Evidence map›Paper›PMID 41824873›Full record

ArticleMedicine2026

Deciphering casual association between brain structure and liver cirrhosis: Insights from Mendelian randomization.

Xinyi Xiong, Guang Yang, Yuming Yao, Chiayen Lin

Abstract read
In one paragraph

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

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

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

4 authors.

Xinyi XiongDepartment of Infectious Diseases, Xiangya Hospital, Central South University, Changsha, Hunan, China.ORCID 0009-0002-1788-2073
Guang YangDepartment of Orthopedics, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yuming YaoDepartment of Orthopedics, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Chiayen LinDepartment of General Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver cirrhosis exerts a significant influence on both the burden of family healthcare and public health expenditure. The causal relationship between brain imaging-derived phenotypes (BIDPs) and liver cirrhosis remains uncertain. This is a 2-sample Mendelian randomization (MR) study. Based on the genome-wide association study summary statistics of 1325 BIDPs and 2 cohort of liver cirrhosis traits. The main analyses were conducted using the inverse-variance weighted method. Moreover, weighted median, MR-Egger regression, weighted mode, simple mode method were also performed as sensitivity analyses. 41 BIDPs showed significant MR effects on liver cirrhosis in discovery cohort, 25 BIDPs showed significant MR effects in replication cohort. 20 BIDPs showed significant MR effects in both discovery cohort and replication cohort, with particular emphasis on the potential effects of 5 brain regions, the caudal anterior cingulate, rostral middle frontal, caudal middle frontal, isthmus cingulate, and superior frontal regions. There is a significant correlation between the structural characteristics of brain regions and the occurrence of liver cirrhosis, with close associations identified between the caudal anterior cingulate, rostral middle frontal, caudal middle frontal, isthmus cingulate, and superior frontal regions and liver cirrhosis. This study provides new insights into the brain-liver axis, suggesting that liver cirrhosis may be a disease regulated by the central nervous system.

Indexed as

BrainLiver CirrhosisMendelian Randomization AnalysisGenome-Wide Association StudyHumansPhenotypePolymorphism, Single Nucleotideassociations analysisbrain imaging-derived phenotypesliver cirrhosisMendelian randomization

Identifiers

PMID41824873
PMCPMC12991515

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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.