Evidence map›Paper›PMID 34464487›Full record

ArticleInternational journal of methods in psychiatric research2021

The Community Assessment of Psychic Experiences: Optimal cut-off scores for detecting individuals with a psychotic disorder.

Edo S Jaya, Therese van Amelsvoort, Agna A Bartels-Velthuis, Richard Bruggeman, Wiepke Cahn, Lieuwe de Haan, Rene S Kahn, Jim van Os, Frederike Schirmbeck, Claudia J P Simons and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of methods in psychiatric research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 28 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

11 authors at 7 institutions in 5 countries.

Edo S JayaFaculty of Psychology, Universitas Indonesia, Depok, Indonesia.ORCID 0000-0002-7232-6312
Therese van AmelsvoortDepartment of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands.
Agna A Bartels-VelthuisRob Giel Research Center, University Center for Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Richard BruggemanRob Giel Research Center, University Center for Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Wiepke CahnDepartment of Psychiatry, Brain Centre Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Lieuwe de HaanDepartment of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Rene S KahnDepartment of Translational Neuroscience, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrech, The Netherland.
Jim van OsDepartment of Psychiatry, Brain Centre Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Frederike SchirmbeckDepartment of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Claudia J P SimonsDepartment of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands.
Tania M LincolnClinical Psychology and Psychotherapy, Institute of Psychology, Universität Hamburg, Hamburg, Germany.
Arkin · NLMaastricht University Medical Centre · NLUniversität Hamburg · DEUniversity Medical Center Groningen · NLKing's College London · GBUniversity Medical Center Utrecht · NLUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe need for a brief screening tool for psychosis is widely recognized. The Community Assessment of Psychic Experiences (CAPE) is a popular self-report measure of psychosis, but a cut-off score that can detect those most likely to fulfill diagnostic criteria for psychotic disorder is not established.

methodsA case-control sample from the Genetic Risk and Outcome of Psychosis Project study (N = 1375, healthy individuals, n = 507, and individuals with a psychotic disorder, n = 868), was used to examine cut-off scores of the CAPE with receiver operating curve analyses. We examined 27 possible cut-off scores computed from a combination of scores from the frequency and distress scales of the various factors of the CAPE.

resultsThe weighted severity positive symptom dimension was most optimal in detecting individuals with a psychotic disorder (>1.75 cut-off; area under the curve = 0.88; sensitivity, 75%; specificity, 88%), which correctly identified 80% of the sample as cases or controls with a diagnostic odds ratio of 22.69.

conclusionsThe CAPE can be used as a first screening tool to detect individuals who are likely to fulfill criteria for a psychotic disorder. The >1.75 cut-off of the weighted severity positive symptom dimension provides a better prediction than all alternatives tested so far.

Indexed as

Psychotic DisordersCase-Control StudiesHumansRisk FactorsSelf Reportearly detectionpsychotic experiencespsychotic symptomsROCschizophrenia

Identifiers

PMID34464487
PMCPMC8633944
OpenAlexW3198118857

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.