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Record W3108595567 · doi:10.1093/ehjci/ehaa946.3561

Cardiovascular disease recurrence and long-term mortality in a tri-ethnic British cohort: a retrospective study

2020· article· en· W3108595567 on OpenAlexaff
Manav V. Vyas, Nish Chaturvedi, Alun D. Hughes, Michael Marmot, Therese Tillin

Bibliographic record

VenueEuropean Heart Journal · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineMaceCohortHazard ratioMyocardial infarctionInternal medicinePopulationEthnic groupCohort studyStroke (engine)DemographyIncidence (geometry)Proportional hazards modelPercutaneous coronary interventionConfidence intervalEnvironmental health

Abstract

fetched live from OpenAlex

Abstract Background People of South Asian and of African Caribbean descent have elevated risks of some cardiovascular diseases compared to Europeans. How ethnicity relates to recurrent risk, and explanations for between ethnic group differences in recurrence are unclear. We characterized long-term risk of major adverse cardiovascular event (MACE) and mortality following a non-fatal cardiovascular event in a tri-ethnic British cohort. Methods We linked hospital and mortality records of a population-based cohort of South Asian, African Caribbean and European men and women aged 40–69 years with no prior history of cardiovascular disease. We identified index and recurrent cardiovascular events (stroke, transient ischaemic attack, myocardial infarction, or ischaemic heart disease), and mortality from 1988 to 2017. Using multivariable proportional hazards models, we separately calculated the adjusted hazard ratios (HR) of MACE and death following index event. We adjusted for demographics, vascular and lifestyle risk factors. We used interaction terms to evaluate if diabetes or decade of index event modified the association between ethnicity and outcomes. Results We included 801 participants with first non-fatal cardiovascular events, 647 coronary and 127 cerebrovascular, of whom 335 (41.8%) were European, 396 (49.5%) South Asian, and 70 (8.7%) African Caribbean. During a mean follow-up of 5.3 years, 537 patients developed MACE and 338 died. Crude incidence rate of MACE was higher in South Asians (135.9 per 1000-person-years) compared to Europeans (117.1) and African Caribbeans (123.6). Higher risk of MACE in South Asian compared to Europeans was eliminated in the adjusted models (HR 0.97, 95% confidence interval 0.77–1.21), whereas their mortality advantage was eliminated when the younger age at index event was accounted for (HR 0.95, 0.72–1.26). African Caribbeans had similar outcomes to Europeans (HR MACE 1.04, 0.74–1.47; and HR death 1.07, 0.70–1.64). There was no modification by diabetes for outcomes, whereas survival following index event improved more in South Asian, than African Caribbean, compared to European over three decades (Pinteraction = 0.04). Conclusions Baseline vascular risk factors explained the observed ethnic variation in cardiovascular disease recurrence and long-term mortality, with a relative improvement in survival of minority ethnic groups over time. Funding Acknowledgement Type of funding source: Public grant(s) – National budget only. Main funding source(s): UK Medical Research Council, Wellcome Trust

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)0.002
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 score0.192
Threshold uncertainty score0.381

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.092
GPT teacher head0.333
Teacher spread0.241 · 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
Published2020
Admission routes1
Has abstractyes

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