Evidence map›Paper›PMID 41940017›Full record

ArticleFrontiers in physiology2026

Bioelectrical impedance analysis and physical function improved risk prediction for cardiac dysfunction in hemodialysis patients.

Weichen Zhang, Lu Yao, Qin Zhu, Jianxin Lu, Qianhong Liu, Wei Ding

Abstract read
In one paragraph

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

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0citing papers in PubMed
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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

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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

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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

6 authors.

Weichen ZhangDivision of Nephrology, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Lu YaoDivision of Nephrology, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Qin ZhuDivision of Nephrology, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Jianxin LuDivision of Nephrology, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Qianhong LiuDivision of Nephrology, Shanghai Zhongye Hospital, Shanghai, China.
Wei DingDivision of Nephrology, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cardiovascular disease is the leading cause of death in maintenance hemodialysis (MHD) patients. This cross-sectional study investigated the associations between bioelectrical impedance analysis (BIA) parameters, physical function, and cardiac function in MHD patients, with the aim of identifying predictors of cardiac dysfunction. Methods: The study included 130 MHD patients from Shanghai Ninth People's Hospital on December 2022. BIA measurements were executed using the Body Composition Monitor. Physical function was assessed by handgrip strength and natural gait speed. Cardiac systolic and diastolic functions were evaluated by echocardiography. Univariate and multivariable logistic regression analyses were performed to identify determinants of cardiac dysfunction. Results: Mean age of all participants was 62.39 ± 13.91 years old while 78 (60%) were male. Univariate and multivariable logistic regression analyses were performed to identify determinants of cardiac dysfunction. Multivariable analysis revealed that NT-proBNP (odds ratio [OR], 1.098; 95% CI, 1.011-1.193; Discussion: BIA and physical function parameters improved risk stratification beyond conventional biomarkers, providing practical tools for screening cardiac risk in MHD patients.

Indexed as

bioelectrical impedance analysis (BIA)cardiac functionechocardiographyhemodialysisphysical function

Identifiers

PMID41940017
PMCPMC13043414

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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.