Prevalence and Impact of Lung Resection in Primary Ciliary Dyskinesia: a cohort and nested case-control study
Bibliographic record
Abstract
Rational Lung resection in Primary Ciliary Dyskinesia (PCD) is a controversial therapeutic modality. We aimed to assess the prevalence of lung resection in PCD across countries and compare disease course in lobectomised and non-lobectomised patients. Methods: In a study nested in the international iPCD cohort (n=2855), we identified lobectomised (cases) and non-lobectomised age, center and sex-matched (controls) PCD patients and compared their clinical characteristics, lung function and BMI cross-sectionally and longitudinally. Results: Data from 163 lobectomised PCD patients from 20 centers (15 countries) were available. The overall prevalence of lung resection in iPCD cohort was 5.7% (8.9% among adults), with wide variation among centers (range: 0% to 20%). Compared to the rest of iPCD cohort, lobectomised patients were more often females, older at diagnosis, and had more often situs solitus. Compared to controls (n=265), lobectomised patients had lower FVC (-2.15 vs -1.34, p<0.001) and FEV1 (-2.68 vs -1.96, p=0.002) z-scores at first post-lobectomy assessment and steeper lung function decline over time after lobectomy (FVC z-score slope: -0.04/year vs – 0.01/year, p=0.048, FEV1 z-score slope: -0.05/year vs -0.03/year, p=0.156). Among cases, females and patients with multiple lobe resections had significantly lower lung function. A minority of PCD patients demonstrated improvement of lung function after surgical intervention. Conclusion: Prevalence of lung resection in PCD varies widely between countries and is more frequent in patients with a delayed diagnosis. Most lobectomised PCD patients have poorer and steeper decline of lung function after intervention compared to controls.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".