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Record W2096824069 · doi:10.1192/bjp.185.1.18

Predictors of antipsychotic treatment response in patients with first-episode schizophrenia, schizoaffective and schizophreniform disorders

2004· article· en· W2096824069 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe British Journal of Psychiatry · 2004
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsdupSchizophreniform disorderSchizophrenia (object-oriented programming)Schizoaffective disorderOlanzapinePsychologyPsychopathologyPsychiatryHaloperidolAntipsychoticPsychosisClinical psychologyInternal medicineMedicine

Abstract

fetched live from OpenAlex

BACKGROUND: Duration of untreated psychosis (DUP) may contribute to the observed heterogeneity of the treatment response in first-episode schizophrenia. AIMS: To examine the relationship of DUP and premorbid function with clinical outcomes following up to 2 years of antipsychotic treatment. METHOD: For a subsample (n=191) of subjects participating in a clinical trial, DUP and premorbid function were prospectively compared with clinical response to olanzapine or haloperidol. RESULTS: Shorter DUP and good premorbid function each independently are associated with better clinical response, including improvement in overall psychopathology and negative symptoms. Premorbid function also is associated with positive symptom, social and vocational outcomes. CONCLUSIONS: Earlier antipsychotic treatment is associated with better outcomes in first-episode schizophrenia. Poor premorbid function could indicate an illness subtype less likely to respond to antipsychotic treatment regardless of when it is instituted.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.144
Threshold uncertainty score0.935

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.005
GPT teacher head0.230
Teacher spread0.225 · 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