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Record W4402646867 · doi:10.1177/00033197241273433

The Intersection of Socioeconomic Differences and Sex in the Management and Outcomes of Acute Myocardial Infarction: A Nationwide Cohort Study

2024· article· en· W4402646867 on OpenAlex
Nicholas Weight, Saadiq Moledina, Claire Lawson, Harriette G.C. Van Spall, Harindra C. Wijeysundera, Muhammed Rashid, Evangelos Kontopantelis, Mamas Mamas

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.

Bibliographic record

VenueAngiology · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreInstitute for Clinical Evaluative SciencesImpactUniversity of TorontoMcMaster UniversityPopulation Health Research Institute
FundersBirmingham Biomedical Research CentreDepartment of Health and Social CareNational Institute for Health and Care Research
KeywordsMedicineSocioeconomic statusMyocardial infarctionDemographyCohortInternal medicineCohort studyPopulationEnvironmental health

Abstract

fetched live from OpenAlex

Patients with lower socioeconomic status (SES) have poorer outcomes following acute myocardial infarction (AMI) than patients with higher SES; however, how sex modifies socioeconomic differences is unclear. Using the United Kingdom (UK) Myocardial Ischaemia National Audit Project (MINAP) registry, alongside Office of National Statistics (ONS) mortality data, we analyzed 736,420 AMI patients between 2005 and 2018, stratified by Index of Multiple Deprivation (IMD) score Quintiles (most affluent [Q1] to most deprived [Q5]). There was no significant difference in probability of in-hospital mortality in our adjusted model according to sex. The probability of 30-day mortality in our adjusted model was similar between men and women throughout Quintiles, ((Q5; Men 7.6%; 95% CI 7.3–7.8% ( P < .001), Women; 7.0%; 95% CI 6.8–7.3%, P < .001)) ((Q1; Men 7.1%; 95% CI 6.8–7.4%, P < .001, Women; 6.9%; 95% CI 6.6–7.1%, P < .001)). The probability of one-year mortality in our adjusted model was higher in men throughout all Quintiles (Q1; Men 15.0%; 95% CI 14.8–15.6%), P < .001, Women; 14.5%; 95% CI 14.2–14.9%, P < .001) (Q5; Men 16.9%; 95% CI 16.5–17.3%, P < .001, Women; 15.5%; 95% CI 15.1–15.9 by %, P < .001). Overall, female sex did not significantly influence the effect of deprivation on AMI processes of care and outcomes.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.528

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.015
GPT teacher head0.327
Teacher spread0.312 · 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