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Record W4407375034 · doi:10.1002/ana.27207

Efficacy and Safety of Dual Antiplatelet Treatment up to 72 Hours in Acute Ischemic Stroke Stratified by Glycemic Status

2025· article· en· W4407375034 on OpenAlexaff
Qi Zhou, Ying Gao, Weiqi Chen, S. Claiborne Johnston, Pierre Amarenco, Philip M. Bath, Xuan Wang, Hongyi Yan, Tingting Wang, Yingying Yang, Yanli Zhang, Qingwu Yang, Mengxing Wang, Jing Jing, Chunjuan Wang, Yongjun Wang, Yilong Wang, Yuesong Pan

Bibliographic record

VenueAnnals of Neurology · 2025
Typearticle
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsMcMaster UniversityPopulation Health Research Institute
FundersNational Key Research and Development Program of ChinaNational Natural Science Foundation of China
KeywordsMedicineAspirinClopidogrelInternal medicineInterquartile rangeDiabetes mellitusHazard ratioStroke (engine)GlycemicType 2 Diabetes MellitusRandomized controlled trialConfidence intervalSurgeryInsulinEndocrinology

Abstract

fetched live from OpenAlex

OBJECTIVE: The objective was to investigate the efficacy and safety of clopidogrel-aspirin versus aspirin alone in patients after ischemic stroke by glycemic status using data from the Intensive Statin and Antiplatelet Therapy for Acute High-risk Intracranial or Extracranial Atherosclerosis (INSPIRES) trial. METHODS: Patients with mild ischemic stroke or high-risk transient ischemic attack (TIA) were randomized to clopidogrel-aspirin or aspirin alone. They were categorized into 3 subgroups according to glycemic status based on medical history and diagnosis by a clinician during hospitalization: without type 2 diabetes mellitus, with newly diagnosed type 2 diabetes, and with a history of type 2 diabetes mellitus. The primary efficacy and safety outcomes were new stroke and moderate-to-severe bleeding risk within 90-day follow-up. RESULTS: A total of 6,100 patients were enrolled (3,050 in each arm), with a median age of 65 years (interquartile range [IQR], 57-71) and 2,185 female (35.8%). Clopidogrel-aspirin treatment was associated with a reduction in recurrent stroke compared with aspirin alone in patients without type 2 diabetes mellitus (6.3% vs 8.4%; hazard ratio [HR], 0.75; 95% confidence interval [CI], 0.59-0.94; p = 0.01) and those with newly diagnosed type 2 diabetes mellitus (5.8% vs 13.0%; HR, 0.30; 95% CI, 0.14-0.66; p = 0.002), but not in those with a history of type 2 diabetes mellitus (10.0% vs 9.9%; HR, 0.98; 95% CI, 0.72-1.33; p = 0.88) (p for interaction = 0.03). Moderate-to-severe bleeding events did not differ significantly by treatment across glycemic subgroups. INTERPRETATION: In the INSPIRES trial, patients without or with type 2 diabetes mellitus derived greater benefit from clopidogrel-aspirin than those with a history of type 2 diabetes mellitus after mild ischemic stroke or high-risk TIA. TRIAL REGISTRATION: INSPIRES, NCT03635749. Registered 15 August 2018, https://clinicaltrials.gov/search?cond=NCT03635749. ANN NEUROL 2025;98:174-182.

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)0.002
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
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 head0.020
GPT teacher head0.310
Teacher spread0.290 · 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

Citations5
Published2025
Admission routes1
Has abstractyes

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