MétaCan
Menu
Back to cohort
Record W3045074272 · doi:10.1016/j.cjco.2020.07.015

Early Observations During the COVID-19 Pandemic in Cardiac Catheterization Procedures for ST-Elevation Myocardial Infarction Across Ontario

2020· article· en· W3045074272 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCJC Open · 2020
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 and healthcare impacts
Canadian institutionsUniversity of OttawaSunnybrook Health Science CentreUniversity of TorontoHamilton Health SciencesSouthlake Regional Health CenterMcMaster University
Fundersnot available
KeywordsMedicineConventional PCIPercutaneous coronary interventionMyocardial infarctionCoronavirus disease 2019 (COVID-19)Cardiac catheterizationEmergency medicineCardiologyInternal medicineDisease

Abstract

fetched live from OpenAlex

BACKGROUND: In response to the COVID-19 pandemic, Ontario issued a declaration of emergency, implementing public health interventions on March 16, 2020. METHODS: We compared cardiac catheterization procedures for ST-elevation myocardial infarction (STEMI) between January 1 and May 10, 2020 to the same time frame in 2019. RESULTS: From March 16 to May 10, 2020, after implementation of provincial directives, STEMI cases significantly decreased by up to 25%. The proportion of patients who achieved guideline targets for first medical contact balloon for primary percutaneous coronary intervention (PCI) decreased substantially to 28% (median, 101 minutes) for patients who presented directly to a PCI site and to 37% (median, 149 minutes) for patients transferred from a non-PCI site, compared with 2019. CONCLUSIONS: STEMI cases across Ontario have been substantially affected during the COVID-19 pandemic.

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.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.030
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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 head0.162
GPT teacher head0.413
Teacher spread0.251 · 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