [Text word] OR edoxaban [Text word] OR Pradaxa [Text word] OR t ximelagatran [Text word] OR melagatran [Text word] OR fondaparinux [Text word] OR Arixtra [Text word] OR low-molecular-weight heparin [MeSH Terms] OR LMWH [Text word] OR exoxaparin [Text word] OR delteparin [Text word] OR aspirin [Text word] OR warfarin [Text word] OR vitamin K antagonist) OR (total hip arthroplasty [MeSH Terms] OR THA [Text word] OR total knee arthroplasty [MeSH Terms] OR TKA [Text word]) Filters: Clinical Trial.

Selection criteria

Studies selected (Fig 1) were RCTs that fulfilled the following inclusion criteria: (1) studies in adult patients undergoing a THA or TKA, regardless of the aetiology and type or size of prosthesis used; (2) studies with more than 100 patients; and (3) studies where the full text of the article was available. Exclusion criteria were (1) reviews, retrospective or observational studies, case reports, animal research, and studies without a case-control design; (2) studies on other types of CP and in patients previously diagnosed with other diseases that can cause VTE or bleeding; and (3) studies in patients with a mean age of less than 12 years or more than 80 years.
Fig 1

Flow diagram of study identification, screening, eligibility assessment, and inclusion.

35 randomised trials correspond to 71 groups because three-group studies were included in this multiple-treatments meta-analysis.

Flow diagram of study identification, screening, eligibility assessment, and inclusion.

35 randomised trials correspond to 71 groups because three-group studies were included in this multiple-treatments meta-analysis.

Study selection and data extraction

Each citation was independently reviewed by two reviewers (J.W. and F.H.) according to a PRISMA flowchart (Fig 1). Citations were mostly excluded because of irrelevance, as determined by the title or abstract. For all other citations, both reviewers obtained the complete manuscript and evaluated it. Retrospective or non-randomized studies were excluded at this stage. Disagreement between the reviewers was resolved by consensus with a third reviewer (T.H.). Parameters including the author’s name, publication year, journal name, type of study, sample size, gender ratio, mean age and weight, type of surgery, dose and duration of anticoagulant drugs, other postoperative thromboprophylaxis, postoperative complications (VTE and bleeding), and duration of follow-up were evaluated.

Quality and risk of bias assessment

The methodological quality of each component study was assessed using Jadad scoring [41]. We included only articles with Jadad scores ≥3. Reliability between reviewers was evaluated using the intra-class correlation coefficient (ICC).

Data synthesis and analysis

A random effects Bayesian network meta-analysis was performed to compare the relative treatment effect of anticoagulants. A major advantage of network meta-analysis is that it allows the indirect comparison of interventions between primary trials. The meta-analysis was performed using WinBUGS software (version 1.4.3, MRC Biostatistics Unit, Cambridge, UK) and R version 3.0.2 (The R Foundation for Statistical Computing). Network meta-analysis is considered the most comprehensive approach to the comparison of multiple treatments [39], as it performs direct comparisons between two trials (A vs B) and indirect comparisons between trials with a common treatment (A vs C, using trials comparing A vs B and B vs C) [42]. The Markov chain Monte Carlo method was used to obtain the pooled effect sizes. Markov chains run simultaneously with different initial values chosen arbitrarily. Fifty thousand simulations were generated for each of the three sets of initial values. The first 10,000 simulations were regarded as the burn-in period and not used in the analysis. Pooled effect sizes were reported from the median of the posterior distribution, and the corresponding 95% credible intervals were applied using the 2.5th and 97.5th percentiles of the posterior distribution, which was similar to the conventional 95% CrIs. We assessed the possibility of publication bias by constructing a funnel plot of each trial’s effect size against the standard error. Furthermore, we assessed funnel plot asymmetry using Begg tests, and defined significant publication bias as p value <0·05. To estimate the network inconsistency between the indirect and direct estimates in each closed loop, the absolute difference between the indirect and direct treatment effect estimates was calculated. Loops where the lower CI limit did not reach zero were considered a statistically significant inconsistency [43]. The fit of the model to the data was measured by calculating the posterior mean residual deviance. A model was considered to fit the data adequately when the mean of the residual deviance was similar to the number of data points. Sensitivity analysis was conducted to examine the impact of low methodological quality and small sample size on the overall effect size. At the end of the study, we assessed efficacies and safeties between the anticoagulants and expressed these using placebo as reference. In each Markov chain Monte Carlo cycle, each agent was ranked from first to last according to the estimated effect size. These probabilities sum to one were displayed as histograms for each treatment and each rank. The anticoagulants were ranked for efficacy and safety according to their posterior probabilities. Probability values were summarized and reported as the surface under the cumulative ranking (SUCRA) [44]. The value of SUCRA ranged from 0 (worst treatment) to 1 (best treatment).

Patient and public involvement

No patients or members of the public were involved in the present study. No patients were asked to advise on the interpretation or writing up of results. The results of the present research will be communicated to the relevant patient community.

Results

A total of 35 RCTs were selected for network meta-analysis. The initial electronic database search identified 8,062 records, of which 8,027 were excluded after screening. First, 3471 citations were removed because of duplication. Next, 4542 publications were excluded based on the title or abstract because of irrelevancy. By subsequently scrutinizing the entire paper, 49 full-text papers remained. After excluding some heterogeneous studies, a total of 35 citations remained for analysis. Most trials were two-grouped studies and only one was three-grouped. Of these trials, one active comparator was usually LMWH. Patients had mean age ranged mostly 55–70 years, mean weight ranged mostly 55–90 kg, and higher mean proportion of women than men (around 60%). The basic characters of the trials are shown in Table 1. The quality of all trials were rated as good, which was assessed using Jadad scoring (≥3).
Table 1

Characteristics of trials included in the analysis.

CitationType of Intervention and DoseSample SizeAge YearWeight KgGender(M/F)Surgery TypeCitation numbers
ADVANCE-1Apixaban 2.5mg, bid, 10–14 days159965.986.71212/1983TKA8
Enoxaprin 30mg bid, 10–14 days159665.786.7
ADVANCE-2Apixaban 2.5mg, bid, 10–14 days15286778841/2216TKA7
Enoxaprin 40mg od, 10–14 days15296778
ADVANCE-3Apixaban 2.5mg, bid, 28–35 days270860.979.92526/2881THA6
Enoxaprin 40mg od, 28–35 days269960.679.5
APROPOSApixaban 2.5mg, bid, 10–14 days15367.682.3109/198TKA9
Enoxaprin 30mg bid, 10–14 days15266.583.1
RE-MODELDabigatran 150, 220mg od, 6–10 days138267.582.5706/1370TKA23
Enoxaparin 40mg od, 6–10 days6946882
RE-NOVATEDabigatran 150, 220mg od, 28–35 days230964791509/1954THA24
Enoxaparin 40mg od, 28–35 days11546478
RE-MOBILIZEDabigatran 150, 220mg od, 12–15 days172866.1881099/1497TKA25
Enoxaparin 30mg bd, 12–15 days86866.388
RE-NOVATEIIDabigatran 220mg od, 28–35 days101061.9NR1042/971THA22
Enoxaparin 40mg od, 28–35 days100362
NCT00246025Dabigatran 150, 220mg od, 6–10 days25571.8NR319/60TKA
Placebo12471.3
BISTRO-IIDabigatran 150, 300mg od until venography77566.279428/739THA & TKA21
Enoxaparin 40mg od,until venography3926579
RECORD 1Rivaroxaban 10mg od, 31–39 days220963.178.11971/2462THA12
Enoxaparin 40mg od, 31–39 days222463.378.3
RECORD 2Rivaroxaban 10mg od, 31–39 days122861.474.31139/1318THA13
Enoxaparin 40mg od, 10–14 days122961.675.2
RECORD 3Rivaroxaban 10mg od, 10–14 days122067.680.1781/1678TKA14
Enoxaparin 40mg od, 10–14 days123967.681.2
RECORD 4Rivaroxaban 10mg od, 11–15 days152664.484.71060/1974TKA15
Enoxaparin 30mg bid, 11–15 days150864.784.4
PROOF CONCEPTRivaroxaban 5, 10mg bid, 5–9 days14866.277.3127/183THA
Enoxaparin 40mg od, 5–9 days1626479
ODIXA KNEERivaroxaban 10mg od, 5–9 days1036786.484/123TKA17
Enoxaparin 30mg bid, 5–9 days1046689.3
ODIXA HIP odRivaroxaban 10mg od, 5–9 days1426475.6109/190THA11
Enoxaparin 40mg od, 5–9 days15765.674.9
ODIXA HIP tdRivaroxaban 5,10mg bid, 5–9 days26964.578170/231THA10
Enoxaparin 40mg od, 5–9 days1326577
Zou Y 2014Rivaroxaban mg od, 14 days10263.5NR264/60TKA16
Aspirin 100mg od, 14 days11265.7
Enoxaparin 40mg od, 14 days11062.7
PENTAMAKSFondaparinux 2.5mg od, 5–9 days51767.589427/607TKA29
Enoxaprin 30mg bid, 5–9 days51767.588.4
EPHESUSFondaparinux 2.5mg od, 5–9 days11406675966/1307THA32
Enoxaprin 40mg od, 5–9 days11336775
PENTATHALONFondaparinux 2.5mg od, 5–9 days112867811078/1179THA33
Enoxaprin 30mg bid, 5–9 days11296780
Fuji T 2008Fondaparinux 2.5mg od, 11–15 days16566.356.755/277THA & TKA31
Placebo16766.457.6
ALEXANDER G 2001Fondaparinux 3.0mg od, 5–10 days1776680203/234THA30
Enoxaparin 30mg od, 5–10 days2606681
Fuji T 2014Edoxaban 30mg od,11–14 days7260.657.618/128THA19
Enoxaparin 20mg bid, 11–14 days7458.956.7
STARS E-3Edoxaban 30mg od,11–14 days29972.659.6120/474TKA20
Enoxaparin 20mg bid, 11–14 days29572.160.7
Fuji T 2010Edoxaban 30mg od,11–14 days10371.460.747/158TKA18
Placebo10270.661.2
NCT01181167Edoxaban 30mg od,11–14 days25562.8NR71/432THA
Enoxaparin 20mg bid, 11–14 days24862.8
EXTENDXimelagatran 24mg bid, 32–38 days47964.7NR440/518THA26
Enoxaparin 40mg od, 32–38 days47963.9
Colwell CW 2003Ximelagatran 24mg bid, 7–12 days78264.580.5749/808THA27
Enoxaparin 30mg bid, 7–12 days7756481
EXPRESSXimelagatran 24mg bid, 8–11 days137767781051/1713THA & TKA28
Enoxaparin 40mg od, 8–11 days13876779.1
Fuji T(E)Enoxaparin 40mg od, 14 days15461.855.943/276THA & TKA
Placebo16565.456.6
Hull RD 2000(1)Delteparin 5000IU, od, 8 days98363.580.5709/763THA35
Warfarin 5-10mg, od, 8 days4896380
Hull RD 2000(2)Delteparin 5000IU, od, 8 days38962.581287/282THA36
Warfarin 5-10mg, od, 8 days1806381
Anderson DR 2013Delteparin 5000IU, od, 8–10 days40057.9NR444/341THA34
Aspirin 81mg, od, 8–10 days38557.6
We established a network that included slightly different sets of studies (Fig 2), for which sensitivity analysis showed no significant heterogeneity. Of the 45 possible pair-wise comparisons between the 14 treatments, 14 have been studied directly in one or more trials for efficacy and safety.
Fig 2

Network of eligible comparisons for the multiple-treatments meta-analysis.

The width of the lines is proportional to the number of trials comparing every pair of treatments, and the size of every node is proportional to the number of randomised participants (sample size).

Network of eligible comparisons for the multiple-treatments meta-analysis.

The width of the lines is proportional to the number of trials comparing every pair of treatments, and the size of every node is proportional to the number of randomised participants (sample size). The Bayesian network meta-analysis results for the primary outcomes of interest were used for comparing RCTs. Based on the results of the Bayesian network, all anticoagulant agents showed some degree of efficacy compared with placebo (Fig 3). S1 Fig summarizes the results of the multiple-treatments meta-analyses for bleeding rate and thromboembolic events according to the network we established. For the efficacy evaluation, we selected the rate of DVT, which was the most used parameter for anticoagulant drugs. Among the available anticoagulants, Xa inhibitors such as fondaparinux (OR, 6.27 [95%CrI, 3.38 to 10.41]), edoxaban (OR, 6.21 [95%CrI, 3.08 to 12.19]), rivaroxaban (OR, 5.95 [95%CrI, 3.28 to 9.99]) and apixaban (OR, 4.41 [95%CrI, 2.19 to 7.96]) showed a relatively large effective size compared with the other anticoagulants. There is no obvious difference in effective size between direct thrombin inhibitors (dabigatran (OR, 2.61 [95%CrI, 1.48 to 4.37]) and ximelagatran (OR, 2.52 [95%CrI, 1.1 to 4.97])), LMWH (OR, 2.56 [95%CrI, 1.6 to 3.89]) and aspirin (OR, 2.49 [95%CrI, 0.87 to 5.93]). As a classic vitamin K antagonist, warfarin (OR, 1.28 [95%CrI, 0.55 to 2.59]) showed the minimum effective size among all available anticoagulants.
Fig 3

Forest plots of MTM results for efficacy outcomes and safety outcomes with placebo as reference compound.

ORs higher than 1 favour active compound. MTM = multiple-treatments meta-analysis. OR = odds ratio. CrI = credibilty interval.

Forest plots of MTM results for efficacy outcomes and safety outcomes with placebo as reference compound.

ORs higher than 1 favour active compound. MTM = multiple-treatments meta-analysis. OR = odds ratio. CrI = credibilty interval. At the same time, we selected the rate of clinically relevant bleeding events as the representative parameter for side effects. In terms of the magnitude of the effect, warfarin (OR, 0.67 [95%CrI, 0.06 to 2.58]), LMWH (OR, 0.72 [95%CrI, 0.34 to 1.39]) and aspirin (OR, 0.94 [95%CrI, 0.52 to 1.64]) had significantly larger values than the other treatments as expected. However, even when it comes to safety assessment, Xa inhibitors (fondaparinux (OR, 1.74 [95%CrI,1.13 to 2.68]), edoxaban (OR, 1.97 [95%CrI, 1.18 to 3.29]), rivaroxaban (OR, 1.87 [95%CrI, 1.11 to 3.01]) and apixaban (OR, 1.67 [95%CrI, 1.14 to 2.59])) and direct thrombin inhibitors such as dabigatran (OR, 1.54 [95%CrI, 0.8 to 2.77]) and ximelagatran (OR, 1.31 [95%CrI, 0.98 to 1.78]) still showed a higher priority of safety. No significant difference was observed between the direct and indirect comparisons, as shown in a Chaimani diagram (S2 Fig), indicating the coherence of data selected from different studies. The funnel plot results suggested that publication bias was not significant across the selected citations (S3 Fig). We utilized both fixed effects and random effects models and compared the differences between these two models. There was no obvious difference in parameters, indicating that the heterogeneity of citations was tolerable (supplementary random effects model: totresdev: 75.7904, pD: 50.0, DIC: 441.1; fixed effect model: totresdev: 84.1592, pD: 42.8, DIC: 442.3). The SUCRA results (S4 Fig) show the ranking probability of all treatment regiments from the best treatment effect to the last. Treatments with a greater area in the histogram were associated with larger probabilities of better outcomes. According to our Bayesian network of therapeutic effect, the most efficacious treatments were fondaparinux (88.89% ±± 10.90%), edoxaban (85.87% ± 13.34%), rivaroxaban (86.08% ± 10.23%), apixaban (68.26% ± 10.82%), dabigatran (41.63% ± 12.26%), LMWH (41.03% ± 9.60%), ximelagatran (37.81% ± 15.87%), aspirin (35.62% ± 20.60%), warfarin (9.89% ± 9.07%), and placebo (4.56% ± 6.37%). The SUCRA histogram of different treatments is shown in S5 Fig. Conversely, a lower SUCRA position for side effects indicated a higher priority of safety. Using the Bayesian network we constructed for clinically relevant bleeding rate, the detailed rank probabilities of each treatment were determined (S4 Fig). The histogram of treatments is shown in S6 Fig. The SUCRA ranking for clinically relevant bleeding events was as follows: fondaparinux (14.53% ± 15.25%), ximelagatran (18.93% ± 17.49%), rivaroxaban (23.86% ± 15.14%), dabigatran (28.30% ± 14.18%), edoxaban (38.76% ± 24.25%), LMWH (53.28% ± 8.40%), apixaban (71.81% ± 10.92%), placebo (76.26% ± 14.61%), aspirin (86.32% ± 25.74%), and warfarin (87.95% ± 11.27%). In summary, fondaparinux, rivaroxaban and edoxaban were among the most effective treatments, and fondaparinux, ximelagatran, and rivaroxaban were better than other anticoagulants in terms of safety. We ranked anticoagulants according to these two dimensions (Fig 4).
Fig 4

The anticoagulants were ranked for efficacy and safety according to their SUCRA score.

Red color represents worst treatment and green represents best treatment in a qualitative approach. Treatments with a higher SUCRA position for VTE prophylaxis were associated with larger probabilities of better outcomes. Conversely, a lower SUCRA position for side effects (major or clinically relevant bleeding) indicated a higher priority of safety.

The anticoagulants were ranked for efficacy and safety according to their SUCRA score.

Red color represents worst treatment and green represents best treatment in a qualitative approach. Treatments with a higher SUCRA position for VTE prophylaxis were associated with larger probabilities of better outcomes. Conversely, a lower SUCRA position for side effects (major or clinically relevant bleeding) indicated a higher priority of safety.

Discussion

Our Bayesian network meta-analysis reviewed 9 anticoagulant agents for efficacy and safety in patients undergoing THA and TKA. To the best of our knowledge, this analysis comparing multiple anticoagulant drugs for these types of surgery include the most types of anticoagulants and the largest number of RCTs. We compiled evidence from direct and indirect comparisons to evaluate relative efficacy and safety parameters. Fondaparinux, edoxaban, and rivaroxaban were found to be the most effective anticoagulants for patients undergoing THA or TKA compared with the other drugs. In terms of safety, fondaparinux, ximelagatran, and rivaroxaban were the highest-ranked drugs for low prevalence of clinically relevant bleeding events. New oral anticoagulant drugs such as factor Xa inhibitors and direct thrombin inhibitors have a considerable improvement over the traditional oral or subcutaneous anticoagulants in terms of effectiveness and safety. Our findings indicate that, regardless of efficacy or safety at the last follow-up time point, fondaparinux and rivaroxaban were the most likely preferred drugs, and demonstrated the usefulness of network meta-analysis to compare the relative effectiveness and safety of different anticoagulant interventions. These results may benefit doctors, healthcare policymakers, and pharmaceutical companies involved in anticoagulation therapy. We excluded trials that were not properly blinded, had a small sample size, or were not sufficiently randomized. Moreover, we controlled for trial characteristics that could result in heterogeneity. Furthermore, Begg’s test indicated that publication bias was not significant across the included citations. There was no evidence of inconsistency between the direct and indirect comparisons according to the Chaimani and Higgins inconsistency tests. New oral anticoagulant drugs confer multiple advantages compared with traditional oral or subcutaneous anticoagulants after major orthopaedic surgery such as THA or TKA. Fondaparinux and rivaroxaban are examples of newly developed direct factor Xa inhibitor and direct thrombin inhibitor, respectively. First, they exhibit higher anticoagulation activity than classical oral anticoagulants such as warfarin and aspirin [45, 46]. Second, they have been shown to be safer than warfarin, with fewer bleeding events, and do not require regular assessment of coagulation using tests such as the international normalized ratio (INR) [45]. Third, the use of oral anticoagulants after THA or TKA appears to be convenient and safe, with increased patient compliance, compared with LMWH. Given that that 35 days of anticoagulation is typically required following THA, subcutaneous injection of LMWH might not be feasible. Factor Xa inhibitors, with once-daily oral administration and no coagulation assessment, may be more acceptable to outpatients. Finally, unlike the traditional anticoagulant, warfarin, fondaparinux and rivaroxaban can be administrated at a convenient fixed dose. Nevertheless, an obvious limitation of Xa factor inhibitor is that there is no specific antidote available to reverse the effects of overdose. However, the risk of major bleeding events associated with these drugs is relatively low. Some reports have shown that recombinant activated Factor VIIa (rFVIIa) or Factor VIII inhibitor bypass activity (FEIBA) may counteract rivaroxaban overdose [45], although clinical data supporting this strategy are lacking. The limitations of this study should also be addressed. Firstly, We identified a large pool of citations for the meta-analysis, from which considerable variation may derive. Variations in dosage, patient characteristics, surgery, and time point to final follow-up, for example, could contribute to heterogeneity. However, inconsistency was shown to be tolerable in the network meta-analysis. Secondly, although 35 long-term RCTs were retrieved, including approximately 53 787patients and studying many anticoagulant drugs, 2 classic anticoagulants (warfarin and aspirin) were still studied just in 2 trials and there were relatively few direct comparisons between anticoagulants and placebo. Thirdly, several included studies measured pain or functional parameters in a short term treatment courses. It is uncertain whether these effects may diminish over time. Fourth, this study focused only on the major parameters of VTE and clinically relevant bleeding events, without regarding secondary parameters. The measurement of other indices in a Bayesian network meta -analysis is challenging, and difficult to interpret. The SUCRA curve was used to estimate a ranking probability of comparative effectiveness and safety between the different anticoagulants, but it has limitations and the results should be interpreted with caution. Finally, this study shared some of the general limitations of all meta-analyses, in that it cannot discriminate between non-comparability of measures and outcomes across different studies. The inherent variations between different studies in terms of measurement and quantification could therefore not be addressed or completely eliminated [47].

Conclusion

Our Bayesian network comparisons showed that all anticoagulant drugs had a certain level of effectiveness for VTE prophylaxis. Although further studies are needed to establish the optimal approach to the application of this treatment in practice, Our rankings clearly lend support to the use of fondaparinux or rivaroxaban were safer and more effective than other anticoagulant drugs for patients undergoing THA or TKA.

The results of the multiple-treatments meta-analyses for bleeding rate and thromboembolic events.

(TIF) Click here for additional data file.

Chaimani diagram.

No significant difference was observed between the direct and indirect comparisons. (TIF) Click here for additional data file.

Funnel plot.

Publication bias was not significant across the selected citations. (TIF) Click here for additional data file.

The ranking probability of all treatment regiments from the best treatment effect to the last.

(TIF) Click here for additional data file.

The SUCRA histogram of each treatment for thromboembolic events.

Treatments with a higher SUCRA position for VTE prophylaxis were associated with larger probabilities of better outcomes. (TIF) Click here for additional data file.

The SUCRA histogram of each treatment for clinically relevant bleeding rate.

A lower SUCRA position for side effects (major or clinically relevant bleeding) indicated a higher priority of safety. (TIF) Click here for additional data file.

PRISMA 2009 flow diagram.

(DOC) Click here for additional data file.

PRISMA NMA checklist of items to include when reporting a systematic review involving a network meta-analysis.

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  43 in total

1.  Network meta-analysis for indirect treatment comparisons.

Authors:  Thomas Lumley
Journal:  Stat Med       Date:  2002-08-30       Impact factor: 2.373

2.  Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: an overview and tutorial.

Authors:  Georgia Salanti; A E Ades; John P A Ioannidis
Journal:  J Clin Epidemiol       Date:  2010-08-05       Impact factor: 6.437

3.  Oral dabigatran versus enoxaparin for thromboprophylaxis after primary total hip arthroplasty (RE-NOVATE II*). A randomised, double-blind, non-inferiority trial.

Authors:  Bengt I Eriksson; Ola E Dahl; Michael H Huo; Andreas A Kurth; Stefan Hantel; Karin Hermansson; Janet M Schnee; Richard J Friedman
Journal:  Thromb Haemost       Date:  2011-01-12       Impact factor: 5.249

4.  Safety and efficacy of edoxaban, an oral factor Xa inhibitor, versus enoxaparin for thromboprophylaxis after total knee arthroplasty: the STARS E-3 trial.

Authors:  Takeshi Fuji; Ching-Jen Wang; Satoru Fujita; Yohko Kawai; Mashio Nakamura; Tetsuya Kimura; Kei Ibusuki; Hitoshi Ushida; Kenji Abe; Shintaro Tachibana
Journal:  Thromb Res       Date:  2014-09-21       Impact factor: 3.944

5.  Safety of fondaparinux versus enoxaparin after TKA in Japanese patients.

Authors:  Kunihiro Hosaka; Shu Saito; Takao Ishii; Takanobu Sumino; Keinosuke Ryu; Gen Suzuki; Takashi Suzuki; Yasuaki Tokuhashi
Journal:  Orthopedics       Date:  2013-04       Impact factor: 1.390

6.  Rivaroxaban versus enoxaparin for thromboprophylaxis after hip arthroplasty.

Authors:  Bengt I Eriksson; Lars C Borris; Richard J Friedman; Sylvia Haas; Menno V Huisman; Ajay K Kakkar; Tiemo J Bandel; Horst Beckmann; Eva Muehlhofer; Frank Misselwitz; William Geerts
Journal:  N Engl J Med       Date:  2008-06-26       Impact factor: 91.245

7.  Safety assessment of new antithrombotic agents: lessons from the EXTEND study on ximelagatran.

Authors:  G Agnelli; B I Eriksson; A T Cohen; D Bergqvist; O E Dahl; M R Lassen; P Mouret; N Rosencher; M Andersson; A Bylock; E Jensen; B Boberg
Journal:  Thromb Res       Date:  2008-05-15       Impact factor: 3.944

8.  Rivaroxaban versus enoxaparin for thromboprophylaxis after total knee arthroplasty (RECORD4): a randomised trial.

Authors:  Alexander G G Turpie; Michael R Lassen; Bruce L Davidson; Kenneth A Bauer; Michael Gent; Louis M Kwong; Fred D Cushner; Paul A Lotke; Scott D Berkowitz; Tiemo J Bandel; Alice Benson; Frank Misselwitz; William D Fisher
Journal:  Lancet       Date:  2009-05-04       Impact factor: 79.321

9.  Combination of direct and indirect evidence in mixed treatment comparisons.

Authors:  G Lu; A E Ades
Journal:  Stat Med       Date:  2004-10-30       Impact factor: 2.373

10.  Efficacy and safety of edoxaban versus enoxaparin for the prevention of venous thromboembolism following total hip arthroplasty: STARS J-V.

Authors:  Takeshi Fuji; Satoru Fujita; Yohko Kawai; Mashio Nakamura; Tetsuya Kimura; Masayuki Fukuzawa; Kenji Abe; Shintaro Tachibana
Journal:  Thromb J       Date:  2015-08-12
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  1 in total

Review 1.  Preventing Venous Thromboembolism after elective total hip arthroplasty surgery - are the current guidelines appropriate? Venous thromboembolism prophylaxis in elective total hip arthroplasty surgery.

Authors:  Harman Khatkar; Zain Elahi; Abbas See; Stephen McDonald; Greg Neal-Smith
Journal:  J Clin Orthop Trauma       Date:  2022-01-25
  1 in total

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