Evidence map›Paper›PMID 31721455›Full record

ArticleAnnals of clinical and translational neurology2019

Study partner-reported decline identifies cognitive decline and dementia risk.

Rachel L Nosheny, Chengshi Jin, John Neuhaus, Philip S Insel, Robert Scott Mackin, Michael W Weiner, Alzheimer’s Disease Neuroimaging Initiative investigators

Abstract read
In one paragraph

Article in Annals of clinical and translational neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Trial
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  5. Study partners' views on remuneration in longitudinal Alzheimer's disease research.Alzheimer's & dementia. Behavior & socioeconomics of aging · 2025
    Article
  6. Article
  7. Article
  8. Observational
  9. Article
  10. A short version of the Everyday Cognition scale can predict clinical progression and cognitive decline.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
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  18. Review
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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

7 authors.

Rachel L NoshenyDepartment of Psychiatry, University of California, San Francisco, San Francisco, California.ORCID 0000-0003-4995-8319
Chengshi JinDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California.
John NeuhausDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California.
Philip S InselSan Francisco Veteran's Administration Medical Center, San Francisco, California.ORCID 0000-0002-6270-5490
Robert Scott MackinDepartment of Psychiatry, University of California, San Francisco, San Francisco, California.
Michael W WeinerSan Francisco Veteran's Administration Medical Center, San Francisco, California.
Alzheimer’s Disease Neuroimaging Initiative investigators

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Implementation and validation of an online Caregiver and Study Partner Portal for assessment of cognitive function in older adultsK01AG055692 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI NOSHENY, RACHEL LAUREN · 2017 to 2021
$719k
AbbVieADNIAlzheimer's AssociationAlzheimer's Drug Discovery FoundationAraclon BiotechBioClinica, Inc.BiogenBristol-Myers Squibb CompanyCereSpir, Inc.Cogstate; Eisai Inc.Department of Defense W81XWH-12-2-0012Elan Pharmaceuticals, Inc.Eli Lilly and CompanyEuroImmunF. Hoffmann-La Roche LtdFujirebioGE HealthcareGenentech, Inc.IXICO Ltd.Janssen Alzheimer Immunotherapy Research & Development, LLC.Johnson & Johnson Pharmaceutical Research & Development LLC.LumosityLundbeck; Merck & Co. Inc.Meso Scale Diagnostics, LLC.NeuroRx ResearchNeurotrack TechnologiesNIA NIH HHS K01 AG055692NIA NIH HHS U01 AG024904NIBIB NIH HHSNovartis Pharmaceuticals CorporationPfizer Inc.Piramal ImagingServierTakeda Pharmaceutical CompanyThe Canadian Institutes of Health ResearchTransition Therapeutics
6 · The paper itself

Abstract

objectiveIdentifying individuals at risk for cognitive decline, Mild Cognitive Impairment (MCI), and dementia due to Alzheimer's disease (AD) is a critical need. Functional decline is associated with risk and can be efficiently assessed by participants and study partners (SPs). We tested the hypothesis that SP-reported functional decline is an independent predictor of dementia risk and cognitive decline.

methodsIn 1048 older adults in the Alzheimer's Disease Neuroimaging Initiative (ADNI), we measured associations between Everyday Cognition Scale scores (ECog, self- and SP-reported versions) and (1) baseline and longitudinal change in neuropsychological test (NPT scores) across multiple cognitive domains; (2) diagnostic conversion to MCI or dementia. Models included Mini Mental Status Exam (MMSE) score and ApoE ε4 genotype (APOE) as predictors. Model fits were compared with and without predictors of interest included.

resultsSP-reported ECog was the strongest predictor of cognitive decline across multiple domains, as well as diagnostic conversion. Self-reported ECog was associated with baseline NPT scores in some cognitive domains, and diagnostic conversion to MCI in participants with biomarker evidence for AD (elevated brain β-amyloid, Aβ). Models including SP-reported ECog were significantly stronger at predicting outcomes.

conclusionsSP-reported functional decline is an independent indicator of cognitive decline and dementia risk, even when accounting for cognitive screening, genetic risk, demographics, and self-report decline. The results provide a rationale for greater utilization of SP-reported functional decline to identify those at risk for dementia due to AD and other causes.

Indexed as

Disease ProgressionAgedAged, 80 and overAlzheimer DiseaseCognitive DysfunctionFemaleHumansLongitudinal StudiesMaleMiddle AgedNeuropsychological TestsRisk

Identifiers

PMID31721455
PMCPMC6917311

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.