Evidence map›Paper›PMID 34240063›Full record

ArticleThe lancet. Healthy longevity2021

Comparison of the predictive accuracy of multiple definitions of cognitive impairment for incident dementia: a 20-year follow-up of the Whitehall II cohort study.

Marcos D Machado-Fragua, Aline Dugravot, Julien Dumurgier, Mika Kivimaki, Andrew Sommerlad, Benjamin Landré, Aurore Fayosse, Séverine Sabia, Archana Singh-Manoux

Open access · goldAbstract read
In one paragraph

Article in The lancet. Healthy longevity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 44% 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.

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 3 countries.

Marcos D Machado-FraguaUniversité de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France.
Aline DugravotUniversité de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France.
Julien DumurgierUniversité de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France.
Mika KivimakiDepartment of Epidemiology and Public Health, University College London, London, UK.
Andrew SommerladDivision of Psychiatry, University College London, London, UK.
Benjamin LandréUniversité de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France.
Aurore FayosseUniversité de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France.
Séverine SabiaUniversité de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France.
Archana Singh-ManouxUniversité de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France.
Inserm · FRCentre de Recherche Épidémiologie et StatistiqueUniversity College London · GBUniversity of Helsinki · FI

Funding

Education, socioeconomic status and Aging: transitions from multimorbidity to functional limitations and mortalityR01AG056477 · NIA · UNIVERSITY COLLEGE LONDON · PI KIVIMAKI, MIKA J, SINGH-MANOUX, ARCHANA · 2018 to 2022
$2.8M
Role of mid- and late-life risk factors in social inequalities in Alzheimer's Disease and Related DementiasRF1AG062553 · NIA · INSERM PARIS 5 · PI KIVIMAKI, MIKA J, SINGH-MANOUX, ARCHANA · 2019 to 2019
$1.5M
British Heart Foundation RG/16/11/32334Medical Research Council MR/R024227/1Medical Research Council MR/S011676/1NIA NIH HHS R01 AG056477NIA NIH HHS RF1 AG062553Wellcome TrustWellcome Trust 204841/Z/16/Z
6 · The paper itself

Abstract

backgroundStudies generally use cognitive assessment done at one timepoint to define cognitive impairment in order to examine conversion to dementia. Our objective was to examine the predictive accuracy and conversion rate of seven alternate definitions of cognitive impairment for dementia.

methodsIn this prospective study, we included participants from the Whitehall II cohort study who were assessed for cognitive impairment in 2007-09 and were followed up for clinically diagnosed dementia. Algorithms based on poor cognitive performance (defined using age-specific and sex-specific thresholds, and subsequently thresholds by education or occupation levels) and objective cognitive decline (using data from cognitive assessments in 1997-99, 2002-04, and 2007-09) were used to generate seven alternate definitions of cognitive impairment. We compared predictive accuracy using Royston's

findings5687 participants, with a mean age of 65·7 years (SD 5·9) in 2007-09, were included and followed up for a median of 10·5 years (IQR 10·1-10·9). Over follow-up, 270 (4·7%) participants were clinically diagnosed with dementia. Cognitive impairment defined using both cognitive performance and decline had higher hazard ratios (from 5·08 [95% CI 3·82-6·76] to 5·48 [4·13-7·26]) for dementia than did definitions based on cognitive performance alone (from 3·25 [2·52-4·17] to 3·39 [2·64-4·36]) and cognitive decline alone (3·01 [2·37-3·82]). However, all definitions had poor predictive performance (C-statistic ranged from 0·591 [0·565-0·616] to 0·631 [0·601-0·660]), primarily due to low sensitivity (21·6-48·4%). A predictive model containing age, sex, and education without measures of cognitive impairment had better predictive performance (C-statistic 0·783 [0·758-0·809], sensitivity 74·2%, specificity 72·2%) than all seven definitions of cognitive impairment (all p<0·0001).

interpretationThese findings suggest that cognitive impairment in early old age might not be useful for dementia prediction, even when it is defined using longitudinal data on cognitive decline and thresholds of poor cognitive performance additionally defined by education or occupation.

fundingNational Institutes of Health, UK Medical Research Council.

Indexed as

Cognitive DysfunctionDementiaAgedCohort StudiesFemaleFollow-Up StudiesHumansMaleProspective StudiesUnited States

Identifiers

PMID34240063
PMCPMC8245324
OpenAlexW3168676973

What OpenQuestion holds

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LicenceCC BY
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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.