Evidence map›Paper›PMID 37581399›Full record

ArticleJournal of the American Heart Association2023

Association Between Prekallikrein and Stroke: A Mendelian Randomization Study.

Yinan Wang, Yiming Jia, Qingyun Xu, Pinni Yang, Lulu Sun, Yi Liu, Xinyue Chang, Yu He, Mengyao Shi, Daoxia Guo and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2023. 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
0.6field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

12 authors at 1 institution in 1 country.

Yinan WangDepartment of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Suzhou Medical College of Soochow University Suzhou China.ORCID 0000-0003-2967-6058
Yiming JiaDepartment of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Suzhou Medical College of Soochow University Suzhou China.
Qingyun XuDepartment of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Suzhou Medical College of Soochow University Suzhou China.
Pinni YangDepartment of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Suzhou Medical College of Soochow University Suzhou China.ORCID 0000-0001-7327-3294
Lulu SunDepartment of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Suzhou Medical College of Soochow University Suzhou China.
Yi LiuDepartment of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Suzhou Medical College of Soochow University Suzhou China.
Xinyue ChangDepartment of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Suzhou Medical College of Soochow University Suzhou China.
Yu HeDepartment of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Suzhou Medical College of Soochow University Suzhou China.
Mengyao ShiDepartment of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Suzhou Medical College of Soochow University Suzhou China.
Daoxia GuoSchool of Nursing Suzhou Medical College of Soochow University Suzhou China.
Yonghong ZhangDepartment of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Suzhou Medical College of Soochow University Suzhou China.ORCID 0000-0001-6188-3490
Zhengbao ZhuDepartment of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Suzhou Medical College of Soochow University Suzhou China.ORCID 0000-0001-5500-0014
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background High plasma prekallikrein was reported to be associated with increased risks of stroke, but the causality for these associations remains unclear. We aimed to investigate the associations of genetically predicted plasma prekallikrein concentrations with all-cause stroke, ischemic stroke, 3 ischemic stroke subtypes, and intracerebral hemorrhage (ICH) using a 2-sample Mendelian randomization approach. Methods and Results Seven independent prekallikrein-related single-nucleotide polymorphisms were identified as genetic instruments for prekallikrein based on a genome-wide association study with 1000 European individuals. The summary statistics for all-cause stroke, ischemic stroke, and ischemic stroke subtypes were obtained from the Multiancestry Genome-wide Association Study of Stroke Consortium with 40 585 cases and 406 111 controls of European ancestry. The summary statistics for ICH were obtained from the ISGC (International Stroke Genetics Consortium) with 1545 ICH cases and 1481 controls of European ancestry. In the main analysis, the inverse-variance weighted method was applied to estimate the associations of plasma prekallikrein concentrations with all-cause stroke, ischemic stroke, ischemic stroke subtypes, and ICH. Genetically predicted high plasma prekallikrein levels were significantly associated with elevated risks of all-cause stroke (odds ratio [OR] per SD increase, 1.04 [95% CI, 1.02-1.06];

Indexed as

Brain IschemiaEmbolic StrokeIschemic StrokeStrokeGenome-Wide Association StudyHumansMendelian Randomization AnalysisPolymorphism, Single NucleotidePrekallikreinPrekallikreinischemic strokeMendelian randomizationprekallikreinstroke

Identifiers

PMID37581399
PMCPMC10492928
OpenAlexW4385720864

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.