MétaCan
Menu
Back to cohort
Record W7017358622

Arrhythmia risk associated with the use of bronchodilators in patients with chronic obstructive pulmonary disease : cohort studies and methodological issues

2008· dissertation· en· W7017358622 on OpenAlexfundaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2008
Typedissertation
Languageen
FieldDecision Sciences
TopicReliability and Agreement in Measurement
Canadian institutionsnot available
FundersMcGill University
KeywordsCOPDIpratropium bromideCohortPulmonary diseaseCohort studyDiseaseTiotropium bromideCardiac arrhythmia
DOInot available

Abstract

fetched live from OpenAlex

Whereas first line therapy for chronic obstructive pulmonary disease (COPD) usually includes a short-acting bronchodilator, there are suggestions that these agents may increase the risk of cardiac arrhythmias. In this thesis, we first assessed the risks associated with short-acting beta-agonists (SABA), long-acting beta-agonists (LABA), ipratropium bromide (IB), and methyl xanthines (MX) within a cohort of COPD patients using the health databases of Saskatchewan. In order to confirm these findings and to address some methodological issues we then replicated this analysis within a larger cohort of patients using the health databases of Quebec.

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)0.005
metaresearch head score (Gemma)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-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 score0.083
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.125
GPT teacher head0.335
Teacher spread0.210 · 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

Citations0
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueeScholarship@McGill (McGill)Same topicReliability and Agreement in MeasurementFrench-language works237,207