Association between allergic rhinitis and asthma in a Northern Alberta cohort
Bibliographic record
Abstract
BACKGROUND: Many published epidemiologic studies confirm a marked increase in the prevalence of asthma and allergic rhinitis. The link between allergic rhinitis and asthma has been extensively studied and approximately 75% of patients with asthma have allergic rhinitis. The proportion of patients with asthma in populations of allergic rhinitis patients has not been well studied. OBJECTIVE: The purpose of this study is to estimate the prevalence of undiagnosed asthma in a specific population of patients presenting to an Otolaryngologist with symptoms of allergic rhinitis. STUDY DESIGN: Prospective cohort study. METHODS: Patients presenting with symptoms of allergic rhinitis to two tertiary care Rhinology practices in Northern Alberta were asked to undergo allergy skin testing, serum IgE quantification, and pulmonary functional testing. Patients with previous asthma screening or known history of reactive airway disease or asthma were excluded. RESULTS: 107 patients with allergic rhinitis symptoms were recruited between September 2010 to January 2013. Patients predominantly had perennial or persistent rhinitis (64.5%) with moderate-severe symptoms (50.5%). While only 14.9% of patients had abnormal IgE levels, 68.8% had positive skin testing. Abnormal pulmonary function tests were obtained in 39.1% of patients and 26.1% of patients were diagnosed with asthma. CONCLUSIONS: There is a high prevalence of undiagnosed asthma in patients presenting to tertiary Rhinology care with moderate to severe allergic rhinitis symptoms. Screening lung function testing should be considered in this patient population.
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 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 | 0.000 |
| 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".