Evidence map›Paper›PMID 39773247›Full record

ArticleAlzheimer's research & therapy2025

Subjective cognitive decline predicts longitudinal neuropsychological test performance in an unsupervised online setting in the Brain Health Registry.

Jae Myeong Kang, Manchumad Manjavong, Chengshi Jin, Adam Diaz, Miriam T Ashford, Joseph Eichenbaum, Emily Thorp, Elizabeth Wragg, Kenton H Zavitz, Francesca Cormack and 9 more

Abstract read
In one paragraph

Article in Alzheimer's research & therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

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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

19 authors.

Jae Myeong KangDepartment of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA, USA.
Manchumad ManjavongDepartment of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA, USA.
Chengshi JinDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Adam DiazVA Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, CA, USA.
Miriam T AshfordVA Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, CA, USA.
Joseph EichenbaumVA Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, CA, USA.
Emily ThorpCambridge Cognition, Cambridge, UK.
Elizabeth WraggCambridge Cognition, Cambridge, UK.
Kenton H ZavitzCambridge Cognition, Cambridge, MA, USA.
Francesca CormackCambridge Cognition, Cambridge, UK.
Anna AaronsonVA Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, CA, USA.
R Scott MackinDepartment of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA, USA.
Rachana TankDementia Research Centre, UCL Institute of Neurology, University College London, London, WC1E 6BT, UK.
Bernard LandavazoVA Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, CA, USA.
Erika CavalloneVA Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, CA, USA.
Diana TruranVA Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, CA, USA.
Sarah Tomaszewski FariasDepartments of Neurology, University of California Davis, Sacramento, CA, USA.
Michael W WeinerVA Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, CA, USA.
Rachel L NoshenyDepartment of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA, USA. Rachel.nosheny@ucsf.edu.

Funding

UC Davis Alzheimer's Disease Research CenterP30AG072972 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Charles DeCarli, Rachel A Whitmer · 2021 to 2026
$25.2M
The Brain Health Registry for facilitating interdisciplinary aging researchR33AG062867 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI NOSHENY, RACHEL LAUREN · 2020 to 2024
$3.2M
Gachon University GCU- 202309190001NIA NIH HHS P30 AG072972NIA NIH HHS R33 AG062867
6 · The paper itself

Abstract

backgroundsDigital, online assessments are efficient means to detect early cognitive decline, but few studies have investigated the relationship between remotely collected subjective cognitive change and cognitive decline. We hypothesized that the Everyday Cognition Scale (ECog), a subjective change measure, predicts longitudinal change in cognition in the Brain Health Registry (BHR), an online registry for neuroscience research.

methodsThis study included BHR participants aged 55 + who completed both the baseline ECog and repeated administrations of the CANTAB

resultsParticipants (n = 16,683) had an average age of 69.07 ± 7.34, 72.04% were female, and had an average of 16.66 ± 2.26 years of education. They were followed for an average of 2.52 ± 1.63 visits over a period of 11.49 ± 11.53 months. Both Self-ECog positive (estimate = -0.01, p < 0.001, R²m = 0.56) and Self-ECog consistent (estimate=-0.01, p = 0.002, R²m = 0.56) were associated with longitudinal change in PAL FAMS after adjusting demographics and clinical confounders. Those who were Self-ECog total (Odds ratio [95% confidence interval] = 1.390 [1.121-1.708]) and SP-ECog consistent (2.417 [1.591-3.655]) had higher probability of being decliners based on PAL FAMS.

conclusionIn the BHR's unsupervised online setting, baseline subjective change was feasible in predicting longitudinal decline in neuropsychological tests. Online, self-administered measures of subjective cognitive change might have a potential to predict objective subjective change and identify individuals with cognitive impairments.

Indexed as

Cognitive DysfunctionNeuropsychological TestsRegistriesAgedAged, 80 and overFemaleHumansLongitudinal StudiesMaleMiddle AgedSelf ReportBrain health registryDigital cognitive assessmentEveryday cognition scalePaired associates learningSubjective cognitive decline

Identifiers

PMID39773247
PMCPMC11706033

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.