Retrospective Review of the Use of Transdermal Buprenorphine Patches (Butrans) in a Pediatric Population
Bibliographic record
Abstract
Background: Buprenorphine is an opioid medication used for the treatment of moderate to severe pain. In Canada, buprenorphine is not indicated for use in the pediatric population and literature surrounding its use in pediatrics is limited. Our aim was to evaluate the safety of transdermal buprenorphine in a pediatric palliative care setting. Methods: Our study was performed at the IWK Health Centre. Medical records of 11 patients were examined for specific clinical characteristics. The study focused primarily on descriptive results; standard data analyses were not performed. Results: Buprenorphine was found to be well tolerated in our patient population. There were no adverse effects reported in 8 of 11 patients during their treatment with buprenorphine. The remaining 3 patients described mild adverse effects in the form of skin irritation which resolved with topical steroid treatment. Efficacy was reported as anecdotal quotes from patient records. Conclusion: In this study, the use of buprenorphine in this setting was safe in a small group of patients, with the only mild adverse effect noted being a contact dermatitis in 3 patients which resolved quickly. Other studies have also demonstrated buprenorphine to be a safe and an effective opioid for the treatment of severe pain at the end of life in a pediatric population. Given these results, the implementation of buprenorphine in pediatrics may be safe for use in patients who are unable to tolerate traditional opioid analgesic therapies.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".