Evidence mapPaperPMID 41204115Full record

SynthesisBMC geriatrics2025

Variations in multimorbidity measurement in studies evaluating hospitalisation in older adults: a systematic review.

Erika Aparecida Silveira, Andréa Toledo de Oliveira Rezende, Luciana Pereira Rodrigues, Bruno Pereira Nunes, Sandro Rogério Rodrigues Batista, Cesar de Oliveira

Abstract readSystematic Review
In one paragraph

Synthesis in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Erika Aparecida SilveiraGraduate Program in Health Sciences, School of Medicine, Federal University of Goiás, Goiânia, 74605-050, Brazil. erikasil@terra.com.br.ORCID http://orcid.org/0000-0002-8839-4520
Andréa Toledo de Oliveira RezendeGraduate Program in Health Sciences, School of Medicine, Federal University of Goiás, Goiânia, 74605-050, Brazil.ORCID http://orcid.org/0000-0003-1639-6321
Luciana Pereira RodriguesGraduate Program in Health Sciences, School of Medicine, Federal University of Goiás, Goiânia, 74605-050, Brazil.ORCID http://orcid.org/0000-0002-6499-1451
Bruno Pereira NunesGraduate Nursing Program, School of Nursing, Federal University of Pelotas, Pelotas, Brazil.ORCID http://orcid.org/0000-0002-4496-4122
Sandro Rogério Rodrigues BatistaDepartment of Internal Medicine, School of Medicine, Federal University of Goiás, Goiânia, Brazil.ORCID http://orcid.org/0000-0001-7356-522X
Cesar de OliveiraDepartment of Epidemiology & Public Health, University College London, London, WC1E 6BT, UK. c.oliveira@ucl.ac.uk.ORCID http://orcid.org/0000-0002-4099-4762

Funding

Economic and Social Research Council ES/T008822/1
6 · The paper itself

Abstract

backgroundMultimorbidity is the coexistence of two or more chronic diseases, and in older adults is more common which can lead to increased rates of hospitalisation and health care. Therefore, this review aims to identify the variations in multimorbidity measurement in studies evaluating hospitalisation in older adults.

methodsA systematic review was conducted using a comprehensive database search in the PubMed, Embase, and Scopus databases, and included papers that used multimorbidity to evaluate hospitalisation in later life (PROSPERO register: CRD42021229328). Studies that employed multimorbidity measures with a simple count, weighted indices, Latent Class Analysis, Adjusted Clinical Groups System, Chronic Disease Score or Cumulative Index Illness Rating Scale were included. There was no restriction of language and year of publication of the studies included.

resultsThis review included 39 articles and was reported according to the PRISMA methodology. Analysing the variations in multimorbidity measurement related to hospitalisation in older adults we found a wide range of number of diseases, from 6 to 40, however, most of them utilised from 10 to 14 diseases. Regarding the data source, 56% of studies used self-reports, and 77% the disease count as a measure to assess multimorbidity.

conclusionsThis review revealed enormous heterogeneity in the number and type of diseases and diverse methodological criteria applied in studies that assessed multimorbidity associated with hospitalisation in older adults. Furthermore, the disease group most used in the studies was those of the circulatory system and the five diseases frequently included were diabetes, hypertension, cancer, stroke, and coronary heart disease.

trial registrationPROSPERO: CRD42021229328.

Indexed as

HospitalizationMultimorbidityAgedAged, 80 and overChronic DiseaseHumansHospitalisationMultimorbidityOlder adultsSystematic review

Identifiers

PMID41204115
PMCPMC12595891

What Socratic 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 Socratic graph.