Choosing medications wisely: Is it time to address paediatric polypharmacy?
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
There is a growing focus in the medical community on de-escalating medical treatments where appropriate; however, specific efforts to reduce medication burden in patients with polypharmacy has largely been targeted toward adult populations. Polypharmacy increases the risk of adverse drug reactions in children, and that risk may be further increased by the use of off-label drugs. The paediatric prescribing community should explore pharmacovigilance strategies and deprescription initiatives that prioritize patients with polypharmacy. Currently, best practices may be extrapolated from the adult literature, including medication review algorithms and patient education tools. Enhancing access to nonpharmacological modalities to address child and youth mental health may mitigate psychotropic polypharmacy. The aim of these initiatives should be to improve patient outcomes and experiences by avoiding adverse drug events and drug-drug interactions.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.006 | 0.011 |
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