Evidence map›Paper›PMID 37601806›Full record

ArticleInternational journal of general medicine2023

Differences in the Proportion of CYP2C19 Loss-of-Function Between Cerebral Infarction and Coronary Artery Disease Patients.

Yuliang Shi, Yuxian Yang, Miaoling Feng, Weihan Ling, Tongguo Wei, Yumin Cao, Rui Zhong, Heming Wu

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 22% of its field
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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
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  4. Therapeutic advances in neurological disorders · 2024
    Article
  5. Article
  6. International journal of general medicine · 2024
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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

8 authors at 1 institution in 1 country.

Yuliang ShiDepartment of Neurology, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, Meizhou, People's Republic of China.
Yuxian YangDepartment of Neurology, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, Meizhou, People's Republic of China.
Miaoling FengDepartment of Neurology, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, Meizhou, People's Republic of China.
Weihan LingDepartment of Neurology, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, Meizhou, People's Republic of China.
Tongguo WeiDepartment of Neurology, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, Meizhou, People's Republic of China.
Yumin CaoDepartment of Neurology, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, Meizhou, People's Republic of China.
Rui ZhongDepartment of Neurology, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, Meizhou, People's Republic of China.
Heming WuCenter for Precision Medicine, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, Meizhou, People's Republic of China.ORCID 0000-0002-1876-9585
Meizhou City People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cytochrome P450 2C19 (CYP2C19) genotypes and metabolic phenotypes (extensive metabolizer (EM), intermediate metabolizer (IM), and poor metabolizer (PM)) are related to the metabolism of therapeutic drugs for cardiovascular and cerebrovascular diseases. This study aimed to investigate the differences of Methods: We identified 413 CI patients, 509 CAD patients, and 241 CI+CAD patients from 2016 to 2020 and studied genotypes of Results: There were significant differences in the distribution of Conclusion: CYP2C19 EM metabolic phenotype was dominant in CAD patients, and CYP2C19 IM metabolic phenotype was dominant in CI patients. After adjusting for other confounding factors, patients with the CYP2C19 IM metabolic phenotype were more likely to develop CI than CAD.

Indexed as

cerebral infarctioncoronary artery diseaseCYP2C19genotypemetabolic phenotype

Identifiers

PMID37601806
PMCPMC10438470
OpenAlexW4385813115

What OpenQuestion 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 OpenQuestion graph.