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Record W2098068735 · doi:10.1139/jpn.0527

Comorbidity and pathophysiology of obsessive–compulsive disorder in schizophrenia: Is there evidence for a schizo-obsessive subtype of schizophrenia?

2005· article· en· W2098068735 on OpenAlexaffvenue
Alexandra Bottas, R.G. Cooke, Margaret A. Richter

Bibliographic record

VenueJournal of Psychiatry and Neuroscience · 2005
Typearticle
Languageen
FieldPsychology
TopicObsessive-Compulsive Spectrum Disorders
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsPsychosisSchizophrenia (object-oriented programming)PsychologyPsychiatryNeuroimagingComorbidityObsessive compulsiveContext (archaeology)Clinical psychology

Abstract

fetched live from OpenAlex

Epidemiologic and neurobiologic evidence suggests that patients with comorbid obsessive-compulsive disorder (OCD) and schizophrenia may represent a special category among patients with schizophrenia. Efforts to examine the neurobiology of this group have focused on neuroimaging studies and neuropsychologic testing. Convergent evidence suggests that there may be a specific pattern of neurobiologic dysfunction in this subgroup of patients accounting for symptom co-expression. This review indicates that future studies should distinguish among (1) apparent obsessive-compulsive symptoms (OCS) that occur only in the context of psychosis and that may overlap with psychotic phenomenology, representing a forme fruste of psychosis; (2) OCS occurring only in the prodromal phase of schizophrenia; (3) neuroleptic-induced OCS or OCD; and (4) OCS or frank OCD occurring concurrently with schizophrenia. We examine the evidence for a putative schizo-obsessive disorder and outline suggestions for identifying OCS in the presence of psychosis.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.325
Teacher spread0.297 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations194
Published2005
Admission routes2
Has abstractyes

Explore more

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