Evidence map›Paper›PMID 35253747›Full record

Observational studyJournal of Alzheimer's disease : JAD2022

Dementia Risk Score for a Population in Southern Europe Calculated Using Competing Risk Models.

Oliver Ibarrondo, José María Huerta, Pilar Amiano, María Encarnación Andreu-Reinón, Olatz Mokoroa, Eva Ardanaz, Rosa Larumbe, Sandra M Colorado-Yohar, Fernando Navarro-Mateu, María Dolores Chirlaque and 1 more

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Journal of Alzheimer's disease : JAD, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
0.7field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
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

11 authors at 10 institutions in 2 countries.

Oliver IbarrondoResearch Unit, Debagoiena Integrated Healthcare Organisation, Basque Health Service (Osakidetza), Arrasate-Mondragón, Spain.
José María HuertaMurcia Biomedical Research Institute (IMIB-Arrixaca), Murcia, Spain.
Pilar AmianoEpidemiology and Public Health Area, Biodonostia Health Research Institute, San Sebastián, Spain.
María Encarnación Andreu-ReinónMurcia Biomedical Research Institute (IMIB-Arrixaca), Murcia, Spain.
Olatz MokoroaEpidemiology and Public Health Area, Biodonostia Health Research Institute, San Sebastián, Spain.
Eva ArdanazPublic Health Institute of Navarra, IdiSNA, Pamplona, Spain.
Rosa LarumbePublic Health Institute of Navarra, IdiSNA, Pamplona, Spain.
Sandra M Colorado-YoharMurcia Biomedical Research Institute (IMIB-Arrixaca), Murcia, Spain.
Fernando Navarro-MateuMurcia Biomedical Research Institute (IMIB-Arrixaca), Murcia, Spain.
María Dolores ChirlaqueMurcia Biomedical Research Institute (IMIB-Arrixaca), Murcia, Spain.
Javier MarResearch Unit, Debagoiena Integrated Healthcare Organisation, Basque Health Service (Osakidetza), Arrasate-Mondragón, Spain.
Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública · ESAssociation of Electronic and Information Technologies · ESBiogipuzkoa Health Research Institute · ESHospital Rafael Méndez · ESInstituto Murciano de Investigación Biosanitaria · ESMinistry of Health · ESNavarrabiomed · ESOsasun Sistemen Ikerketa Institutua · ESUniversidad de Murcia · ESUniversidad Publica de Navarra · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDementia prevention can be addressed if the intervention is applied early.

objectiveThe objective of this study was to develop and validate competing risk models to predict the late risk of dementia based on variables assessed in middle age in a southern European population.

methodsWe conducted a prospective observational study of the EPIC-Spain cohort that included 25,015 participants. Dementia cases were identified from electronic health records and validated by neurologists. Data were gathered on sociodemographic characteristics and cardiovascular risk factors. To stratify dementia risk, Fine and Gray competing risk prediction models were constructed for the entire sample and for over-55-year-olds. Risk scores were calculated for low (the 30% of the sample with the lowest risk), moderate (> 30% -60%), and high (> 60% -100%) risk.

resultsThe 755 cases of dementia identified represented a cumulative incidence of 3.1% throughout the study period. The AUC of the model for over-55-year-olds was much higher (80.8%) than the overall AUC (68.5%) in the first 15 years of follow-up and remained that way in the subsequent follow-up. The weight of the competing risk of death was greater than that of dementia and especially when the entire population was included.

conclusionThis study presents the first dementia risk score calculated in a southern European population in mid-life and followed up for 20 years. The score makes it feasible to achieve the early identification of individuals in a southern European population who could be targeted for the prevention of dementia based on the intensive control of risk factors.

Indexed as

DementiaEuropeHumansIncidenceRisk FactorsSpainAlzheimer’s diseasecompeting risksdementiapredictive modelspreventionrisk score

Identifiers

PMID35253747
PMCPMC9108562
OpenAlexW4214552034

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.