Progressive fibrosing interstitial lung disease: treatable traits and therapeutic strategies
Bibliographic record
Abstract
PURPOSE OF REVIEW: In this review, the authors describe therapeutic strategies for a disease group called progressive fibrosing interstitial lung disease (PF-ILD) and highlight the importance of the definition of progression, prognosis, and treatment response. RECENT FINDINGS: Although it is a relatively new concept, the term PF-ILD has been increasingly applied in clinical research and practice. Three domains commonly used to detect the disease progression include clinical symptoms, rate of forced vital capacity (FVC) decline and the extent of fibrosis on imaging. Although details of the pathogenesis of PF-ILD are still unclear, it has become apparent that genetic predisposition and an abnormal tissue microenvironment and host response are involved in the nature of the disease. Antifibrotic agents recently showed their efficacy on the treatment of PF-ILD. Both nintedanib and pirfenidone can slow the disease progression, as defined by a decline of FVC from baseline, of PF-ILD whenever compared with placebo, similar to the results in idiopathic pulmonary fibrosis (IPF) trials. This effect seems consistent irrespective of the underlying ILD diagnosis. SUMMARY: Recent evidence supports the use of antifibrotic therapy in the management of the phenotype progressive non-IPF ILD. Ongoing studies exploring genetic and other molecular biomarkers could identify at-risk individuals or predict treatment response and prognosis (endotypes). This would support the concept of 'treatable traits' in the field of ILD.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 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 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".