A comparison of tiotropium, long-acting β2-agonists and leukotriene receptor antagonists on lung function and exacerbations in paediatric patients with asthma
Bibliographic record
Abstract
Abstract Diagnosing and treating asthma in paediatric patients remains challenging, with many children and adolescents remaining uncontrolled despite treatment. Selecting the most appropriate pharmacological treatment to add onto inhaled corticosteroids (ICS) in children and adolescents with asthma who remain symptomatic despite ICS can be difficult. This literature review compares the efficacy and safety of long-acting β 2 -agonists (LABAs), leukotriene receptor antagonists (LTRAs) and long-acting muscarinic antagonists (LAMAs) as add-on treatment to ICS in children and adolescents aged 4–17 years. A literature search identified a total of 29 studies that met the inclusion criteria, including 21 randomised controlled trials (RCTs) of LABAs versus placebo, two RCTs of LAMAs (tiotropium) versus placebo, and four RCTs of LTRA (montelukast), all as add-on to ICS. In these studies, tiotropium and LABAs provided greater improvements in lung function than LTRAs, when compared with placebo as add-on to ICS. Although exacerbation data were difficult to interpret, tiotropium reduced the risk of exacerbations requiring oral corticosteroids when added to ICS, with or without additional controllers. LABAs and LTRAs had a comparable risk of asthma exacerbations with placebo when added to ICS. When adverse events (AEs) or serious AEs were analysed, LABAs, montelukast and tiotropium had a comparable safety profile with placebo. In conclusion, this literature review provides an up-to-date overview of the efficacy and safety of LABAs, LTRAs and LAMAs as add-on to ICS in children and adolescents with asthma. Overall, tiotropium and LABAs have similar efficacy, and provide greater improvements in lung function than montelukast as add-on to ICS. All three controller options have comparable safety profiles.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".