Evidence map›Paper›PMID 38786732›Full record

ArticleMetabolites2024

Metabolic Traits and Risk of Ischemic Stroke in Japanese and European Populations: A Two-Sample Mendelian Randomization Study.

Jinxia Zhang, Huimin Lu, Mingyang Cao, Jie Zhang, Di Liu, Xiaoni Meng, Deqiang Zheng, Lijuan Wu, Xiangdong Liu, Youxin Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Metabolites, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

10 authors.

Jinxia ZhangSchool of Public Health, Capital Medical University, Beijing 100069, China.
Huimin LuSchool of Public Health, Capital Medical University, Beijing 100069, China.
Mingyang CaoSchool of Public Health, Capital Medical University, Beijing 100069, China.
Jie ZhangSchool of Public Health, Capital Medical University, Beijing 100069, China.
Di LiuCentre for Biomedical Information Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Xiaoni MengSchool of Public Health, Capital Medical University, Beijing 100069, China.
Deqiang ZhengSchool of Public Health, Capital Medical University, Beijing 100069, China.
Lijuan WuSchool of Public Health, Capital Medical University, Beijing 100069, China.
Xiangdong LiuNational Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100069, China.
Youxin WangSchool of Public Health, Capital Medical University, Beijing 100069, China.ORCID 0000-0002-6574-6706

Funding

the National Natural Science Foundation of China; the Beijing Talents Project 81673247, 81872682; 2020A17
6 · The paper itself

Abstract

The role of metabolic traits in ischemic stroke (IS) has been explored through observational studies and a few Mendelian randomization (MR) studies employing limited methods in European populations. This study aimed to investigate the causal effects of metabolic traits on IS in both East Asian and European populations utilizing multiple MR methods based on genetic insights. Two-sample and multivariable MR were performed, and MR estimates were calculated as inverse-variance weighted (IVW), weighted median, and penalized weighted median. Pleiotropy was assessed by MR-Egger and Mendelian randomization pleiotropy residual sum and outlier tests. Systolic blood pressure (SBP) was associated with an increased risk of IS by IVW in both European (OR

Indexed as

causal inferencedifferent racesischemic strokemendelian randomizationmetabolic traits

Identifiers

PMID38786732
PMCPMC11123267

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.