Current approach to connective tissue disease-associated interstitial lung disease
Bibliographic record
Abstract
PURPOSE OF REVIEW: To review current approaches to the complex intersection of interstitial lung disease (ILD) with the spectrum of connective tissue disease (CTD). RECENT FINDINGS: There is a growing appreciation that the approach to CTD-associated ILD (CTD-ILD) can be enhanced by a multidisciplinary evaluation that often incorporates the rheumatologist. Determining that ILD is associated with an established CTD requires the exclusion of alternative causes and thorough assessments of the clinical features of both the CTD and ILD. The detection of occult CTD in patients with presumed 'idiopathic' disease requires careful attention to the demographic profile, historical clues, subtle physical examination findings, specific autoantibody positivity, radiologic, and histopathologic features. A comprehensive treatment program for CTD-ILD should address comorbid conditions and consider implementation of adjunctive therapeutic strategies. Pharmacologic intervention for CTD-ILD is reserved for those with progressive, clinically significant disease and typically involves use of immunosuppressive therapies. SUMMARY: A multidisciplinary approach can be helpful for CTD-ILD. Further research and controlled trials are needed to determine how to best manage the diverse spectrum of CTD-ILD.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".