Nodular pulmonary amyloidosis and Sjögren's syndrome in a patient treated with intermittent hemodialysis
Bibliographic record
Abstract
In the available literature, we have found the descriptions of 5 cases of nodular pulmonary amyloidosis associated with Sjögren's syndrome. In our practice, such a case has occurred in a patient with chronic renal failure. A 53-year-old woman underwent nephrological, rheumatological, and pulmonological examinations because of end-stage renal disease with a small cirrhotic kidney in renal ultrasound examination, pulmonary nodules, and xerophthalmia. Serological data revealed a slightly positive rheumatoid factor, antinuclear antibodies, anti-SS-A, anti-SS-B, and anti-RNP/Sm antibodies. Schirmer's test was positive on both sides and Sjögren's syndrome was recognized. Pulmonological examinations (the chest radiograph and CT scan, bronchofiberoscopy, culture of bronchial washings, bronchial biopsy, pleural effusion analysis, and a thick-needle biopsy) failed to determine the etiology of nodular changes in lungs. Immunofluorescence studies in the skin biopsy specimen showed IgM-positive staining. After 2 years of treatment with IHD, a toracoscopy was performed with enucleation of the nodules from the right lung. Histological examination showed massive deposits of amyloid, which allowed for a diagnosis of diffusive nodular pulmonary amyloidosis.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".