Post-thrombotic syndrome: current prevention and management strategies
Bibliographic record
Abstract
The post-thrombotic syndrome (PTS) is the most commonly occurring long-term complication of deep vein thrombosis (DVT) with a cumulative incidence of up to 50% within the first 2 years after the thrombotic event. It is characterized by the development of various symptoms and signs related to chronic venous disease in a limb previously affected by DVT. PTS is a condition that significantly impairs quality of life and results in substantial burden to patients and society. So far, treatment options for PTS are limited, and strategies that prevent PTS occurrence are therefore of pivotal importance. These include compression therapy, prevention of recurrent ipsilateral DVT and possibly endovascular catheter-directed thrombolytic procedures. Clinical predictors of PTS are progressively characterized, but the ability to predict which patient with DVT is likely to develop PTS remains limited.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.005 |
| 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".