Switching to Warfarin after 6-Month Completion of Anticoagulant Treatment for Cancer-Associated Thrombosis
Bibliographic record
Abstract
Abstract Background: Low-molecular-weight heparin (LMWH) is considered to be an anticoagulation therapy for the treatment of cancer-associated thrombosis. The duration of treatment is recommended to maintain at least 3-6 months after the diagnosis. However, the data on continuing LMWH treatment beyond six months remains unclear. Methods: Consecutive cancer-associated thrombosis patients who were enrolled in RIETE Registry were evaluated. We systematically selected the patients who completed treatment with LMWH for 6 months. The patients were divided into two groups whether they continued to receive LMWH or switched to warfarin. The main outcomes were recurrent venous thromboembolism (VTE), major bleeding and total bleeding. Survival curves were generated using Kaplan-Meier method and the curves were compared using the log-rank test. Hazard ratio (HR) with corresponding 95% confidence interval (CI) were calculated using Cox-proportional hazard (PH) model. Outcomes: of the 1,502 eligible patients who completed 6-month anticoagulant therapy, 763 patients continued to received LMWH and 739 switched to warfarin. There was no significant difference in terms of recurrent VTE between two study groups (hazard ratio [HR] 0.67, 95% confidence interval [CI]; 0.44-1.02, p=0.06), Figure 1. The cumulative incidence of major bleeding was 2.6% in LMWH group and 2.7% in warfarin group (HR 1.05, 95%CI; 0.79-1.55, p=0.79), Figure 2. The cumulative incidence of total bleeding was 6.7% in LMWH group and 7.0% in warfarin group (HR 0.92, 95%CI; 0.62-1.37, p=0.70). Conclusions: In patients with cancer-associated thrombosis who completed 6-month of anticoagulation therapy, switching to warfarin is not associated with increase in recurrent VTE, major bleeding or total bleeding when compared to continuing LMWH. Warfarin is an acceptable alternative anticoagulant in cancer-associated thrombosis patients who do not tolerate long-term treatment with LMWH. Disclosures Monreal: Bayer: Consultancy, Membership on an entity's Board of Directors or advisory committees; sanofi: Consultancy, Membership on an entity's Board of Directors or advisory committees; boehringer: Consultancy, Membership on an entity's Board of Directors or advisory committees; daichii: Consultancy, Membership on an entity's Board of Directors or advisory committees.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".