Rhinosinusitis symptoms, smoking and <scp>COPD</scp>: Prevalence and associations
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE (S): To estimate the prevalence and associations among rhinosinusitis symptoms, smoking and chronic obstructive pulmonary disease (COPD). DESIGN: Cross-sectional study. SETTING: Population-based. PARTICIPANTS: All adults aged 40 years or more living in the selected households in the city of Florianópolis (Florianópolis, Santa Catarina, Brazil). MAIN OUTCOME MEASURES: Assessment instruments comprised household interviews, anthropometric measurements and spirometry. Rhinosinusitis symptoms were based on the responses to the 22-item Sinonasal Outcome Test (SNOT-22) questionnaire; smoking status was defined by the criteria of the CDC, and the functional diagnosis of COPD was done by spirometry. RESULTS: The prevalence (n = 1056) of rhinosinusitis symptoms, smoking and COPD was 14.7%, 17.9% and 8.7%, respectively. Multivariate analysis showed that, with the exception of COPD, all other clinical variables (smoking, previous diagnosis of rhinitis, previous diagnosis of gastritis/ulcer/gastroesophageal reflux, and symptoms of depression) remained associated with higher prevalence of rhinosinusitis symptoms. CONCLUSIONS: Rhinosinusitis symptoms were common both in smokers and in patients with COPD. However, only tobacco was significantly associated with rhinosinusitis symptoms and can act as a cofounder in the association between COPD and rhinosinusitis symptoms.
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.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it