Cognitive Behavior Therapy for Mental Disorders in Adults
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.
Bibliographic record
Abstract
Importance: Cognitive behavior therapy (CBT) is a first-line treatment for most mental disorders. However, no meta-analytic study has yet integrated the results of randomized clinical trials on CBT across different disorders, using uniform methodologies and providing a complete overview of the field. Objective: To examine the effect sizes of CBT for 4 anxiety disorders, 2 eating disorders, major depression, obsessive-compulsive disorder (OCD), posttraumatic stress disorder (PTSD), and psychotic and bipolar disorders on symptoms of the respective disorders using uniform methodologies for data extraction, risk of bias (RoB) assessment, and meta-analytic techniques. Data Sources: Major bibliographical databases (PubMed, PsycINFO, and Embase for all disorders) were searched up to January 1, 2024, for each disorder separately. Data analysis was performed from August 2024 to January 2025. Study Selection: Randomized clinical trials comparing CBT with inactive control conditions in adults with 1 of the mental disorders established through a clinical interview were included. Data Extraction and Synthesis: Basic characteristics of patients, CBT, and studies were extracted. RoB was assessed with the Cochrane RoB tool 2. Meta-analyses were conducted using random-effects models. Main Outcomes and Measures: The primary outcome was the standardized mean difference (Hedges g) indicating the difference between CBT and controls at posttreatment on symptoms of the respective disorders. Results: A total of 375 trials (423 comparisons) between CBT and controls were included among 32 968 patients. The overall mean (SD) patient age was 43.4 (13.7) years, and the mean (SD) proportion of women was 0.68 (0.24). Effect sizes for CBT compared to all control conditions (g) were lower than 0.5 for bipolar and psychotic disorder; between 0.5 and 1.0 for panic, social anxiety, and generalized anxiety disorders, bulimia nervosa, binge eating disorders, depression, and OCD; and larger than 1.0 for PTSD and specific phobias (range of effect sizes: 0.31 for bipolar disorder to 1.27 for PTSD). Large effect sizes (g > 0.94) were observed in waitlist-controlled trials, a control condition mostly used in anxiety and eating disorders, PTSD, and OCD. Trials using care as usual showed more modest effect sizes (0.22-1.13). Study dropout rates within the CBT conditions ranged from 8% for specific phobia to 24% for PTSD. Conclusions and Relevance: In this unified series of meta-analyses, CBT was probably effective in the treatment of mental disorders, including major depression, anxiety disorders, PTSD, OCD, and eating disorders, and possibly effective in psychotic and bipolar disorders. However, the effect sizes depended on the type of control condition.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it