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Dabigatran Etexilate or Warfarin in the Treatment of Acute Venous Thromboembolism in Western European Patients: A Pooled Analysis of RE-COVER® and RE-COVER II™

2015· article· en· W2560401193 on OpenAlexaff
Sebastian Schellong, Henry Eriksson, Samuel Z. Goldhaber, Martin Feuring, Stefan Hantel, Jörg Kreuzer, Sam Schulman, Ajay K. Kakkar

Bibliographic record

VenueBlood · 2015
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineDabigatranWarfarinPopulationHazard ratioProportional hazards modelRandomized controlled trialVenous thromboembolismInternal medicineAtrial fibrillationConfidence intervalThrombosis

Abstract

fetched live from OpenAlex

Abstract Introduction: In the RE-COVER®/RE-COVER II™ global randomized trials investigating the treatment of acute venous thromboembolism (VTE), efficacy and safety outcomes of dabigatran etexilate (dabigatran) versus warfarin were compared. This sub-analysis of pooled RE-COVER®/RE-COVER II™ data compares the safety and efficacy of dabigatran versus warfarin in the Western European sub-population. Methods: In the RE-COVER®/RE-COVER II™ trials, patients with acute VTE, initially receiving parenteral anticoagulation, were randomized to warfarin (INR 2-3) or dabigatran (150 mg twice daily) for 6 months and followed up for 30 days. The primary efficacy outcome was recurrent, symptomatic VTE/VTE-related death. Safety outcomes were major bleeding events (MBEs), a composite of MBEs or clinically relevant non-major bleeding events (MBEs/CRBEs) and any bleeding during the 6-month, oral-only treatment period. All outcomes were centrally adjudicated. Data from the Western European sub-population were analyzed using a Cox regression model with factor treatment stratified by study, assuming different baseline hazards per study. Results: This sub-analysis included 1239 patients for the efficacy analysis (dabigatran n = 613; warfarin n = 626) and 1192 patients for safety (dabigatran n = 588; warfarin n = 604) from all 13 Western European countries participating in the RE-COVER®/RE-COVER II™ trials. For the primary efficacy outcome, the rate of VTE/VTE-related death in patients receiving dabigatran was 2.1% (n = 13) compared with 2.9% (n = 18) in those receiving warfarin. However, this difference did not reach statistical significance (hazard ratio [HR] 0.74; 95% confidence interval [CI], 0.36-1.5). Of the safety outcomes, rates of MBEs were similar between both treatment groups (1.4% for dabigatran [n = 8] and 1.3% for warfarin [n = 8]; HR 1.02; 95% CI, 0.38-2.71). Rates of MBEs/CRBEs were significantly lower in patients receiving dabigatran than in those receiving warfarin at 5.1% (n = 30) and 9.4% (n = 57), respectively (HR 0.52; 95% CI, 0.34-0.82). Any bleeding events were also statistically lower in the dabigatran group (17.5%; n = 103) compared with warfarin (23.8%; n = 144) (HR 0.7; 95% CI, 0.54-0.90). Conclusions: In this Western European sub-analysis of pooled data from the RE-COVER®/ RE-COVER II™ trials, dabigatran was as effective as warfarin in the treatment of acute VTE. There was a significant reduction in MBE/CRBE and in any bleeding events in the dabigatran treatment group. Disclosures Schellong: Boehringer Ingelheim: Consultancy. Eriksson:Boehringer Ingelheim: Consultancy. Goldhaber:Boehringer Ingelheim: Consultancy, Research Funding. Feuring:Boehringer Ingelheim: Employment. Hantel:Boehringer Ingelheim Pharma GmbH and Co. KG: Employment. Kreuzer:Boehringer Ingelheim Pharma GmbH and Co. KG: Employment. Schulman:Boehringer Ingelheim: Honoraria, Research Funding; Bayer: Honoraria; Baxter: Honoraria; Octapharma: Research Funding. Kakkar:Boehringer Ingelheim: Consultancy, Honoraria, Research Funding.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.015
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0070.015
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.283
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2015
Admission routes1
Has abstractyes

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