Screening for Occult Cancer in Patients with Venous Thromboembolism
Bibliographic record
Abstract
Unprovoked venous thromboembolism (VTE) can be the first sign of an occult cancer. The rate of occult cancer detection within 12 months of a newly diagnosed unprovoked VTE is approximately 5%. Therefore, it is appealing for clinicians to screen patients with unprovoked VTE for occult cancer, as it could potentially decrease cancer-related mortality and morbidity and improve quality of life. However, several randomized controlled trials have failed to report that an extensive occult cancer screening strategy (e.g., computed tomography of the abdomen/pelvis) is improving these patient-important outcomes. Therefore, clinical guidance documents suggest that patients should only undergo a limited screening strategy including a thorough medical history, physical examination, basic laboratory investigations (i.e., complete blood count and liver function tests), chest X-ray, as well as age- and gender-specific cancer screening (breast, cervical, colon and prostate). More intensive occult cancer screening including additional investigations is not routinely recommended. This narrative review will focus on the epidemiology, timing, and evidence regarding occult cancer detection in patients with unprovoked VTE.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".