Primary prevention of venous thromboembolism in ambulatory cancer patients: recent advances and practical implications
Bibliographic record
Abstract
Venous thromboembolism (VTE) is a common complication in ambulatory cancer patients receiving anticancer therapies. Many patient-, cancer-, and treatment‑related factors along with specific biomarkers can be associated with an increased risk of VTE in patients with cancer. Risk assessment models, such as the Khorana score, serve as valuable tools to aid in the identification of patients with cancer who are at high risk of VTE. Two randomized controlled trials have evaluated the efficacy of primary thromboprophylaxis with low‑dose direct oral anticoagulants, apixaban and rivaroxaban, to reduce the risk of VTE in ambulatory patients with cancer who are at intermediate to high risk of VTE identified by the Khorana score. This narrative review summarizes the literature on the risk factors and risk assessment process for VTE, and the use of primary thromboprophylaxis in ambulatory cancer patients. We also outline important practical considerations for initiating primary thromboprophylaxis in this population.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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".