An appraisal of the trustworthiness of practice guidelines for depression and anxiety in children and youth
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
OBJECTIVE: Little is known about the trustworthiness of clinical practice guidelines (PGs) relevant to child and youth depression or anxiety. To address this gap, we used systematic review methods to identify all available relevant PGs, quality appraise them, and make recommendations regarding which PGs are trustworthy and should be used by clinicians. METHODS: Prespecified inclusion criteria identified eligible PGs. Two independent trained reviewers applied the Appraisal of Guidelines for Research and Evaluation (AGREE II) tool. Using three AGREE II domain scores (stakeholder involvement, rigor of development [clinical validity/trustworthiness], and editorial independence), PG quality was designated as (1) minimum (≥50%) and (2) high (≥70%). RESULTS: Of 25 eligible PGs, five met minimum quality criteria (depression, n = 4; anxiety, n = 1); three out of five met high-quality criteria (depression, n = 2; anxiety, n = 1). Among the five minimum quality PGs, developers included government (n = 2), independent expert groups (n = 2), and other (n = 1). No PGs developed by specialty societies achieved minimum or high-quality ratings; eight of 25 PGs were up-to-date. CONCLUSIONS: Trustworthy PGs are available to support clinical decisions about depression and anxiety in children and youth, but are few in number. Many existing PGs (up to 80%) may not be clinically valid. Clinicians who implement the high-quality PGs identified here can increase the number of children and youth who receive effective interventions for depression and anxiety, minimize harm, and avoid wasted resources. Clinicians, service planners, youth, and their families should encourage PG developers to increase the pool of high-quality PGs using internationally recognized PG development standards.
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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it