Evidence map›Paper›PMID 30386821›Full record

ArticleAlzheimer's & dementia (New York, N. Y.)2018

Online study partner-reported cognitive decline in the Brain Health Registry.

Rachel L Nosheny, Monica R Camacho, Philip S Insel, Derek Flenniken, Juliet Fockler, Diana Truran, Shannon Finley, Aaron Ulbricht, Paul Maruff, Kristine Yaffe and 2 more

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's & dementia (New York, N. Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

35 citing papers in PubMed, 46 citations in OpenAlex.

  1. Trial
  2. Article
  3. Observational
  4. Article
  5. The ADNI Administrative Core: Ensuring ADNI's success and informing future AD clinical trials.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  6. Article
  7. Article
  8. Brain Health Registry Study Partner Portal: Novel infrastructure for digital, dyadic data collection.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  9. Article
  10. Article
  11. Brain health registry updates: An online longitudinal neuroscience platform.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Validity of Online Versus In-Clinic Self-Reported Everyday Cognition Scale.The journal of prevention of Alzheimer's disease · 2022
    Article
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

12 authors at 3 institutions in 2 countries.

Rachel L NoshenyUCSF Department of Psychiatry, San Francisco, CA, USA.
Monica R CamachoSan Francisco Veteran's Administration Medical Center, San Francisco, CA, USA.
Philip S InselSan Francisco Veteran's Administration Medical Center, San Francisco, CA, USA.
Derek FlennikenSan Francisco Veteran's Administration Medical Center, San Francisco, CA, USA.
Juliet FocklerSan Francisco Veteran's Administration Medical Center, San Francisco, CA, USA.
Diana TruranSan Francisco Veteran's Administration Medical Center, San Francisco, CA, USA.
Shannon FinleySan Francisco Veteran's Administration Medical Center, San Francisco, CA, USA.
Aaron UlbrichtSan Francisco Veteran's Administration Medical Center, San Francisco, CA, USA.
Paul MaruffCogstate, Ltd., Melbourne, Australia.
Kristine YaffeUCSF Department of Psychiatry, San Francisco, CA, USA.
R Scott MackinUCSF Department of Psychiatry, San Francisco, CA, USA.
Michael W WeinerUCSF Department of Psychiatry, San Francisco, CA, USA.
San Francisco VA Medical Center · USUniversity of California, San Francisco · USProstate Cancer Foundation of Australia · AU

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
NIA NIH HHS K01 AG055692NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

introductionMethods for efficiently identifying cognitive decline and Alzheimer's disease (AD) are a critical unmet need. The goal of this work was to validate novel online study partner (SP)-reported outcomes to identify cognitive decline in older adults.

methodsIn older adults enrolled in the Brain Health Registry, we analyzed associations between SP-reported cognitive decline, measured by the Everyday Cognition Scale, and either (1) participant cognition, assessed by Cogstate Brief Battery or (2) participant-reported diagnosis of mild cognitive impairment or AD.

resultsWe found strong associations between SP-reported Everyday Cognition Scale and both Cogstate scores and participant diagnosis. The associations were cognitive domain specific, dependant on participant diagnosis, and were stronger in spouse dyads and those who knew each other longer. DISCUSSION: Collecting SP-reported data online from a large cohort is feasible. Results support the construct validity of our approach, which has the potential to facilitate clinical AD and aging research.

Indexed as

Activities of daily livingAlzheimer's diseaseBrain Health RegistryCognitive declineCognitive neuropsychology in dementiaInformant-reported outcomesMild cognitive impairmentNeuropsychological testsOnline registryStudy partner-reported outcomes

Identifiers

PMID30386821
PMCPMC6205111
OpenAlexW2896711869

What OpenQuestion holds

Textmetadata
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.