Evidence map›Paper›PMID 37868160›Full record

ArticleSchizophrenia bulletin open2023

Comparing a Computerized Digit Symbol Test to a Pen-and-Paper Classic.

Danielle N Pratt, Lauren Luther, Kyle S Kinney, Kenneth Juston Osborne, Philip R Corlett, Albert R Powers, Scott W Woods, James M Gold, Jason Schiffman, Lauren M Ellman and 6 more

Open access · goldAbstract read
In one paragraph

Article in Schizophrenia bulletin open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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

16 authors at 8 institutions in 1 country.

Danielle N PrattDepartment of Psychology, Northwestern University, Evanston, IL, USA.ORCID https://orcid.org/0000-0003-1581-4317
Lauren LutherDepartment of Psychology, University of Georgia, Athens, GA, USA.
Kyle S KinneyDepartment of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA.
Kenneth Juston OsborneDepartment of Psychology, Northwestern University, Evanston, IL, USA.
Philip R CorlettDepartment of Psychiatry, Yale University, New Haven, CT, USA.ORCID https://orcid.org/0000-0002-5368-1992
Albert R PowersDepartment of Psychiatry, Yale University, New Haven, CT, USA.
Scott W WoodsDepartment of Psychiatry, Yale University, New Haven, CT, USA.ORCID https://orcid.org/0000-0002-3103-5228
James M GoldDepartment of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD, USA.ORCID https://orcid.org/0000-0002-0109-9554
Jason SchiffmanDepartment of Psychological Science, University of California, Irvine, Irvine, CA, USA.
Lauren M EllmanDepartment of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA.
Gregory P StraussDepartment of Psychology, University of Georgia, Athens, GA, USA.
Elaine F WalkerDepartment of Psychology and Program in Neuroscience, Emory University, Atlanta, GA, USA.ORCID https://orcid.org/0000-0002-9798-8101
Richard ZinbargDepartment of Psychology, Northwestern University, Evanston, IL, USA.ORCID https://orcid.org/0000-0002-2670-6330
James A WaltzDepartment of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD, USA.ORCID https://orcid.org/0000-0002-9236-3719
Steven M SilversteinDepartments of Psychiatry, Neuroscience and Ophthalmology, University of Rochester Medical Center, Rochester, NY, USA.ORCID https://orcid.org/0000-0002-0699-0960
Vijay A MittalDepartment of Psychology, Northwestern University, Evanston, IL, USA.ORCID https://orcid.org/0000-0001-9017-5119
Northwestern University · USYale University · USTemple University · USUniversity of Georgia · USUniversity of Maryland, Baltimore · USEmory University · USUniversity of California, Irvine · USUniversity of Rochester Medical Center · US

Funding

Ambulatory Methods for Measuring Cognitive ChangeU2CAG060408 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI SLIWINSKI, MARTIN J · 2018 to 2022
$14.9M
2/9 - Predictors and Mechanisms of Conversion to PsychosisU01MH081988 · NIMH · EMORY UNIVERSITY · PI WALKER, ELAINE FRAN · 2008 to 2018
$5.4M
5/5 CAPER: Computerized Assessment of Psychosis RiskR01MH120089 · NIMH · YALE UNIVERSITY · PI CORLETT, PHILIP, WOODS, SCOTT W · 2020 to 2024
$3.1M
Prodromal Inventory for Negative Symptoms (PINS): A Development and Validation StudyR01MH116039 · NIMH · UNIVERSITY OF GEORGIA · PI MITTAL, VIJAY A, STRAUSS, GREGORY P · 2019 to 2023
$3.1M
1/5 CAPER: Computerized Assessment of ProdromE RiskR01MH120090 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI GOLD, JAMES M. · 2020 to 2024
$2.9M
4/5 CAPER: Computerized assessment of psychosis riskR01MH120092 · NIMH · UNIVERSITY OF GEORGIA · PI STRAUSS, GREGORY P · 2020 to 2024
$2.0M
2/5 CAPER Computerized assessment of psychosis riskR01MH120088 · NIMH · NORTHWESTERN UNIVERSITY · PI MITTAL, VIJAY A · 2020 to 2024
$2.0M
1/3-Community Psychosis Risk Screening: An Instrument Development Study SupplementR01MH112613 · NIMH · TEMPLE UNIV OF THE COMMONWEALTH · PI ELLMAN, LAUREN M · 2017 to 2022
$1.8M
CAPER: Computerized Assessment of Psychosis Risk SupplementR01MH120091 · NIMH · TEMPLE UNIV OF THE COMMONWEALTH · PI ELLMAN, LAUREN M · 2020 to 2024
$1.6M
Administrative Supplement - 3/3: Community Psychology Risk Screening: An Instrument Development StudyR01MH112612 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE COUNTY · PI PITTS, STEVEN C, SCHIFFMAN, JASON E · 2017 to 2022
$1.3M
2/3 Community psychosis risk screening: An instrument development studyR01MH112545 · NIMH · NORTHWESTERN UNIVERSITY · PI MITTAL, VIJAY A · 2017 to 2021
$1.2M
Mechanisms Underlying Emotion Regulation Abnormalities in Youth at Clinical High-Risk for PsychosisR21MH119438 · NIMH · UNIVERSITY OF GEORGIA · PI STRAUSS, GREGORY P · 2019 to 2020
$415k
NIA NIH HHS U2C AG060408NIMH NIH HHS R01 MH112545NIMH NIH HHS R01 MH112612NIMH NIH HHS R01 MH112613NIMH NIH HHS R01 MH116039NIMH NIH HHS R01 MH120088NIMH NIH HHS R01 MH120089NIMH NIH HHS R01 MH120090NIMH NIH HHS R01 MH120091NIMH NIH HHS R01 MH120092NIMH NIH HHS R21 MH119438NIMH NIH HHS U01 MH081988
6 · The paper itself

Abstract

Background and Hypothesis: Processing speed dysfunction is a core feature of psychosis and predictive of conversion in individuals at clinical high risk (CHR) for psychosis. Although traditionally measured with pen-and-paper tasks, computerized digit symbol tasks are needed to meet the increasing demand for remote assessments. Therefore we: (1) assessed the relationship between traditional and computerized processing speed measurements; (2) compared effect sizes of impairment for progressive and persistent subgroups of CHR individuals on these tasks; and (3) explored causes contributing to task performance differences. Study Design: Participants included 92 CHR individuals and 60 healthy controls who completed clinical interviews, the Brief Assessment of Cognition in Schizophrenia Symbol Coding test, the computerized TestMyBrain Digit Symbol Matching Test, a finger-tapping task, and a self-reported motor abilities measure. Correlations, Hedges' g, and linear models were utilized, respectively, to achieve the above aims. Study Results: Task performance was strongly correlated ( Conclusions: The paper symbol coding task measures impairment throughout the CHR state, while the computerized version only identifies impairment in those with worsening symptomatology. These results may be reflective of sensitivity differences, an artifact of existing subgroups, or evidence of mechanistic differences.

Indexed as

clinical high-risk for psychosiscognitioncomputerized cognitive measurepersistent CHR syndromeprocessing speedprogressive CHR syndrome

Identifiers

PMID37868160
PMCPMC10590153
OpenAlexW4387124867

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.