Montelukast in asthmatic patients 6 years–14 years old with an FEV<sub>1</sub>> 75%
Bibliographic record
Abstract
OBJECTIVES: Montelukast is a potent leukotriene receptor antagonist effective for treating asthma symptoms in adult and pediatric patients. The purpose of this analysis was to assess the clinical efficacy of montelukast, a potent leukotriene-receptor antagonist, in a subgroup analysis of patients aged 6 years-14 years with milder asthma, defined as a percentage predicted forced expiratory volume in 1 s (FEV1) > 75% using data from a clinical trial of pediatric patients with a broad range of asthma severities. RESEARCH DESIGN AND METHODS: The original previously published clinical trial was an 8-week multi-center, randomized, double-blind, parallel-group study conducted in 47 centers in the United States and Canada. The study compared the efficacy of once daily montelukast 5 mg to placebo in patients 6 years-14 years old with persistent asthma and an FEV1 ranging from 50% to 85% of predicted. A total of 87 patients in the montelukast group and 51 patients in the placebo group were selected from the original cohort of 336 patients based on percentage predicted FEV1 of > 75%. The primary endpoint was percentage change in FEV1 from baseline compared with placebo over 8 weeks of active treatment. RESULTS: Montelukast significantly improved the primary endpoint of percentage change in FEV1 compared with placebo (p = 0.005). Other efficacy endpoints were significantly improved on montelukast similar to efficacy in the original study. CONCLUSION: Montelukast significantly improved FEV1, clinic measured peak expiratory flow (PEF), reduced nocturnal awakenings, and improved quality of life in children with milder persistent asthma defined as an FEV1 > 75% of predicted.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".