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Record W7126440841 · doi:10.1093/pch/pxaf098

Paediatric compounding and formulations in Canada: A primer for prescribers and call to action for government

2025· article· en· W7126440841 on OpenAlexaffabout
Charlotte Moore Hepburn, Catherine Litalien, Derek McCreath, Geert ‘t Jong

Bibliographic record

VenuePaediatrics & Child Health · 2025
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical studies and practices
Canadian institutionsCanadian Paediatric Society
Fundersnot available
KeywordsCompoundingFormularyGovernment (linguistics)Call to actionAction (physics)CompromiseWork (physics)Process (computing)

Abstract

fetched live from OpenAlex

Most medications are developed and manufactured with adult needs in mind. When no commercially available medication formulation is suitable to meet a child's needs, an adult medication must be manipulated to facilitate safe and appropriate administration. This process is known as compounding and is a common practice in paediatric medicine. Reliance on compounding to meet the needs of paediatric patients means that prescribers caring for children must be aware of this practice along with its intrinsic, associated risks. In parallel, there is an urgent need for Health Canada, health technology assessment bodies, provincial/territorial formulary managers, and pharmaceutical manufacturers to work together to address the complex issues that compromise access to commercially available, child-friendly formulations in Canada.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.385
Threshold uncertainty score0.904

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.049
GPT teacher head0.370
Teacher spread0.321 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes2
Has abstractyes

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