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Record W2165828459 · doi:10.1136/thoraxjnl-2012-201823

Statins and the risk of interstitial lung disease: a cohort study

2013· article· en· W2165828459 on OpenAlexafffundabout
Nathalie Saad, Philippe Camus, Samy Suissa, Pierre Ernst

Bibliographic record

VenueThorax · 2013
Typearticle
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsJewish General Hospital
FundersCanadian Institutes of Health ResearchMcGill University
KeywordsMedicineCohortIncidence (geometry)ConfoundingCohort studyInterstitial lung diseaseStatinInternal medicineDiseaseLung

Abstract

fetched live from OpenAlex

BACKGROUND: Case reports have suggested that the use of statins may be associated with an increase in the risk of interstitial lung disease (ILD). METHODS: Within a large cohort of users of respiratory medications identified in the Quebec health administrative databases during 1990-2005, we carried out a nested case-control analysis of the relationship between statins and the risk of ILD as defined by specialist visits or hospitalisations. RESULTS: The cohort included over 1.4 million patients, of which 6665 possible or probable cases of ILD were identified during follow-up. These were compared with 26 660 controls matched for age, gender and calendar time. After adjustment for confounders and comorbid conditions, there was no association between current use of statins and risk of ILD (adjusted OR 0.99, 95% CI 0.91 to 1.08). The results were similar when any use of statins within the previous 1 or 2 years was considered or when the analysis was limited to more definite cases. CONCLUSIONS: This large cohort study did not find an association between statin use and the incidence of ILD.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.453

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.006
GPT teacher head0.264
Teacher spread0.258 · 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.

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

Citations60
Published2013
Admission routes3
Has abstractyes

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