Evidence map›Paper›PMID 38393900›Full record

ArticleJournal of Alzheimer's disease : JAD2024

Does the Cognitive Change Index Predict Future Cognitive and Clinical Decline? Longitudinal Analysis in a Demographically Diverse Cohort.

Caroline O Nester, Qi Gao, Mindy J Katz, Jacqueline A Mogle, Cuiling Wang, Carol A Derby, Richard B Lipton, Andrew J Saykin, Laura A Rabin

Open access · greenAbstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. 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

9 authors at 4 institutions in 1 country.

Caroline O NesterDepartment of Psychology, The Graduate Center, City University of New York, New York, NY, USA.
Qi GaoDepartment of Epidemiology and Public Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Mindy J KatzThe Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA.
Jacqueline A MogleCollege of Behavioral, Social and Health Sciences, Clemson University, Clemson, SC, USA.
Cuiling WangDepartment of Epidemiology and Public Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Carol A DerbyDepartment of Epidemiology and Public Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Richard B LiptonDepartment of Epidemiology and Public Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Andrew J SaykinDepartment of Radiology and Imaging Sciences, Indiana Alzheimer's Disease Research Center, IU Center for Neuroimaging, Indiana University School of Medicine, Indianapolis, IN, USA.
Laura A RabinDepartment of Psychology, The Graduate Center, City University of New York, New York, NY, USA.
Albert Einstein College of Medicine · USThe Graduate Center, CUNY · USClemson University · USIndiana University School of Medicine

Funding

Project 1U19AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI MICHAEL W WEINER · 2016 to 2026
$226.7M
Vascular Structure and Function in Cognitive AgingP01AG003949 · NIA · YESHIVA UNIVERSITY · PI CAROL A. DERBY · 1985 to 2026
$73.9M
Peripheral and Central Biomarkers of Alzheimer's Disease in Diverse CohortsU19AG074879 · NIA · MAYO CLINIC JACKSONVILLE · PI Minerva Maria Carrasquillo, NILUFER ERTEKIN-TANER · 2023 to 2026
$42.0M
Research Education ComponentP30AG010133 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI SAYKIN, ANDREW J · 1991 to 2020
$37.3M
Research Education ComponentP30AG072976 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI ANDREW J SAYKIN · 2021 to 2026
$24.1M
Ultrascale Machine Learning to Empower Discovery in Alzheimers Disease BiobanksU01AG068057 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Christos Davatzikos, Heng Huang · 2020 to 2026
$20.7M
KBASE2: Korean Brain Aging Study, Longitudinal Endophenotypes and Systems BiologyU01AG072177 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI LEE, DONG YOUNG, NHO, KWANGSIK TIMOTHY · 2021 to 2025
$11.2M
Memory Circuitry in MCI and Early Alzheimer’s Disease Prodrome: Molecular DriversR01AG019771 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI SAYKIN, ANDREW J · 2001 to 2021
$6.9M
Leveraging Neuroimaging Biomarkers to Understand the Role of Social Networks in Alzheimer's DiseaseR01AG057739 · NIA · TRUSTEES OF INDIANA UNIVERSITY · PI APOSTOLOVA, LIANA G, PERRY, BREA LOUISE · 2018 to 2022
$3.5M
Cognitive Aging, Alzheimers disease, and Cancer-related Cognitive DeclineR01AG068193 · NIA · GEORGETOWN UNIVERSITY · PI MANDELBLATT, JEANNE, SAYKIN, ANDREW J · 2020 to 2023
$2.8M
Training Grant on Alzheimer's Disease and ADRD at Indiana UniversityT32AG071444 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI GARY E. LANDRETH, Bruce T Lamb · 2021 to 2026
$2.8M
Informatics Algorithms for Genomic Analysis of Brain Imaging DataR01LM013463 · NLM · UNIVERSITY OF PENNSYLVANIA · PI MOORE, JASON H., SAYKIN, ANDREW J · 2020 to 2023
$1.4M
NIA NIH HHS P01 AG003949NIA NIH HHS P30 AG010133NIA NIH HHS P30 AG072976NIA NIH HHS R01 AG019771NIA NIH HHS R01 AG057739NIA NIH HHS R01 AG068193NIA NIH HHS T32 AG071444NIA NIH HHS U01 AG068057NIA NIH HHS U01 AG072177NIA NIH HHS U19 AG024904NIA NIH HHS U19 AG074879NINDS NIH HHS F31 NS127520NLM NIH HHS R01 LM013463
6 · The paper itself

Abstract

Background: The Cognitive Change Index (CCI) is a widely-used measure of self-perceived cognitive ability and change. Unfortunately, it is unclear if the CCI predicts future cognitive and clinical decline. Objective: We evaluated baseline CCI to predict transition from normal cognition to cognitive impairment in nondemented older adults and in predementia groups including, subjective cognitive decline, motoric cognitive risk syndrome, and mild cognitive impairment. Different versions of the CCI were assessed to uncover any differential risk sensitivity. We also examined the effect of ethnicity/race on CCI. Methods: Einstein Aging Study participants (N = 322, Mage = 77.57±4.96, % female=67.1, Meducation = 15.06±3.54, % non-Hispanic white = 46.3) completed an expanded 40-item CCI version (CCI-40) and neuropsychological evaluation (including Clinical Dementia Rating Scale [CDR], Montreal Cognitive Assessment, and Craft Story) at baseline and annual follow-up (Mfollow - up=3.4 years). CCI-40 includes the original 20 items (CCI-20) and the first 12 memory items (CCI-12). Linear mixed effects models (LME) and generalized LME assessed the association of CCI total scores at baseline with rate of decline in neuropsychological tests and CDR. Results: In the overall sample and across predementia groups, the CCI was associated with rate of change in log odds on CDR, with higher CCI at baseline predicting faster increase in the odds of being impaired on CDR. The predictive validity of the CCI broadly held across versions (CCI-12, 20, 40) and ethnic/racial groups (non-Hispanic black and white). Conclusions: Self-perception of cognitive change on the CCI is a useful marker of dementia risk in demographically/clinically diverse nondemented samples. All CCI versions successfully predicted decline.

Indexed as

Cognition DisordersCognitive DysfunctionAgedAgingCognitionFemaleHumansMaleNeuropsychological TestsAlzheimer’s diseasecognitive change indexethnic/racial minoritized groupsmild cognitive impairmentmotoric cognitive risk syndromenon-Hispanic Black older adultsnormal agingsubjective cognitive decline

Identifiers

PMID38393900
PMCPMC11376207
OpenAlexW4391970899

What Socratic 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 Socratic graph.