Literature DB >> 29778639

SARC-F for Screening of Sarcopenia Among Older Adults: A Meta-analysis of Screening Test Accuracy.

Satoshi Ida1, Ryutaro Kaneko2, Kazuya Murata2.   

Abstract

OBJECTIVE: To examine the screening ability of SARC-F for older adults using a meta-analysis.
DESIGN: Meta-analysis. SETTING AND PARTICIPANTS: The literature review was conducted using MEDLINE, Cochrane Database of Systematic Reviews, and ClinicalTrials.gov. Articles written on and after 1960 that included data regarding the sensitivity and specificity of SARC-F's diagnostic criteria for sarcopenia in older adults were searched. MEASURES: The bivariate random effects model was used to calculate the summary estimates of sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR). The summary receiver operating characteristic curve was used to summarize the overall test performance.
RESULTS: Seven studies involving a total of 12,800 subjects met the eligibility criteria of our study. The pooled results of sensitivity, specificity, PLR, NLR, and DOR with the European Working Group on Sarcopenia in Older People as the reference standard were 0.21 [95% confidence interval (CI), 0.13-0.31], 0.90 (95% CI, 0.83-0.94), 2.16 (95% CI, 1.51-3.09), 0.87 (95% CI, 0.80-0.95), and 2.47 (95% CI, 1.64-3.74), respectively. Overall, we achieved similar pooled results of sensitivity and specificity for studies using the International Working Group on Sarcopenia and Asian Working Group for Sarcopenia as the reference standards. Because few studies used the Foundation National Institute of Health reference standards, a meta-analysis was not performed. CONCLUSIONS/IMPLICATIONS: Although the screening sensitivity performance of SARC-F was poor, its specificity was high; thus, it is an effective tool for selecting subjects who should undergo further testing for confirming a diagnosis of sarcopenia.
Copyright © 2018 AMDA – The Society for Post-Acute and Long-Term Care Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Sarcopenia; accuracy; elderly; meta-analysis

Mesh:

Year:  2018        PMID: 29778639     DOI: 10.1016/j.jamda.2018.04.001

Source DB:  PubMed          Journal:  J Am Med Dir Assoc        ISSN: 1525-8610            Impact factor:   4.669


  43 in total

1.  Establishing an Operational Definition of Sarcopenia in Australia and New Zealand: Delphi Method Based Consensus Statement.

Authors:  J Zanker; D Scott; E M Reijnierse; S L Brennan-Olsen; R M Daly; C M Girgis; M Grossmann; A Hayes; T Henwood; V Hirani; C A Inderjeeth; S Iuliano; J W L Keogh; J R Lewis; A B Maier; J A Pasco; S Phu; K M Sanders; M Sim; R Visvanathan; D L Waters; S C Y Yu; G Duque
Journal:  J Nutr Health Aging       Date:  2019       Impact factor: 4.075

2.  Editorial: Screening for Malnutrition (Undernutrition) in Primary Care.

Authors:  J E Morley
Journal:  J Nutr Health Aging       Date:  2019       Impact factor: 4.075

3.  Editorial: Geriatrics: Highlights of the Last 50 Years.

Authors:  J E Morley
Journal:  J Nutr Health Aging       Date:  2019       Impact factor: 4.075

4.  Editorial: Screening for Sarcopenia.

Authors:  J E Morley; A M Sanford
Journal:  J Nutr Health Aging       Date:  2019       Impact factor: 4.075

5.  International Clinical Practice Guidelines for Sarcopenia (ICFSR): Screening, Diagnosis and Management.

Authors:  E Dent; J E Morley; A J Cruz-Jentoft; H Arai; S B Kritchevsky; J Guralnik; J M Bauer; M Pahor; B C Clark; M Cesari; J Ruiz; C C Sieber; M Aubertin-Leheudre; D L Waters; R Visvanathan; F Landi; D T Villareal; R Fielding; C W Won; O Theou; F C Martin; B Dong; J Woo; L Flicker; L Ferrucci; R A Merchant; L Cao; T Cederholm; S M L Ribeiro; L Rodríguez-Mañas; S D Anker; J Lundy; L M Gutiérrez Robledo; I Bautmans; I Aprahamian; J M G A Schols; M Izquierdo; B Vellas
Journal:  J Nutr Health Aging       Date:  2018       Impact factor: 4.075

6.  Calf Circumference as a Useful Predictor of Sarcopenia in Patients With Liver Diseases.

Authors:  Hiroki Nishikawa; Kazunori Yoh; Hirayuki Enomoto; Yoshinori Iwata; Yoshiyuki Sakai; Kyohei Kishino; Yoshihiro Shimono; Naoto Ikeda; Tomoyuki Takashima; Nobuhiro Aizawa; Ryo Takata; Kunihiro Hasegawa; Takashi Koriyama; Yukihisa Yuri; Takashi Nishimura; Shuhei Nishiguchi; Hiroko Iijima
Journal:  In Vivo       Date:  2020 Sep-Oct       Impact factor: 2.155

7.  SARC-F for screening of sarcopenia among older adults with cancer.

Authors:  Grant R Williams; Mustafa Al-Obaidi; Chen Dai; Smita Bhatia; Smith Giri
Journal:  Cancer       Date:  2020-12-28       Impact factor: 6.860

8.  Singapore multidisciplinary consensus recommendations on muscle health in older adults: assessment and multimodal targeted intervention across the continuum of care.

Authors:  Samuel T H Chew; Geetha Kayambu; Charles Chin Han Lew; Tze Pin Ng; Fangyi Ong; Jonathan Tan; Ngiap Chuan Tan; Shuen-Loong Tham
Journal:  BMC Geriatr       Date:  2021-05-17       Impact factor: 3.921

Review 9.  Screening Tools for Sarcopenia.

Authors:  Hiroki Nishikawa; Akira Asai; Shinya Fukunishi; Toshihisa Takeuchi; Masahiro Goto; Takeshi Ogura; Shiro Nakamura; Kazuki Kakimoto; Takako Miyazaki; Shuhei Nishiguchi; Kazuhide Higuchi
Journal:  In Vivo       Date:  2021 Nov-Dec       Impact factor: 2.155

10.  Sarcopenia as a predictor of mortality among the critically ill in an intensive care unit: a systematic review and meta-analysis.

Authors:  Xiao-Ming Zhang; Denghong Chen; Xiao-Hua Xie; Jun-E Zhang; Yingchun Zeng; Andy Sk Cheng
Journal:  BMC Geriatr       Date:  2021-06-02       Impact factor: 3.921

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