Averting the foul taste of pediatric medicines improves adherence and can be lifesaving – Pheburane® (sodium phenylbutyrate)
Bibliographic record
Abstract
Gideon Koren,1 Michael J Rieder,1 Yona Amitai2 1Department of Physiology and Pharmacology, The University of Western Ontario, London, ON, Canada; 2Bar-Ilan University, Ramat Gan, Israel Background: Children’s aversions to poor and mostly bitter tastes and their inability to swallow tablets and capsules are major challenges in pediatric medicine. Sodium phenylbutyrate (NaPB) is a lifesaving waste nitrogen, alternative to urea nitrogen, for individuals suffering from urea cycle disorders. A major issue in the use of NaPB is its highly foul taste, which often leads to children being unable to consume it, resulting in ineffective treatment, or alternatively, necessitating the application of the drug through a nasogastric tube or gastrostomy. Methods: This study reviews the published data on a novel formulation of NaPB, Pheburane® granules, which begin to release their NaPB after a lag time of ~10 seconds followed by a slow release over several minutes. Results: The taste-masked granule formulation of NaPB dramatically improves the acceptability of the drug by children and appears in initial studies to be both safe and effective. Conclusion: While more studies are needed to substantiate and enrich these initial trials, the available data provide a telling example where masking the drug taste of medicine for children can sometimes be the difference between life and death. Keywords: sodium phenylbutyrate, adherence, urea cycle disorders, Pheburane®, taste, children
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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 | 0.000 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".