Evidence map›Paper›PMID 38361424›Full record

ArticleJournal of the International Neuropsychological Society : JINS2024

Exploring symptom clusters in mild cognitive impairment and dementia with the NIH Toolbox.

Callie E Tyner, Aaron J Boulton, Jerry Slotkin, Matthew L Cohen, Sandra Weintraub, Richard C Gershon, David S Tulsky

Abstract read
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In one paragraph

Article in Journal of the International Neuropsychological Society : JINS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. 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

7 authors.

Callie E TynerCenter for Health Assessment Research and Translation, University of Delaware, Newark, DE, USA.ORCID 0000-0003-2945-392X
Aaron J BoultonCenter for Health Assessment Research and Translation, University of Delaware, Newark, DE, USA.
Jerry SlotkinCenter for Health Assessment Research and Translation, University of Delaware, Newark, DE, USA.
Matthew L CohenCenter for Health Assessment Research and Translation, University of Delaware, Newark, DE, USA.
Sandra WeintraubMesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Richard C GershonDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
David S TulskyCenter for Health Assessment Research and Translation, University of Delaware, Newark, DE, USA.

Funding

Research Education Core FP30AG072977 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI ROBERT J VASSAR · 2021 to 2026
$26.3M
ARMADA: Advancing Reliable Measurement in Alzheimer's Disease and cognitive Aging - Tech CoreU2CAG057441 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI GERSHON, RICHARD, WEINTRAUB, SANDRA · 2017 to 2019
$10.8M
Measuring Symptom Clusters in People with Sudden-Onset DisabilitiesR01NR018684 · NINR · UNIVERSITY OF DELAWARE · PI TULSKY, DAVID SCOTT · 2019 to 2024
$3.7M
NIA NIH HHS P30 AG072977NIA NIH HHS U2C AG057441NINR NIH HHS R01 NR018684
6 · The paper itself

Abstract

objectiveSymptom clustering research provides a unique opportunity for understanding complex medical conditions. The objective of this study was to apply a variable-centered analytic approach to understand how symptoms may cluster together, within and across domains of functioning in mild cognitive impairment (MCI) and dementia, to better understand these conditions and potential etiological, prevention, and intervention considerations.

methodCognitive, motor, sensory, emotional, and social measures from the NIH Toolbox were analyzed using exploratory factor analysis (EFA) from a dataset of 165 individuals with a research diagnosis of either amnestic MCI or dementia of the Alzheimer's type.

resultsThe six-factor EFA solution described here primarily replicated the intended structure of the NIH Toolbox with a few deviations, notably sensory and motor scores loading onto factors with measures of cognition, emotional, and social health. These findings suggest the presence of cross-domain symptom clusters in these populations. In particular, negative affect, stress, loneliness, and pain formed one unique symptom cluster that bridged the NIH Toolbox domains of physical, social, and emotional health. Olfaction and dexterity formed a second unique cluster with measures of executive functioning, working memory, episodic memory, and processing speed. A third novel cluster was detected for mobility, strength, and vision, which was considered to reflect a physical functioning factor. Somewhat unexpectedly, the hearing test included did not load strongly onto any factor.

conclusionThis research presents a preliminary effort to detect symptom clusters in amnestic MCI and dementia using an existing dataset of outcome measures from the NIH Toolbox.

Indexed as

Cognitive DysfunctionNational Institutes of Health (U.S.)AgedAged, 80 and overAlzheimer DiseaseCluster AnalysisDementiaFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedNeuropsychological TestsUnited Statesadultsagedcognitionemotionpain assessmentpsychomotor performancessensory functionsocial supportstatistical factor analyses

Identifiers

PMID38361424
PMCPMC11327385

What OpenQuestion holds

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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.