MétaCan
Menu
Back to cohort
Record W2114788433 · doi:10.1177/1076029613481845

Effect of Long-Term LMWH on Post-thrombotic Syndrome in Patients With Iliac/Noniliac Venous Thrombosis

2013· article· en· W2114788433 on OpenAlexafffund
Russell D. Hull, Jane Liang, Tazmin Merali

Bibliographic record

VenueClinical and Applied Thrombosis/Hemostasis · 2013
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsUniversity of Calgary
FundersCanadian Institutes of Health Research
KeywordsMedicineOdds ratioThrombosisWarfarinLow molecular weight heparinConfidence intervalSurgeryThrombolysisInternal medicineIncidence (geometry)Deep veinPost-thrombotic syndromeVenous thrombosisRetrospective cohort studyCohortPopulation

Abstract

fetched live from OpenAlex

Patients with iliac deep vein thrombosis (DVT) have a poor prognosis and high incidence of postthrombotic syndrome (PTS). We evaluated the effect of low-molecular-weight heparin (LMWH; tinzaparin) versus usual care (tinzaparin plus warfarin for ≥12 weeks at home) in the development of PTS according to DVT location (iliac/noniliac) by retrospective analysis of the Home-LITE cohort (480 patients with proximal DVT). Patients with iliac DVT had an overall odds ratio of 0.53 (95% confidence interval [CI] 0.33, 0.83; P = .0079) for PTS (including ulcer data) in favor of tinzaparin. Patients with noniliac DVT had a similar odds ratio (0.79 [95% CI 0.67, 0.93], P = .0046) to that reported in the overall Home-LITE population (0.76 [95% CI 0.66, 0.89], P = .0004; including ulcer data), both in favor of tinzaparin. Long-term LMWH may be a suitable alternative for the prevention of PTS in patients with iliac DVT who are unlikely to undergo invasive thrombolysis.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.017
GPT teacher head0.302
Teacher spread0.285 · 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 teacher head, not a consensus.

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

Citations18
Published2013
Admission routes2
Has abstractyes

Explore more

Same venueClinical and Applied Thrombosis/HemostasisSame topicVenous Thromboembolism Diagnosis and ManagementFrench-language works237,207