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Record W2117159721 · doi:10.1503/cmaj.100467

Drug formulations that require less than 0.1 mL of stock solution to prepare doses for infants and children

2011· letter· en· W2117159721 on OpenAlexfundvenueno aff
Nupur N. Uppal, Baseer Yasseen, Winnie Seto, Christopher S. Parshuram

Bibliographic record

VenueCanadian Medical Association Journal · 2011
Typeletter
Languageen
FieldMedicine
TopicPharmaceutical studies and practices
Canadian institutionsnot available
FundersOntario Ministry of Research and InnovationHospital for Sick ChildrenOntario Ministry of Health and Long-Term Care
KeywordsMedicineDosingStock solutionIntensive care unitDrugPediatric intensive care unitAnesthesiaIntensive care medicinePharmacologyChemistry

Abstract

fetched live from OpenAlex

Intravenous doses of medications require formulations that permit accurate preparation and administration. Current equipment does not permit accurate measurement of volumes less than 0.1 mL. In a study of four hypothetical standard pediatric patients, we found that 28 common medications required less than 0.1 mL of available formulation to prepare the dose. In a clinical study of actual use in a pediatric intensive care unit (ICU), 5245 (7.4%) of 71 218 intravenous doses required preparation from less than 0.1 mL of stock solution. For 28.5% of the 1531 ICU admissions, at least one dose was prepared from a volume of less than 0.1 mL. Our findings identify a substantial source of dosing error. Correction will require revision of preparation methods, regulatory requirements and manufacturing practices.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.027
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0180.007
Insufficient payload (model declined to judge)0.0080.006

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 head0.058
GPT teacher head0.337
Teacher spread0.279 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

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

Citations28
Published2011
Admission routes2
Has abstractyes

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