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Record W4237337529 · doi:10.1093/schbul/sbu113

Cognitive Behavioral Therapy (Brief vs Standard Duration) for Schizophrenia

2014· article· en· W4237337529 on OpenAlexaff
Farooq Naeem, Saeed Farooq, David Kingdon

Bibliographic record

VenueSchizophrenia Bulletin · 2014
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsQueen's University
Fundersnot available
KeywordsSchizophrenia (object-oriented programming)PsychosisCognitive behavioral therapyPsychologyCognitionRandomized controlled trialPsychiatryClinical psychologyCognitive therapyMedicinePsychotherapist

Abstract

fetched live from OpenAlex

There is some evidence from research that suggests that cognitive behavioral therapy for psychosis (CBTp) might offer some advantage if offered in combination with pharmacological treatments for people with schizophrenia. There are, however, limitations in its provision due to available resource and training issues. Brief forms of CBTp might be an alternative in settings with limited resources. Brief therapies have shown to be as effective as standard therapies for some nonpsychotic disorders. There is some evidence in favor of brief CBTp. We wanted to review the effects of brief CBTp for people with schizophrenia compared with standard CBTp. We searched the Cochrane Schizophrenia Group's Trials Register for randomized controlled trials (RCTs) involving adults with schizophrenia or related disorders, comparing brief cognitive behavioral therapy for people with psychosis vs standard CBTp. We found only 7 studies which used a brief version of CBTp, but no study compared brief CBTp with CBTp of standard duration. There is a need for RCTs which compare brief with standard CBTp. This review also highlighted the need for setting standard criteria for CBTp dose. For this review, we considered brief CBTp to be delivered within 4 months and using 6-10 sessions.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.399
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.029
GPT teacher head0.319
Teacher spread0.289 · 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; both teacher heads agree on what is shown here.

Study designRandomized trial
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

Citations9
Published2014
Admission routes1
Has abstractyes

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