Evidence map›Paper›PMID 40241470›Full record

ArticleJournal of cachexia, sarcopenia and muscle2025

Association of Muscle Radiodensity and Muscle Mass With Thoracic Aortic Calcification Progression in Dialysis Patients.

Xiao-Xu Wang, Jing-Yuan Cao, Yao Wang, Min Li, Shi-Mei Hou, Zhen Zhao, Min Yang, Ping-Ping Ju, Yu-Jia Jiang, Jing-Jie Xiao and 5 more

Abstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Association of muscle strength with abdominal aortic calcification.The Journal of international medical research · 2026
    Article
  2. Review
  3. Article
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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

15 authors.

Xiao-Xu WangDepartment of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, China.
Jing-Yuan CaoDepartment of Nephrology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, China.
Yao WangDepartment of Nephrology, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China.
Min LiDepartment of Nephrology, The Third Affiliated Hospital of Soochow University, Soochow University, Changzhou, China.
Shi-Mei HouDepartment 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.
Min YangDepartment of Nephrology, The Third Affiliated Hospital of Soochow University, Soochow University, Changzhou, 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.
Jing-Jie XiaoCovenant Health Palliative Institute, Edmonton, Alberta, Canada.
Ri-Ring TangDepartment of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, China.
Hong LiuDepartment of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, China.
Bi-Cheng LiuDepartment of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, China.
Xiao-Liang ZhangDepartment of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, China.
Bin WangDepartment of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, China.ORCID 0000-0003-1606-5004

Funding

Changzhou Sci&Tech Program CJ20235084Foundation of Jiangsu Commission of Health M2021048Jiangsu Provincial Key Research and Development Program BE2023770Project of Taizhou Clinical Medical School of Nanjing Medical University TZKY20220209Research Personnel Cultivation Programme of Zhongda Hospital Southeast University CZXM-GSP-RC150Science and Technology Project of Changzhou Health Commission QY202304Young Scholars of Yangtze River Scholar Professor Program 2023 BWZhongda Hospital Affiliated to Southeast University, Jiangsu Province High-Level Hospital Pairing Assistance Construction Funds zdlyg02
6 · The paper itself

Abstract

backgroundRecent findings have spotlighted sarcopenia as a critical factor exacerbating cardiovascular risk in dialysis patients. However, no studies have investigated the relationship of muscle characteristics with thoracic aortic calcification (TAC). We explored whether skeletal muscle radiodensity (SMD) and skeletal muscle index (SMI) are associated with TAC in dialysis patients.

methodsIn this study, 2517 dialysis patients (between January 2020 and June 2023) from four centres with chest computed tomography (CT) scans were analysed cross-sectionally. A cohort of 544 initial-dialysis patients (between January 2014 and December 2020) was followed for TAC progression. Chest CT images were used to assess SMD and SMI at the L1 level, as well as to measure the scores of TAC, including ascending TAC (ATAC), aortic arch calcification (AoAC) and descending TAC (DTAC). Multivariable linear regression models were employed to assess the effects of SMD and SMI on TAC and its progression. Restricted cubic spline was used to assess the potential non-linear relationships of SMD and SMI with TAC progression.

resultsThe mean (SD) age for the cross-sectional study was 54.8 (14.0) years, with males accounting for 58.2%. Over a mean (SD) follow-up duration of 3.45 (1.82) years, 85.7% showed TAC progression. Comparing the highest quartile of SMD to the lowest quartile, a significant inverse association was observed with TAC (β, -1.08 [-1.42 to -0.75]; p < 0.001); similar trends were noted for SMI (β, -0.42 [-0.74 to -0.10]; p = 0.011). SMD and SMI as continuous variables were also both significantly negatively correlated with TAC. In the longitudinal study, multivariable linear regression models revealed that an increase of 1 SD in SMD resulted in a decrease of 0.10 SD (95% CI, -0.17 to -0.02; p = 0.011) in TAC progression, and an increase of 1 SD in SMI resulted in a decrease of 0.12 SD (95% CI, -0.20 to -0.04; p = 0.003) in TAC progression. Restricted cubic spline models excluded non-linear trends for the relationships of SMD and SMI with TAC progression. The associations of SMD and SMI with DTAC were consistent with those observed for TAC, but neither showed a significant association with ATAC.

conclusionsHigher SMD and higher SMI were significantly associated with lower TAC and its progression in dialysis patients. Improving SMD and SMI could be a new approach for reducing TAC.

Indexed as

Aorta, ThoracicMuscle, SkeletalRenal DialysisSarcopeniaVascular CalcificationAgedCross-Sectional StudiesDisease ProgressionFemaleHumansMaleMiddle AgedTomography, X-Ray Computedcardiovascular diseasescomputed tomographydialysisskeletal muscle indexskeletal muscle radiodensitythoracic aortic calcification

Identifiers

PMID40241470
PMCPMC12003956

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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.