Evidence map›Paper›PMID 34901910›Full record

ArticleThe Lancet regional health. Europe2022

Inequalities in developing multimorbidity over time: A population-based cohort study from an urban, multi-ethnic borough in the United Kingdom.

Alessandra Bisquera, Ellie Bragan Turner, Lesedi Ledwaba-Chapman, Rupert Dunbar-Rees, Nasrin Hafezparast, Martin Gulliford, Stevo Durbaba, Marina Soley-Bori, Julia Fox-Rushby, Hiten Dodhia and 2 more

Abstract read
In one paragraph

Article in The Lancet regional health. Europe, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

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

  1. Pooled it
  2. Asthma and Multimorbidity Amongst Ethnic Minority Groups in High Income Countries.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2026
    Review
  3. Learning from scale-up: a qualitative study of scaling-up interventions for people with multiple long-term conditions in primary care.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2026
    Article
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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

12 authors.

Alessandra BisqueraKing's College London, School of Population Health & Environmental Sciences, London, UK.
Ellie Bragan TurnerOutcomes Based Healthcare, Cavendish Square, London, UK.
Lesedi Ledwaba-ChapmanKing's College London, School of Population Health & Environmental Sciences, London, UK.
Rupert Dunbar-ReesOutcomes Based Healthcare, Cavendish Square, London, UK.
Nasrin HafezparastOutcomes Based Healthcare, Cavendish Square, London, UK.
Martin GullifordKing's College London, School of Population Health & Environmental Sciences, London, UK.
Stevo DurbabaKing's College London, School of Population Health & Environmental Sciences, London, UK.
Marina Soley-BoriKing's College London, School of Population Health & Environmental Sciences, London, UK.
Julia Fox-RushbyKing's College London, School of Population Health & Environmental Sciences, London, UK.
Hiten DodhiaKing's College London, School of Population Health & Environmental Sciences, London, UK.
Mark AshworthKing's College London, School of Population Health & Environmental Sciences, London, UK.
Yanzhong WangKing's College London, School of Population Health & Environmental Sciences, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial and material deprivation accelerate the development of multimorbidity, yet the mechanisms which drive multimorbidity pathways and trajectories remain unclear. We aimed to examine the association between health inequality, risk factors and accumulation or resolution of LTCs, taking disease sequences into consideration.

methodsWe conducted a retrospective cohort of adults aged 18 years and over, registered between April 2005 and May 2020 in general practices in one inner London borough (

findingsParticipants were followed up for a median of 4.2 years (IQR = 1·8 - 8·4); 631,760 (76%) entered the study with no LTCs, 121,424 (15%) with 1 LTC, 41,720 (5%) with 2 LTCs, and 31,966 (4%) with three or more LTCs. At the end of follow-up, 194,777 (24%) gained one or more LTCs, while 45,017 (5%) had resolved LTCs and 27,021 (3%) died. In multistate models, deprivation (hazard ratio [HR] between 1·30 to 1·64), female sex (HR 1·13 to 1·20), and Black ethnicity (HR 1·20 to 1·30; vs White) were independently associated with increased risk of transition from one to two LTCs, and shorter time spent in a healthy state. Substance use was the strongest risk factor for multimorbidity with an 85% probability of gaining LTCs over the next year. First order Markov chains identified consistent disease sequences including: chronic pain or osteoarthritis followed by anxiety and depression; alcohol and substance dependency followed by HIV, viral hepatitis, and liver disease; and morbid obesity followed by diabetes, hypertension, and chronic pain.

interpretationWe examined the relations among 32 LTCs, taking the order of disease occurrence into consideration. Distinctive patterns for the development and accumulation of multimorbidity have emerged, with increased risk of transitioning from no conditions to multimorbidity and mortality related to ethnicity, deprivation and gender. Musculoskeletal disorders, morbid obesity and substance abuse represent common entry points to multimorbidity trajectories.

Indexed as

IMD, Indices of Multiple DeprivationLong term conditionsLTC, Long term conditionsMCF, Mean cumulative functionMultimorbidityMulti state markov chainProbabilitiesQOF, Quality Outcomes FrameworkUK, United Kingdom

Identifiers

PMID34901910
PMCPMC8640725

What OpenQuestion holds

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LicenceCC BY
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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.