An International Comparison of the Information in the Regulatory-Approved Drug Labeling and Prescribing Guidelines for Pediatric Depression
Bibliographic record
Abstract
Objectives: To determine the differences in information between prescribing guidelines and drug labeling, as well as to compare the approval of psychotropic medicines for major depression in pediatric patients (“pediatric depression”) across countries. Methods: The recommendations of The Maudsley Prescribing Guidelines in Psychiatry (MPGP) for the treatment of pediatric depression (<18 years) were compared against the regulatory-approved drug-labeling documents from the United Kingdom, Australia, New Zealand, Canada, and the United States. The use of medicines outside of their regulatory approval is defined as off-label use, so differences between the drug labeling and MPGP were characterized according to unapproved age, indication, dosage, or route of administration. Information in the drug labeling was also compared across countries. Results: MPGP provides recommendations for 6 medicines for the treatment of pediatric depression, for which, 30 drug labeling were retrieved. Three of 30 drug labeling were consistent with MPGP recommendations (fluoxetine in the United Kingdom, fluoxetine and escitalopram in the United States). Differences in information between MPGP and the drug labeling were identified in 26 of 30 drug labeling analyzed, most often due to age (24/26) followed by indication (2/26). No differences pertaining to dosage or route of administration information were identified. The number of approved psychotropic medicines varied across the studied countries and we found cross-country discrepancies in information in the drug labeling. Conclusion: Significant differences in information exists between MPGP and the drug labeling for psychotropic medicines for pediatric depression, due to unapproved ages or indications. Additionally, approval information in the drug labeling are not consistent across countries. Further research into reasons for variability and impact on practice may be warranted.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 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".