Incidence, Timing of Onset and Severity of Post-Thrombotic Syndrome after Acute Symptomatic Deep Vein Thrombosis: Two-Year Results from a Canadian Multicenter Prospective Cohort Study (The VETO Study).
Bibliographic record
Abstract
Abstract Background and Objectives: The post thrombotic syndrome (PTS) is a chronic complication of deep venous thrombosis (DVT). It is difficult to provide DVT patients with long-term prognostic information as there is little longitudinal data on the occurrence of PTS after DVT. We performed a prospective multicenter study of long-term outcomes after DVT (the Venous Thrombosis Outcomes [VETO] Study) to determine the incidence, timing of onset and severity of PTS. Methods: Consecutive patients with objectively diagnosed acute DVT were recruited at 7 participating hospital centres from April 2001-July 2002. Patients attended study visits at Baseline, 4, 8, 12 and 24 months. Clinical data were recorded and standardized assessments for PTS (using Villalta scale) were performed by trained study personnel at each follow-up visit. Patients were classified as having developed PTS if the ipsilateral Villalta score was ≥ 5 on at least 2 visits or at the final follow-up visit, and having severe PTS if a score of >14 or a venous ulcer was documented on any one occasion. The Kaplan-Meier survival method was used to estimate the cumulative probability of PTS and of severe PTS over time. Results: The study cohort consisted of 359 patients. The mean age was 56 years, 50% were male, 2/3 were outpatients, 55% had proximal DVT and 20% had previous DVT. The Kaplan-Meier estimates of cumulative risk of PTS were 29% at 4 months, 33% at 8 months, 35% at 12 months and 37% at 24 months. Corresponding risks of severe PTS were 6.6%, 6.9%, 6.9% and 6.9%, respectively. When the analysis was stratified according to history of DVT, the cumulative incidence of PTS in patients without previous DVT was 25%, 28%, 30% and 31% at 4, 8, 12 and 24 months. Corresponding rates of PTS in patients with previous DVT were 45%, 51%, 53% and 57%. Conclusions: More than one third of patients in our cohort developed PTS within 2 years of DVT, and of these, 1 in 6 was classified as severe. Most cases of PTS and of severe PTS were apparent by 4 months after DVT. Patients with previous DVT had a higher frequency of PTS and of late onset PTS. Our study provides longitudinal data on prognosis that is relevant both to patients with DVT and their treating physicians.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".