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Record W2980644984 · doi:10.1182/blood.v122.21.460.460

Predictors Of The Post-Thrombotic Syndrome In a Large Cohort Of Patients With Proximal DVT: Secondary Analysis Of The Sox Trial

2013· article· en· W2980644984 on OpenAlexaffabout
Susan R. Kahn, Stan Shapiro, Philip S. Wells, Marc Rodger, Michael J. Kovacs, David R. Anderson, Vicky Tagalakis, Adrielle H Houweling, Thiérry Ducruet, Susan Solymoss, Marie‐José Miron, Erik Yeo, Reginald Smith, D Pharm, Sam Schulman, Jeannine Kassis, Clive Kearon, Isabelle Chagnon, Turnly Wong, Christine Demers, Rajendar Hanmiah, Scott Kaatz, Rita Selby, Suman Rathbun, Sylvie Desmarais, Lucie Opatrny, Thomas L. Ortel, Jeffrey S. Ginsberg

Bibliographic record

VenueBlood · 2013
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsSt Mary's Hospital CentreUniversity of TorontoHamilton General HospitalCentre hospitalier universitaire de QuébecSt. Boniface HospitalUniversité de MontréalHôpital Notre-DameMcMaster UniversityThrombosis and Atherosclerosis Research InstituteHôpital Maisonneuve-RosemontHealth Sciences CentreHôpital du Sacré-Cœur de MontréalSt. Joseph's HospitalOttawa HospitalVictoria Heart Institute FoundationUniversity Health NetworkUniversity of OttawaDalhousie UniversityUniversity of ManitobaJewish General HospitalMontreal General HospitalSunnybrook Health Science CentreMcGill UniversityLondon Health Sciences Centre
Fundersnot available
KeywordsMedicinePost-thrombotic syndromeCumulative incidenceHazard ratioCohortInternal medicineBody mass indexPlaceboSurgeryProportional hazards modelClinical endpointThrombosisConfidence intervalDeep veinIncidence (geometry)Pulmonary embolismRandomized controlled trial

Abstract

fetched live from OpenAlex

Background The post-thrombotic syndrome (PTS) is a frequent complication of deep venous thrombosis (DVT). Identifying predictors of PTS is important to counsel DVT patients on their expected prognosis and to identify patients who may benefit from closer monitoring or preventive strategies. Objective In a secondary analysis of the SOX Trial, we aimed to identify predictors of developing PTS during 2 years follow-up after a first episode of proximal DVT. Methods The study cohort consisted of participants in the SOX Trial, a multicenter (24 centres in Canada and U.S.) randomized placebo controlled trial of active elastic compression stockings vs. placebo stockings worn for 2 years after a first, symptomatic proximal DVT. PTS, the primary study endpoint, was diagnosed at or after the 6 month visit based on patient-reported pain and swelling of ≥ 1 month duration that were typical in character, i.e. worse at end of day or after prolonged sitting/standing and improved after rest/leg elevation (Ginsberg criteria). Cumulative incidences of PTS were compared in subgroups defined by sex, age category, body mass index (BMI) category, anatomic extent of index DVT, type of DVT (cancer-associated, secondary risk factor-associated, unprovoked) and 1-month Villalta score category (score 0-4: none; 5-9, mild; 10-14, moderate; >14, severe), using Cox regression. Losses to follow-up, withdrawals and deaths were censored as of last date of follow-up. Results are presented as cumulative incidence by 750 days follow-up and hazard ratios (HR) with 95% confidence intervals (CI). Results Among the 803 participants in the SOX Trial, 60% were male, mean age was 55.1 years, and 87% were out-patients. In analyses adjusted for intervention group (i.e. allocation to active vs. placebo stockings), iliac vein DVT (HR 2.26 [95% CI 1.12, 4.53]; reference category: popliteal DVT) and Villalta score category at 1 month after DVT (score 5-9, HR 2.74 [95% CI 1.62, 4.64]; score 10-14, HR 5.81[95% CI 2.99, 11.29]; score >14, HR 7.59 [95% CI 3.31, 17.44]; reference category: score <5) were significant predictors of PTS. In analyses adjusted for intervention group and all predictor variables of interest, Villalta score category at 1 month was a highly statistically significant, independent predictor of PTS (see Table). Age, sex, BMI and type of DVT did not predict development of PTS. Conclusions In a large prospective cohort of patients with proximal DVT who were participants in the SOX Trial, Villalta score category (which reflects severity of venous symptoms and signs) at 1 month after DVT was strongly predictive of development of PTS during 2 years follow-up. This confirms a similar finding that we first observed in the VETO cohort study (Kahn SR et. al., Annals Intern Med 2008). More extensive DVT was also associated with PTS. Patients with these risk factors may benefit from closer monitoring after proximal DVT, and in the case of iliac vein DVT, from more aggressive strategies to treat acute DVT. Disclosures: No relevant conflicts of interest to declare.

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)0.004
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.004
GPT teacher head0.200
Teacher spread0.196 · 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
Published2013
Admission routes2
Has abstractyes

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