Update in the Management and Treatment of Adult Asthma for Primary Care Physicians
Bibliographic record
Abstract
Asthma is a common illness; estimates are that it affects up to 18% of the global population, with rates increasing every year. Approximately 3.8 million Canadians have asthma, and these patients continue to suffer from inadequately controlled disease as well as exacerbations. Although we have more medication choice than ever, mortality rates in Canada have not declined. Our current pharmacologic strategy has been mostly unchanged for years; it starts with an anti-inflammatory medication, usually an inhaled corticosteroid (ICS) to treat the type 2 (T2) inflammation that is most common. When an ICS provides inadequate control, therapy is often stepped up to include an ICS/long-acting beta-agonist (LABA) combination and even additional therapies like leukotriene receptor antagonists or long-acting muscarinic agents (LAMAs). As patients with uncontrolled asthma are at risk for deleterious outcomes, controlling the disease and preventing exacerbations should be the goal for all patients.
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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.017 | 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".