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Comparison of Performance of Two Clinical Scales To Diagnose the Post-Thrombotic Syndrome: Correlation with Patient-Reported Disease Burden and Valvular Reflux.

2005· article· en· W2993214242 on OpenAlexaffabout
Susan R. Kahn, Sylvie Desmarais, Thiérry Ducruet, Louise Arsenault, Jeffrey S. Ginsberg

Bibliographic record

VenueBlood · 2005
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsMcMaster UniversityJewish General Hospital
Fundersnot available
KeywordsPost-thrombotic syndromeMedicineRefluxDeep veinCohortInternal medicineDiseaseThrombosisQuality of life (healthcare)Prospective cohort studyPhysical therapySurgery

Abstract

fetched live from OpenAlex

Abstract Background and Objectives: There is no objective, criterion standard test to diagnose the post thrombotic syndrome (PTS). Two clinical scales have been used to classify deep vein thrombosis (DVT) patients as having or not having the PTS: the Villalta scale and the Ginsberg measure. Differences in test characteristics of these measures could help explain differing rates of PTS reported after DVT. During a Canadian prospective cohort study of long-term outcomes after DVT (The VETO Study), we carried out a substudy to evaluate agreement between the Villalta and Ginsberg measures with regard to (1) proportion of patients classified as having PTS; (2) relation to patient-reported quality of life (QOL); and (3) correlation with venous valvular reflux, a physiological indicator of chronic venous disease. Methods: For this substudy, 259 VETO patients were assessed for ipsilateral PTS at the 1 year follow-up visit using both the Villalta scale (grades the severity of 5 symptoms and 6 signs from 0–3; a summed total score of ≥5 indicates PTS, and >14 or presence of ulcer indicates severe PTS) and the Ginsberg PTS measure (PTS defined by the presence of daily leg pain and swelling for ≥ 1 month, occurring 6 months or more after DVT, made worse by standing/walking and relieved by rest/leg elevation). Patients also completed generic (SF-36) and disease-specific (VEINES-QOL) QOL questionnaires and underwent a standardized ultrasound assessment for ipsilateral popliteal venous valvular reflux. We compared the proportion of patients classified as having PTS with each measure and assessed associations with QOL and valvular reflux. Results: Proportion of patients classified as having PTS was 96/259 (37%) (5/96 severe) with the Villalta scale and 21/259 (8.1%) with the Ginsberg measure (kappa 0.22; 95% CI 0.13, 0.32). Agreement between measures was better for severe PTS than for any PTS. For both measures, generic and disease specific-QOL scores were significantly lower (i.e. poorer QOL) in patients with vs. without PTS; however, QOL was worse in patients with Ginsberg-PTS than in patients with Villalta-PTS. Reflux was not significantly associated with PTS for either measure. Conclusions: The proportion of patients classified as having PTS was more than 4-fold higher with the Villalta measure than with the Ginsberg measure. While both measures showed a graded association with QOL, patients with Ginsberg-PTS had poorer QOL and higher mean Villalta scores, indicating that the Ginsberg measure identifies more severe disease. The presence of reflux was not discriminating for the diagnosis of PTS with either measure. Comparison of Villalta and Ginsberg PTS measures Villalta PTS Ginsberg PTS Mean (SD) YES NO p YES NO p Villalta score 8.3 (3.1) 1.6 (1.4) <.0001 9.2 (3.5) 3.6 (3.4) <.0001 SF-36 MCS (mental) 49.5 (12.1) 54.2 (8.3) .0007 47.3 (12.6) 52.9 (9.7) 0.01 SF-36 PCS (physical) 39.7 (11.0) 49.1 (10.0) <.0001 35.0 (12.4) 46.8 (10.8) <.0001 VEINES-QOL 48.6 (6.1) 56.2 (2.5) <.0001 44.1 (5.6) 54.2 (5.1) <.0001 Reflux present (%) 54.6% 44.0% 0.12 52.6% 46.2% 0.59

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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)0.002
metaresearch head score (Gemma)0.007
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 score0.008
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.000
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 head0.022
GPT teacher head0.329
Teacher spread0.307 · 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".

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Citations4
Published2005
Admission routes2
Has abstractyes

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