Montelukast for the treatment of asthma in the adult population
Bibliographic record
Abstract
INTRODUCTION: Asthma is a complex process that results from airway inflammation and manifests as bronchoconstriction. Infiltration of the airway mucosa and lumen by activated inflammatory cells, along with release of mediators, can occur extensively. Chemical mediators known as leukotrienes are believed to play a major role in this process. At present, inhaled corticosteroids (ICS) are the pharmacologic cornerstone of asthma management. However, asthma control may remain suboptimal when relying on ICS because of problems with compliance, poor inhaler technique and concerns about the side effects of steroids; additional agents are often required to control symptoms. Leukotriene receptor antagonists (LTRA), namely montelukast, provide a safe and effective additional anti-inflammatory treatment option. There is particular benefit for patients with asthma and concomitant allergic rhinitis. AREAS COVERED: Montelukast has been well studied through rigorous clinical trials. A thorough review of the literature has been undertaken to assess the evidence supporting the use of LTRAs. This review focuses on the role of montelukast not only as monotherapy but also as add-on therapy to ICS in the adult asthma population, as well as adult asthmatics with concomitant allergic rhinitis. In addition, there is often some discrepancy between the evidence generated in the idealized asthma patients recruited into randomized clinical trials and results obtained in the real-life setting. This review assesses recent clinical trials evaluating the real-life evaluation of montelukast, achieved mainly through open-label observational studies. EXPERT OPINION: Oral LTRA bring remarkable ease of anti-inflammatory treatment administration and symptom improvement with minimal side effects to the management of adult asthma. Basic asthma mechanisms and much-valued scientific groundwork has been identified by exploring target asthma treatment with anti-leukotriene therapy. This will have a significant impact in the future development of targeted asthma therapies as well as the current management of asthma and other inflammatory medical conditions.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".