Evidence map›Paper›PMID 34934063›Full record

ArticleNPJ schizophrenia2021

Validation of an ecological momentary assessment to measure processing speed and executive function in schizophrenia.

Cecelia Shvetz, Feng Gu, Jessica Drodge, John Torous, Synthia Guimond

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in NPJ schizophrenia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05973110 (Examining the Efficacy of a Virtual Reality Cognitive Remediation Program for People Living With Psychosis), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 13% 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.

NCT05973110 narecruitingnot on this mapstarted 2023, after this paper: background citation

Examining the Efficacy of a Virtual Reality Cognitive Remediation Program for People Living With Psychosis

TypeinterventionalSponsorThe Royal Ottawa Mental Health CentreRan2023 to 2026Enrolled52ConditionsPsychotic Disorders, Schizophrenia, Schizo Affective DisorderArmsCognitive Remediation, Active Control
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Digital Neuropsychology beyond Computerized Cognitive Assessment: Applications of Novel Digital Technologies.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. 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

5 authors at 3 institutions in 2 countries.

Cecelia ShvetzThe Royal's Institute of Mental Health Research, Ottawa, ON, Canada.
Feng GuThe Royal's Institute of Mental Health Research, Ottawa, ON, Canada.
Jessica DrodgeThe Royal's Institute of Mental Health Research, Ottawa, ON, Canada.
John TorousDepartment of Psychiatry and Division of Clinical Informatics, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-5362-7937
Synthia GuimondThe Royal's Institute of Mental Health Research, Ottawa, ON, Canada. synthia.guimond@uqo.ca.ORCID http://orcid.org/0000-0002-1582-725X
Royal Ottawa Mental Health Centre · CAUniversity of Ottawa · CABeth Israel Deaconess Medical Center · US

Funding

Digital Phenotyping for Computational Models of Relapse Prediction in Early Course PsychosisK23MH116130 · NIMH · BETH ISRAEL DEACONESS MEDICAL CENTER · PI TOROUS, JOHN · 2018 to 2021
$872k
NIMH NIH HHS K23 MH116130U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) K23MH116130
6 · The paper itself

Abstract

Cognitive impairments are a core feature of schizophrenia that have negative impacts on functional outcomes. However, it remains challenging to assess these impairments in clinical settings. Smartphone apps provide the opportunity to measure cognitive impairments in an accessible way; however, more research is needed to validate these cognitive assessments in schizophrenia. We assessed the initial accessibility, validity, and reliability of a smartphone-based cognitive test to measure cognition in schizophrenia. A total of 29 individuals with schizophrenia and 34 controls were included in the analyses. Participants completed the standard pen-and-paper Trail Making Tests (TMT) A and B, and smartphone-based versions, Jewels Trail Tests (JTT) A and B, at the single in-lab visit. Participants were asked to complete the JTT remotely once per week for three months. We also investigated how subjective sleep quality and mood may affect cognitive performance longitudinally. In-lab and remote JTT scores moderately and positively correlated with in-lab TMT scores. Moderate test-retest reliability was observed across the in-lab, first remote, and last remote completion times of the JTT. Additionally, individuals with schizophrenia had significantly lower performance compared to controls on both the in-lab JTT and TMT. Self-reported mood had a significant effect on JTT A performance over time but no other significant relationships were found remotely. Our results support the initial accessibility, validity and reliability of using the JTT to measure cognition in schizophrenia. Future research to develop additional smartphone-based cognitive tests as well as with larger samples and in other psychiatric populations are warranted.

Identifiers

PMID34934063
PMCPMC8692600
OpenAlexW4200476890

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.