Evidence map›Paper›PMID 28003375›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2017

Assessing and Measuring Chronic Multimorbidity in the Older Population: A Proposal for Its Operationalization.

Amaia Calderón-Larrañaga, Davide L Vetrano, Graziano Onder, Luis A Gimeno-Feliu, Carlos Coscollar-Santaliestra, Angelo Carfí, Maria S Pisciotta, Sara Angleman, René J F Melis, Giola Santoni and 7 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 265 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
265citing papers in PubMed, 9 pooled it
18.8field-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.

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

265 citing papers in PubMed, 9 syntheses or guidelines pooled it, 419 citations in OpenAlex.

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  14. Multimorbidity, Polypharmacy, and Neighborhood Disadvantage as Determinants of Cognitive Performance in the ARCHES Cohort.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2026
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205 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

17 authors at 5 institutions in 2 countries.

Amaia Calderón-LarrañagaAging Research Center, NVS Department, Karolinska Institutet, Stockholm University, Sweden.
Davide L VetranoAging Research Center, NVS Department, Karolinska Institutet, Stockholm University, Sweden.
Graziano OnderDepartment of Geriatrics, Neurosciences and Orthopedics, Catholic University of Rome, Italy.
Luis A Gimeno-FeliuEpiChron Research Group on Chronic Diseases, Aragon Health Sciences Institute (IACS), IIS Aragon, REDISSEC-ISCIII, Spain.
Carlos Coscollar-SantaliestraEpiChron Research Group on Chronic Diseases, Aragon Health Sciences Institute (IACS), IIS Aragon, REDISSEC-ISCIII, Spain.
Angelo CarfíDepartment of Geriatrics, Neurosciences and Orthopedics, Catholic University of Rome, Italy.
Maria S PisciottaDepartment of Geriatrics, Neurosciences and Orthopedics, Catholic University of Rome, Italy.
Sara AnglemanAging Research Center, NVS Department, Karolinska Institutet, Stockholm University, Sweden.
René J F MelisDepartment of Geriatric Medicine, Radboud Alzheimer Center, Radboud Institute for Health Sciences, Radboud University Medical Centre, The Netherlands.
Giola SantoniAging Research Center, NVS Department, Karolinska Institutet, Stockholm University, Sweden.
Francesca MangialascheAging Research Center, NVS Department, Karolinska Institutet, Stockholm University, Sweden.
Debora RizzutoAging Research Center, NVS Department, Karolinska Institutet, Stockholm University, Sweden.
Anna-Karin WelmerAging Research Center, NVS Department, Karolinska Institutet, Stockholm University, Sweden.
Roberto BernabeiDepartment of Geriatrics, Neurosciences and Orthopedics, Catholic University of Rome, Italy.
Alexandra Prados-TorresEpiChron Research Group on Chronic Diseases, Aragon Health Sciences Institute (IACS), IIS Aragon, REDISSEC-ISCIII, Spain.
Alessandra MarengoniAging Research Center, NVS Department, Karolinska Institutet, Stockholm University, Sweden.
Laura FratiglioniAging Research Center, NVS Department, Karolinska Institutet, Stockholm University, Sweden.
Stockholm University · SEUniversità Cattolica del Sacro Cuore · ITKarolinska Institutet · SEStockholm Gerontology Research Center Foundation · SEUniversity of Brescia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the definition of multimorbidity as "the simultaneous presence of two or more chronic diseases" is well established, its operationalization is not yet agreed. This study aims to provide a clinically driven comprehensive list of chronic conditions to be included when measuring multimorbidity.

methodsBased on a consensus definition of chronic disease, all four-digit level codes from the International Classification of Diseases, 10th revision (ICD-10) were classified as chronic or not by an international and multidisciplinary team. Chronic ICD-10 codes were subsequently grouped into broader categories according to clinical criteria. Last, we showed proof of concept by applying the classification to older adults from the Swedish National study of Aging and Care in Kungsholmen (SNAC-K) using also inpatient data from the Swedish National Patient Register.

resultsA disease or condition was considered to be chronic if it had a prolonged duration and either (a) left residual disability or worsening quality of life or (b) required a long period of care, treatment, or rehabilitation. After applying this definition in relation to populations of older adults, 918 chronic ICD-10 codes were identified and grouped into 60 chronic disease categories. In SNAC-K, 88.6% had ≥2 of these 60 disease categories, 73.2% had ≥3, and 55.8% had ≥4.

conclusionsThis operational measure of multimorbidity, which can be implemented using either or both clinical and administrative data, may facilitate its monitoring and international comparison. Once validated, it may enable the advancement and evolution of conceptual and theoretical aspects of multimorbidity that will eventually lead to better care.

Indexed as

AgedAged, 80 and overChronic DiseaseComorbidityFemaleHumansInternational Classification of DiseasesMaleMiddle AgedSwedenChronic diseaseEpidemiologyInternational Classification of Diseases

Identifiers

PMID28003375
PMCPMC5861938
OpenAlexW2567552487

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.