Antimitochondrial antibody profiles: are they valid prognostic indicators in primary biliary cirrhosis?
Bibliographic record
Abstract
OBJECTIVE: Retrospective studies have reported that subtypes of antimitochondrial antibodies (AMAs) discriminate between a benign and a progressive course in patients with primary biliary cirrhosis (PBC). Four AMA profiles (A-D) were defined: profiles A and B associated with a benign course and C and D with a progressive course. We aimed to confirm whether AMA profiles predict prognosis in a large sample of North American patients with PBC. METHODS: Stored pretreatment sera from patients with PBC from two centers were tested for AMA profiles using standard techniques. Proportions of patients in each profile group reaching the endpoints of liver transplantation or death from liver disease were compared. Kaplan-Meier curves were constructed comparing AMA profiles. RESULTS: All 472 patients studied had AMA positive, biopsy-confirmed PBC. Mean age at diagnosis was 53 yr, 90% were female, mean follow-up was 7.6 yr (range = 0.5-23), and 51% received ursodeoxycholic acid for >6 months. Profile A was not detected; 16.7% had profile B; 51.1%, profile C; and 32.2%, profile D. Duration of follow-up was comparable among the different profile groups. The proportions of patients reaching endpoints of death from liver disease or transplantation did not differ among the AMA profiles. No difference in the Kaplan-Meier curves between the different profile groups was observed (p > 0.05). CONCLUSION: AMA profiles do not predict prognosis in patients with PBC.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".