Evidence map›Paper›PMID 25402421›Full record

ArticleNeuroepidemiology2014

Calibrating longitudinal cognition in Alzheimer's disease across diverse test batteries and datasets.

Alden L Gross, Richard Sherva, Shubhabrata Mukherjee, Stephen Newhouse, John S K Kauwe, Leanne M Munsie, Leo B Waterston, David A Bennett, Richard N Jones, Robert C Green and 4 more

Abstract read
In one paragraph

Article in Neuroepidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

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

  1. Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2016
    Pooled it
  2. Trial
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  7. Review
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  9. Traumatic brain injury and cognitive change over 30 years among community-dwelling older adults.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  10. Article
  11. The Early-Onset Alzheimer's Disease Whole-Genome Sequencing Project: Study design and methodology.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023
    Article
  12. Review
  13. Article
  14. Article
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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

14 authors.

Alden L GrossDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md., USA.
Richard Sherva
Shubhabrata Mukherjee
Stephen Newhouse
John S K Kauwe
Leanne M Munsie
Leo B Waterston
David A Bennett
Richard N Jones
Robert C Green
Paul K Crane
Alzheimer's Disease Neuroimaging Initiative
GENAROAD Consortium
AD Genetics Consortium

Funding

Project 1U19AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI William J. Jagust · 2016 to 2026
$226.7M
Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
NATIONAL ALZHEIMERS COORDINATING CENTER (NACC)U01AG016976 · NIA · UNIVERSITY OF WASHINGTON · PI KUKULL, WALTER ANTHONY · 1999 to 2020
$72.8M
Alzheimer's Disease Genetics ConsortiumU01AG032984 · NIA · UNIVERSITY OF PENNSYLVANIA · PI SCHELLENBERG, GERARD DAVID · 2009 to 2024
$60.4M
SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1991 to 2020
$49.1M
EPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3M
Furthering scientific understanding of mechanisms underlying resilience to the effects of AD pathology by incorporating state of the art quantification of gliosis, inflammation, & synaptic toxicityU01AG006781 · NIA · UNIVERSITY OF WASHINGTON · PI CRANE, PAUL K, LARSON, ERIC B · 1986 to 2020
$39.3M
UC Davis Alzheimer's Disease Core CenterP30AG010129 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI MEYER, OANH L · 1991 to 2020
$28.3M
RISK FACTORS, PATHOLOGY, AND CLINICAL EXPRESSIONS OF ADR01AG015819 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1998 to 2024
$21.4M
EPIDEMIOLOGY OF DEMENTIA IN CACHE COUNTY, UTAHR01AG011380 · NIA · JOHNS HOPKINS UNIVERSITY · PI WELSH-BOHMER, KATHLEEN ANNE · 1994 to 2009
$12.2M
Risk Evaluation and Education for Alzheimer's Disease (REVEAL IV)R01HG002213 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI GREEN, ROBERT C. · 1999 to 2012
$7.6M
Risk Factors, Pathology, and Clinical Expressions of ADRF1AG015819 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2014 to 2014
$6.0M
CIHRNHGRI NIH HHS R01 HG002213NHGRI NIH HHS U01 HG006375NIA NIH HHS K01 AG030514NIA NIH HHS K24 AG027841NIA NIH HHS K25 AG041906NIA NIH HHS P30 AG010129NIA NIH HHS P30 AG010161NIA NIH HHS P30AG10161NIA NIH HHS R01 AG011380NIA NIH HHS R01 AG015819NIA NIH HHS R01 AG017917NIA NIH HHS R01 AG021136NIA NIH HHS R01 AG042611NIA NIH HHS R01 AG11380NIA NIH HHS R01AG17917NIA NIH HHS R03 AG045494NIA NIH HHS RF1 AG015819NIA NIH HHS U01 AG006781NIA NIH HHS U01 AG016976NIA NIH HHS U01 AG024904NIA NIH HHS U01 AG032984NIA NIH HHS U01 AG06781NIA NIH HHS U19 AG024904NINDS NIH HHS P30 NS069329NINDS NIH HHS P30 NS069329-01
6 · The paper itself

Abstract

backgroundWe sought to identify optimal approaches by calibrating longitudinal cognitive performance across studies with different neuropsychological batteries.

methodsWe examined four approaches to calibrate cognitive performance in nine longitudinal studies of Alzheimer's disease (AD) (n = 10,875): (1) common test, (2) standardize and average available tests, (3) confirmatory factor analysis (CFA) with continuous indicators, and (4) CFA with categorical indicators. To compare precision, we determined the minimum sample sizes needed to detect 25% cognitive decline with 80% power. To compare criterion validity, we correlated cognitive change from each approach with 6-year changes in average cortical thickness and hippocampal volume using available MRI data from the AD Neuroimaging Initiative.

resultsCFA with categorical indicators required the smallest sample size to detect 25% cognitive decline with 80% power (n = 232) compared to common test (n = 277), standardize-and-average (n = 291), and CFA with continuous indicators (n = 315) approaches. Associations with changes in biomarkers changes were the strongest for CFA with categorical indicators.

conclusionsCFA with categorical indicators demonstrated greater power to detect change and superior criterion validity compared to other approaches. It has wide applicability to directly compare cognitive performance across studies, making it a good way to obtain operational phenotypes for genetic analyses of cognitive decline among people with AD.

Indexed as

CognitionLongitudinal StudiesAgedAged, 80 and overAlzheimer DiseaseFactor Analysis, StatisticalHumansMaleMiddle AgedNeuropsychological TestsReproducibility of Results

Identifiers

PMID25402421
PMCPMC4297570

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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.