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Record W1981686628 · doi:10.1186/ar3987

Risk of pulmonary embolism and deep vein thrombosis in systemic lupus erythematosus: a population-based cohort study

2012· article· en· W1981686628 on OpenAlexafffundabout
JA Aviña-Zubieta, Diane Lacaille, E.C. Sayre, Jacek A. Kopec, HK Choi, J. Esdaile

Bibliographic record

VenueArthritis Research & Therapy · 2012
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsArthritis Research Centre of CanadaUniversity of British Columbia
FundersNational Institutes of HealthCanadian Arthritis NetworkNational Institute of Arthritis and Musculoskeletal and Skin DiseasesArthritis SocietyLupus Research AllianceArthritis Foundation
KeywordsMedicinePulmonary embolismDeep veinRheumatologyThrombosisInternal medicineCohortPopulationCardiologyCohort studyVenous thrombosis

Abstract

fetched live from OpenAlex

A recent hospital-based study suggested a 10-fold increased risk of pulmonary embolism among individuals with systemic lupus erythematosus (SLE) in the year following hospital admission. It is unknown whether the risk is similar among the nonhospitalized SLE population. We estimated the risk of incident pulmonary embolism (PE) and deep venous thrombosis (DVT) events, as well as the associated time trend, among incident cases of SLE compared with general population controls using physician billing and hospitalization data for the entire province of British Columbia, Canada (~5 million). Our data included all visits to health professionals and hospital admissions covered under the province's universal healthcare plan from 1 January 1990 until 31 December 2007 for all individuals ≥18 years of age. We conducted a matched cohort study among patients meeting the following criteria: ≥18 years of age, and new diagnosis of SLE based on the following algorithm: one ICD code for SLE on rheumatologist visit billing data or on hospitalization data, or two ICD codes for SLE at least 2 months and no more than 2 years apart on a physician visit by a nonrheumatologist. Controls were selected from the general population, on a 10:1 ratio for each case, matched by birth year, sex and calendar year of exposure. The outcomes, PE and DVT, we identified based on one ICD code for PE in hospitalization data; and one ICD code for DVT in either outpatient or hospitalization data. We estimated relative risks (RRs) of PE and DVT in SLE cases compared with matched general population controls, after adjusting for age, sex, comorbidities, trauma, fracture, surgery, and hospitalizations. Among 5,156 individuals with SLE, 54 developed PE and 92 developed DVT. Compared with age-matched, sex-matched, and entry-time-matched controls ( n = 51,560), the RRs were 4.9 (95% CI = 3.4 to 6.8) for PE and 4.5 (95% CI = 3.5 to 5.7) for DVT. These RRs attenuated slightly after adjusting for covariates, but remained significant (Table 1 ). When we evaluated the impact of follow-up time, the RRs for PE, DVT and PE or DVT in SLE patients as compared with non-SLE cases were the largest in the first year (Table 2 ). The estimates decreased over time and were not significant after 5 years of follow-up with the exception of DVT. This is the first population-based study assessing the risk of PE and DVT in patients with SLE. These findings support increased monitoring of venous thromboembolic complications and risk factors in SLE patients, especially during the first year after disease onset.

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)0.008
metaresearch head score (Gemma)0.001
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 score0.018
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.038
GPT teacher head0.348
Teacher spread0.310 · 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

Citations17
Published2012
Admission routes3
Has abstractyes

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