Diagnostic Disparity of Previous and Revised American Thoracic Society Guidelines for Idiopathic Pulmonary Fibrosis
Bibliographic record
Abstract
BACKGROUND: A revised guideline for the diagnosis of idiopathic pulmonary fibrosis (IPF) was formulated by the American Thoracic Society (ATS) in 2011 to improve disease diagnosis and provide a simplified algorithm for clinicians. The impact of these revisions on patient classification, however, remain unclear. OBJECTIVE: To examine the concordance between diagnostic guidelines to understand how revisions impact patient classification. METHODS: A cohort of 54 patients with either suspected IPF or a working diagnosis of IPF was evaluated in a retrospective chart review, in which patient data were examined according to previous and revised ATS guidelines. Patient characteristics influencing the fulfillment of diagnostic criteria were compared using one-way ANOVA and χ(2) tests. RESULTS: Revised and previous guideline criteria for IPF were met in 78% and 83% of patients, respectively. Revised guidelines modified a classification based on previous guidelines in 28% of cases. Fifteen percent of patients meeting previous ATS guidelines failed to meet revised criteria due to a lack of honeycombing on high-resolution computed tomography and the absence of a surgical lung biopsy. Patients failing to meet previous and revised diagnostic criteria for IPF were younger. CONCLUSION: The revised guidelines for the diagnosis of IPF classify a substantial proportion of patients differently than the previous guidelines.
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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 | 0.002 |
| 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) | 0.000 | 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".