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Record W2086935269 · doi:10.1016/s1474-5151(09)60032-3

FAMP3 Ethnic Variation in Acute Myocardial Infarction Presentation and Access to Care

2009· article· en· W2086935269 on OpenAlexaffabout
Kathryn King, Nadia Khan, Hude Quan

Bibliographic record

VenueEuropean Journal of Cardiovascular Nursing · 2009
Typearticle
Languageen
FieldMedicine
TopicAcute Myocardial Infarction Research
Canadian institutionsUniversity of British ColumbiaUniversity of Calgary
Fundersnot available
KeywordsMedicineEthnic groupMyocardial infarctionVariation (astronomy)Presentation (obstetrics)CardiologyInternal medicineMedical emergencySurgery

Abstract

fetched live from OpenAlex

Purpose: Given the growing ethnic diversity in Canada, and the known burden of heart disease across ethnicities, it is essential to recognize potential ethnic variability in symptoms associated with AMI. We aimed to examine ethnic variation in symptom presentation and access to care of patients presenting to the emergency department (ED) with acute myocardial infarction (AMI). Methods: We undertook an audit of a random sample of 406 health records of Caucasian, Chinese, South Asian, South East Asian and First Nations patients discharged from hospitals in the Calgary Health Region (Alberta, Canada). Measured variables were compared across ethnic groups using non-parametric and parametric analyses, as appropriate, and associations with classic AMI symptom profile and timely presentation to hospital were examined. Finally, we conducted logistic regression models to examine the association between ethnicity (relative to Caucasian) and having “classic” symptoms as well as time to ED presentation in those who had “classic” symptoms after adjustment for age (<65 years), and male sex.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.976
Threshold uncertainty score0.591

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.036
GPT teacher head0.350
Teacher spread0.314 · 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

Citations0
Published2009
Admission routes2
Has abstractyes

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