ArticleInternational journal of general medicine2026
Exploring Influencing Factors Including CYP2C19 Genotypes, and Developing a Machine Learning-Based Predictive Model for Clopidogrel Resistance in Chinese Patients with Ischemic Stroke.
Article in International journal of general medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Clopidogrel resistance (CR) may diminish its antiplatelet effect, thereby increasing the risk of cardiovascular and cerebrovascular events. The cause of CR remains unclear, and it may be related to pharmacogenomics and coagulation markers. Machine learning is a novel approach to investigate the correlations among various factors. This study aimed to investigate the factors influencing CR in Chinese patients with ischemic stroke and to develop a precise and reliable predictive model for CR using machine learning. Methods: Thromboelastography (TEG), a standard technique for assessing platelet inhibition, was used to measure the adenosine diphosphate (ADP)-induced platelet inhibition rate. CR was defined as an ADP-induced platelet inhibition rate of less than 30%. Genotypes of Results: A total of 208 patients were enrolled in the study. Participants were categorized into the CR group (n=14) and the non-CR group (n=194). The CR group exhibited significantly lower activated partial thromboplastin time (APTT) levels compared with the non-CR group (P<0.05). Carriers of at least one loss-of-function (LOF) allele of Conclusion: Genetic polymorphisms in
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.