New trajectories in the treatment of interstitial lung disease
Bibliographic record
Abstract
PURPOSE OF REVIEW: A subset of patients with interstitial lung diseases (ILDs), such as rheumatoid arthritis (RA)-associated ILD and chronic hypersensitivity pneumonitis, will experience a disease course similar to patients with idiopathic pulmonary fibrosis (IPF). They also often have a usual interstitial pneumonia (UIP) pattern of fibrosis. Although the standard of care for patients with RA-ILD and chronic hypersensitivity pneumonitis is immunosuppression, the optimal treatment for patients with progressive disease and a UIP pattern remains unknown. RECENT FINDINGS: Recent research has highlighted shared risk factors, disease behavior and pathobiology between RA-ILD, chronic hypersensitivity pneumonitis and IPF. The presence of a UIP pattern, in both RA-ILD and chronic hypersensitivity pneumonitis, is associated with a worse prognosis. Moreover, genetic risk factors, previously well characterized in IPF, are increasingly being linked to RA-ILD and chronic hypersensitivity pneumonitis. The MUC5B promoter variant rs5705950, telomerase complex mutations and short telomere lengths are also linked to an increased susceptibility to pulmonary fibrosis in RA and chronic hypersensitivity pneumonitis. SUMMARY: IPF shares several clinical, genetic and biological features with other ILDs exhibiting the UIP pattern. The optimal pharmacologic management of these patients remains uncertain. Several ongoing trials are evaluating the efficacy of antifibrotic medications in these other diagnoses and may change how we approach ILD treatment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".