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Record W2174444939 · doi:10.1182/blood.v122.21.211.211

Edoxaban For Long-Term Treatment Of Venous Thromboembolism In Cancer Patients

2013· article· en· W2174444939 on OpenAlexaff
Gary E. Raskob, Harry R. Büller, Pantep Angchaisuksiri, Doyeun Oh, Z Boda, Roger M. Lyons, Jeffrey I. Weitz, George Zhang, Hans Lanz, Michele Mercuri

Bibliographic record

VenueBlood · 2013
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsMcMaster UniversityThrombosis and Atherosclerosis Research Institute
Fundersnot available
KeywordsMedicineVenous thromboembolismEdoxabanCancerInternal medicineIntensive care medicineSurgeryThrombosisWarfarinRivaroxabanAtrial fibrillation

Abstract

fetched live from OpenAlex

Abstract Low-molecular-weight heparin (LMWH) is recommended for long-term anticoagulant therapy in cancer patients with venous thromboembolism (VTE). These patients have been mostly excluded from clinical trials comparing new oral anticoagulants with vitamin-K antagonists. Hokusai-VTE was a global randomized, double-blind, non-inferiority trial (margin 1.5) that compared edoxaban, an oral factor Xa inhibitor, with warfarin for long-term therapy in 8,292 patients with acute symptomatic proximal deep-vein thrombosis and/or pulmonary embolism; all patients received initial LMWH treatment for at least 5 days. Patients with active cancer in whom long-term treatment with LMWH was anticipated were excluded, but patients with a history of cancer or with active cancer were eligible if long-term LMWH treatment was not planned due to availability, physician judgment or patient preference; the analysis of outcomes in these patients was pre-specified before the trial. The edoxaban dose was 60 mg once daily (30 mg in patients with body weight less than 60 kg or creatinine clearance 30 to 50 ml/min). Warfarin was adjusted to maintain the INR between 2.0 and 3.0. The primary efficacy outcome was recurrent symptomatic VTE. The efficacy analysis included all patients who received at least one dose of study drug, and included all outcomes through 12 months follow-up or study closure, regardless of the duration of treatment. The principal safety outcome was major or clinically relevant non-major bleeding, occurring on treatment or within 3 days of stopping treatment. All outcomes were adjudicated by an independent committee blinded to treatment allocation. A total of 771 cancer patients (9.3%) were enrolled (208 with active cancer and 563 with a history of cancer).The baseline clinical characteristics of patients in the edoxaban and warfarin groups were similar. The median duration of treatment in the edoxaban group was 267 days and in the warfarin group was 266 days (interquartile range 180 to 360 days in both groups). Among patients with active cancer, recurrent VTE occurred in 4 of 109 patients (3.7%) who received edoxaban and in 7 of 99 patients (7.1%) who received warfarin (hazard ratio 0.55, 95% CI 0.16 to 1.85). Clinically relevant bleeding (major or non-major) occurred in 20 patients (18.3%) given edoxaban (5 patients with major, 4.6%) and 25 patients (25.3%) given warfarin (3 patients with major, 3.0%) (hazard ratio for clinically relevant bleeding 0.72, 95% CI 0.40 to 1.30). Among all 771 cancer patients at entry, recurrent VTE occurred in 14 of 378 patients (3.7%) given edoxaban and in 28 of 393 patients (7.1%) who received warfarin (hazard ratio 0.53, 95% CI 0.28 to 1.00). Clinically relevant bleeding (major or non-major) occurred in 47 patients (12.4%) given edoxaban (10 patients with major, 2.6%) and 74 patients (18.8%) given warfarin (13 patients with major, 3.3%) (hazard ratio for clinically relevant bleeding 0.64, 95% CI 0.45 to 0.92). Among patients without cancer, either at entry or occurring during follow-up, recurrent VTE occurred in 103 of 3,658 patients (2.8%) given edoxaban and in 99 of 3,629 (2.7%) who received warfarin (hazard ratio 1.03, 95% CI 0.78 to 1.36, p=0.004 for non-inferiority). Clinically relevant bleeding (major or non-major) occurred in 280 of 3658 patients (7.7%) who received edoxaban (39 patients with major, 1.1%) and in 330 of 3629 patients (9.1%) given warfarin (48 patients with major, 1.3%) (hazard ratio for clinically relevant bleeding 0.83, 95% CI 0.71 to 0.97, p=0.022). The results suggest edoxaban is as effective, and possibly more effective, than warfarin in cancer patients with VTE. In such patients, bleeding is appreciable during anticoagulant therapy, and may potentially be reduced by edoxaban therapy. Additional studies of edoxaban for initial and long-term therapy of VTE in cancer patients are indicated, with LMWH as the comparator, and including lower doses of edoxaban to determine if bleeding can be further reduced without loss of efficacy. Disclosures: Raskob: Daiichi-Sankyo Pharma: Consultancy; Bayer Healthcare: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; BMS: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; Janssen Pharmaceuticals: Consultancy, Membership on an entity’s Board of Directors or advisory committees; Johnson and Johnson: Consultancy, Membership on an entity’s Board of Directors or advisory committees; Pfizer: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; Sanofi-Aventis: Consultancy; Quintiles: Consultancy; Portola: Consultancy; Takeda: Consultancy. Off Label Use: presentation of subgroup analysis from phase III clinical trial. Buller:Daiichi Sankyo : Consultancy, Membership on an entity’s Board of Directors or advisory committees; Bayer Healthcare: Consultancy, Membership on an entity’s Board of Directors or advisory committees, Research Funding; Boehringer Ingelheim: Honoraria, Membership on an entity’s Board of Directors or advisory committees; Pfizer: Consultancy, Membership on an entity’s Board of Directors or advisory committees, Research Funding; BMS: Honoraria, Membership on an entity’s Board of Directors or advisory committees; Isis Pharmaceuticals: Honoraria, Membership on an entity’s Board of Directors or advisory committees; ThromboGenics: Honoraria, Membership on an entity’s Board of Directors or advisory committees. Angchaisuksiri:Daiichi Sankyo: Membership on an entity’s Board of Directors or advisory committees, Research Funding. Oh:Daiichi Sankyo : Membership on an entity’s Board of Directors or advisory committees, Research Funding. Boda:Daiichi Sankyo: Membership on an entity’s Board of Directors or advisory committees, Research Funding. Lyons:Daiichi Sankyo: Membership on an entity’s Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity’s Board of Directors or advisory committees, Research Funding; Lilly: Membership on an entity’s Board of Directors or advisory committees, Research Funding; Gilead: Membership on an entity’s Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity’s Board of Directors or advisory committees, Research Funding. Weitz:Daiichi Sankyo: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; BMS: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; Pfizer: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; Boehringer Ingelheim: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; Bayer Healthcare: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; Janssen : Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; Merck: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; Portola: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees. Zhang:Daiichi Sankyo: Employment. Lanz:Daiichi Sankyo: Employment. Mercuri:Daiichi Sankyo: Employment.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.292
Teacher spread0.271 · 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 designObservational
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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Citations22
Published2013
Admission routes1
Has abstractyes

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