International Variation in Asthma and Bronchiolitis Guidelines
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Guideline recommendations for the same clinical condition may vary. The purpose of this study was to determine the degree of agreement among comparable asthma and bronchiolitis treatment recommendations from guidelines. METHODS: National and international guidelines were searched by using guideline databases (eg, National Guidelines Clearinghouse: December 16-17, 2014, and January 9, 2015). Guideline recommendations were categorized as (1) recommend, (2) optionally recommend, (3) abstain from recommending, (4) recommend against a treatment, and (5) not addressed by the guideline. The degree of agreement between recommendations was evaluated by using an unweighted and weighted κ score. Pairwise comparisons of the guidelines were evaluated similarly. RESULTS: There were 7 guidelines for asthma and 4 guidelines for bronchiolitis. For asthma, there were 166 recommendation topics, with 69 recommendation topics given in ≥2 guidelines. For bronchiolitis, there were 46 recommendation topics, with 21 recommendation topics provided in ≥2 guidelines. The overall κ for asthma was 0.03, both unweighted (95% confidence interval [CI]: -0.01 to 0.07) and weighted (95% CI: -0.01 to 0.10); for bronchiolitis, it was 0.32 unweighted (95% CI: 0.16 to 0.52) and 0.15 weighted (95% CI: -0.01 to 0.5). CONCLUSIONS: Less agreement was found in national and international guidelines for asthma than for bronchiolitis. Additional studies are needed to determine if differences are based on patient preferences and values and economic considerations or if other recommendation-level, guideline-level, and condition-level factors are driving these differences.
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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 | 0.057 | 0.217 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".