Prevalence of autoimmune liver disease in Alaska natives
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: There is limited information on the prevalence of autoimmune liver disease in nonwhite populations. We conducted a population-based study on the prevalence of autoimmune liver diseases in Alaska natives. METHODS: Clinical records from 1984 to July, 2000 were reviewed to identify Alaska natives with autoimmune hepatitis (AIH), primary biliary cirrhosis (PBC), primary sclerosing cholangitis, autoimmune cholangitis, and overlap syndromes of two of the above. AIH was defined as definite or probable, based on criteria established by the International Autoimmune Hepatitis Group. The diagnosis of PBC was based on a positive antimitochondrial antibody of > or = 1: 40, biochemical evidence of cholestasis, and compatible liver biopsy. Autoimmune cholangitis was defined as PBC but without a positive antimitochondrial antibody. Primary sclerosing cholangitis was diagnosed on the basis of cholangiogram. RESULTS: Seventy-seven patients with possible autoimmune liver disease were identified. Of these, 42 had definite and seven probable AIH. At presentation, 34.7% of patients with AIH presented with acute icteric hepatitis, and 65.3% were asymptomatic. Persons presenting with mild or no symptoms were more likely to have moderate to severe fibrosis on liver biopsy than those presenting with jaundice. Eighteen persons were diagnosed with PBC, five with autoimmune cholangitis, five with overlap syndrome, and none with primary sclerosing cholangitis. The combined point prevalence of AIH Alaska natives was 42.9/100,000 (95% CI = 31-57.7). The prevalence of PBC was 16/100,000 (95% CI = 12.9-25.4). CONCLUSIONS: This population-based study demonstrates that the prevalence rates of AIH and PBC in Alaska natives are comparable with reported rates in other populations.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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