Evidence map›Paper›PMID 35809354›Full record

ArticleSchizophrenia research2022

Comparison of two cognitive screening measures in a longitudinal sample of youth at-risk for psychosis.

Jenna R Kantor, Ruben C Gur, Monica E Calkins, Tyler M Moore, Allison M Port, Kosha Ruparel, J Cobb Scott, Scott Troyan, Raquel E Gur, David R Roalf

Open access · greenAbstract read
In one paragraph

Article in Schizophrenia research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  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

10 authors at 4 institutions in 1 country.

Jenna R KantorBrain Behavior Laboratory, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute, Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, USA.
Ruben C GurBrain Behavior Laboratory, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute, Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, USA.
Monica E CalkinsBrain Behavior Laboratory, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute, Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, USA.
Tyler M MooreBrain Behavior Laboratory, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute, Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, USA.
Allison M PortBrain Behavior Laboratory, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute, Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, USA.
Kosha RuparelBrain Behavior Laboratory, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute, Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, USA.
J Cobb ScottBrain Behavior Laboratory, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; VISN4 Mental Illness Research, Education, and Clinical Center at the Philadelphia VA Medical Center, Philadelphia, PA 19104, USA.
Scott TroyanBrain Behavior Laboratory, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute, Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, USA.
Raquel E GurBrain Behavior Laboratory, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute, Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, USA.
David R RoalfBrain Behavior Laboratory, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute, Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, USA. Electronic address: roalf@pennmedicine.upenn.edu.
Children's Hospital of Philadelphia · USUniversity of Pennsylvania · USLifespan · USVA Healthcare-VISN 4 · US

Funding

NEUROBEHAVIORAL STUDY OF SCHIZOPHRENIAR01MH042191 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RAQUEL E · 1987 to 2018
$7.1M
Ultra-high field GluCEST MRI and MRS in youth at risk for psychosisR01MH120174 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI ROALF, DAVID R · 2020 to 2024
$3.8M
Evolution of Psychosis in Youth: Multimodal Risk and Resilience MarkersR01MH119219 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RAQUEL E, GUR, RUBEN C. · 2019 to 2023
$3.8M
Olfactory and facial markers of developmental risk for psychosis in 22q11 deletion syndromeR01MH119185 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI ROALF, DAVID R · 2019 to 2024
$3.5M
Creating an adaptive screening tool for detecting neurocognitive deficits and psychopathology across the lifespanR01MH117014 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RUBEN C. · 2019 to 2022
$2.9M
NIMH NIH HHS R01 MH042191NIMH NIH HHS R01 MH117014NIMH NIH HHS R01 MH119185NIMH NIH HHS R01 MH119219NIMH NIH HHS R01 MH120174
6 · The paper itself

Abstract

backgroundValidated screening tools are needed to detect subtle cognitive impairment in individuals at-risk for developing psychosis. Here, the utility of the Mini-Mental Status Examination (MMSE) and Penn Computerized Neurocognitive Battery (CNB) were evaluated for detecting cognitive impairment in individuals with psychosis spectrum (PS) symptoms.

methodsParticipants (n = 229; 54 % female) completed the MMSE and CNB at baseline and two-year follow-up. PS (n = 91) and typically developing (TD; n = 138) participants were enrolled at baseline based on the presence or absence of PS symptoms. After two years, 65 participants remained PS, 104 participants remained TD, 23 participants had Emergent (EP) subthreshold PS symptoms, and 37 participants were experiencing Other Psychopathology (OP).

resultsGenerally, those with PS had lower scores than TD on both the MMSE (p < 0.0001) and CNB (p < 0.0001). Additionally, OP participants performed lower on the MMSE than TD (p = 0.02). Receiver operating characteristic (ROC) analyses indicated similar area under the curve (AUCs) for the two instruments (0.67); the MMSE showed higher specificity (0.71 vs. 0.62), while the CNB showed higher sensitivity (0.66 vs 0.52). Use of the MMSE and CNB in combination provided the highest diagnostic classification.

conclusionThe MMSE and CNB can be used to screen for cognitive impairment in PS. The MMSE is better at ruling out PS-related cognitive impairment while the CNB is better at ruling in PS-related cognitive impairment. Overall, our results indicate that both tests are useful in screening for cognitive impairment, particularly in combination, in a PS population.

Indexed as

Cognitive DysfunctionPsychotic DisordersAdolescentCognitionFemaleHumansMaleMental Status and Dementia TestsNeuropsychological TestsROC CurveAt-riskCognitionMMSEPenn computerized neurocognitive batteryPsychosis

Identifiers

PMID35809354
PMCPMC10838490
OpenAlexW4284666302

What OpenQuestion holds

Textmetadata
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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.