Asthma guidelines: the Global Initiative for Asthma in relation to national guidelines
Bibliographic record
Abstract
PURPOSE OF REVIEW: To compare and contrast national asthma guidelines with the Global Initiative for Asthma (GINA) strategy for asthma management and prevention. RECENT FINDINGS: The common goal of GINA and national asthma guidelines is to improve asthma care using the best evidence available from published data. This evidence-based approach has evolved from an initial perspective of expert opinion but with that evolution has not always considered the breadth of asthma phenotypes. GINA and national guidelines differ in a number of ways. GINA reviews available data and updates the core document and recommendations based on the latest data on a yearly basis to offer local, regional and national guidelines materials needed for knowledge mobilization. It remains the purview of those organizations to structure and implement those locally appropriate guidelines. SUMMARY: Both GINA and national guidelines have furthered asthma care to narrow the care gap from what is known to how asthma care is delivered, hopefully in a more directed, personalized manner. As well, both GINA and national guidelines have helped to shape the direction of research for the future benefit of children and their families.
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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 | 0.018 | 0.082 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.011 | 0.012 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.018 | 0.008 |
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".