Comorbidities, alone and in combination with D-dimer, as risk factors for recurrence after a first episode of unprovoked venous thromboembolism in the extended follow-up of the PROLONG study
Bibliographic record
Abstract
The PROLONG randomised clinical trial showed that an abnormal D-dimer at one month after vitamin K antagonist (VKA) suspension for a first episode of unprovoked venous thromboembolism (VTE) is associated with a higher risk of recurrence. However, other patient characteristics, such as comorbidities, in combination with D-dimer could also influence the recurrence risk. It was the objective of this study to assess the predictive value of comorbidities and D-dimer in combination for recurrence after withdrawal of VKA in patients enrolled in the PROLONG study. On the day of VKA suspension, the presence of known (coronary, peripheral,cerebral) vascular disease, chronic inflammatory bowel disease, chronic obstructive pulmonary disease, autoimmune disease, diabetes, arterial hypertension, obesity and dyslipidaemias was registered. D-dimer was measured at 30 +/- 10 days afterwards. The primary outcome was recurrent objectively documented VTE. Mean follow-up was 2.55 years. An abnormal D-dimer was observed in 44% (135/309) of patients with comorbidities and in 29% (87/299) of patients without (p=0.0003). An on-treatment analysis was conducted in 483 patients in whom VKAs were not resumed. In patients with a normal D-dimer, recurrences were observed in 14.3% (24/168) of patients with comorbidities and 10.8% (22/203) of subjects without (p=ns). In patients with an abnormal D-dimer, recurrences were observed in 24.6% (16/65) patients with comorbidities and 21.3% (10/47) of patients without (p=ns). Although abnormal D-dimer levels were significantly more frequent in patients with comorbidities, D-dimer was an independent risk factor for recurrence and the presence of comorbidities did not increase the risk of recurrence associated with an abnormal post-anticoagulation D-dimer.
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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 | 0.002 | 0.004 |
| 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 | 0.000 |
| 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".