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Record W2416930773 · doi:10.1159/000455545

Dose-Response Study of Oral Fenoterol in Asthmatic Children

2019· article· en· W2416930773 on OpenAlexaff
Dennis Gurwitz, Henry Levison

Bibliographic record

VenueDevelopmental Pharmacology and Therapeutics · 2019
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsFenoterolBronchodilationCrossover studyPlaceboMedicineBlood pressureAnesthesiaBronchodilatationOral administrationBronchodilatorAsthmaPharmacologyInternal medicine

Abstract

fetched live from OpenAlex

To assess the dose of oral fenoterol, a beta 2-receptor stimulant, which provided optimal bronchodilation with minimal side effects, we studied 12 children using a double-blind crossover comparison of three dose levels, 2.5, 5 and 7.5 mg, and a placebo. ventilatory function, pulse rate, blood pressure and clinical examination were compared over a 3-hour period. Administration of fenoterol resulted in bronchodilation; a maximal effect was seen at 60--90 min lasting over the period of the study. 7.5 mg of fenoterol produced the maximal bronchodilation, but it was not significantly different from 5 mg. Side effects were minimal and no significant drug-response relationship was noted for blood pressure and pulse rate. 5 mg of fenoterol provided optimal bronchodilation with minimal side effects.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.315
Teacher spread0.298 · 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 designNon-randomized trial
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

Citations6
Published2019
Admission routes1
Has abstractyes

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