Chronic Sialadenitis revealing hepatitis C: a case report.
Bibliographic record
Abstract
One 53-year-old male was referred with a history of sensitive peripheral neuropathy and Raynaud disease leading to suspect a Sjögren syndrome (SS). Labial salivary gland biopsy shown the classical features of chronic lymphocytic sialadenitis. As clinical and immunologic tests were positive, we conclude to a chronic lymphocytic sialadenitis simulating SS. Enzyme immunoassay and recombinant immunoblot were positive to HCV. Circulating HCV-RNA was detected by PCR. Liver biopsy revealed chronic persistent hepatitis. In one second biopsy, RNA was extracted. PCR amplification and southern blot hybridization for HCV-RNA were performed. After a 8-month treatment by interferon alpha, HCV-RNA was no longer detected in the serum. There was an objective improvement of the Schirmer test. The detection of HCV-RNA in the salivary glands of a Sjögren like syndrome-patient suggests that a direct infection of the salivary glands by HCV could play an important role in the pathogenesis of HCV related sialadenitis.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.002 |
| 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".