Clinical aspects of venous thromboembolism in special patient populations
Bibliographic record
Abstract
In the field of venous thromboembolism (VTE), comprising deep vein thrombosis (DVT) and pulmonary embolism (PE), incredible progression has been made throughout the centuries regarding our knowledge on the epidemiology, pathophysiology, prevention, diagnosis, treatment and prognosis of the disease. Various clinical aspects of the disease in specific patient populations and some rare forms of VTE have not yet been fully addressed. This thesis aims to evaluate several clinical elements of VTE in special patient populations. Part 1 describes several aspects of sex-specific VTE, in particular pregnancy, the use of hormonal contraceptives, and anticoagulant-associated vaginal bleeding. In part 2, the relationship between cancer and VTE is addressed, with a focus on unsuspected PE in cancer patients, which is an increasingly common finding. Part 3 aims to increase the knowledge on upper extremity deep vein thrombosis (UEDVT), a rare form of VTE. Several aspects are discussed. Finally, in part 4, insight is provided into the clinical impact of bleeding events with the use of oral factor Xa (fXa) inhibitors versus vitamin K antagonists (VKA) in patients with 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".