Evidence map›Paper›PMID 26954365›Full record

SynthesisScandinavian journal of primary health care2016

The role of diseases, risk factors and symptoms in the definition of multimorbidity - a systematic review.

Tora Grauers Willadsen, Anna Bebe, Rasmus Køster-Rasmussen, Dorte Ejg Jarbøl, Ann Dorrit Guassora, Frans Boch Waldorff, Susanne Reventlow, Niels de Fine Olivarius

Abstract readSystematic Review
In one paragraph

Synthesis in Scandinavian journal of primary health care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
118citing papers in PubMed, 6 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

118 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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58 more citing papers are in PubMed but not listed here.

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

8 authors.

Tora Grauers Willadsena The Research Unit for General Practice and Department of General Practice , Department of Public Health, University of Copenhagen , Copenhagen , Denmark ;
Anna Bebea The Research Unit for General Practice and Department of General Practice , Department of Public Health, University of Copenhagen , Copenhagen , Denmark ;
Rasmus Køster-Rasmussena The Research Unit for General Practice and Department of General Practice , Department of Public Health, University of Copenhagen , Copenhagen , Denmark ;
Dorte Ejg Jarbølc The Research Unit of General Practice, Department of Public Health , University of Southern Denmark , Odense , Denmark.
Ann Dorrit Guassoraa The Research Unit for General Practice and Department of General Practice , Department of Public Health, University of Copenhagen , Copenhagen , Denmark ;
Frans Boch Waldorffa The Research Unit for General Practice and Department of General Practice , Department of Public Health, University of Copenhagen , Copenhagen , Denmark ;
Susanne Reventlowa The Research Unit for General Practice and Department of General Practice , Department of Public Health, University of Copenhagen , Copenhagen , Denmark ;
Niels de Fine Olivariusa The Research Unit for General Practice and Department of General Practice , Department of Public Health, University of Copenhagen , Copenhagen , Denmark ;

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledObjective is to explore how multimorbidity is defined in the scientific literature, with a focus on the roles of diseases, risk factors, and symptoms in the definitions.

designSystematic review.

methodsMEDLINE (PubMed), Embase, and The Cochrane Library were searched for relevant publications up until October 2013. One author extracted the information. Ambiguities were resolved, and consensus reached with one co-author. Outcome measures were: cut-off point for the number of conditions included in the definitions of multimorbidity; setting; data sources; number, kind, duration, and severity of diagnoses, risk factors, and symptoms. We reviewed 163 articles. In 61 articles (37%), the cut-off point for multimorbidity was two or more conditions (diseases, risk factors, or symptoms). The most frequently used setting was the general population (68 articles, 42%), and primary care (41 articles, 25%). Sources of data were primarily self-reports (56 articles, 42%). Out of the 163 articles selected, 115 had individually constructed multimorbidity definitions, and in these articles diseases occurred in all definitions, with diabetes as the most frequent. Risk factors occurred in 98 (85%) and symptoms in 71 (62%) of the definitions. The severity of conditions was used in 26 (23%) of the definitions, but in different ways. The definition of multimorbidity is heterogeneous and risk factors are more often included than symptoms. The severity of conditions is seldom included. Since the number of people living with multimorbidity is increasing there is a need to develop a concept of multimorbidity that is more useful in daily clinical work. Key points The increasing number of multimorbidity patients challenges the healthcare system. The concept of multimorbidity needs further discussion in order to be implemented in daily clinical practice. Many definitions of multimorbidity exist and most often a cut-off point of two or more is applied to a range of 4-147 different conditions. Diseases are included in all definitions of multimorbidity. Risk factors are often included in existing definitions, whereas symptoms and the severity of the conditions are less frequently included.

Indexed as

Chronic DiseaseComorbidityTerminology as TopicDiagnosisHumansRisk FactorsDefinitionDenmarkdiseasesgeneral practicemultimorbidityprimary carerisk factorssymptoms

Identifiers

PMID26954365
PMCPMC4977932

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.