Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The post-thrombotic syndrome (PTS) is a frequent, sometimes disabling complication of deep vein thrombosis (DVT) that reduces quality of life and is costly. This article discusses risk factors for PTS after DVT and available means to prevent and treat PTS, with a focus on new information in the field. After DVT, PTS will develop in 20% to 50% of patients, and severe PTS, including venous ulcers, will develop in 5% to 10%. The principal risk factors for PTS are anatomically extensive DVT, recurrent ipsilateral DVT, persistent leg symptoms 1 month after acute DVT, obesity, and older age. By preventing the initial DVT and ipsilateral DVT recurrence, primary and secondary prophylaxes of DVT will prevent cases of PTS. Based on recent evidence from a large multicenter trial, routine use of elastic compression stockings (ECS) after DVT to prevent PTS is not advocated, but in patients with DVT-related leg swelling that is bothersome, a trial of ECS is reasonable. Selecting DVT patients for catheter-directed thrombolytic treatment as a means of preventing PTS should be done on a case-by-case basis, with a focus on patients with extensive thrombosis, recent symptoms onset, and low bleeding risk. For patients with established PTS, daily use of ECS may help to relieve symptoms and edema. Intermittent compression devices can be tried in patients with moderate-to-severe PTS whose symptoms are inadequately controlled with ECS alone. A supervised exercise training program may improve PTS symptoms. Management of post-thrombotic ulcers should ideally involve a multidisciplinary approach. Important areas for future research are summarized.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| 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) | 0.001 | 0.005 |
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 it