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Record W4401432082 · doi:10.1136/bmjopen-2023-078197

Impact of aspirin dose according to race in secondary prevention of atherosclerotic cardiovascular disease: a secondary analysis of the ADAPTABLE randomised controlled trial

2024· article· en· W4401432082 on OpenAlexfundno aff
Guillaume Marquis‐Gravel, Hillary Mulder, Lisa Wruck, Catherine P. Benziger, Mark B. Effron, Peter Farrehi, Saket Girotra, Kamal Gupta, Sunil Kripalani, Daniel Muñoz, Tamar S. Polonsky, Jeff Whittle, Robert A. Harrington, Russell L. Rothman, Adrian F. Hernandez, WS Jones

Bibliographic record

VenueBMJ Open · 2024
Typearticle
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsnot available
FundersJanssen PharmaceuticalsDuke Clinical Research InstituteUniversité de MontréalNational Heart, Lung, and Blood InstituteAmerican Heart AssociationCanadian Institutes of Health ResearchBayerInstitut de Cardiologie de MontréalModernaBoston Scientific CorporationPatient-Centered Outcomes Research InstituteBristol-Myers SquibbEli Lilly and Company
KeywordsMedicineAspirinClinical endpointMyocardial infarctionStroke (engine)Internal medicineRandomized controlled trialIncidence (geometry)Atherosclerosis Risk in CommunitiesClinical trialPhysical therapyCumulative incidenceDiseaseCohort

Abstract

fetched live from OpenAlex

OBJECTIVES: To evaluate whether the effectiveness and safety of low (81 mg daily) versus high-dose (325 mg daily) aspirin is consistent across races among patients with established atherosclerotic cardiovascular disease (ASCVD). DESIGN: A secondary analysis of the randomised controlled trial ADAPTABLE was performed. SETTING: The study was conducted in 40 centres and one health plan participating in the National Patient-Centred Clinical Research Network (PCORnet) in the USA. PARTICIPANTS: Among 15 076 participants with established ASCVD, 14 096 had self-reported race available and were included in the analysis. Participants were divided according to self-reported race as Black (n=1311, 9.3%), White (n=11 990, 85.1%) or other race (n=795, 5.6%). INTERVENTIONS: Participants were randomised to open-label daily aspirin doses of 81 mg versus 325 mg in a 1:1 ratio for a median of 26.2 months. PRIMARY AND SECONDARY OUTCOMES MEASURES: The primary effectiveness endpoint was a composite of death from any cause, hospitalisation for myocardial infarction or hospitalisation for stroke. The primary safety endpoint was hospitalisation for bleeding requiring blood product transfusion. RESULTS: Estimated cumulative incidence of the primary effectiveness endpoint at median follow-up with the 81 mg and the 325 mg daily doses were 6.70% and 7.12% in White participants (adjusted HR: 1.00 [95% CI: 0.88 to 1.15]); 12.27% and 10.69% in Black participants (adjusted HR: 1.40 [95% CI: 1.02 to 1.93]); and 6.88% and 7.69% in other participants (adjusted HR: 0.86 [95% CI: 0.54 to 1.39]) (p-interaction=0.12), respectively. There was no significant interaction between self-reported race and assigned aspirin dose regarding the secondary effectiveness and the primary safety endpoints. CONCLUSION: Race is not an effect modifier on the impact of aspirin dosing on effectiveness and safety in patients with established ASCVD. In clinical practice, treatment decisions regarding aspirin dose in secondary prevention of ASCVD should not be influenced by race. TRIAL REGISTRATION NUMBER: NCT02697916.

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)0.012
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.023
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.008
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.045
GPT teacher head0.370
Teacher spread0.325 · 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 designMeta-analysis
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

Citations2
Published2024
Admission routes1
Has abstractyes

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