Psychotherapy, Antidepressants, and Their Combination for Chronic Major Depressive Disorder: A Systematic Review
Bibliographic record
Abstract
OBJECTIVE: Recommendations for treatment of chronic major depressive disorder (cMDD) are mostly based on clinical experiences and on the literature on treatment-resistant depression (TRD) but not on a systematic review of the literature. METHOD: We conducted a systematic review of 10 randomized controlled trials (RCTs), with 17 comparisons between antidepressants (ADs), psychotherapy, or the combination of both interventions. RESULTS: The best evidence is for the combination of psychotherapy and ADs, and especially for the combination of the cognitive behavourial analysis system of psychotherapy and ADs. Evidence is very weak for both ADs alone and psychotherapy alone. Assessment of TRD was mostly absent in the studies. CONCLUSION: The best treatment for cMDD is a combination of psychotherapy and ADs. However, there is a lack of well-performed RCTs in both ADs and psychotherapy and their combination for cMDD. Therefore, the conclusions are preliminary.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.005 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".