Evidence map›Paper›PMID 38865001›Full record

ArticleInternational urology and nephrology2024

Association of muscle mass and radiodensity assessed by chest CT with all-cause and cardiovascular mortality in hemodialysis patients.

Jianqiang Liu, Zengchun Ye, Juncheng Xiang, Qian Wang, Wenbo Zhao, Weixuan Qin, Jialing Rao, Yanru Chen, Zhaoyong Hu, Hui Peng

Abstract read
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In one paragraph

Article in International urology and nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Jianqiang Liu *Division of Nephrology, Department of Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Ave., Guangzhou, 510630, China.
Zengchun Ye *Division of Nephrology, Department of Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Ave., Guangzhou, 510630, China.
Juncheng XiangDivision of Nephrology, Department of Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Ave., Guangzhou, 510630, China.
Qian WangDivision of Nephrology, Department of Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Ave., Guangzhou, 510630, China.
Wenbo ZhaoDivision of Nephrology, Department of Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Ave., Guangzhou, 510630, China.
Weixuan QinDivision of Nephrology, Department of Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Ave., Guangzhou, 510630, China.
Jialing RaoDivision of Nephrology, Department of Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Ave., Guangzhou, 510630, China.
Yanru ChenDivision of Nephrology, Department of Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Ave., Guangzhou, 510630, China.
Zhaoyong HuDivision of Nephrology, Department of Medicine, Baylor College of Medicine, Houston, TX, 77030, USA.
Hui PengDivision of Nephrology, Department of Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Ave., Guangzhou, 510630, China. pengh@mail.sysu.edu.cn.

Funding

Guangdong Provincial Enterprise Joint Fund for Basic and Applied Basic Research - Key Project 2021B1515230005Guangzhou Science and Technology Project, China 201807010037the National Natural Science Foundation of Guangdong, China 2022A1515012637the Three Big Construction of Large Science Program of Sun Yat-sen University, China 82000-18833404the Three Big Construction of Large Science Program of Sun Yat-sen University, China 82000-18843406
6 · The paper itself

Abstract

purposeThis study investigates the prognostic value of skeletal muscle index (SMI) and skeletal muscle radiodensity (SMD) measured by chest CT in relation to all-cause and cardiovascular disease (CVD) mortality among hemodialysis (HD) patients.

methodsA retrospective study was conducted from January 2015 to December 2021 involving HD patients at a dialysis center. Chest CT scans at the twelfth thoracic vertebra level (T12) were analyzed to assess SMI and SMD. Sex-specific cut-off values for two metrics were determined using maximally selected rank statistics. Hazard ratios (HRs) were calculated to evaluate the associations of SMI and SMD with mortality. The discrimination of prognostic models was also compared.

resultsThe study included 603 patients with a median age of 58 years. Of these, 187 (31.0%) patients with SMI < 30.00 cm

conclusionsMuscle metrics derived from CT scans at T12 level provide valuable prognostic information which could enhance the role of chest CT in muscle assessment among HD patients.

Indexed as

Cardiovascular DiseasesCause of DeathMuscle, SkeletalRenal DialysisTomography, X-Ray ComputedAgedFemaleHumansMaleMiddle AgedPrognosisRadiography, ThoracicRetrospective StudiesSarcopeniaComputed tomographyHemodialysisMortalityMuscle massMuscle radiodensity

Identifiers

PMID38865001

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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.