Evidence map›Paper›PMID 39045545›Full record

ArticleEClinicalMedicine2024

Association of latent class analysis-derived multimorbidity clusters with adverse health outcomes in patients with multiple long-term conditions: comparative results across three UK cohorts.

Stefanie J Krauth, Lewis Steell, Sayem Ahmed, Emma McIntosh, Grace O Dibben, Peter Hanlon, Jim Lewsey, Barbara I Nicholl, David A McAllister, Susan M Smith and 16 more

Abstract read
In one paragraph

Article in EClinicalMedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. The kidney failure risk equation in people with CKD and multimorbidity: the effect of competing mortality risks.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2026
    Observational
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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

26 authors.

Stefanie J KrauthGeneral Practice and Primary Care, School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
Lewis SteellGeneral Practice and Primary Care, School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
Sayem AhmedHealth Economics and Health Technology Assessment, School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
Emma McIntoshHealth Economics and Health Technology Assessment, School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
Grace O DibbenMRC/CSO Social & Public Health Sciences Unit, School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
Peter HanlonGeneral Practice and Primary Care, School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
Jim LewseyHealth Economics and Health Technology Assessment, School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
Barbara I NichollGeneral Practice and Primary Care, School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
David A McAllisterHealth Economics and Health Technology Assessment, School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
Susan M SmithDiscipline of Public Health and Primary Care, Trinity College Dublin, Dublin, Ireland.
Rachael EvansDepartment of Respiratory Sciences, University of Leicester, Leicester, United Kingdom.
Zahira AhmedDepartment of Respiratory Sciences, University of Leicester, Leicester, United Kingdom.
Sarah DeanUniversity of Exeter Medical School, Exeter, United Kingdom.
Colin GreavesSchool of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, United Kingdom.
Shaun BarberUniversity of Exeter Medical School, Exeter, United Kingdom.
Patrick DohertyDepartment of Health Science, University of York, York, United Kingdom.
Nikki GardinerDepartment of Cardiopulmonary Rehabilitation, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom.
Tracy IbbotsonGeneral Practice and Primary Care, School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
Kate JollyInstitute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom.
Paula OrmandySchool of Health and Society, University of Salford, Manchester, United Kingdom.
Sharon A SimpsonMRC/CSO Social & Public Health Sciences Unit, School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
Rod S TaylorMRC/CSO Social & Public Health Sciences Unit, School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
Sally J SinghDepartment of Respiratory Sciences, University of Leicester, Leicester, United Kingdom.
Frances S MairGeneral Practice and Primary Care, School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
Bhautesh Dinesh JaniGeneral Practice and Primary Care, School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
PERFORM research team

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: It remains unclear how to meaningfully classify people living with multimorbidity (multiple long-term conditions (MLTCs)), beyond counting the number of conditions. This paper aims to identify clusters of MLTCs in different age groups and associated risks of adverse health outcomes and service use. Methods: Latent class analysis was used to identify MLTCs clusters in different age groups in three cohorts: Secure Anonymised Information Linkage Databank (SAIL) (n = 1,825,289), UK Biobank (n = 502,363), and the UK Household Longitudinal Study (UKHLS) (n = 49,186). Incidence rate ratios (IRR) for MLTC clusters were computed for: all-cause mortality, hospitalisations, and general practice (GP) use over 10 years, using <2 MLTCs as reference. Information on health outcomes and service use were extracted for a ten year follow up period (between 01 Findings: Clustering MLTCs produced largely similar results across different age groups and cohorts. MLTC clusters had distinct associations with health outcomes and service use after accounting for LTC counts, in fully adjusted models. The largest associations with mortality, hospitalisations and GP use in SAIL were observed for the " Interpretation: Personalising care around MLTC clusters that have higher risk of adverse outcomes may have important implications for practice (in relation to secondary prevention), policy (with allocation of health care resources), and research (intervention development and targeting), for people living with MLTCs. Funding: This study was funded by the National Institute for Health and Care Research (NIHR; Personalised Exercise-Rehabilitation FOR people with Multiple long-term conditions (multimorbidity)-NIHR202020).

Indexed as

ClusteringHospitalisationMortalityMultimorbidityPrimary health careService use

Identifiers

PMID39045545
PMCPMC11261399

What OpenQuestion holds

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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.