Treating connective tissue disease-associated interstitial lung disease – think outside the box: a perspective
Bibliographic record
Abstract
Connective tissue disease-associated interstitial lung disease is one of the most common subtypes of interstitial lung disease, which is a leading cause of morbidity and mortality in patients with these systemic autoimmune rheumatic diseases. A spectrum of disease trajectories exists within individual and across different connective tissue diseases. In individuals with connective tissue diseases who are at risk or at the early asymptomatic stage with interstitial lung changes, we have potential windows of opportunity for interventions to prevent the development of or progression to interstitial lung disease. In this perspective, we use systemic sclerosis and rheumatoid arthritis as sample cases to discuss emerging knowledge on disease pathogenesis, as well as to apply the preventative medicine concept for pharmacotherapeutic approaches at different disease stages of connective tissue disease-associated interstitial lung disease.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".