P017 <break /> Clinical Characteristics of Interstitial Lung Disease Patients: Report from a Single Center Longitudinal Database
Bibliographic record
Abstract
Background: The interstitial lung diseases (ILDs) are a large group of disorders with heterogeneous clinical presentations and outcomes. The University of Calgary longitudinal ILD database was established to characterize the clinical characteristics and outcomes of ILD patients from a single center. Methods: Consecutive patients were prospectively enrolled in the longitudinal database between 2007 and 2013, with data collected up to May 2016. Baseline demographic features and autoimmune serology plus longitudinal lung function, 6-minute walk test and survival data were collected over follow-up time. Descriptive statistics were used to characterize the cohort. Results: Of 198 patients enrolled, 187 with complete records were included in this analysis with a mean follow-up duration of 4.7 (±2.6) years (Table). The mean age was 65 (±12.6) years with 56% of the cohort being female. Mean baseline forced vital capacity was 78% predicted (±20.9) and mean diffusion capacity of the lung for carbon monoxide was 60.3% predicted (±21.2). Eighty-one patients (43.3%) died and 5 (2.7%) underwent lung transplantation. Of the 187 patients, 79 (42.3%) had idiopathic pulmonary fibrosis, 58 (31.0%) had connective tissue-associated ILD, and 48 (25.67%) were unclassifiable. Of these, the differential diagnosis for 31 patients (65%) included idiopathic non-specific interstitial pneumonia vs. IPF.
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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 | 0.001 |
| 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) | 0.001 | 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".