The ultra-low molecular weight heparin (ULMWH) semuloparin for prevention of venous thromboembolism (VTE) in patients with cancer receiving chemotherapy: SAVE ONCO study.
Bibliographic record
Abstract
LBA9014 Background: Patients receiving chemotherapy for cancer are at increased risk for VTE; large randomized controlled trials (RCT) are needed to demonstrate benefit of antithrombotic prophylaxis. Semuloparin is a novel ULMWH with high anti-factor Xa and residual anti-factor IIa activities. We performed a multinational RCT to assess the efficacy and safety of semuloparin for VTE prevention in cancer patients receiving chemotherapy (SAVE-ONCO). Methods: This was a double-blind study in patients with metastatic or locally advanced cancer of lung, colon-rectum, stomach, ovary, pancreas, or bladder, initiating a new chemotherapy course. Patients were randomized to receive subcutaneous semuloparin, 20 mg od, or placebo, until change of chemotherapy. The primary efficacy outcome was the composite of any symptomatic deep vein thrombosis (DVT), non fatal pulmonary embolism (PE) and VTE-related death. Clinically relevant bleeding was the main safety outcome. Outcomes were adjudicated by an independent Committee. Results: Of 3,212 randomized patients, 68% had metastatic cancer; the majority had lung (37%) or colon-rectum (29%) cancer. Median treatment duration was ~3.5 months. Twenty of the 1,608 patients treated with semuloparin (1.2%) and 55 of the 1,604 patients treated with placebo (3.4%) had a thromboembolic event, representing a 64% risk reduction in such event rate (hazard ratio [HR]=0.36, 95% confidence interval [CI] 0.21–0.60, p<0.0001, intent-to-treat analysis). Treatment effect was consistent for DVT and PE, with a 59% risk reduction in PE rate (odds ratio 0.41, 95%CI 0.19–0.85). No heterogeneity in the benefit was observed for cancer type or stage. Nineteen of 1,589 patients (1.2%) in the semuloparin and 18 of the 1,583 patients (1.1%) in the placebo group had a major bleeding (HR=1.05, 95%CI 0.55 to 1.99). The rate of clinically relevant bleeding was 2.8% with semuloparin vs 2.0% with placebo (HR=1.40, 95%CI 0.89–2.21). Conclusions: We have demonstrated the benefit of thromboprophylaxis with semuloparin in patients receiving chemotherapy without increase in major bleeding. Such patients should be considered for thromboprophylaxis.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".