Clinical Guidelines for the Treatment of Depressive Disorders VI. Special Populations
Bibliographic record
Abstract
BACKGROUND: The Canadian Psychiatric Association and the Canadian Network for Mood and Anxiety Treatments partnered to produce clinical guidelines for psychiatrists for the treatment of depressive disorders. METHODS: A standard guidelines development process was followed. Relevant literature was identified using a computerized Medline search supplemented by review of bibliographies. Operational criteria were used to rate the quality of scientific evidence, and the line of treatment recommendations included consensus clinical opinion. This section, "Special Populations," is 1 of 7 articles that were drafted and reviewed by clinicians. Revised drafts underwent national and international expert peer review. RESULTS: This section reports on the prevalence, course, and outcome of depression for specific populations. Psychological, pharmacologic, and other biological treatment options for these populations--children and adolescents, the elderly, women at times of increased risk within the reproductive cycle, and specific ethnocultural groups--are critically evaluated. CONCLUSIONS: Major depressive disorder (MDD) is prevalent across the lifespan. In general, clinical presentations are more similar than different across age, sex, and cultural divides. Although less evidence is available for the efficacy of treatments in these subpopulations than in mid-life patients, comparable rates of response for pharmacotherapies, electroconvulsive therapy (ECT), and, in some cases, evidence-based psychotherapies have been reported.
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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 | 0.008 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.022 | 0.013 |
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".