Evidence map›Paper›PMID 34308533›Full record

ArticleEuropean journal of epidemiology2021

Dementia risk in the general population: large-scale external validation of prediction models in the AGES-Reykjavik study.

Jet M J Vonk, Jacoba P Greving, Vilmundur Gudnason, Lenore J Launer, Mirjam I Geerlings

Abstract read
In one paragraph

Article in European journal of epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

5 authors.

Jet M J VonkDepartment of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Stratenum 6.131, PO BOX 85500, 3508, GA, Utrecht, The Netherlands. j.m.j.vonk-3@umcutrecht.nl.ORCID http://orcid.org/0000-0002-1808-8843
Jacoba P GrevingDepartment of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Stratenum 6.131, PO BOX 85500, 3508, GA, Utrecht, The Netherlands.
Vilmundur GudnasonIcelandic Heart Association, Kopavogur, Iceland.
Lenore J LaunerLaboratory of Epidemiology and Population Sciences, Demography and Biometry, National Institute On Aging, National Institutes of Health, Gateway Building, Suite 3C-309, 7201 Wisconsin Ave., Bethesda, MD, 20892, USA. launerl@nia.nih.gov.
Mirjam I GeerlingsDepartment of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Stratenum 6.131, PO BOX 85500, 3508, GA, Utrecht, The Netherlands.

Funding

AGES STUDY-THE REYKJAVIK STUDY OF HEALTHY AGING FOR THE NEW MILLENNIUM-26012100N01AG012100 · NIA · ICELANDIC HEART ASSOCIATION · 2002 to 2004
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Alzheimer Nederland WE.03-2017-06Alzheimer Nederland WE.15-2018-05NIA NIH HHS N01 AG012100NIA NIH HHS N01-AG-12100ZonMw 09150161810017
6 · The paper itself

Abstract

We aimed to evaluate the external performance of prediction models for all-cause dementia or AD in the general population, which can aid selection of high-risk individuals for clinical trials and prevention. We identified 17 out of 36 eligible published prognostic models for external validation in the population-based AGES-Reykjavik Study. Predictive performance was assessed with c statistics and calibration plots. All five models with a c statistic > .75 (.76-.81) contained cognitive testing as a predictor, while all models with lower c statistics (.67-.75) did not. Calibration ranged from good to poor across all models, including systematic risk overestimation or overestimation for particularly the highest risk group. Models that overestimate risk may be acceptable for exclusion purposes, but lack the ability to accurately identify individuals at higher dementia risk. Both updating existing models or developing new models aimed at identifying high-risk individuals, as well as more external validation studies of dementia prediction models are warranted.

Indexed as

DementiaFemaleHumansMaleNetherlandsPopulation SurveillancePredictive Value of TestsReproducibility of ResultsRisk AssessmentRisk FactorsAlzheimer’s diseaseDementiaPrognosisValidation

Identifiers

PMID34308533
PMCPMC8542560

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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.