Evidence map›Paper›PMID 42787001›Full record

ArticleWellcome open research2026

Ethnic differences in the patterns, incidence and prevalence of multiple long-term conditions: a systematic review protocol.

Irene F Bossman, Barbara I Nicholl, Srinivasa Vittal Katikireddi, Susan Browne, Valerie Wells, Catherine A O'Donnell

Abstract read
In one paragraph

Article in Wellcome open research, 2026. 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. Article
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

6 authors.

Irene F BossmanGeneral Practice and Primary Care, University of Glasgow School of Health and Wellbeing, Glasgow, Scotland, UK.ORCID https://orcid.org/0000-0002-6269-6600
Barbara I NichollGeneral Practice and Primary Care, University of Glasgow School of Health and Wellbeing, Glasgow, Scotland, UK.ORCID https://orcid.org/0000-0001-5639-0130
Srinivasa Vittal KatikireddiHealth Economics & Health Technology Assessment, University of Glasgow School of Health and Wellbeing, Glasgow, Scotland, UK.ORCID https://orcid.org/0000-0001-6593-9092
Susan BrowneGeneral Practice and Primary Care, University of Glasgow School of Health and Wellbeing, Glasgow, Scotland, UK.
Valerie WellsUniversity of Glasgow MRC/CSO Social and Public Health Sciences Unit, Glasgow, Scotland, UK.
Catherine A O'DonnellGeneral Practice and Primary Care, University of Glasgow School of Health and Wellbeing, Glasgow, Scotland, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: Multiple long-term conditions (MLTC) or multimorbidity is increasing among populations worldwide in the last decades. Less is known about the prevalence, incidence, socio-demographic patterning and combinations of long-term conditions among different ethnic groups globally. This systematic review protocol plans to review the current literature to understand the incidence, patterns, prevalence, and impact of MLTC in different ethnic populations. Methods: This systematic review will include quantitative studies (cohort studies, cross-sectional, case-control, and baseline data from Randomised Control Trials) reporting on MLTC among adults across different ethnic groups in all settings (primary care, community or hospital). The following databases will be searched: Ovid MEDLINE, EMBASE, PsycINFO, CINAHL, ASSIA and COCHRANE CENTRAL using a combination of search terms including MLTC or multimorbidity and ethnicity. The exposure of interest is ethnicity, and included studies will report on at least one of these outcomes by ethnicity or a proxy of it: 1. prevalence and incidence of MLTC; 2. MLTC types (combinations or patterns of conditions including physical-only, mental and physical and complex multimorbidity, which is three or more (3+) chronic conditions across 3+ body system), and 3. health related outcomes (healthcare utilisation and mortality). Two reviewers will screen potential articles by titles/abstracts and full texts independently. A synthesis without meta-analysis approach to comprehensively summarise the key attributes and findings reported from each included study will be employed initially. Meta-analysis will be conducted where data allow, to estimate the risk of MLTC in minority ethnic groups vs majority ethnicity. Discussion: Some studies suggest people from ethnic minority backgrounds have a greater burden of MLTC, yet they are usually underserved in health research. Synthesising primary studies that focus on MLTC and ethnicity in this review will provide a global overview of prevalence or incidence data and their reported health outcomes among diverse ethnic populations.

Indexed as

ethnic inequalitiesethnicityminority ethnic groupsmultimorbiditymultimorbidity patternsmultimorbidity typesMultiple long-term conditions (MLTC)prevalenceracesystematic review

Identifiers

PMID42787001
PMCPMC13598395

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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.