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Record W2170051211 · doi:10.1521/ijgp.2012.62.2.309

Group CBT for Early Psychosis—Are There Still Benefits One Year Later?

2012· article· en· W2170051211 on OpenAlexafffund
Tania Lecomte, Claude Leclerc, Til Wykes

Bibliographic record

VenueInternational Journal of Group Psychotherapy · 2012
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsConcordia University
FundersCanadian Institutes of Health ResearchNational Institute for Health and Care Research
KeywordsPsychosisAttritionRandomized controlled trialGroup psychotherapyPsychologyCognitive therapyCognitive behavioral therapyClinical psychologyCognitive behaviour therapyCognitionPsychiatryMedicine

Abstract

fetched live from OpenAlex

Our team recently conducted a randomized controlled trial comparing group cognitive behavior therapy for psychosis (CBTp) to group social skills training for symptom management and a wait-list control group, for early psychosis. The results at post-therapy and six months provided considerable empirical support for the efficacy of the group CBTp. The results of the one-year follow-up are described here. Given the high attrition rates, mostly in the comparison and control conditions, imputations were not possible, so that only the results of those having completed more than 50% of the group CBTp are presented. Significant improvements at 12 months were found for social support and insight. Negative symptoms remained low, whereas positive symptoms went back to pre-therapy levels. Challenges regarding attrition with this clientele are discussed.

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)0.005
metaresearch head score (Gemma)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0090.001

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 head0.042
GPT teacher head0.346
Teacher spread0.305 · 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

Citations35
Published2012
Admission routes2
Has abstractyes

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