The Effect of Thrombolysis of Deep Vein Thrombosis on Late Symptoms of Post–Pulmonary Embolism Syndrome
Bibliographic record
Abstract
In the Acute Venous Thrombosis: Thrombus Removal with Adjunctive Catheter-Directed Thrombolysis (ATTRACT) trial, 691 patients were randomly assigned to receive or not receive pharmacomechanical catheter-directed thrombolysis (PCDT) to treat acute proximal deep vein thrombosis (DVT). Serious adverse events and suspected pulmonary embolism (PE) (collectively, "late symptom events" [LSEs]) were reported. An independent physician, blinded to treatment allocation, categorized LSEs occurring 1-24 months after randomization by whether they could relate to post-PE syndrome. PE-related LSEs were frequent (66.7%) in patients who presented with diagnosed or suspected PE and infrequent (2.0%) in others; however, PCDT did not influence their occurrence (PCDT, 11.0% vs No-PCDT, 11.0; P = 1.000). However, in the iliofemoral DVT subgroup, patients in the PCDT arm had fewer PE-related LSEs per patient (PCDT, 0.14 vs No-PCDT, 0.24; P = .036) and fewer PE-related breathing/lung LSEs per patient (PCDT, 0.08 vs No-PCDT, 0.16; P = .023). PCDT was associated with a lower incidence of PE-related LSEs in patients with iliofemoral DVT who presented with PE symptoms at baseline. Evaluation for post-PE syndrome after DVT thrombolysis can be focused on this subset of patients.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".