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A Randomized, Open-Label, Blinded Outcome Assessment Trial Evaluating the Efficacy and Safety of LMWH/Edoxaban Versus Dalteparin for Venous Thromboembolism Associated with Cancer: Hokusai VTE-Cancer Study

2017· article· en· W2782431592 on OpenAlexaff
Gary E. Raskob, Nick van Es, Peter Verhamme, Marc Carrier, Marcello Di Nisio, David García, Michael Grosso, Ajay K. Kakkar, Michael J. Kovacs, Michele Mercuri, Guy Meyer, Annelise Segers, Minggao Shi, Tzu‐Fei Wang, Erik Yeo, George Zhang, Jeffrey I. Zwicker, Jeffrey I. Weitz, Harry R. Büller

Bibliographic record

VenueBlood · 2017
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsThrombosis and Atherosclerosis Research InstituteUniversity Health NetworkUniversity of TorontoMcMaster UniversityLondon Health Sciences CentreVictoria HospitalOttawa Hospital
Fundersnot available
KeywordsMedicineEdoxabanLow molecular weight heparinHazard ratioCancerRandomized controlled trialVenous thromboembolismSurgeryConfidence intervalInternal medicineHeparinThrombosisWarfarinRivaroxaban

Abstract

fetched live from OpenAlex

Abstract On behalf of the Hokusai VTE Cancer Investigators The treatment of cancer-associated venous thromboembolism (VTE) is challenging because these patients are at increased risk of both recurrent VTE and major bleeding. Low-molecular-weight heparin (LMWH) treatment is standard care for these patients, but requires daily subcutaneous injections. Guidelines recommend LMWH treatment for 6 months, but the risk-benefit beyond this time is uncertain. Direct oral anticoagulants are used for the treatment of VTE in patients without cancer, but their role in patients with cancer- associated VTE is uncertain. In this randomized, open-label non-inferiority trial, cancer patients with acute symptomatic or incidental VTE were assigned to receive LMWH for a minimum of 5 days followed by the oral factor Xa inhibitor edoxaban at a dose of 60 mg once daily (or 30 mg once daily in patients with a creatinine clearance of 30 to 50 ml per minute or a body weight below 60 kg), or subcutaneous dalteparin 200 units per kg once daily for one month followed by 150 units per kg thereafter. Patients received these regimens for up to 12 months. The primary outcome was the composite of the first recurrent VTE or major bleeding event during follow-up for 12 months. Secondary outcomes included recurrent VTE and major bleeding analyzed separately, and survival free of recurrent VTE or major bleeding. The study hypothesis was that edoxaban would be noninferior to dalteparin for the primary outcome with an upper 95% confidence interval [CI] for the hazard ratio below 1.5, and a two-sided alpha of 0.05. All outcomes were independently adjudicated by a committee without knowledge of treatment allocation. This committee also assessed the clinical severity of major bleeding events using categorical criteria defined a priori (categories 1 to 4). From July 2015 through December 2016 a total of 1050 patients were enrolled at 114 centers in 13 countries; 525 were randomized to edoxaban and 525 to dalteparin. At entry, pulmonary embolism with or without deep-vein thrombosis was present in 657 patients (63%) while the remainder had isolated deep-vein thrombosis. Of the 1050 patents, 706 (67%) had symptomatic VTE and the rest were incidental. Active cancer at entry was present in 97% of the patients and 53% had metastatic disease. 1046 patients were included in the modified-intention-to-treat analysis. The primary outcome occurred in 67 of 522 patients (12.8%) in the edoxaban group compared with 71 of 524 patients (13.5%) in the dalteparin group (hazard ratio with edoxaban, 0.97; 95% CI, 0.70 to 1.36; P = 0.0056 for noninferiority) for a risk difference (edoxaban minus dalteparin) of - 0.7% (95% CI, - 4.8 to 3.4). The difference in risk for recurrent VTE was -3.8 % (95% CI, -7.1 to -0.4), whereas the corresponding difference in risk for major bleeding was 3.1% (95% CI, 0.5 to 5.7). The frequencies of severe major bleeding events (categories 3 and 4) were similar during treatment with edoxaban or dalteparin (12 patients in each group respectively). Survival at 12 months free of recurrent VTE and major bleeding in the edoxaban and dalteparin groups was similar (55.0% and 56.5% respectively). Oral edoxaban for up to 12 months is noninferior to subcutaneous dalteparin for the treatment of cancer-associated VTE. Disclosures Raskob: BMS: Consultancy, Honoraria; Eli Lilly: Consultancy; Janssen: Consultancy; Johnson and Johnson: Consultancy; Pfizer: Consultancy, Honoraria; Portola: Consultancy; Boehringer-Ingelheim: Consultancy; Medscape: Honoraria; Bayer Healthcare: Consultancy; Daiichi Sankyo: Consultancy, Honoraria. Van Es:Daiichi Sankyo: Honoraria; Pfizer: Honoraria. Verhamme:Daiichi Sankyo: Consultancy, Honoraria, Research Funding; Bayer Healthcare: Consultancy, Honoraria, Research Funding; BMS: Consultancy, Honoraria; Boehringer Ingelheim: Consultancy, Research Funding; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; Portola: Consultancy; Medscape: Honoraria; Leo: Honoraria, Research Funding; Sanofi Aventis: Research Funding; Medtronic: Honoraria, Membership on an entity's Board of Directors or advisory committees. Carrier:Daiichi Sankyo: Consultancy, Honoraria; BMS: Consultancy, Research Funding; Leo: Consultancy, Research Funding; Pfizer: Consultancy, Honoraria. Di Nisio:Daiichi: Consultancy, Honoraria. Garcia:Daiichi Sankyo: Honoraria, Research Funding; BMS: Consultancy; Boehringer Ingelheim: Consultancy; Janssen: Consultancy, Research Funding; Pfizer: Consultancy, Honoraria; Medscape: Honoraria; Incyte: Consultancy, Honoraria, Research Funding. Grosso:Daiichi Sankyo: Employment. Kakkar:Daiichi Sankyo: Consultancy, Honoraria; Bayer Healthcare: Consultancy, Research Funding; Boehringer Ingelheim: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Sanofi SA: Consultancy, Honoraria; Verseon: Consultancy, Honoraria. Kovacs:Daiichi Sankyo: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding; Bayer: Honoraria; Bristol Myers Squibb: Research Funding. Mercuri:Daiichi Sankyo: Employment, Patents & Royalties: pending properties of edoxaban . Meyer:BMS Pfizer: Research Funding; Leo: Other: travel support; Stago: Other: travel support. Segers:Ionis: Research Funding; Daiichi Sankyo: Research Funding; Janssen: Research Funding. Shi:Daiichi Sankyo: Employment. Wang:Daiichi Sankyo: Honoraria. Yeo:Daiichi Sankyo: Honoraria, Research Funding; Bayer Healthcare: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria; Boehringer Ingelheim: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Leo: Consultancy, Honoraria. Zhang:Daiichi Sankyo: Employment. Zwicker:Daiichi Sankyo: Honoraria; Quercegen Pharma: Research Funding; Parexel: Consultancy. Weitz:Daiichi-Sankyo: Consultancy, Honoraria; Ionis Pharmaceuticals: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Novartis Pharmaceuticals: Consultancy, Honoraria; Merck & Co., Inc.: Consultancy, Honoraria; Pfizer, Inc.: Consultancy, Honoraria; Portola Pharmaceuticals: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria; Medscape: Consultancy, Honoraria; Boehringer Ingelheim: Consultancy; Bayer HealthCare Pharmaceuticals: Consultancy, Honoraria. Büller:Daiichi Sankyo: Consultancy, Honoraria; Bayer: Consultancy, Honoraria; BMS: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria; Boehringer Ingelheim: Consultancy, Honoraria; Portola: Consultancy; Medscape: Honoraria; Eli Lilly: Consultancy; Sanofi Aventis: Consultancy; Ionis: Consultancy.

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)0.006
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0060.003
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.200
GPT teacher head0.477
Teacher spread0.276 · 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 designRandomized trial
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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Citations8
Published2017
Admission routes1
Has abstractyes

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