Pediatric Depression: An Evidence-Based Update on Treatment Interventions
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
Depression is a common condition among children and adolescents, with lasting detrimental effects on health, and social and occupational functioning. Despite being well-positioned to treat depression, primary care providers (PCPs) cite significant barriers. This review aims to summarize recent evidence to provide practical guidance to PCPs on the management of pediatric depression in their practices. Following identification and assessment, PCPs should provide general initial management. Children and adolescents with mild depression can be managed with active support and symptom monitoring, while those with moderate-to-severe depression can be treated with psychotherapy and/or antidepressants, which may involve referral to mental health specialty care. Less is known about the treatment of depression in children under the age of 12 years, who may be candidates for earlier referral to mental health specialty care. PCPs have the potential to improve the recognition and management of depression in young people, having lasting individual and societal benefits.
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.
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 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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