Sequential presentation of primary biliary cirrhosis and autoimmune hepatitis
Bibliographic record
Abstract
BACKGROUND: Primary biliary cirrhosis (PBC)-autoimmune hepatitis (AIH) overlap syndrome is used to describe the coexistence of both diseases, with either a sequential or a simultaneous presentation in the same patient. Available studies have focused on the simultaneous form, whereas there is limited information on sequential PBC-AIH. We carried out a retrospective study of patients who sequentially developed PBC-AIH overlap syndrome. METHODS: The medical data of 1065 patients diagnosed with PBC (n=483) and AIH (n=582) were retrospectively analyzed. RESULTS: A sequential development of PBC-AIH was observed in 19 (1.8%) patients after a mean of 6.5 (1-14) years of follow-up. AIH developed in 12 (2.5%) PBC patients, whereas PBC occurred in seven (1.2%) patients with AIH. The baseline serologic and histological findings of patients who developed PBC-AIH were similar to those of patients with typical PBC or AIH. Eighteen patients were treated with a combination of ursodeoxycholic acid (UDCA) and immunosuppression after the diagnosis of PBC-AIH was established. One patient showed a spontaneous resolution of hepatitic flare under UDCA therapy. Biochemical remission was achieved in 16 patients, whereas three progressed to decompensated cirrhosis and required liver transplantation. CONCLUSION: The sequential overlap of PBC-AIH can occur during the follow-up of patients with pure PBC or AIH. In our cohort, we could not identify any factors that predicted the development of this rare condition. The combination of UDCA and immunosuppression seems to be an appropriate therapy in the setting of PBC-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 | 0.000 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".