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Record W4383819892 · doi:10.1503/cmaj.230262

Impact of body mass index on efficacy and safety of ticagrelor versus clopidogrel in patients with minor stroke or transient ischemic attack

2023· article· en· W4383819892 on OpenAlexaffvenue
Jia Zhang, Anxin Wang, Xue Tian, Xia Meng, Xuewei Xie, Jing Jing, Jinxi Lin, Yilong Wang, Zixiao Li, Liping Liu, Hao Li, Yong Jiang, Xingquan Zhao, Yongjun Wang

Bibliographic record

VenueCanadian Medical Association Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsCAE (Canada)
FundersNational Key Research and Development Program of ChinaChinese Academy of Medical SciencesCapital Medical University
KeywordsMedicineTicagrelorClopidogrelAspirinStroke (engine)Internal medicineHazard ratioBody mass indexCardiologyConfidence interval

Abstract

fetched live from OpenAlex

Background: Body mass index (BMI) may affect the response to platelet P2Y12 receptor inhibitors. We aimed to explore whether BMI influenced the efficacy and safety of ticagrelor and clopidogrel for secondary prevention of minor ischemic stroke or transient ischemic attack (TIA) among patients enrolled in the CHANCE-2 (Ticagrelor or Clopidogrel with Aspirin in High-Risk Patients with Acute Nondisabling Cerebrovascular Events II) trial. Methods: In a multicentre, randomized, double-blind, placebo-controlled trial, conducted in China, we randomized patients with minor stroke or TIA who carried the CYP2C19 loss-of-function allele to receive either ticagrelor–acetylsalicylic acid (ASA) or clopidogrel–ASA. We classified patients into obese (BMI ≥ 28) or nonobese (BMI < 28) groups. The primary efficacy outcome was stroke within 90 days, and the primary safety outcome was severe or moderate bleeding within 90 days. Results: Among 6412 patients, 876 were classified as obese and 5536 were classified as nonobese. Compared with clopidogrel–ASA, ticagrelor–ASA was associated with a significantly lower rate of stroke within 90 days among patients with obesity (25 [5.4%] v. 47 [11.3%]; hazard ratio [HR] 0.51, 95% confidence interval [CI] 0.30–0.87), but not among those in the nonobese group (166 [6.0%] v. 196 [7.0%]; HR 0.84, 95% CI 0.69–1.04) The interaction of treatment and BMI group was significant (p for interaction = 0.04). We did not observe any difference by BMI group in rates of severe or moderate bleeding (9 [0.3%] v. 10 [0.4%] in the nonobese group; 0 [0.0%] v. 1 [0.2%] in the obese group; p for interaction = 0.99). Interpretation: In this secondary analysis of a randomized controlled trial involving patients with minor ischemic stroke or TIA, compared with clopidogrel–ASA, patients with obesity received more clinical benefit from ticagrelor–ASA therapy than those without obesity. Trial registration: Clinicaltrials.gov, no. NCT04078737.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.009
GPT teacher head0.259
Teacher spread0.250 · 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

Citations6
Published2023
Admission routes2
Has abstractyes

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