Evidence map›Paper›PMID 42807560›Full record

ArticleCardiology research and practice2026

Routine CYP2C19 Genotyping, Antiplatelet Prescription Changes, and Clinical Outcomes After PCI in Chinese Patients With Coronary Heart Disease: A Single-Center Retrospective Study.

Dan Niu, Mei Zhang, Hong Guan

Abstract read
In one paragraph

Article in Cardiology research and practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Dan NiuDepartment of Cardiology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia, China, nmgfy.com.ORCID https://orcid.org/0000-0001-6404-0798
Mei ZhangDepartment of Hematology, Ordos Central Hospital, Ordos, Inner Mongolia, China.
Hong GuanDepartment of Cardiology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia, China, nmgfy.com.ORCID https://orcid.org/0009-0002-9482-1223

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: CYP2C19 genotype can influence clopidogrel response, but the relationship between routine genotyping, real-world P2Y12 inhibitor prescribing, and clinical outcomes remains uncertain. Aims: To characterize P2Y12 inhibitor prescription patterns before and after routine CYP2C19 genotyping and to describe ischemic and bleeding outcomes in a retrospective real-world cohort. Methods: This single-center retrospective study included 364 adults with coronary heart disease who underwent percutaneous coronary intervention (PCI) from January to December 2023. During the study period, CYP2C19 genotyping was routinely performed as part of the hospital's antiplatelet management policy, and all 364 participants were genotyped. Prescription patterns before and after genotype results were compared; clinical outcome analyses were restricted to the 271 patients with complete linked postdischarge medication and outcome data. Results: Before genotyping, 273/364 patients (75.0%) received ticagrelor, and 91/364 (25.0%) received clopidogrel; after genotype results, 279/364 (76.6%) received clopidogrel, and 85/364 (23.4%) received ticagrelor. From the reported adjustment counts, 258 patients switched from ticagrelor to clopidogrel, 70 switched from clopidogrel to ticagrelor, and 36 remained on the same agent (exact McNemar Conclusions: Routine CYP2C19 genotyping was associated with a substantial change in P2Y12 inhibitor prescribing in this single-center cohort. Because treatment was physician-directed and outcome data were sparse and incomplete for the full cohort, the clinical event comparisons should be interpreted as exploratory rather than evidence that genotype-guided therapy reduced bleeding or ischemic events.

Indexed as

antiplatelet therapyclopidogrelcoronary heart diseaseCYP2C19ticagrelor

Identifiers

PMID42807560
PMCPMC13618363

What Socratic holds

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Registered trials

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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 Socratic graph.