The prevalence of CFTR mutations in patients with chronic rhinosinusitis: A systematic review and meta‐analysis
Bibliographic record
Abstract
OBJECTIVES: Undetected cystic fibrosis transmembrane regulator (CFTR) mutations may predispose individuals to develop CRS independent of formal CF diagnosis. The objective of this study was to determine the prevalence of CFTR mutations among individuals with CRS. DESIGN: A systematic search following PRISMA guidelines was performed. A meta-analysis was performed to calculate pooled estimates for the prevalence of any CFTR mutation and for the DF508 mutation. SETTING AND PARTICIPANTS: The systematic search included all studies identifying adults diagnosed with CRS, with no limitation to region or publication date. Studies had to identify a sample of patients previously diagnosed with CRS but not with CF and reporting testing for the prevalence of CF or the CFTR gene mutation. MAIN OUTCOME MEASURES: Prevalence of CFTR mutations among the general CRS population, with subgroup analysis of individuals with the dF508 mutation. RESULTS AND CONCLUSIONS: The 6 included studies represented five countries: the United States, the UK, France, Poland and Finland. The pooled prevalence of CFTR mutations of any kind in CRS subjects without CF was 5.65% (RE 95% CI 2.99 - 10.41). The overall prevalence for the dF508 mutation was 4.22% (RE 95% CI 1.71 - 10.07). These estimates were significantly higher than the baseline estimated prevalence of CFTR carrier status of 3%-4% in the general population. However, the clinical relevance of the presence of CFTR mutations in CRS patients who have not been diagnosed with CF is currently unclear. Future studies should include sweat chloride testing as a measure of CFTR function.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.010 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".