Evidence map›Paper›PMID 36444383›Full record

ArticlePeerJ2022

Sarcopenia and echocardiographic parameters for prediction of cardiovascular events and mortality in patients undergoing maintenance hemodialysis.

Mengyan Zhang, Liuping Zhang, Yezi Hu, Ying Wang, Shengchun Xu, Xiaotong Xie, Tian Xu, Zuolin Li, Hui Jin, Hong Liu

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% of its field
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
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  5. Article
  6. Review
  7. The predictive valueFrontiers in medicine · 2025
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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

10 authors at 1 institution in 1 country.

Mengyan Zhang *Zhongda Hospital, Southeast University School of Medicine, Institute of Nephrology, Nanjing, Jiangsu Province, China.
Liuping Zhang *Zhongda Hospital, Southeast University School of Medicine, Institute of Nephrology, Nanjing, Jiangsu Province, China.
Yezi HuZhongda Hospital, Southeast University School of Medicine, Institute of Nutrition, Nanjing, Jiangsu Province, China.
Ying WangZhongda Hospital, Southeast University School of Medicine, Institute of Nephrology, Nanjing, Jiangsu Province, China.
Shengchun XuZhongda Hospital, Southeast University School of Medicine, Institute of Nephrology, Nanjing, Jiangsu Province, China.
Xiaotong XieZhongda Hospital, Southeast University School of Medicine, Institute of Nephrology, Nanjing, Jiangsu Province, China.
Tian XuZhongda Hospital, Southeast University School of Medicine, Institute of Nephrology, Nanjing, Jiangsu Province, China.
Zuolin LiZhongda Hospital, Southeast University School of Medicine, Institute of Nephrology, Nanjing, Jiangsu Province, China.
Hui JinZhongda Hospital, Southeast University School of Medicine, Institute of Nutrition, Nanjing, Jiangsu Province, China.
Hong LiuZhongda Hospital, Southeast University School of Medicine, Institute of Nephrology, Nanjing, Jiangsu Province, China.
Zhongda Hospital Southeast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sarcopenia is prevalent and is associated with the occurrence of cardiovascular complications in patients undergoing maintenance hemodialysis (MHD). It is unknown how skeletal muscle may be associated with aspects of myocardial structure and function. This study aimed to evaluate the association between sarcopenia and cardiac structure and function in patients undergoing MHD. We also examined the prognostic role of sarcopenia for mortality and cardiovascular events (CVE) in this population. Methods: Participants from a single center underwent bioimpedance body composition analysis to measure skeletal muscle and echocardiography to assess myocardial structure and function. Sarcopenia was diagnosed based on the Asian Working Group for Sarcopenia criteria. The end points were all-cause mortality and CVE. Results: Of the 158 participants, 46 (29.1%) had sarcopenia, 102 (64.6%) had left ventricular diastolic dysfunction (LVDD), and 106 (67.0%) had left ventricular hypertrophy (LVH). Participants with sarcopenia had smaller right ventricular sizes (2.54 ± 0.77 Conclusion: Our findings demonstrated that sarcopenia is associated with LVDD and LVH, and is associated with a higher probability of death and CVE.

Indexed as

SarcopeniaVentricular Dysfunction, LeftEchocardiographyHand StrengthHumansHypertrophy, Left VentricularRenal DialysisCardiovascular eventsEchocardiographyHemodialysisMortalitySarcopenia

Identifiers

PMID36444383
PMCPMC9700452
OpenAlexW4309721590

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.