Evidence map›Paper›PMID 36929524›Full record

ArticleInternational journal of geriatric psychiatry2023

Psychometric approaches to defining cognitive phenotypes in the Old Order Amish.

Andrew Zaman, Laura Caywood, Michael Prough, Jason Clouse, Sharlene Harrington, Larry Adams, Denise Fuzzell, Sarada Fuzzell, Renee Laux, Sherri D Hochstetler and 7 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of geriatric psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 98% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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

17 authors at 2 institutions in 1 country.

Andrew ZamanJohn P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida, USA.ORCID 0000-0002-6479-6883
Laura CaywoodJohn P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida, USA.
Michael ProughJohn P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida, USA.
Jason ClouseJohn P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida, USA.
Sharlene HarringtonJohn P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida, USA.
Larry AdamsJohn P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida, USA.
Denise FuzzellDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA.
Sarada FuzzellDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA.
Renee LauxDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA.
Sherri D HochstetlerDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA.
Paula OgrockiDepartment of Neurology, Case Western Reserve University, Cleveland, Ohio, USA.
Alan LernerDepartment of Neurology, Case Western Reserve University, Cleveland, Ohio, USA.
Jeffery M VanceJohn P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida, USA.
Jonathan L HainesDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA.
William K ScottJohn P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida, USA.
Margaret A Pericak-VanceJohn P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida, USA.
Michael L CuccaroJohn P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida, USA.
University of Miami · USCase Western Reserve University · US

Funding

Protective Genetic Varients for Alzheimer Disease in the AmishR01AG058066 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI Jonathan L Haines, Margaret A. Pericak-Vance · 2022 to 2026
$8.0M
NIA NIH HHS R01 AG058066
6 · The paper itself

Abstract

objectiveMemory and cognitive problems are central to the diagnosis of Alzheimer's disease (AD). Psychometric approaches to defining phenotypes can aid in identify genetic variants associated with AD. However, these approaches have mostly been limited to affected individuals. Defining phenotypes of both affected and unaffected individuals may help identify genetic variants associated with both AD and healthy aging. This study compares psychometric methods for developing cognitive phenotypes that are more granular than clinical classifications.

methods682 older Old Order Amish individuals were included in the analysis. Adjusted Z-scores of cognitive tests were used to create four models including (1) global threshold scores or (2) memory threshold scores, and (3) global clusters and (4) memory clusters. An ordinal regression examined the coherence of the models with clinical classifications (cognitively impaired [CI], mildly impaired [MI], cognitively unimpaired), APOE-e4, sex, and age. An ANOVA examined the best model phenotypes for differences in clinical classification, APOE-e4, domain Z-scores (memory, language, executive function, and processing speed), sex, and age.

resultsThe memory cluster identified four phenotypes and had the best fit (χ

conclusionsMemory cluster stratification identified the cognitive phenotypes that best aligned with clinical classifications, APOE-e4, and cognitive performance We predict these phenotypes will prove useful in searching for protective genetic variants.

Indexed as

Alzheimer DiseaseAmishApolipoprotein E4CognitionHumansNeuropsychological TestsPhenotypePsychometricsApolipoprotein E4Alzheimer'sAmishclustercognitionphenotypepsychometric

Identifiers

PMID36929524
PMCPMC12000893
OpenAlexW4327681326

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LicenceCC BY
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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.