Evidence map›Paper›PMID 34989172›Full record

SynthesisJournal of cachexia, sarcopenia and muscle2022

Diagnosis, prevalence, and mortality of sarcopenia in dialysis patients: a systematic review and meta-analysis.

Xiaoyu Shu, Taiping Lin, Hui Wang, Yanli Zhao, Tingting Jiang, Xuchao Peng, Jirong Yue

Open access · goldAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of cachexia, sarcopenia and muscle, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 145 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
145citing papers in PubMed, 12 pooled it
23.5field-weighted citation impact, top 1% 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

145 citing papers in PubMed, 12 syntheses or guidelines pooled it, 218 citations in OpenAlex.

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85 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Xiaoyu ShuDepartment of Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Taiping LinDepartment of Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Hui WangDepartment of Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yanli ZhaoDepartment of Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Tingting JiangDepartment of Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Xuchao PengDepartment of Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Jirong YueDepartment of Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID 0000-0002-3730-779X
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is no consensus on the prevalence of sarcopenia or its impact on mortality in end-stage renal disease patients undergoing dialysis. This review aimed to summarize the diagnostic criteria of sarcopenia and its prevalence and impact on the mortality of end-stage renal disease patients undergoing dialysis. Embase, MEDLINE, PubMed, and Cochrane Library were searched from inception to 8 May 2021 to retrieve eligible studies that assessed muscle mass by commonly used instruments, such as dual-energy X-ray absorptiometry, bioelectrical impedance analysis, magnetic resonance imaging, and body composition monitor. Two assessment tools matched to study designs were employed to evaluate study quality. Pooled sarcopenia prevalence was calculated with 95% confidence interval (CI), and heterogeneity was estimated using the I

Indexed as

SarcopeniaAgedBody CompositionHumansMiddle AgedMuscle StrengthPrevalenceRenal DialysisDiagnosisDialysisMortalityPrevalenceSarcopenia

Identifiers

PMID34989172
PMCPMC8818609
OpenAlexW4205136518

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.