Targeted management of severe asthma: Developing a Canadian approach
Bibliographic record
Abstract
Although only 5–10% of patients with asthma have severe disease, they account for a disproportionate share of the overall disease burden. Severe asthma is responsible for approximately 50% of all direct asthma-related costs as well as a significant decline in patient quality of life. For such patients, biologic or targeted therapies may be highly effective. However, their role is not widely understood and their use is currently minimal. Both Canadian and international research suggests that the adverse effects of oral corticosteroids in severe asthma are significant and costly but under-recognized. Our review of management of severe asthma in Canada highlights the need for increased recognition of the adverse effects of oral corticosteroids and more awareness of the newer alternative therapies on the part of physicians, as well as access to specialized care for the population with severe asthma including patient education resources, and ongoing monitoring with a severe asthma registry.
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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 | 0.011 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.009 | 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".