Improved diagnoses of autoimmune hepatitis using an anti‐actin ELISA
Why this work is in the frame
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Bibliographic record
Abstract
The presence of antismooth muscle antibodies is one of the diagnostic criteria of autoimmune hepatitis. We evaluated a new anti-F-actin ELISA test and compared it with indirect immunofluorescence assay (IIFA) for antismooth muscle antibodies (ASMA). Two hundred and nine serum samples (35 autoimmune hepatitis, 174 other hepatopathies and control sera) were tested by IIFA on mouse stomach kidney sections for ASMA and by the Quanta Lite Actin ELISA for anti-F-actin antibodies. ASMA were detected in 26 of 35 sera from autoimmune hepatitis (74%) as compared with 25 (71%) with anti-actin antibodies, as well as in 25 of 49 (51%) samples from viral hepatitis as compared with 7 (14%) with anti-actin antibodies. With regards to autoimmune hepatitis, though sensitivity (74.3 vs 71.4%) and negative predictive value (93.5 vs 93.9%) of ASMA and anti-actin ELISA were comparable, anti-actin ELISA was significantly better than ASMA IIFA in terms of specificity (89.7 vs 74.7%), and positive predictive value (58.1 vs 37.1%). Although frequently positive in HCV samples, a comparable sensitivity but better specificity makes the anti-actin ELISA a useful tool in combination with ASMA IIFA for the screening and diagnosis of autoimmune hepatitis.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it