Potential of Denufosol as an Early Intervention Therapy for CF Lung Disease
Bibliographic record
Abstract
CF lung disease arises from ion transport defect. Disease origins in small airways before 1 yr of age necessitate early intervention. Denufosol (DEN), a novel chloride channel activator, stimulates Cl − transport, inhibits Na + absorption and increases ciliary beat frequency. A Phase 3, double‐blind, placebo (PL)‐controlled trial (TIGER‐1) was conducted in 352 CF pts to compare inhaled DEN 60 mg TID to PL for 24 wks. Pts were ≥ 5 yrs (mean 14.6 yrs) and had FEV 1 ≥ 75% predicted (mean 92%). Pulmonary function tests and exacerbations, QOL measures and systemic exposure of DEN were evaluated. This work examines endpoints relevant to DEN use as an early intervention agent. The ability to reach small airways was confirmed by significant improvement in FEF 25%–75% in pts ≤ 110% predicted FEV 1 (p=0.025). There was little to no systemic exposure to denufosol, no accumulation with chronic dosing, and no evidence of systemic AEs including liver enzyme levels, blood biochemistry and differential cell counts. DEN's mechanism of action addressing the basic defect, the lack of systemic exposure and ability to target small airways makes this a potentially promising therapy for early intervention in CF lung disease.
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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 | 0.001 |
| 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 | 0.001 | 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".