Treatment of asthma in young children: evidence-based recommendations
Bibliographic record
Abstract
In the present review, we focus on evidence-based data for the use of inhaled corticosteroids (ICS), leukotriene receptor antagonist (LTRA), long-acting beta2-agonits (LABA) and oral corticosteroids (OCS), with a special emphasis on well-performed randomized clinical trials (RCTs) and meta-analyses of such trials for the chronic management of asthma/wheeze in infants and preschoolers. RESULTS: Seven meta-analyses and 14 RCTs were reviewed. Daily ICS should be the preferred drug for infants/preschoolers with recurrent wheezing, especially in asthmatics. For those with moderate or severe episodes of EVW, the use of high intermittent ICS doses significantly reduce the use of OCS. There is no evidence of effect of intermittent ICS at low-moderate dose in preschoolers with mild EVW episodes. In preschoolers with asthma, there were no significant differences between daily vs. intermittent ICS in terms of asthma exacerbations with insufficient power to conclude to equivalence; however, for other asthma control outcomes, daily ICS works significantly better than intermittent ICS for older children. Daily ICS is superior to daily or intermittent LRTA for reducing symptoms, preventing exacerbations, and improving lung function. No RCTs testing combination therapy with ICS and LABA (or LTRA) were published in infant/preschoolers. Parent-initiation of OCS at the first sign of symptoms is not effective in children with recurrent wheezing episode. In terms of ICS safety, growth suppression is dose and molecule-dependent but it's effect is not cumulative beyond the first year of therapy and may be associated with some catch-up growth while on or off therapy. Linear growth must be monitored as individual susceptibility to ICS drugs may vary considerably.
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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 | 0.007 | 0.023 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.007 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".