Evidence map›Paper›PMID 34521111›Full record

ArticleAmerican journal of epidemiology2022

How Selection Over Time Contributes to the Inconsistency of the Association Between Sex/Gender and Cognitive Decline Across Cognitive Aging Cohorts.

Anaïs Rouanet, Justina Avila-Rieger, Aline Dugravot, Jérémie Lespinasse, Rachel Stuckwisch, Richard Merrick, Emma Anderson, Leann Long, Catherine Helmer, Hélène Jacqmin-Gadda and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in American journal of epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 15 citations in OpenAlex.

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  7. Childhood adversity and late-life cognitive and brain health in a diverse cohort.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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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

16 authors at 9 institutions in 3 countries.

Anaïs Rouanet
Justina Avila-Rieger
Aline Dugravot
Jérémie Lespinasse
Rachel Stuckwisch
Richard Merrick
Emma Anderson
Leann Long
Catherine Helmer
Hélène Jacqmin-Gadda
Carole Dufouil
Suzanne Judd
Jennifer Manly
Séverine Sabia
Alden Gross
Cécile Proust-Lima
Université de Bordeaux · FRUniversity of Alabama at Birmingham · USColumbia University · USBordeaux Population Health · FRCentre de Recherche Épidémiologie et StatistiqueJohns Hopkins University · USSorbonne Paris Cité · FRUniversity of Bristol · GBUniversity of Cambridge · GB

Funding

VCID and Stroke in a Bi-racial National CohortU01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CUSHMAN, MARY, HOWARD, GEORGE · 2002 to 2022
$96.0M
Long-term Effects of ACTIVE Cognitive Training on Everyday Functioning and Dementia-related Outcomes: Association of Race and Social Determinants of HealthR01AG056486 · NIA · UNIVERSITY OF WASHINGTON · PI REBOK, GEORGE W., WILLIS, SHERRY L · 2017 to 2020
$3.1M
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
Intersection of Physiologic Frailty and Cognitive Performance in Older Adults: An Integrative Data AnalysisK01AG050699 · NIA · JOHNS HOPKINS UNIVERSITY · PI GROSS, ALDEN L. · 2016 to 2020
$648k
Methods in Longitudinal Dementia (MELODEM) InitiativeR13AG064971 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Jennifer Weuve · 2019 to 2026
$400k
British Heart Foundation RG/16/11/32334Medical Research Council MR/P014437/1Medical Research Council MR/R024227/1Medical Research Council MR/S011676/1Medical Research Council R024227Medical Research Council S011676NIA NIH HHS K01 AG050699NIA NIH HHS R01 AG056477NIA NIH HHS R01 AG056486NIA NIH HHS R13 AG064971NIA NIH HHS RF1 AG062553NINDS NIH HHS U01 NS041588
6 · The paper itself

Abstract

The association between sex/gender and aging-related cognitive decline remains poorly understood because of inconsistencies in findings. Such heterogeneity could be attributable to the cognitive functions studied and study population characteristics, but also to differential selection by dropout and death between men and women. We aimed to evaluate the impact of selection by dropout and death on the association between sex/gender and cognitive decline. We first compared the statistical methods most frequently used for longitudinal data, targeting either population estimands (marginal models fitted by generalized estimating equations) or subject-specific estimands (mixed/joint models fitted by likelihood maximization) in 8 studies of aging: 6 population-based studies (the Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE) Study (1996-2009), Personnes Âgées QUID (PAQUID; 1988-2014), the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study (2003-2016), the Three-City Study (Bordeaux only; 1999-2016), the Washington Heights-Inwood Community Aging Project (WHICAP; 1992-2017), and the Whitehall II Study (2007-2016)) and 2 clinic-based studies (the Alzheimer's Disease Neuroimaging Initiative (ADNI; 2004-2017) and a nationwide French cohort study, MEMENTO (2011-2016)). We illustrate differences in the estimands of the association between sex/gender and cognitive decline in selected examples and highlight the critical role of differential selection by dropout and death. Using the same estimand, we then contrast the sex/gender-cognitive decline associations across cohorts and cognitive measures suggesting a residual differential sex/gender association depending on the targeted cognitive measure (memory or animal fluency) and the initial cohort selection. We recommend focusing on subject-specific estimands in the living population for assessing sex/gender differences while handling differential selection over time.

Indexed as

Cognitive AgingCognitive DysfunctionAgedAgingCognitionCohort StudiesFemaleHumansLongitudinal StudiesNeuropsychological TestsWhite Peopleaging cohortscognitiondeathdropoutlongitudinal modelsselectionsex/gender

Identifiers

PMID34521111
PMCPMC9214252
OpenAlexW3200815986

What OpenQuestion holds

Textmetadata
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.