Thrombolysis in May-Thurner Syndrome and Iliofemoral DVT
Bibliographic record
Abstract
Post-thrombotic syndrome (PTS) describes residual leg swelling, pain, and venous insufficiency that persists after acute deep vein thrombosis (DVT). PTS occurs in 40 to 60% of patients and contributes significantly to patient morbidity and healthcare costs. Despite standard therapy including anticoagulation, early ambulation, and compression stockings. PTS is more common in iliofemoral DVT. Despite conflicting evidence, there has been increasing use of endovascular therapies such as thrombolysis, thrombectomy, and venous stenting to reduce the incidence of PTS. May-Thurner Syndrome (MTS) is a significant risk factor for the development of iliofemoral DVT and PTS because of the compression of the left common iliac vein by the overlying right common iliac artery. The main objective is to review the evidence for endovascular management of iliofemoral DVT using MTS as an illustration of a patient population that may benefit from this therapy. Currently, endovascular therapies are not the recommended routine management of nongangrenous iliofemoral DVT. But can be considered in exceptional cases, such as MTS or other compressive syndromes, for obtaining venous patency and potentially prevent 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".