B-Cell Depletion With Rituximab in Patients With Primary Biliary Cirrhosis Refractory to Ursodeoxycholic Acid
Bibliographic record
Abstract
OBJECTIVES: Rituximab, an anti-CD20 monoclonal antibody that selectively depletes B cells, has shown promise in autoantibody-associated, immune-mediated disorders. As ursodeoxycholic acid (UDCA) is not successful in all patients with primary biliary cirrhosis (PBC), additional treatment options are necessary. The objective of this study was to assess the safety and efficacy of rituximab in patients with PBC refractory to UDCA. METHODS: Fourteen PBC patients refractory to UDCA received two rituximab infusions (1,000 mg) 2 weeks apart. The primary efficacy outcome was normalization and/or 25% improvement in serum alkaline phosphatase (ALP) concentration at 6 months. RESULTS: The median age was 53 years, and 92% were female and antimitochondrial antibody (AMA) positive. The median UDCA dosage was 15.3 mg/kg/day (interquartile range 14.5-17.8). Although rituximab was well tolerated, one patient withdrew due to an asthma exacerbation during the first infusion. Effective B-cell depletion was observed in the remaining 13 patients, including three that developed human anti-chimeric antibodies. ALP normalization and/or ≥ 25% improvement was observed in three patients (23%) at 6, 12, and 18 months. Significant reductions in median ALP (from 259 U/l at baseline to 213 U/l at 6 months; median decrease 16%), and serum IgM and AMA levels were observed at 6 months. Although fatigue was stable, pruritus improved in 60% of patients at 12 months (vs. 8% with worsening pruritus). CONCLUSIONS: Selective B-cell depletion with rituximab was safe and associated with a significant decrease in autoantibody production, but had limited biochemical efficacy in PBC patients with an incomplete response to UDCA.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".