Evidence map›Paper›PMID 33324043›Full record

ArticleClinical interventions in aging2020

Prevalence of Sarcopenia in Community-Dwelling Older Adults According to Simplified Algorithms for Sarcopenia Consensus Based on Asian Working Group for Sarcopenia.

Hee-Kyung Chang, Ji-Yeon Lee, Cho-Rong Gil, Mi-Kyoung Kim

Open access · goldAbstract read
In one paragraph

Article in Clinical interventions in aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

22 citing papers in PubMed, 37 citations in OpenAlex.

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  6. Effects and Mechanisms of Long-TermFoods (Basel, Switzerland) · 2025
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  18. Longitudinal Association between Sarcopenia and Cognitive Impairment among Older Adults in Rural Malaysia.International journal of environmental research and public health · 2022
    Article
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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

4 authors at 2 institutions in 1 country.

Hee-Kyung ChangCollege of Nursing, Senior Health Research Center of the Health & Science Institute, Gyeongsang National University, Jinju, Gyeongnam-do, South Korea.ORCID 0000-0003-3581-9430
Ji-Yeon LeeNursing Department, Samsung Changwon Hospital, Changwon, Gyeongnam-do, South Korea.
Cho-Rong GilGraduate College of Nursing, Gyeongsang National University, Jinju, Gyeongnam-do, South Korea.
Mi-Kyoung KimGraduate College of Nursing, Gyeongsang National University, Jinju, Gyeongnam-do, South Korea.ORCID 0000-0002-4058-1730
Gyeongsang National University · KRChangwon National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study sought to identify the prevalence of sarcopenia in community-dwelling Korean older adults and validate two simplified diagnostic algorithms based on the Asian Working Group for Sarcopenia (AWGS) algorithm for identifying sarcopenia. PATIENTS AND

methodsPatients (n = 338) aged ≥65 years participated in this cross-sectional study. Muscle strength was measured by hand grip strength, physical performance by gait speed, and muscle mass by the skeletal muscle mass index (SMI). Sarcopenia was assessed using the AWGS-recommended algorithm and two simplified algorithms (A and B). Algorithms A and B were validated with respect to the AWGS-recommended algorithm using the chi-square test, and the sensitivity and specificity were obtained.

resultsSarcopenia prevalence, determined using the AWGS-recommended algorithm, was 40.3% and 41.3% in men and women, respectively. The overall prevalence of sarcopenia was 41.0% by the AWGS-recommended algorithm, 37.6% by algorithm A, and 37.6% by algorithm B; 111 participants were diagnosed with sarcopenia using all three methods (

conclusionWe established sarcopenia prevalence among rural community-dwelling adults in Korea and confirmed that the simplified algorithms were suitable for the identification of sarcopenia in rural community-dwelling older adults in Korea. Further studies are needed to assess whether these simplified algorithms are applicable to older Asian adults with functional and/or cognitive impairment and nursing home residents.

Indexed as

Physical Functional PerformanceSarcopeniaWalking SpeedAgedAged, 80 and overAlgorithmsAsian PeopleCross-Sectional StudiesFemaleGeriatric AssessmentHand StrengthHumansIndependent LivingMaleMuscle, SkeletalMuscle StrengthalgorithmAsian Working Group for SarcopeniaAWGSelderlysarcopeniavalidation

Identifiers

PMID33324043
PMCPMC7732054
OpenAlexW3111006560

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.