Anticoagulation for the initial treatment of venous thromboembolism in patients with cancer
Bibliographic record
Abstract
BACKGROUND: The authors compared the relative efficacy and safety of low-molecular-weight heparin (LMWH) and unfractionated heparin (UFH) for the initial treatment of venous thromboembolism (VTE) between patients with and without cancer. METHODS: By using Cochrane methodology for systematic reviews, separate meta-analyses were conducted for subgroups of patients with and without cancer, and relative risks (RRs) were compared for statistical significance. The methodologic quality for each outcome was assessed by using the Grading of Recommendations Assessment, Development, and Evaluation approach. RESULTS: LMWH reduced mortality significantly compared with UFH in patients with cancer (RR of 0.71; 95% confidence interval [95% CI], 0.52-0.98 [moderate-quality evidence]) but not in patients without cancer (RR of 0.97; 95% CI, 0.65-1.46 [low-quality evidence]). However, the difference in the RR for the 2 subgroups did not reach statistical significance (P = .113). The difference between LMWH and UFH in the effect on recurrent VTE was not statistically significant in the subgroup with cancer (RR of 0.78; 95% CI, 0.29-2.08 [low-quality evidence]), in the subgroup without cancer (RR of 0.94; 95% CI, 0.60-1.46 [low-quality evidence]), or between the 2 subgroups (P = .367). No data were available for bleeding outcomes, thrombocytopenia, or postphlebitic syndrome. CONCLUSIONS: The current results indicated that LMWH most likely is superior to UFH in reducing mortality in the initial treatment of VTE for patients with cancer. There is a need for more and better designed trials to confirm these findings.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".