Protocol for the systematic reviews on the desirable and undesirable effects of pharmacological treatments of allergic rhinitis informing the ARIA 2024 guidelines
Bibliographic record
Abstract
There is insufficient evidence regarding the comparative efficacy and safety of pharmacological treatments of allergic rhinitis (AR). In the context of informing the 2024 revision of the Allergic Rhinitis and its Impact on Asthma (ARIA) guidelines, we plan to perform three systematic reviews of randomized controlled trials (RCTs) comparing the desirable and undesirable effects (i) between intranasal and oral medications for AR; (ii) between combinations of intranasal and oral medications versus nasal or oral medications alone; and (iii) among different intranasal specific medications. We will search four electronic bibliographic databases and three clinical trials databases for RCTs examining patients ≥ 12 years old with seasonal or perennial AR. Assessed outcomes will include the Total Nasal Symptom Score, the Total Ocular Symptom Score, and the Rhinoconjunctivitis Quality-of-Life Questionnaire. We will assess the methodological quality of included primary studies by using the Cochrane risk-of-bias tool. If appropriate, we will perform a pairwise random-effects meta-analysis for each pair of assessed medication classes and outcomes, as well as a network meta-analysis to assess the comparative efficacy of intranasal medications among each other. Heterogeneity will be explored by sensitivity and subgroup analyses. This set of systematic reviews will allow for a comprehensive assessment of the effectiveness and safety of pharmacological interventions for AR and inform recommendations in the context of the ARIA guidelines.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".