Evidence map›Paper›PMID 34864658›Full record

ArticleJournal of Alzheimer's disease : JAD2022

Diagnosing Mild Cognitive Impairment Among Racially Diverse Older Adults: Comparison of Consensus, Actuarial, and Statistical Methods.

Kathryn N Devlin, Laura Brennan, Laura Saad, Tania Giovannetti, Roy H Hamilton, David A Wolk, Sharon X Xie, Dawn Mechanic-Hamilton

Open access · greenAbstract readComparative Study
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 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 24% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
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  4. Neuropsychiatric symptom phenotypes for early detection of risk in older adults.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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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

8 authors at 5 institutions in 1 country.

Kathryn N DevlinDepartment of Psychological and Brain Sciences, Drexel University, Philadelphia, PA, USA.
Laura BrennanDepartment of Neurology, Thomas Jefferson University Hospital, Philadelphia, PA, USA.
Laura SaadDepartment of Psychology, Rutgers University, New Brunswick, NJ, USA.
Tania GiovannettiDepartment of Psychology, Temple University, Philadelphia, PA, USA.
Roy H HamiltonAlzheimer's Disease Research Center, University of Pennsylvania, Philadelphia, PA, USA.
David A WolkAlzheimer's Disease Research Center, University of Pennsylvania, Philadelphia, PA, USA.
Sharon X XieAlzheimer's Disease Research Center, University of Pennsylvania, Philadelphia, PA, USA.
Dawn Mechanic-HamiltonAlzheimer's Disease Research Center, University of Pennsylvania, Philadelphia, PA, USA.
University of Pennsylvania · USDrexel University · USRutgers, The State University of New Jersey · USTemple University · USThomas Jefferson University Hospital · US

Funding

UPenn ADCC Biomarker CoreP30AG010124 · NIA · UNIVERSITY OF PENNSYLVANIA · PI DETRE, JOHN A · 1991 to 2020
$35.1M
Research Education ComponentP30AG072979 · NIA · UNIVERSITY OF PENNSYLVANIA · PI DAVID A WOLK · 2021 to 2026
$24.8M
Development of a Mobile Cognitive App for Detecting and Monitoring Change in Preclinical Alzheimer's DiseaseK23AG065499 · NIA · UNIVERSITY OF PENNSYLVANIA · PI MECHANIC-HAMILTON, DAWN J · 2020 to 2024
$884k
NIA NIH HHS K23 AG065499NIA NIH HHS P30 AG010124NIA NIH HHS P30 AG072979
6 · The paper itself

Abstract

backgroundActuarial and statistical methods have been proposed as alternatives to conventional methods of diagnosing mild cognitive impairment (MCI), with the aim of enhancing diagnostic and prognostic validity, but have not been compared in racially diverse samples.

objectiveWe compared the agreement of consensus, actuarial, and statistical MCI diagnostic methods, and their relationship to race and prognostic indicators, among diverse older adults.

methodsParticipants (N = 354; M age = 71; 68% White, 29% Black) were diagnosed with MCI or normal cognition (NC) according to clinical consensus, actuarial neuropsychological criteria (Jak/Bondi), and latent class analysis (LCA). We examined associations with race/ethnicity, longitudinal cognitive and functional change, and incident dementia.

resultsMCI rates by consensus, actuarial criteria, and LCA were 44%, 53%, and 41%, respectively. LCA identified three MCI subtypes (memory; memory/language; memory/executive) and two NC classes (low normal; high normal). Diagnostic agreement was substantial, but agreement of the actuarial method with consensus and LCA was weaker than the agreement between consensus and LCA. Among cases classified as MCI by actuarial criteria only, Black participants were over-represented, and outcomes were generally similar to those of NC participants. Consensus diagnoses best predicted longitudinal outcomes overall, whereas actuarial diagnoses best predicted longitudinal functional change among Black participants.

conclusionConsensus diagnoses optimize specificity in predicting dementia, but among Black older adults, actuarial diagnoses may be more sensitive to early signs of decline. Results highlight the need for cross-cultural validity in MCI diagnosis and should be explored in community- and population-based samples.

Indexed as

Cognitive DysfunctionDementiaActuarial AnalysisAgedAged, 80 and overBlack or African AmericanCognitionConsensus Statements as TopicDisease ProgressionFemaleHumansLatent Class AnalysisMaleMiddle AgedNeuropsychological TestsPrognosisActuarial analysisAlzheimer’s diseasecognitive agingearly diagnosislatent class analysismemory disordersmild cognitive impairmentminority healthrace factorsstatistical models

Identifiers

PMID34864658
PMCPMC8820242
OpenAlexW3215466689

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.