MétaCan
Menu
Back to cohort
Record W2175932196

Risk of Arrhythmia and Mortality from Macrolide Antibiotic Prescription: A Population-Based Cohort Study

2015· article· en· W2175932196 on OpenAlexfundaboutno aff
Mai H. Trac

Bibliographic record

VenueScholarship@Western (Western University) · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsnot available
FundersSchulich School of Medicine and DentistryOntario Ministry of Health and Long-Term CareAcademic Medical Organization of Southwestern OntarioLondon Health Sciences CentreLawson Health Research Institute
KeywordsMedicineMedical prescriptionCohortAntibioticsPopulationCohort studyMacrolide AntibioticsInternal medicineIntensive care medicineEnvironmental healthErythromycinPharmacologyMicrobiologyBiology
DOInot available

Abstract

fetched live from OpenAlex

Many respiratory tract infections are treated with macrolide antibiotics. Regulatory agencies warn that these antibiotics increase the risk of ventricular arrhythmia. This population-based retrospective cohort study examined the 30-day risk of a hospital encounter with ventricular arrhythmia and all-cause mortality in 503,612 matched pairs of older adults who received a new outpatient prescription for an oral macrolide antibiotic and those prescribed referent antibiotics from 2002 to 2013 in Ontario. Conditional logistic regression was used to measure the association between macrolide exposure and outcomes. Macrolide antibiotics compared with referent antibiotics were not associated with a higher 30-day risk of ventricular arrhythmia (0.03% vs. 0.03%, relative risk [RR] 1.06, 95% confidence interval [CI] 0.83- 1.36), and were associated with a lower risk of 30-day all-cause mortality (0.62% vs. 0.76%, RR 0.82, 95% CI 0.78-0.86). These findings suggest that current warnings from Health Canada and the U.S. Food and Drug Administration may be overstated.

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)0.003
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 score0.095
Threshold uncertainty score0.189

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.347
GPT teacher head0.410
Teacher spread0.064 · 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
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueScholarship@Western (Western University)Same topicHealth Systems, Economic Evaluations, Quality of LifeFrench-language works237,207