Relationship Between Deep Venous Thrombosis and the Postthrombotic Syndrome
Bibliographic record
Abstract
The postthrombotic syndrome (PTS) is a frequent complication of deep venous thrombosis (DVT). Clinically, PTS is characterized by chronic, persistent pain, swelling, and other signs in the affected limb. Rarely, ulcers may develop. Because of its prevalence, severity, and chronicity, PTS is burdensome and costly. Preventing DVT with the use of effective thromboprophylaxis in high-risk patients and settings and minimizing the risk of ipsilateral DVT recurrence are likely to reduce the risk of development of PTS. Daily use of compression stockings after DVT might reduce the incidence and severity of PTS, but consistent and convincing data about their effectiveness are not available. Future research should focus on standardizing diagnostic criteria for PTS, identifying patients at high risk for PTS, and rigorously evaluating the role of thrombolysis in preventing PTS and of compression stockings in preventing and treating PTS. In addition, novel therapies should be sought and evaluated.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".