Bibliographic record
Abstract
PURPOSE OF REVIEW: The aim of this article is to examine the evidence for the effectiveness of systemic corticosteroids in managing acute asthma in children as it relates to the timing of its administration. RECENT FINDINGS: Three themes relevant to the timing of systemic corticosteroid administration as it relates to managing acute asthma in children are addressed, namely the evidence for early administration of systemic corticosteroid; factors associated with the administration of systemic corticosteroids and evidence for nurse-initiated administration of systemic corticosteroid. SUMMARY: There is a clear inverse relationship between time elapsed from the intake of systemic corticosteroids to disposition and the risk of admission. The variable timing of systemic corticosteroid may explain the variable success of clinical care pathways to manage acute asthma. Recent studies have documented a significant reduction hospital admission with early administration of systemic corticosteroid. For acute asthma pathways to succeed in improving hospital admission rates, implementation of such pathways must be linked to barriers to the administration of systemic corticosteroids. Findings from the studies cited provide guidance in the administration of systemic corticosteroids in children with asthma in the real life setting of an emergency department.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.019 | 0.089 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.008 |
| Scholarly communication | 0.009 | 0.030 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.023 | 0.005 |
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".