Evidence map›Paper›PMID 33572441›Full record

ArticleInternational journal of environmental research and public health2021

Definitions and Prevalence of Multimorbidity in Large Database Studies: A Scoping Review.

Ying Pin Chua, Ying Xie, Poay Sian Sabrina Lee, Eng Sing Lee

Abstract readScoping Review
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

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

  1. Pooled it
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  8. Multi-Morbidity at Death and the US Disadvantage in Mortality.European journal of population = Revue europeenne de demographie · 2025
    Article
  9. Prevalence, Risk Factors, and Multimorbidity Patterns in Climacteric Women with Hypertension.International journal of environmental research and public health · 2025
    Article
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  15. Living With and Beyond Cancer With Comorbid Conditions: Qualitative Insights to Understand Psychosocial Support Needs.Health expectations : an international journal of public participation in health care and health policy · 2024
    Article
  16. Molecular Morbidity Score-Can MicroRNAs Assess the Burden of Disease?International journal of molecular sciences · 2024
    Review
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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

4 authors.

Ying Pin ChuaLee Kong Chian School of Medicine, Nanyang Technological University, Singapore 639798, Singapore.
Ying XieClinical Research Unit, National Healthcare Group Polyclinics, Singapore 138543, Singapore.
Poay Sian Sabrina LeeClinical Research Unit, National Healthcare Group Polyclinics, Singapore 138543, Singapore.ORCID 0000-0002-4660-514X
Eng Sing LeeLee Kong Chian School of Medicine, Nanyang Technological University, Singapore 639798, Singapore.ORCID 0000-0003-4963-535X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultimorbidity presents a key challenge to healthcare systems globally. However, heterogeneity in the definition of multimorbidity and design of epidemiological studies results in difficulty in comparing multimorbidity studies. This scoping review aimed to describe multimorbidity prevalence in studies using large datasets and report the differences in multimorbidity definition and study design.

methodsWe conducted a systematic search of MEDLINE, EMBASE, and CINAHL databases to identify large epidemiological studies on multimorbidity. We used the Preferred Reporting Items for Systematic Reviews and Meta-analysis Extension for Scoping Reviews (PRISMA-ScR) protocol for reporting the results.

resultsTwenty articles were identified. We found two key definitions of multimorbidity: at least two (MM2+) or at least three (MM3+) chronic conditions. The prevalence of multimorbidity MM2+ ranged from 15.3% to 93.1%, and 11.8% to 89.7% in MM3+. The number of chronic conditions used by the articles ranged from 15 to 147, which were organized into 21 body system categories. There were seventeen cross-sectional studies and three retrospective cohort studies, and four diagnosis coding systems were used.

conclusionsWe found a wide range in reported prevalence, definition, and conduct of multimorbidity studies. Obtaining consensus in these areas will facilitate better understanding of the magnitude and epidemiology of multimorbidity.

Indexed as

MultimorbidityComorbidityCross-Sectional StudiesHumansPrevalenceRetrospective Studiesdefinitionlarge databasemultimorbidityprevalence

Identifiers

PMID33572441
PMCPMC7916224

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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.