MétaCan
Menu
← Back to cohort
Record W7161759767 · doi:10.82308/48886

The use of oral corticosteroids and the risk of death from Chronic Obstructive Pulmonary Disease (COPD) /

2001· dissertation· en· W7161759767 on OpenAlexaboutno aff
Michael Innes

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsnot available
Fundersnot available
KeywordsCOPDPulmonary diseaseConfoundingRelative riskCohortMortality rateCohort studyPneumoniaCause of death

Abstract

fetched live from OpenAlex

We investigated the use of oral corticosteroids (OCS) among patients with chronic obstructive pulmonary disease (COPD) and the subsequent risk of death from all causes, COPD, cardiac problems, and pneumonia. We identified an incident cohort of 2050 patients with COPD using the Saskatchewan Health databases. We matched 668 case patients who died with 6742 controls with respect to date of entry into the cohort. A nested case-control analysis was then conducted using conditional multivariate regression. The matched adjusted rate ratio (RR) of all cause mortality for any use of OCS was 1.48 (95% CI 1.18--1.84). An increased risk of death was also shown with cumulative dose (RR 1.17; 95% CI 1.08--1.25) and average yearly dose (RR 1.31; 95% CI 1.19--1.43). A dose-related increase in the adjusted rate ratios for cumulative OCS doses above 250 mg was observed. The risk is particularly evident among patients filling prescriptions for OCS in the 12 months before death. An increased risk of death from COPD was found, but no significant association was found for cardiac and pneumonia mortality. Although the results suggest the use of OCS increases the risk death among COPD patients, the possibility of confounding by indication and channelling may have influenced the results.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.017
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.295
Teacher spread0.268 · 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

Citations0
Published2001
Admission routes1
Has abstractyes

Explore more

Same topicChronic Obstructive Pulmonary Disease (COPD) Research→French-language works237,207→