Evidence mapPaperPMID 40098688Full record

ArticleFrontiers in neurology2025

The association between basal metabolic rate and ischemic stroke: a Mendelian randomization study.

Yizhou Chen, Xiahui Zhang, Meifang Liu, Yi Zhang, Song Li, Li Zhou, Xiaolin Yang, Xu Chen, Mengqi Yue, Qi Qu and 2 more

Abstract read
In one paragraph

Article in Frontiers in neurology, 2025. 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

12 authors.

Yizhou Chen *Yunnan University of Traditional Chinese Medicine, Kunming, China.
Xiahui Zhang *Yunnan University of Traditional Chinese Medicine, Kunming, China.
Meifang LiuYunnan University of Traditional Chinese Medicine, Kunming, China.
Yi ZhangQingdao Central Hospital, Qingdao, China.
Song LiYunnan University of Traditional Chinese Medicine, Kunming, China.
Li ZhouYunnan University of Traditional Chinese Medicine, Kunming, China.
Xiaolin YangYunnan University of Traditional Chinese Medicine, Kunming, China.
Xu ChenYunnan University of Traditional Chinese Medicine, Kunming, China.
Mengqi YueYunnan University of Traditional Chinese Medicine, Kunming, China.
Qi QuDepartment of Medicine, Hubei Minzu University, Enshi, China.
Yong QiuYunnan University of Traditional Chinese Medicine, Kunming, China.
Jing ShiYunnan University of Traditional Chinese Medicine, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to elucidate the potential impact of basal metabolic rate on ischemic stroke at the genetic prediction level through a two-sample Mendelian randomization analysis. Methods: Using summary data from genome-wide association studies, we obtained information on basal metabolic rate and ischemic stroke from a large-scale genome-wide association study. MR analysis used inverse variance weighting, weighted median, MR-Egger, simple mode, and weighted estimation. Sensitivity analyses, including the MR-Egger method, MR-PRESSO, Cochran's Results: Genetic susceptibility to basal metabolic rate was significantly associated with ischemic stroke in multiple models, including the inverse variance weighting model ( Conclusion: The MR analysis suggests a positive correlation between basal metabolic rate and ischemic stroke.

Indexed as

basal metabolic ratecausal relationshipischemic strokeMendelian randomizationMR analysis

Identifiers

PMID40098688
PMCPMC11912940

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.