Multiple pulmonary nodules presenting a difficult diagnostic challenge
Bibliographic record
Abstract
We describe the case of a 56 years-old man with a subacute onset of symptoms mimicking a granulomatosis with polyangiitis. He was admitted to our hospital with acute respiratory failure requiring oxygen therapy, fever and crusted rhinitis. Despite initial improvement in radiological and clinical features with a steroids therapy, his condition worsened rapidly and he was re admitted to our department with ARDS. Despite antibiotic, antiviral and antifungal therapy, an endotracheal intubation was necessary and ultimately the patient passed away. Only a histological examination on autopsy had shown the presence of a diffuse Anaplastic Large Cell Lymphoma (ALCL), a rare type of non-Hodgkin lymphoma (NHL) originated from mature post-thymic T cells. It represents 1-3% of NHL. Different subtypes have been described: Kinase (ALK)-negative ALCL, ALK-positive ALCL and breast implantassociated ALCL. ALK-negative ALCL affects mainly old males and has the worst prognosis.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".