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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).

2005· article· en· W597837577 on OpenAlexaffabout
Susan R. Kahn, Thiérry Ducruet, Louise Arsenault, Marie José Miron, André Roussin, Sylvie Desmarais, France Joyal, Jeannine Kassis, Susan Solymoss, Louis Desjardins, Mira Johri, Ian Shrier, Donna L. Lamping, Jeffrey S. Ginsberg

Bibliographic record

VenueBlood · 2005
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsUniversité LavalMcGill UniversityUniversité de MontréalMcMaster UniversityJewish General Hospital
Fundersnot available
KeywordsMedicinePost-thrombotic syndromeCumulative incidenceThrombosisCohortDeep veinIncidence (geometry)Prospective cohort studyVenous thrombosisSurgeryInternal medicinePediatrics

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.403
Threshold uncertainty score0.810

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.009
GPT teacher head0.262
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2005
Admission routes2
Has abstractyes

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