Therapeutic equivalence of three metered‐dose inhalers containing salbutamol (Albuterol) in protecting against methacholine‐induced bronchoconstriction in children with asthma
Bibliographic record
Abstract
Many pharmaceutical companies sell salbutamol in metered-dose inhalers (MDI) for the treatment of asthma. However, the therapeutic equivalence of the more recently released generic products has not been compared with the original patented product in children. Twenty children with mild to moderate asthma, presently asymptomatic and with normal lung function, were randomly allocated to receive 200 microg of inhaled salbutamol (Albuterol) from three MDIs prepared by different manufacturers: the original Glaxo product and two generic products. The three drug formulations and placebo were given 10 min before a methacholine challenge test to determine the degree of protection provided against methacholine-induced bronchoconstriction (MIB) by each salbutamol aerosol. Tests were performed on 4 consecutive days. Doubling concentrations of methacholine were inhaled until the forced expired volume in 1 sec (FEV(1)) decreased by 20% from its baseline value. Compared to placebo, all patients increased significantly the provocation concentration that decreased FEV(1) by 20% (PC(20)) by more than one doubling concentration after inhaling each of the three salbutamol aerosols. The effectiveness was not significantly different between medications (P = 0.8). There was a small but significant difference among MDIs in aerosol particle size and total and fine-particle dose released per actuation. However, no relation was found between aerosol particle size or released dose and the protective effect. This study shows that the three tested brands of salbutamol MDI protected asthmatic children equally from MIB. When prescribing these salbutamol MDIs to prevent symptoms triggered by nonspecific stimuli in asthmatic children, the selection may be based on cost-benefit criteria.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".