Evidence map›Paper›PMID 27489880›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)2016

Cognitive variability-A marker for incident MCI and AD: An analysis for the Alzheimer's Disease Neuroimaging Initiative.

Eric D Anderson, Michelle Wahoske, Mary Huber, Derek Norton, Zhanhai Li, Rebecca L Koscik, Emre Umucu, Sterling C Johnson, Jana Jones, Sanjay Asthana and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Examining the Stability and Predictive Utility of Across- and Within-Domain Intra-Individual Variability in Mild Cognitive Impairment.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2025
    Article
  10. Development and Validity of Norms for Cognitive Dispersion on the Uniform Data Set 3.0 Neuropsychological Battery.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2024
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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

12 authors.

Eric D AndersonDepartment of Human Services, School of Education and Human Services, Wright State University, Dayton, OH, USA.
Michelle WahoskeDivision of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA.
Mary HuberDepartment of Human Services, School of Education and Human Services, Wright State University, Dayton, OH, USA.
Derek NortonDepartment of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, USA.
Zhanhai LiDepartment of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, USA.
Rebecca L KoscikWisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Emre UmucuDepartment of Rehabilitation Psychology and Special Education, School of Education, University of Wisconsin, Madison, WI, USA.
Sterling C JohnsonDivision of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA; Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Geriatric Research, Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, WI, USA.
Jana JonesDepartment of Neurology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA.
Sanjay AsthanaDivision of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA; Geriatric Research, Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, WI, USA.
Carey E GleasonDivision of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA; Geriatric Research, Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, WI, USA.
Alzheimer's Disease Neuroimaging Initiative

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
Wisconsin Alzheimer's Disease Research CenterP50AG033514 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI CHAPPELL, RICHARD J · 2009 to 2018
$16.2M
African Americans Fighting Alzheimer’s in Midlife (AA-FAIM)R01AG054059 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI CAREY E GLEASON · 2016 to 2026
$15.3M
NIA NIH HHS P50 AG033514NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

introductionThe potential of intra-individual cognitive variability (IICV) to predict incident mild cognitive impairment (MCI) or Alzheimer's disease (AD) was examined and compared to well-established neuroimaging and genetic predictors.

methodsIICV was estimated using four neuropsychological measures for n = 1324 Alzheimer's Disease Neuroimaging Initiative (ADNI) participants who were cognitively healthy or diagnosed with MCI at baseline. IICV was used to predict time to incident MCI or AD, and compared to hippocampal volume loss and APOE ε4 status via survival analysis.

resultsIn survival analyses, controlling for age, education, baseline diagonosis, and APOE ε4 status, likelihood ratio tests indicate that IICV is associated with time to cognitive status change in the full sample (P < .0001), and when the sample was restricted to individuals with MCI at baseline (P < .0001). DISCUSSION: These findings suggest IICV may be a low-cost, noninvasive alternative to traditional AD biomarkers.

Indexed as

ADNIAlzheimer's diseaseAlzheimer's disease neuroimaging initiativeBiomarkerCognitive biomarkerCognitive variabilityMCIMild cognitive impairment

Identifiers

PMID27489880
PMCPMC4961828

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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.