Antibodies to soluble liver antigen in patients with various liver diseases: A multicentre study
Bibliographic record
Abstract
BACKGROUND: Antibodies to soluble liver antigen (anti-SLA) are specific serological markers of autoimmune hepatitis (AIH). The clinical significance and frequency of anti-SLA have never been reported among AIH patients from Italy and Turkey. To retrospectively assess the estimated prevalence, sensitivity, specificity and clinical significance of anti-SLA in AIH and various liver diseases. METHODS: A total of 986 patients who had been tested for serum anti-SLA were included in study. The presence of anti-SLA was detected using recombinant enzyme linked immunosorbent assay and immuno-blot. The general characteristics and outcome of patients were obtained from their medical records. RESULTS: Antibodies to SLA were found in 30 (3%) of 986 patients. Of these, 27 (90%) had AIH and its variants, whereas the remaining three (10%) had primary biliary cirrhosis. The prevalence of anti-SLA was 9% in AIH patients from Italy and 15% in patients from Turkey. The specificity of these antibodies was 99.5%, whereas sensitivity was 11%. The positive predictive and negative predictive values were 90% and 77.5% respectively (95% confidence interval). Biochemical remission was achieved in 90% of anti-SLA positive AIH patients, but relapse after immunosuppressive withdrawal or during maintenance therapy was observed in 53% of the patients. CONCLUSIONS: Seropositivity for anti-SLA occurs at similar frequencies in AIH patients from different geographical regions and ethnic groups. The sensitivity of anti-SLA is low, but it has high specificity for AIH. Additional studies are necessary to prove clinical significance of anti-SLA in AIH.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".