Evidence map›Paper›PMID 37428864›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2023

Predicting Slow Walking Speed From a Pooled Cohort Analysis: Sarcopenia Definitions, Agreement, and Prevalence in Australia and New Zealand.

Jesse Zanker, David Scott, Cassandra Szoeke, Sara Vogrin, Sheena Patel, Terri Blackwell, Stefanie Bird, Ben Kirk, Jacqueline Center, Dima A Alajlouni and 6 more

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

16 authors.

Jesse ZankerAustralian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St. Albans, Victoria, Australia.ORCID 0000-0003-3463-6827
David ScottInstitute for Physical Activity and Nutrition, Deakin University, Burwood, Victoria, Australia.ORCID 0000-0001-5226-1972
Cassandra SzoekeDepartment of Medicine, Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia.
Sara VogrinAustralian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St. Albans, Victoria, Australia.
Sheena PatelResearch Institute, California Pacific Medical Center, San Francisco, California, USA.
Terri BlackwellResearch Institute, California Pacific Medical Center, San Francisco, California, USA.ORCID 0000-0003-0012-7020
Stefanie BirdAustralian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St. Albans, Victoria, Australia.
Ben KirkAustralian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St. Albans, Victoria, Australia.ORCID 0000-0002-0176-776X
Jacqueline CenterSkeletal Diseases Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia.
Dima A AlajlouniSkeletal Diseases Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia.
Tiffany GillAdelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.ORCID 0000-0002-2822-2436
Graeme JonesMenzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.ORCID 0000-0002-9814-0006
Julie A PascoDepartment of Medicine, Western Health, The University of Melbourne, St. Albans, Victoria, Australia.
Debra L WatersDepartment of Medicine, School of Physical Education, Sport and Exercise Sciences, University of Otago, Dunedin, New Zealand.
Peggy M CawthonResearch Institute, California Pacific Medical Center, San Francisco, California, USA.ORCID 0000-0003-4938-9478
Gustavo DuqueAustralian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St. Albans, Victoria, Australia.ORCID 0000-0001-8126-0637

Funding

AmgenAustralian Medical Research Future APP2005987Australian National Health and Medical Research Council GNT1174886Deakin UniversityMRFF APP1199726NHMRC APP1162867
6 · The paper itself

Abstract

backgroundRecent operational definitions of sarcopenia have not been replicated and compared in Australia and New Zealand (ANZ) populations. We aimed to identify sarcopenia measures that discriminate ANZ adults with slow walking speed (<0.8 m/s) and determine the agreement between the Sarcopenia Definitions and Outcomes Consortium (SDOC) and revised European Working Group for Sarcopenia in Older People (EWGSOP2) operational definitions of sarcopenia.

methodsEight studies comprising 8 100 ANZ community-dwelling adults (mean age ± standard deviation, 62.0 ± 14.4 years) with walking speed, grip strength (GR), and lean mass data were combined. Replicating the SDOC methodology, 15 candidate variables were included in sex-stratified classification and regression tree models and receiver operating characteristic curves on a pooled cohort with complete data to identify variables and cut points discriminating slow walking speed (<0.8 m/s). Agreement and prevalence estimates were compared using Cohen's Kappa (CK).

resultsReceiver operating characteristic curves identified GR as the strongest variable for discriminating slow from normal walking speed in women (GR <20.50 kg, area under curve [AUC] = 0.68) and men (GR <31.05 kg, AUC = 0.64). Near-perfect agreement was found between the derived ANZ cut points and SDOC cut points (CK 0.8-1.0). Sarcopenia prevalence ranged from 1.5% (EWGSOP2) to 37.2% (SDOC) in women and 1.0% (EWGSOP2) to 9.1% (SDOC) in men, with no agreement (CK <0.2) between EWGSOP2 and SDOC.

conclusionsGrip strength is the primary discriminating characteristic for slow walking speed in ANZ women and men, consistent with findings from the SDOC. Sarcopenia Definitions and Outcomes Consortium and EWGSOP2 definitions showed no agreement suggesting these proposed definitions measure different characteristics and identify people with sarcopenia differently.

Indexed as

SarcopeniaAgedFemaleHand StrengthHumansMaleNew ZealandPrevalenceWalking SpeedGrip strengthMuscle strengthPhysical performanceSarcopeniaWalking speed

Identifiers

PMID37428864
PMCPMC10692428

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Registered trials

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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.