Very long–term risk of moderate-to-severe postthrombotic syndrome after deep vein thrombosis
Bibliographic record
Abstract
BACKGROUND: Postthrombotic syndrome (PTS) refers to manifestations of chronic venous insufficiency after a deep vein thrombosis (DVT). The risk of developing moderate-to-severe PTS in the very long term is largely unknown and particularly in case of distal DVT. Furthermore, the impact of DVT vs other causes of chronic venous insufficiency on long-term manifestations of PTS is also unknown. OBJECTIVES: To assess the very long-term risk of moderate-to-severe PTS after DVT and the role that DVT plays in PTS symptoms. METHODS: Patients with lower-limb DVT enrolled in the multicenter Optimisation de l'interrogatoire dans l'evaluation du risque thromboembolique veineux (OPTIMEV) study underwent a very long-term telephone follow-up. We assessed i) the proportion of moderate-to-severe PTS (assessed with the patient-reported Villalta score) according to DVT extent and ii) the population attributable fraction that DVT plays in patients' moderate-to-severe PTS manifestations. RESULTS: Fourteen years after DVT, moderate-to-severe PTS developed in 35 of 185 patients with distal DVT (18.9%; 95% CI, 13.5%-25.3%), 11 of 47 patients with popliteal DVT (23.4%; 95% CI, 12.3%-38.0%), and 27 of 74 patients with iliofemoral DVT (36.5%; 95% CI, 25.6%-48.5%). The population attributable fraction of DVT in moderate-to-severe symptoms of PTS was 25.7% (-18.1% to 53.3%) in patients with distal DVT, 27.3% (-63.7% to 67.7%) in patients with popliteal DVT, and 43.1% (+0.7%-67.4%) in patients with iliofemoral DVT. CONCLUSION: In the very long term after DVT, a quarter of patients have moderate-to-severe PTS manifestations. However, the impact of the DVT on these manifestations appears nonpredominant and varies according to DVT extent. Distal DVT does not significantly increase the risk of developing moderate-to-severe PTS.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".