Evidence map›Paper›PMID 40474099›Full record

ArticleBMC neurology2025

Construction and evaluation of an aspirin resistance risk prediction model for ischemic stroke.

Tianyu Ma, Xue Wang, Yan Song, Junying Liu, Min Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Tianyu Ma *School of Nursing, Beihua University, Jilin, 132001, China.
Xue Wang *School of Nursing, Beihua University, Jilin, 132001, China.
Yan SongSchool of Nursing, Beihua University, Jilin, 132001, China.
Junying LiuAffiliated Hospital of Jilin Medical University, Jilin, 132001, China.
Min ZhangSchool of Nursing, Beihua University, Jilin, 132001, China. 1874751233@qq.com.

Funding

Government Technology Department of the Jilin Province 20210203065SFGovernment Technology Department of the Jilin Province 20210203072SF and 20230203054SFthe Education Department of the Jilin Province JJKH20210068KJ
6 · The paper itself

Abstract

backgroundAspirin has become the drug of choice for the prevention and treatment of ischemic stroke (IS), but approximately a quarter of patients may be resistant to its effects and have an increased risk of recurrent ischemic events while also developing aspirin resistance. This study aimed to build a risk prediction model for aspirin resistance (AR) in IS patients, predicts the likelihood of IS patients developing AR.

methodsThe retrospective research study included the clinical data of patients with ischemic stroke were retrospectively collected from January 2021 to January 2023 at the Affiliated Hospital of Beihua University in the Jilin Province. Univariate and logistic regression analyses were used to construct a risk prediction model. The Hosmer-Lemeshow χ

resultsA total of 285 patients participated in this study, of whom 206 did not have AR, while 79 had AR. Seven risk factors were included in the prediction model. Sex (female), age (≥ 60 years), smoking, diabetes mellitus (DM), hyperlipidemia (HLP), platelets (PLT), > 350 × 10

conclusionsGender (female), age, smoking, DM, HLP, PLT and HbA1c are independent risk factors for AR in IS. The AR risk prediction model for IS demonstrates strong predictive and discriminative performance, enabling precise identification of high-risk patients.

Indexed as

AspirinDrug ResistanceIschemic StrokePlatelet Aggregation InhibitorsAgedFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsAspirinPlatelet Aggregation InhibitorsAspirin resistanceIschemic strokeRisk factorsRisk prediction model

Identifiers

PMID40474099
PMCPMC12139116

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.