Fractional exhaled nitric oxide concentration is increased in asbestosis and pleural plaques
Bibliographic record
Abstract
OBJECTIVE AND BACKGROUND: Asbestos exposure induces generation of reactive oxygen and nitrogen species. Nitric oxide is involved in asbestos-related lung toxicity in vitro and can be measured non-invasively in humans in exhaled breath. The authors hypothesized that fractional exhaled nitric oxide concentration (FENO) would be increased in subjects with asbestos-related lung disorders. METHODS: FENO was measured in 56 subjects with asbestos-related disorders (asbestosis: 12; pleural plaques: 32; asbestos-related diffuse pleural thickening: 12) and in 35 normal subjects. The authors also measured exhaled carbon monoxide, another marker of lung inflammation. RESULTS: Median (25-75 percentile) FENO was increased in subjects with asbestosis (7.9 (6.6-15.7) p.p.b.; P=0.001) and pleural plaques (6.3 (5.3-9) p.p.b.; P=0.03) compared with normal controls (4.6 (3.5-6) p.p.b.). Subjects with DPT had a median FENO of 5.6 p.p.b., similar to controls. No significant differences in exhaled carbon monoxide were observed between controls (1.0+/-0.3 p.p.m.) and subjects with asbestosis (1.3+/-0.3 p.p.m.), pleural plaques (1.2+/-0.3 p.p.m.) or diffuse pleural thickening (1.1+/-0.3 p.p.m.). CONCLUSIONS: FENO is raised in asbestosis consistent with lung inflammation, and also in pleural plaques.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".