Evidence map›Paper›PMID 34557797›Full record

ArticleThe Lancet regional health. Europe2021

Identifying longitudinal clusters of multimorbidity in an urban setting: A population-based cross-sectional study.

Alessandra Bisquera, Martin Gulliford, Hiten Dodhia, Lesedi Ledwaba-Chapman, Stevo Durbaba, Marina Soley-Bori, Julia Fox-Rushby, Mark Ashworth, Yanzhong Wang

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in The Lancet regional health. Europe, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07660757 (Epidemiological Cluster Evaluation in Patients Admitted to Internal Medicine, With at Least One of the Following Diagnoses), which is not on this map. Cited by 45 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 3 pooled it
10.5field-weighted citation impact, top 1% 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.

NCT07660757 completednot on this mapstarted 2023, after this paper: background citation

Epidemiological Cluster Evaluation in Patients Admitted to Internal Medicine, With at Least One of the Following Diagnoses: Heart Failure, COPD, Renal Failure. The FADOI IN-CluDiMI Study

TypeobservationalSponsorFadoi Foundation, ItalyRan2023 to 2024Enrolled4,500ConditionsHeart Failure, Chronic Obstructive Pulmonary Disease (COPD), Chronic Kidney Disease (CKD)
3 · Its place in the literature

Who cites it

45 citing papers in PubMed, 3 syntheses or guidelines pooled it, 87 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

9 authors at 1 institution in 1 country.

Alessandra BisqueraSchool of Population Health & Environmental Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
Martin GullifordSchool of Population Health & Environmental Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
Hiten DodhiaSchool of Population Health & Environmental Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
Lesedi Ledwaba-ChapmanSchool of Population Health & Environmental Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
Stevo DurbabaSchool of Population Health & Environmental Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
Marina Soley-BoriSchool of Population Health & Environmental Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
Julia Fox-RushbySchool of Population Health & Environmental Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
Mark AshworthSchool of Population Health & Environmental Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
Yanzhong WangSchool of Population Health & Environmental Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
King's College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobally, there is increasing research on clusters of multimorbidity, but few studies have investigated multimorbidity in urban contexts characterised by a young, multi-ethnic, deprived populations. This study identified clusters of associative multimorbidity in an urban setting.

methodsThis is a population-based retrospective cross-sectional study using electronic health records of all adults aged 18 years and over, registered between April 2005 to May 2020 in general practices in one inner London borough. Multiple correspondence analysis and cluster analysis was used to identify groups of multimorbidity from 32 long-term conditions (LTCs).

resultsThe population included 41 general practices with 826,936 patients registered between 2005 and 2020, with mean age 40 (SD15·6) years. The prevalence of multimorbidity was 21% (

interpretationMental health problems, pain, and at-risk behaviours leading to cardiovascular diseases are the important clusters identified in this young, urban population.

fundingImpact on Urban Health, United Kingdom.

Indexed as

ClusteringCorrespondence analysisLong term conditionsLTC, long term conditionsMCA, multiple correspondence analysisMultimorbidityQOF, quality outcomes frameworkUK, United KingdomWSS/BSS, ratio of within- to between- sum of squares

Identifiers

PMID34557797
PMCPMC8454750
OpenAlexW3123438853

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.