Efficacy of Leukotriene Modifiers for the Treatment of Persistent Asthma in Children
Bibliographic record
Abstract
The purpose of this study was to evaluate the use of the leukotriene modifiers (LTMs), zafirlukast and montelukast, in children with asthma managed by an inner city pediatric pulmonary practice. A retrospective chart review was done of children 6 years of age with persistent asthma seen at Connecticut Children's Medical Center and prescribed LTM drugs. Eighty-three children whose asthma control was adequately assessed both before and after addition of a LTM to his/her treatment regimen was included in the study. There were statistically significant improvements in several parameters of asthma control following initiation of LTM use, including provider assessment score (p = 0.0005), number of hospitalizations and unscheduled visits (clinic or emergency department; p < 0.0001), use of oral corticosteroids (p = 0.0015), spirometry severity score (p = 0.0015), and spirometry test results (FEV1, FEV1/FVC, FEF, FEF25-75%; p < 0.005 for all). These results suggest that montelukast and zafirlukast help to improve asthma control in young patients with persistent asthma.
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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) | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".