Evidence map›Paper›PMID 39757939›Full record

SynthesisAge and ageing2025

Systematic review and meta-analysis of the prevalence of frailty and pre-frailty amongst older hospital inpatients in low- and middle-income countries.

Sean Lawlor Davidson, Jim Lee, Luke Emmence, Emily Bickerstaff, George Rayers, Elizabeth Davidson, Jenny Richardson, Heather Anderson, Richard Walker, Catherine Dotchin

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Age and ageing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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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.

Sean Lawlor DavidsonNewcastle University-Population Health Sciences Institute, Newcastle upon Tyne, Tyne and Wear, UK.ORCID 0000-0003-4072-0072
Jim LeeNewcastle University-Population Health Sciences Institute, Newcastle upon Tyne, Tyne and Wear, UK.
Luke EmmenceNewcastle University-Population Health Sciences Institute, Newcastle upon Tyne, Tyne and Wear, UK.
Emily BickerstaffNewcastle University-Population Health Sciences Institute, Newcastle upon Tyne, Tyne and Wear, UK.
George RayersNewcastle University-Population Health Sciences Institute, Newcastle upon Tyne, Tyne and Wear, UK.
Elizabeth DavidsonTe Whatu Ora Health New Zealand Southern-Department of Psychiatry Dunedin, Otago, New Zealand.
Jenny RichardsonNorthumbria Healthcare NHS Foundation Trust-Department of Elderly Care, North Shields, UK.
Heather AndersonNorthumbria Healthcare NHS Foundation Trust-Department of Elderly Care, North Shields, UK.
Richard WalkerNewcastle University-Population Health Sciences Institute, Newcastle upon Tyne, Tyne and Wear, UK.
Catherine DotchinNorthumbria Healthcare NHS Foundation Trust-Department of Elderly Care, North Shields, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs populations age, low- and middle-income countries (LMICs) are rapidly adapting hospital services to meet the needs of older populations. This systematic review aimed to establish the prevalence of frailty and pre-frailty amongst older people admitted to hospital in LMICs, and to compare levels with existing estimates for high-income settings.

methodsDatabases Medline, Embase, CINAHL and PsychInfo were searched, and results were manually screened by two researchers. Included studies were cross-sectional or cohort design and reported data from hospital inpatients, aged ≥60 years, in LMICs, using validated methods for identifying frailty. Risk of bias was assessed by two researchers using the Joanna Briggs Institute checklist. Where possible, results were synthesised using meta-analysis.

resultsTwenty-nine studies were included, all reporting data from middle-income countries. Physical frailty tools were the most common, with Fried's phenotype and the FRAIL Scale being the most often used methods of assessment. The pooled estimate of the prevalence of frailty was 39.1% [95% confidence interval (CI) 31.9-46.6%] comprising data from 23 311 older inpatients. For pre-frailty, prevalence was 40.0% (95% CI 25.1-51.4%) from 6954 individuals. DISCUSSION: Due to the paucity of eligible studies and their geographical distribution, these pooled estimates are only representative of the burden of frailty in select middle-income settings (particularly China). Future research should seek to establish the prevalence of frailty in hospitals in low-income countries, and to assess clinical outcomes by frailty status, in order to develop bespoke clinical tools and to aid the planning of future geriatric services.

Indexed as

Developing CountriesFrail ElderlyFrailtyGeriatric AssessmentInpatientsAgedAged, 80 and overAge FactorsFemaleHumansMaleMiddle AgedPrevalenceRisk Factorsfrailtylow- and middle-incomelow- and middle-income countries (LMIC)older peopleprefrailtyprevalencesystematic review

Identifiers

PMID39757939
PMCPMC11701313

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.