Evidence map›Paper›PMID 31627738›Full record

ArticleAlzheimer's research & therapy2019

Participant and study partner prediction and identification of cognitive impairment in preclinical Alzheimer's disease: study partner vs. participant accuracy.

Mary M Ryan, Joshua D Grill, Daniel L Gillen, Alzheimer’s Disease Neuroimaging Initiative

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's research & therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed, 21 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Study partners' views on remuneration in longitudinal Alzheimer's disease research.Alzheimer's & dementia. Behavior & socioeconomics of aging · 2025
    Article
  6. Article
  7. Study partner characteristics moderate the prediction of cognitive decline in aging.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  8. Observational
  9. 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
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Empirically defining the preclinical stages of the Alzheimer's continuum in the Alzheimer's Disease Neuroimaging Initiative.Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. 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

4 authors at 1 institution in 1 country.

Mary M RyanDepartment of Statistics, University of California, Irvine, Irvine, CA, 92697, USA. marymr@uci.edu.
Joshua D GrillInstitute for Memory Impairments and Neurological Disorders, University of California, Irvine, 92697, CA, USA. jgrill@uci.edu.ORCID 0000-0002-4215-7589
Daniel L GillenDepartment of Statistics, University of California, Irvine, Irvine, CA, 92697, USA. dgillen@uci.edu.
Alzheimer’s Disease Neuroimaging Initiative
University of California, Irvine · US

Funding

UC Irvine Alzheimer's Disease Research Center Induced Pluripotent Stem Cell CoreP50AG016573 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI LAFERLA, FRANK M · 2000 to 2019
$37.0M
University of California Health Participation in the National COVID Cohort Collaborative (N3C)UL1TR001414 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, VILAIN, ERIC J. · 2015 to 2023
$35.1M
Neuroimaging biomarkers for cognitive decline in elderly with amyloid pathologyR01AG053555 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI Michael A Yassa · 2017 to 2026
$17.0M
Institute for Clinical and Translational ScienceUL1TR000153 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M · 2012 to 2015
$12.1M
Training in the Neurobiology of Aging and Alzheimers DiseaseT32AG000096 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI VIVEK SWARUP, Craig E Stark · 1985 to 2026
$9.6M
Effects of Alzheimers Disease Clinical Trial Study Partners-Diversity SupplementRF1AG059407 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI GILLEN, DANIEL L, GRILL, JOSHUA · 2018 to 2019
$1.6M
The study partner requirement in preclinical Alzheimers disease trialsR21AG056931 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI GILLEN, DANIEL L, GRILL, JOSHUA · 2017 to 2018
$406k
NCATS NIH HHS UL1 TR000153NCATS NIH HHS UL1 TR001414NIA NIH HHS 1R21AG056931NIA NIH HHS AG000096NIA NIH HHS AG016573NIA NIH HHS AG059407NIA NIH HHS P50 AG016573NIA NIH HHS R01 AG053555NIA NIH HHS R21 AG056931NIA NIH HHS RF1 AG059407NIA NIH HHS T32 AG000096NIH HHS UL1 TR000153
6 · The paper itself

Abstract

backgroundPreclinical Alzheimer's disease (AD) clinical trials require participants to enroll with a study partner, a person who can attend visits and report changes in the participant's cognitive ability. Whether study partners, compared to participants themselves, provide added information about participant cognition in preclinical AD trials is an open question. We tested the hypothesis that study partners provide meaningful information related to participant cognition cross-sectionally and longitudinally, and assessed whether amyloid status modified observed effects.

methodsWe assessed participant and study partner Everyday Cognition (ECog) scores and participant Alzheimer's Disease Assessment Scale 13-item cognitive subscale (ADAS13) data from 335 cognitively normal participant-partner dyads in the AD Neuroimaging Initiative. We used random forest and linear mixed effects (LME) models to predict ADAS13 scores as a function of participant and/or study partner ECog scores over time. LME models were adjusted for potential confounding factors, including APOE4 status, amyloid status, baseline age, years of education, and sex. Random forest models were split into the above factors, as well as race/ethnicity and other available neuropsychological battery test scores.

resultsIn random forest models predicting ADAS13 12 months from baseline, we observed no difference in the estimated mean variable importance (eMVI) associated with baseline study partner ECog compared to the baseline participant ECog (eMVI = 0.15, 95%CB 0.13, 0.16 for partner; eMVI = 0.15, 95%CB 0.14, 0.16 for participant). In models predicting ADAS13 48 months after baseline, the eMVI associated with baseline study partner ECog was slightly lower than that associated with baseline participant ECog (eMVI = 0.21, 95%CB 0.20, 0.22 for partner; eMVI = 0.24, 95%CB 0.22, 0.25 for participant). In cross-sectional models, study partner eMVI was twice as large as participant eMVI at 12 months (eMVI = 0.20, 95%CB 0.19, 0.21 for partner; eMVI = 0.09, 95%CB 0.09, 0.10 for participant) and three times as large at 48 months (eMVI = 0.38, 95%CB 0.36, 0.39 for partner; eMVI = 0.13, 95%CB 0.12, 0.14 for participant). We did not observe qualitative differences by amyloid status.

conclusionsWhile baseline participant reports reasonably predict subsequent cognitive change, informants perform better at cross-sectionally recognizing cognitive status as observation time grows. The study partner requirement may be essential to ensure trial data integrity, especially in longer trials.

Indexed as

AgedAged, 80 and overAlzheimer DiseaseCognitionCognitive DysfunctionCross-Sectional StudiesDisease ProgressionFemaleHumansMaleNeuropsychological TestsProdromal SymptomsADNIAlzheimer’s diseasepreclinicalStudy partner

Identifiers

PMID31627738
PMCPMC6800492
OpenAlexW2980962933

What OpenQuestion holds

Textmetadata
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.