Evidence map›Paper›PMID 36336936›Full record

ArticleJournal of Alzheimer's disease : JAD2022

The Brain Health Platform: Combining Resilience, Vulnerability, and Performance to Assess Brain Health and Risk of Alzheimer's Disease and Related Disorders.

Michael J Kleiman, Lun-Ching Chang, James E Galvin

Open access · greenAbstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. AI-enabled resilience modeling for brain health.Frontiers in molecular medicine · 2025
    Review
  4. What is brain health?Cerebral circulation - cognition and behavior · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. 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

3 authors at 2 institutions in 1 country.

Michael J KleimanComprehensive Center for Brain Health, Department of Neurology, University of Miami Miller School of Medicine, Boca Raton, FL, USA.
Lun-Ching ChangDepartment of Mathematical Sciences, Florida Atlantic University, Boca Raton, FL, USA.
James E GalvinComprehensive Center for Brain Health, Department of Neurology, University of Miami Miller School of Medicine, Boca Raton, FL, USA.
University of Miami · USFlorida Atlantic University · US

Funding

Research Methods CoreP01AG066584 · NIA · WASHINGTON STATE UNIVERSITY · PI KA'IMI ALOHILANI SINCLAIR · 2021 to 2026
$17.4M
Multicultural Community Dementia ScreeningR01AG071514 · NIA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI GALVIN, JAMES E · 2021 to 2025
$13.8M
Alzheimer's Disease and Related Dementias (ADRD) prevalence in American SamoaRF1AG075904 · NIA · AMERICAN SAMOA COMMUNITY CANCER COALITIO · PI GALVIN, JAMES E, TOFAEONO, VAATAUSILI T · 2022 to 2025
$10.3M
Reducing Disparities in Dementia and VCID Outcomes in a Multicultural Rural PopulationR01NS101483 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI GALVIN, JAMES E · 2019 to 2023
$8.0M
Digital Detection of Dementia Studies (D cubed Studies).R01AG069765 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI BEN-MILED, ZINA, BOUSTANI, MALAZ · 2020 to 2024
$4.9M
Multicultural Community Dementia Screening.R01AG040211 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GALVIN, JAMES E · 2011 to 2018
$3.2M
NIA NIH HHS P01 AG066584NIA NIH HHS R01 AG040211NIA NIH HHS R01 AG069765NIA NIH HHS R01 AG071514NIA NIH HHS RF1 AG075904NINDS NIH HHS R01 NS101483
6 · The paper itself

Abstract

backgroundIt is difficult to assess brain health status and risk of cognitive impairment, particularly at the initial evaluation. To address this, we developed the Brain Health Platform to quantify brain health and identify Alzheimer's disease and related disorders (ADRD) risk factors by combining a measure of brain health: the Resilience Index (RI), a measure of risk of ADRD; the Vulnerability Index (VI); and the Number-Symbol Coding Task (NSCT), a measure of brain performance.

objectiveThe Brain Health Platform is intended to be easily and quickly administered, providing an overview of a patient's risk of developing future impairment based on modifiable and non-modifiable factors as well as current cognitive performance.

methodsThis cross-sectional study comprehensively evaluated 230 participants (71 controls, 71 mild cognitive impairment, 88 ADRD). VI and RI scores were derived from physical assessments, lifestyle questionnaires, demographics, medical history, and neuropsychological examination including the NSCT.

resultsIndividuals with abnormal scores were 95.7% likely to be impaired, with a misclassification rate of 9.7%. The combined model had excellent discrimination (AUC:0.923±0.053; p < 0.001), performing better than the Montreal Cognitive Assessment.

conclusionThe Brain Health Platform combines measures of resilience, vulnerability, and performance to provide a cross-sectional snapshot of overall brain health. The Brain Health Platform can effectively and accurately identify even the very mildest impairments due to ADRD, leveraging brief yet powerful and actionable indices of brain health and risk that could be used to develop personalized, precision medicine-like interventions.

Indexed as

Alzheimer DiseaseCognitive DysfunctionDementiaBrainCross-Sectional StudiesHumansNeuropsychological TestsAlzheimer’s diseasebrain healthcognitive assessmentdementiadementia with Lewy bodiesmild cognitive impairmentresiliencescreeningvascular cognitive impairmentvulnerability

Identifiers

PMID36336936
PMCPMC10515193
OpenAlexW4308008387

What OpenQuestion holds

Textmetadata
LicenceTDM
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.