Evidence map›Paper›PMID 36011814›Full record

ArticleInternational journal of environmental research and public health2022

Multimorbidity Clusters in the Oldest Old: Results from the EpiChron Cohort.

Ignatios Ioakeim-Skoufa, Mercedes Clerencia-Sierra, Aida Moreno-Juste, Carmen Elías de Molins Peña, Beatriz Poblador-Plou, Mercedes Aza-Pascual-Salcedo, Francisca González-Rubio, Alexandra Prados-Torres, Antonio Gimeno-Miguel

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 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 3 institutions in 2 countries.

Ignatios Ioakeim-SkoufaWHO Collaborating Centre for Drug Statistics Methodology, Department of Drug Statistics, Division of Health Data and Digitalisation, Norwegian Institute of Public Health, NO-0213 Oslo, Norway.ORCID 0000-0002-6518-749X
Mercedes Clerencia-SierraEpiChron Research Group, Aragon Health Sciences Institute (IACS), IIS Aragón, Miguel Servet University Hospital, ES-50009 Zaragoza, Spain.
Aida Moreno-JusteEpiChron Research Group, Aragon Health Sciences Institute (IACS), IIS Aragón, Miguel Servet University Hospital, ES-50009 Zaragoza, Spain.ORCID 0000-0002-8819-3278
Carmen Elías de Molins PeñaAragon Health Service (SALUD), Miguel Servet University Hospital, ES-50009 Zaragoza, Spain.
Beatriz Poblador-PlouEpiChron Research Group, Aragon Health Sciences Institute (IACS), IIS Aragón, Miguel Servet University Hospital, ES-50009 Zaragoza, Spain.ORCID 0000-0002-5119-5093
Mercedes Aza-Pascual-SalcedoEpiChron Research Group, Aragon Health Sciences Institute (IACS), IIS Aragón, Miguel Servet University Hospital, ES-50009 Zaragoza, Spain.ORCID 0000-0002-8937-5559
Francisca González-RubioEpiChron Research Group, Aragon Health Sciences Institute (IACS), IIS Aragón, Miguel Servet University Hospital, ES-50009 Zaragoza, Spain.
Alexandra Prados-TorresEpiChron Research Group, Aragon Health Sciences Institute (IACS), IIS Aragón, Miguel Servet University Hospital, ES-50009 Zaragoza, Spain.ORCID 0000-0002-5704-6056
Antonio Gimeno-MiguelEpiChron Research Group, Aragon Health Sciences Institute (IACS), IIS Aragón, Miguel Servet University Hospital, ES-50009 Zaragoza, Spain.ORCID 0000-0002-5440-1710
Instituto de Salud Carlos III · ESNorwegian Institute of Public Health · NOServicio Aragonés de Salud · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multimorbidity is challenging for both patients and healthcare systems due to its increasing prevalence and high impact on people's health and well-being. The risk of multimorbidity increases with age, but there is still more to discover regarding the clinical profile of the oldest old. In this study, we used information from the EpiChron Cohort Study to identify multimorbidity patterns in individuals who died during the period 2010-2019 at the ages of 80-89, 90-99, and ≥100. This cohort links the demographic, clinical, and drug dispensation information of public health system users in Aragón, Spain. We saw a significantly lower number of chronic diseases and drugs and a lower prevalence of polypharmacy in centenarians compared to those aged 80-99. K-means clustering revealed different multimorbidity clusters by sex and age group. We observed clusters of cardiovascular and metabolic diseases, obstructive pulmonary conditions, and neoplasms, amongst other profiles. One in three octogenarian women had a metabolic pattern (diabetes, dyslipidaemia, and other endocrine-metabolic disorders) with the highest number of diseases (up to seven) and prevalence of polypharmacy (64%). We observed clusters of dementia and genitourinary disorders in individuals on medication with anticholinergic activity. Our study offers an opportunity to better understand the urgency of adequately addressing multimorbidity in our older adults.

Indexed as

Metabolic DiseasesMultimorbidityAgedAged, 80 and overChronic DiseaseCohort StudiesCross-Sectional StudiesFemaleHumansPolypharmacyPrevalenceagedclusterclusteringelectronic health recordsepidemiologymultimorbiditymultiple chronic conditionsnoncommunicable diseasespublic healthroutinely collected health data

Identifiers

PMID36011814
PMCPMC9408216
OpenAlexW4292261757

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.