Evidence map›Paper›PMID 40382705›Full record

ReviewSchizophrenia bulletin2025

Restoring Course as a Core Diagnostic Element of Psychotic Disorders.

Bruce M Cohen, Dost Öngür

Abstract readReview
In one paragraph

Review in Schizophrenia bulletin, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Bruce M CohenProgram for Neuropsychiatric Research, McLean Hospital, Belmont, MA 02478, United States.
Dost ÖngürDepartment of Psychiatry, Harvard Medical School, Boston, MA 02115, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFoundational models of the psychoses included course as a core element differentiating patients. Current models, ICD-11 and DSM-5, only require symptom criteria to be met to make a diagnosis. We explore the proposition that making course designation essential, again, would improve the categorization of patients with psychotic disorders. STUDY

designWe briefly discuss the history by which symptoms, alone, became the primary elements required for diagnosis. We review past and recent evidence on the best models for differentiating among psychoses. STUDY

resultsThe use of course designations, along with symptoms, produces the best fit to the way in which psychotic disorders present and progress. It also matches how clinicians assess patients and choose therapeutic interventions. A model including course as a factor is more accurate and complete than models using symptoms alone. And it produces groups of patients that are likely to be more homogeneous than purely symptom-based models. The degree of heterogeneity among patients classified together within current International Classification of Diseases (ICD) and Diagnostic and Statistical Manual of Mental Disorders (DSM) categories can lead to false findings in research and a lack of clarity on the best treatment in individual cases. Increasing homogeneity in diagnostic groups, by including course designations, could advantage clinical care, clinical trials, and research on underlying pathogenic mechanisms.

conclusionsAdding a course as a diagnostic element is practical. Clinicians already consider it. Specifying courses can be required in making a diagnosis. Doing so is evidence based and enhances the accuracy and value of diagnoses. We recommend restoring the course as a core element of any new diagnostic system.

Indexed as

Psychotic DisordersSchizophreniaDiagnostic and Statistical Manual of Mental DisordersHumansInternational Classification of Diseasesbipolar disordersDSMevidence basedheterogeneityICDschizophrenias

Identifiers

PMID40382705
PMCPMC12597523

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.