P097 <break /> Interim Analysis of the EXCITING-ILD registry (Registry for Exploring Clinical and Epidemiological Characteristics of Interstitial Lung Diseases)
Bibliographic record
Abstract
Background: The epidemiologic knowledge on interstitial lung diseases (ILD) is limited. The multi-centre registry “EXCITING” collects data on characteristics, management and outcomes of all ILDs. Method: Since 10/2014 ILD patients are recruited prospectively. Results: Until 03/2016, 276 patients were included: 64% male, median age 64 years, 58% current/ex-smokers, symptoms >6 months before diagnosis: 51%. Medians: FVC 74%, DLCO 51%, GAP-ILD-Index 0-1 27%, 2-3 28%, 4-5 27%, 6-8 18%. Diagnostic procedures: 93% CT (47% HRCT), 73% BAL, 21% surgical-lung-biopsies; 57% multidisciplinary discussion. Patients had following diseases: IIP 45% (IPF 33%, NSIP 4%, DIP 2%, COP 3%, LIP 1%), hypersensitivity pneumonitis 14%, CTD-ILD 6%, pneumoconiosis 1%, sarcoidosis 21%, unclassifiable 6%, LAM 2%, drug-induced-ILD 3%, PAP 0.5%, eosinophilic pneumonia 0.5%, 2.9% familial forms. Relevant comorbidities: 24% GERD, 8% PH, 12% emphysema. Drug-therapies at baseline: Azathioprine 9%, Prednisolone 65%, NAC 12%, Pirfenidone 16%, Nintedanib 16%, Cyclophosphamide 4%, MTX 6%, MMF 2%, Rituximab 1%, ICS 14%, Sirolimus 1%, TNF-alpha-inhibitors 1%, clinical trials 5%. Further therapies: physiotherapy 3%, non-invasive ventilation 7%, long-term-oxygen 23%, inpatient pulmonary rehabilitation 5%; 0.4% listed for lung transplant. Hospitalisations within 6 months before inclusion: 52% (74% for ILD: pneumonia 12%, AE-ILD 19%, pneumothorax 2%). After 6 months follow-up: 25% hospitalisations (53% for ILD: 38% pneumonia), median relapse-free-survival (no decrease FVC ≥10%, or DLCO ≥15%, or death) is currently 24 months.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".