Evidence map›Paper›PMID 39462351›Full record

ArticleBMC geriatrics2024

The application of Chinese version of SARC-F and SARC-CalF in sarcopenia screening against five definitions: a diagnostic test accuracy study.

Jia-Yu Guo, Kang Yu, Chun-Wei Li, Yuan-Yuan Bao, Yu Zhang, Fang Wang, Rong-Rong Li, Hai-Yan Xie

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Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

8 authors.

Jia-Yu GuoDepartment of Clinical Nutrition, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC), Beijing, 100730, China.
Kang YuDepartment of Clinical Nutrition, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC), Beijing, 100730, China. yuk1997@sina.com.
Chun-Wei LiDepartment of Clinical Nutrition, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC), Beijing, 100730, China.
Yuan-Yuan BaoDepartment of Clinical Nutrition, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC), Beijing, 100730, China.
Yu ZhangDepartment of Clinical Nutrition, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC), Beijing, 100730, China.
Fang WangDepartment of Clinical Nutrition, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC), Beijing, 100730, China.
Rong-Rong LiDepartment of Clinical Nutrition, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC), Beijing, 100730, China.
Hai-Yan XieDepartment of Health Care, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC), Beijing, China.

Funding

National High Level Hospital Clinical Research Funding 2022-PUMCH-B-055
6 · The paper itself

Abstract

backgroundSARC-F questionnaire is a simple and convenient tool for sarcopenia screening, and SARC-CalF is a modified version of it. The developments of their Chinese versions are warranted for the clinical use for Chinese population. This study aimed to culturally adapt the SARC-F questionnaire into Chinese using standardized methods, validate the reliability and diagnostic accuracy of the Chinese version SARC-F and SARC-CalF against five sarcopenia diagnosis criteria, and determine optimal cut-off values for clinical practice in Chinese population.

methodsThe translation and cross-cultural adaptation of SARC-F into Chinese were conducted following the methodological report from European Union Geriatric Medicine Society Sarcopenia Special Interest Group. The Chinese version of SARC-F was validated through a diagnostic test, using diagnostic criteria of sarcopenia recommended by the revised 2019 European Working Group on Sarcopenia in Older People (EWGSOP2) consensus, Asian Working Group for Sarcopenia (AWGS2019) consensus, the International Working Group on Sarcopenia (IWGS), the Foundation for the National Institutes of Health (FNIH) Biomarkers Consortium and the Sarcopenia Definition and Outcomes Consortium (SDOC). Additional analysis was done against the criteria of severe sarcopenia according to the revised EWGSOP2 and AWGS2019.

resultsThe Chinese version of SARC-F was well translated and demonstrated good reliability and acceptability. The diagnostic test included 1859 community-dwelling older individuals from two medical centers. Against five different definitions of sarcopenia, the Chinese version of SARC-F showed reasonable diagnostic accuracy for sarcopenia screening (AUC 0.614-0.821), and was demonstrated low sensitivity (13.7-37.9%) but high specificity (94.8-97.7%) with a cut-off value of ≥ 4. SARC-CalF significantly enhanced the diagnostic accuracy of SARC-F when using definitions of EWGSOP2, AWGS2019 and IWGS (all P ≤ 0.001). A score of ≥ 2 for SARC-F and ≥ 7 for SARC-CalF were established as optimal cut-off points for identifying older individuals as at risk of sarcopenia in Chinese population.

conclusionsThe Chinese version SARC-F is of reasonable reliability and validity for sarcopenia screening. Despite its low sensitivity, it proves to be a useful tool to identify severe cases in community taking advantage of its simplicity. SARC-CalF appears to be a more suitable screening tool for clinical use in detecting sarcopenia.

Indexed as

SarcopeniaTranslationsAgedAged, 80 and overChinaFemaleGeriatric AssessmentHumansMaleMass ScreeningMiddle AgedReproducibility of ResultsSurveys and QuestionnairesDiagnostic testSARC-CalFSARC-FSarcopeniaValidation

Identifiers

PMID39462351
PMCPMC11515234

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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.