Are systemic corticosteroids needed for all asthma exacerbations?
Bibliographic record
Abstract
Extract Asthma exacerbations are potentially life-altering crises for many patients [1]. Despite this pivotal impact in the life cycle of asthma, the treatment for exacerbations has not changed in nearly 50 years. In particular, the therapeutic approach to exacerbations has not incorporated directions to identify which patient is most likely to benefit from the current cornerstone of treatment – systemic corticosteroids (SCS). Despite extensive clinical experience and research, major gaps exist on how to best utilise SCS during an asthma exacerbation, including the optimal therapeutic dose, the ideal duration of treatment to restore baseline conditions, and precise knowledge of the dominant and beneficial anti-inflammatory effects that SCS provide in the airways during an exacerbation [2]. An answer to part of this unmet need might begin with the recognition that patterns of airway inflammation in asthma are heterogeneous and contribute to predicting the efficacy of treatment [3]. At present, every asthma exacerbation is treated similarly with SCS and with the same expectancy of a positive response.
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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.014 | 0.012 |
| Insufficient payload (model declined to judge) | 0.008 | 0.007 |
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".