Evidence map›Paper›PMID 37902521›Full record

SynthesisAge and ageing2023

Measures of attributes of locomotor capacity in older people: a systematic literature review following the COSMIN methodology.

Germain Honvo, Shaun Sabico, Nicola Veronese, Olivier Bruyère, René Rizzoli, Jotheeswaran Amuthavalli Thiyagarajan, Christopher Mikton, Theresa Diaz, Cyrus Cooper, Jean-Yves Reginster

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Age and ageing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
7.3field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 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 3 institutions in 5 countries.

Germain HonvoWorld Health Organization (WHO) Collaborating Center for Epidemiology of Musculoskeletal Health and Ageing, University of Liège, Liège, Belgium.ORCID 0000-0002-6992-6712
Shaun SabicoChair for Biomarkers of Chronic Diseases, Biochemistry Department, College of Science, King Saud University, Riyadh, Kingdom of Saudi Arabia.ORCID 0000-0002-5248-2350
Nicola VeroneseChair for Biomarkers of Chronic Diseases, Biochemistry Department, College of Science, King Saud University, Riyadh, Kingdom of Saudi Arabia.
Olivier BruyèreWorld Health Organization (WHO) Collaborating Center for Epidemiology of Musculoskeletal Health and Ageing, University of Liège, Liège, Belgium.
René RizzoliWorld Health Organization (WHO) Collaborating Center for Epidemiology of Musculoskeletal Health and Ageing, University of Liège, Liège, Belgium.
Jotheeswaran Amuthavalli ThiyagarajanAgeing and Health Unit, Department of Maternal, Newborn, Child, Adolescent Health and Ageing, World Health Organization (WHO), Geneva, Switzerland.
Christopher MiktonDemographic Change and Healthy Aging Unit, Social Determinants of Health, World Health Organization, Geneva, Switzerland.
Theresa DiazEpidemiology, Monitoring and Evaluation Unit, Maternal, Newborn, Child, Adolescent Health and Ageing, World Health Organization, Geneva, Switzerland.
Cyrus CooperWorld Health Organization (WHO) Collaborating Center for Epidemiology of Musculoskeletal Health and Ageing, University of Liège, Liège, Belgium.
Jean-Yves ReginsterWorld Health Organization (WHO) Collaborating Center for Epidemiology of Musculoskeletal Health and Ageing, University of Liège, Liège, Belgium.
University of Liège · BEWorld Health Organization · CHKing Saud University · SA

Funding

Medical Research Council G0400491Medical Research Council G0601019Medical Research Council MC_PC_21000Medical Research Council MC_PC_21001Medical Research Council MC_PC_21003Medical Research Council MC_PC_21022Medical Research Council MC_U147585819Medical Research Council MC_U147585824Medical Research Council MC_U147585827Medical Research Council MC_UP_A620_1014Medical Research Council MC_UP_A620_1015Medical Research Council MC_UU_12011/1Medical Research Council MC_UU_12011/2Medical Research Council MR/J000094/1World Health Organization 001
6 · The paper itself

Abstract

backgroundLocomotor capacity (LC) is an important domain of intrinsic capacity and key determinant of functional ability and well-being in older age. The United Nations Decade of Healthy Ageing (2021-2030) calls for strengthening data and research on healthy ageing, including the measurement of older persons' LC. To advance the measurement and monitoring of LC, there is pressing need to identify valid and reliable measures.

objectiveTo identify all the available tools that were validated for measurement of LC or of its specific attributes in older people and to assess the methodological quality of the studies and measurement properties of the tools.

designSystematic review.

settingAnywhere (Community-dwelling; long-term care facility; etc.). SUBJECTS: Older people.

methodsWe used highly sensitive search strategies to search the following databases: Medline, Embase, Scopus, CINAHL and PsycINFO. The study was conducted following the COnsensus-based Standards for the selection of health Measurement Instruments (COSMIN) methodology for systematic review of outcome measurement instruments.

resultsA total of 125 studies were included, which assessed tools for balance (n = 84), muscle power (n = 12), muscle strength (n = 32, including four studies about tools for balance and muscle power) and endurance (n = 1). No studies on tools for muscle function, joint function, or locomotor capacity overall, were retrieved. We identified 69 clinician-report or objective assessment tools for balance, 30 for muscle strength, 12 for muscle power and 1 endurance assessment tool. The GRADE assessment of quality of evidence showed that only a few tools have high quality evidence for both sufficient validity and reliability: The Balance Evaluation Systems Test (BESTest), the Mini-Balance Evaluation Systems Test (Mini-BESTest), the Berg Balance Scale (BBS) and the Timed Up and Go (TUG) test.

conclusionsA few tools with high quality evidence for sufficient validity and reliability are currently available for balance assessment in older people that may be recommended for use in clinical and research settings. Further validation studies are required for muscle strength, muscle power and endurance assessment tools.

Indexed as

Activities of Daily LivingHealthy AgingAgedAged, 80 and overConsensusHumansIndependent LivingReproducibility of Resultsbalanceendurancejoint functionlocomotor capacitymeasurement propertiesmuscle functionmuscle powermuscle strengtholder peoplescreening or assessment toolssystematic review

Identifiers

PMID37902521
PMCPMC10615073
OpenAlexW4388035201

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.