The dark side of pulmonary alveolar proteinosis
Bibliographic record
Abstract
BACKGROUND: Pulmonary alveolar proteinosis (PAP) has an unpredictable clinical course. Although usually benign, an association with pulmonary fibrosis is described in literature, with troubling therapeutic and prognostic implications. CLINICAL CASE: We report the case of a patient affected by autoimmune PAP who developed pleuro-parenchymal fibroelastosis (PPFE) after 6 years of disease and underwent bilateral lung transplantation due to end stage respiratory failure. CONCLUSION: Punctual descriptions of pulmonary fibrosis in PAP are still lacking and no predictors of fibrotic evolution of PAP are known. It is necessary to ensure a strict follow up in order to promptly recognize signs of fibrotic evolution and early refer patients with evolutive disease to lung transplant center. Moreover, an extended genetic analysis by targeted next-generation sequencing could provide high-resolution information that may allow the identification of susceptible patients in a pre-fibrotic stage of disease.
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 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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".