Evidence map›Paper›PMID 26710094›Full record

ArticleNeuropsychology2016

Factor structure of cognition and functional capacity in two studies of schizophrenia and bipolar disorder: Implications for genomic studies.

Philip D Harvey, Mihaela Aslan, Mengtian Du, Hongyu Zhao, Larry J Siever, Ann Pulver, J Michael Gaziano, John Concato

Open access · hybridAbstract read
In one paragraph

Article in Neuropsychology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 18% 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  13. Sexual dimorphism in the relationship betweenFrontiers in aging neuroscience · 2022
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  18. The Computerized Functional Skills Assessment and Training Program: Sensitivity to Global Cognitive Impairment, Correlations With Cognitive Abilities, and Factor Structure.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2021
    Article
  19. Neuropsychology of Bipolar Disorder.Current topics in behavioral neurosciences · 2021
    Article
  20. Review
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

8 authors at 1 institution in 1 country.

Philip D HarveyDepartment of Research Service, Bruce W. Carter Miami Veterans Affairs Medical Center.
Mihaela AslanClinical Epidemiology Research Center, Veterans Affairs Connecticut Healthcare System.
Mengtian DuDepartment of Statistics, Yale Graduate School of Arts and Sciences, Yale University.
Hongyu ZhaoClinical Epidemiology Research Center, Veterans Affairs Connecticut Healthcare System.
Larry J SieverDepartment of Psychiatry Service, James J. Peters Veterans Affairs Medical Center.
Ann PulverDepartment of Epidemiology, Bloomberg School of Public Health.
J Michael GazianoMassachusetts Veteran Epidemiology Research and Information Center, Veterans Affairs Boston Healthcare System.
John ConcatoClinical Epidemiology Research Center, Veterans Affairs Connecticut Healthcare System.
Johns Hopkins University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale Pathology Tissue Services Shared ResourceP30CA016359 · NCI · YALE UNIVERSITY · PI DAVID L RIMM · 1985 to 2026
$85.0M
Chronic Psychiatric Disorders: Linking Genes to Functional DisabilityR01MH079784 · NIMH · JOHNS HOPKINS UNIVERSITY · PI PULVER, ANN E · 2007 to 2011
$3.8M
NCATS NIH HHS UL1 TR001863NCI NIH HHS P30 CA016359NIMH NIH HHS R01 MH079784NIMH NIH HHS R01MH079784
6 · The paper itself

Abstract

objectiveImpairments in cognition and everyday functioning are common in schizophrenia and bipolar disorder (BPD). In this article, we present factor analyses of cognitive and functional capacity (FC) measures based on 2 studies of schizophrenia (SCZ) and bipolar I disorder (BPI) using similar methods. The overall goal of these analyses was to determine whether performance-based assessments should be examined individually, or aggregated on the basis of the correlational structure of the tests, as well as to evaluate the similarity of factor structures of SCZ and BPI.

methodVeterans Affairs Cooperative Studies Program Study #572 (Harvey et al., 2014) evaluated cognitive and FC measures among 5,414 BPI and 3,942 SCZ patients. A 2nd study evaluated similar neuropsychological (NP) and FC measures among 368 BPI and 436 SCZ patients. Principal components analysis, as well as exploratory and CFAs, were used to examine the data.

resultsAnalyses in both datasets suggested that NP and FC measures were explained by a single underlying factor in BPI and SCZ patients, both when analyzed separately or as in a combined sample. The factor structure in both studies was similar, with or without inclusion of FC measures; homogeneous loadings were observed for that single factor across cognitive and FC domains across the samples.

conclusionThe empirically derived factor model suggests that NP performance and FC are best explained as a single latent trait applicable to people with SCZ and BPD. This single measure may enhance the robustness of the analyses relating genomic data to performance-based phenotypes.

Indexed as

CognitionSchizophrenic PsychologyActivities of Daily LivingAdolescentAdultAgedAged, 80 and overBipolar DisorderCognition DisordersFactor Analysis, StatisticalFemaleGenomicsHumansMaleMiddle AgedNeuropsychological Tests

Identifiers

PMID26710094
PMCPMC4693294
OpenAlexW2409167388

What OpenQuestion 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 OpenQuestion graph.