Evidence map›Paper›PMID 34845250›Full record

ArticleScientific reports2021

Prevalence of low muscle mass and associated factors in community-dwelling older adults in Singapore.

Siew Ling Tey, Dieu Thi Thu Huynh, Yatin Berde, Geraldine Baggs, Choon How How, Yen Ling Low, Magdalin Cheong, Wai Leng Chow, Ngiap Chuan Tan, Samuel Teong Huang Chew

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 37 citations in OpenAlex.

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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 7 institutions in 3 countries.

Siew Ling TeyAbbott Nutrition Research and Development, Asia-Pacific Center, Singapore, 138668, Singapore. siewling.tey@abbott.com.
Dieu Thi Thu HuynhAbbott Nutrition Research and Development, Asia-Pacific Center, Singapore, 138668, Singapore.
Yatin BerdeStatistical Services, Cognizant Technologies Solution Pvt. Ltd., Mumbai, India.
Geraldine BaggsAbbott Nutrition Research and Development, Columbus, OH, 43219, USA.
Choon How HowCare and Health Integration, Changi General Hospital, Singapore, 529889, Singapore.
Yen Ling LowAbbott Nutrition Research and Development, Asia-Pacific Center, Singapore, 138668, Singapore.
Magdalin CheongDepartment of Dietetic & Food Services, Changi General Hospital, Singapore, 529889, Singapore.
Wai Leng ChowHealth Services Research, Changi General Hospital, Singapore, 529889, Singapore.
Ngiap Chuan TanSingHealth-Duke NUS Family Medicine Academic Clinical Program, Duke-NUS Medical School, Singapore, 169857, Singapore.
Samuel Teong Huang ChewDepartment of Geriatric Medicine, Changi General Hospital, Singapore, 529889, Singapore.
Abbott (Singapore) · SGChangi General Hospital · SGCognizant (India) · INNational University of Singapore · SGNutrition 21 (United States) · USSingHealth Duke-NUS Academic Medical Centre · SGSingHealth Polyclinics · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The population is rapidly aging worldwide, and there is an age-related decline in muscle mass. Therefore, it is important to examine the prevalence and associated factors of low appendicular skeletal muscle mass index (ASMI) in older adults. The objectives of this cross-sectional study were (i) to determine the prevalence of low ASMI (ASM/height

Indexed as

AgedAged, 80 and overAgingAnthropometryBody CompositionCross-Sectional StudiesFemaleHospitalizationHumansIndependent LivingLinear ModelsMaleMalnutritionMass ScreeningMiddle AgedMuscle, Skeletal

Identifiers

PMID34845250
PMCPMC8630119
OpenAlexW3217809922

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.