Pediatric depressive disorders: management priorities in primary care
Bibliographic record
Abstract
PURPOSE OF REVIEW: Depression is a common disorder that affects many youth. Although these youth are often managed in primary care, there is very little research or clinical guidance for primary care professionals to identify and manage depression in their pediatric patients. This review will examine the current evidence for the identification and management of pediatric depression in primary care. RECENT FINDINGS: Several recent primary studies and knowledge syntheses support the identification and management of adolescent depression in primary care with less evidence addressing depression in prepubertal patients. Research evidence from specialty care confirms the efficacy of antidepressants and psychotherapies in adolescent depression. However, there is the possible risk of rare but serious adverse events, as outlined in the Food and Drug Administration's warning, when using antidepressants to treat these youth. SUMMARY: Pediatric depression is often managed by primary care professionals. Several recent studies and reviews have been conducted to provide clinical guidance for the identification and management of depression in primary care.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".