Evidence map›Paper›PMID 41488930›Full record

ArticleFrontiers in physiology2025

Low skeletal muscle density is independently associated with cardiac valve calcification in dialysis patients.

Meng-Ting Li, Jing-Yuan Cao, Min Li, Zhen Zhao, Jia-Run Mi, Min Yang, Liu-Ping Zhang, Zi-Fan Wang, Tian-Ke Yu, Ping-Ping Ju and 3 more

Abstract read
In one paragraph

Article in Frontiers in physiology, 2025. 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

13 authors.

Meng-Ting Li *Department of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, China.
Jing-Yuan Cao *Department of Nephrology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, China.
Min LiDepartment of Nephrology, The Third Affiliated Hospital of Soochow University, Soochow University, Changzhou, China.
Zhen ZhaoJiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, China.
Jia-Run MiSchool of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Min YangDepartment of Nephrology, The Third Affiliated Hospital of Soochow University, Soochow University, Changzhou, China.
Liu-Ping ZhangDepartment of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, China.
Zi-Fan WangDepartment of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, China.
Tian-Ke YuDepartment of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, China.
Ping-Ping JuDepartment of Nephrology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, China.
Yu-Jia JiangDepartment of Nephrology, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China.
Yao WangDepartment of Nephrology, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China.
Xiao-Xu WangDepartment of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing muscle characteristics is an emerging field for improving stratification of cardiovascular disease risks. However, the relationship between muscle characteristics and cardiac valve calcification (CVC) remains unclear. This study evaluated how muscle mass and muscle quality relate to the risk of CVC in dialysis patients. This study included dialysis patients from four centers in China who underwent chest computed tomography (CT) and echocardiography. Skeletal muscle index (SMI) and skeletal muscle density (SMD) were measured by opportunistic chest CT at the first lumbar vertebra level to assess muscle mass and muscle quality. Patients were categorized by calcified valves: no calcification, single-valve (aortic or mitral) calcification, and dual-valve calcification. Ordinal logistic regression assessed the relationships of SMI and SMD with CVC risk. Of 2,140 patients (mean age of 55 years, 58.8% male), 782 (36.5%) exhibited CVC: 550 (25.7%) with single-valve calcification, and 232 (10.8%) with dual-valve calcification. As SMD quartiles decreased, the ORs (95% CIs) for CVC consistently increased (1.22 [0.90-1.64], 1.46 [1.08-1.97], 1.49 [1.07-2.08];

Indexed as

cardiac valve calcificationcardiovascular diseasesdialysismuscle qualityskeletal muscle density

Identifiers

PMID41488930
PMCPMC12756121

What Socratic holds

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LicenceCC BY
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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 Socratic graph.