Combination of Entecavir/Peginterferon Alfa‐2a in Children With Hepatitis B e Antigen–Positive Immune Tolerant Chronic Hepatitis B Virus Infection
Bibliographic record
Abstract
The optimal management strategy for children with immune‐tolerant chronic hepatitis B virus (HBV) infection remains unknown. The purpose of this clinical trial was to determine the safety and efficacy of therapy with entecavir and peginterferon in a group of children in the immune‐tolerant phase of HBV infection. Children with immune‐tolerant features of chronic hepatitis B (CHB) received entecavir once‐daily in a dose of 0.015 mg/kg (0.5 mg maximum) for 48 weeks; peginterferon alfa‐2a (180 µg/1.73m 2 subcutaneously) once‐weekly was added at the end of week 8 and continued until week 48. The primary endpoint was lack of detectable hepatitis B e antigen (HBeAg) with HBV DNA levels ≤1,000 IU/mL 48 weeks after stopping therapy. Sixty children (75% female), median age 10.9 (range, 3.4‐17.9) years, were enrolled. All were positive for hepatitis B surface antigen (HBsAg) and HBeAg and had high levels of HBV DNA with normal or minimally elevated levels of alanine aminotransferase (ALT). Fifty‐five children completed the entire 48‐week course of therapy. At 48 weeks after treatment ended (week 96), 2 children (3%) achieved the primary endpoint and were also HBsAg negative and anti–hepatitis B surface antigen antibody (anti‐HBs) positive. One child was HBeAg positive but HBsAg negative at week 60; another was HBeAg negative but HBsAg positive at week 72, which were their last clinic visits. In the remaining children, serum ALT and HBV DNA levels at week 96 were similar to baseline. Thirty‐seven children experienced adverse events (AEs), and 1 had a serious AE (SAE). Conclusion: The combination of entecavir and peginterferon for up to 48 weeks rarely led to loss of HBeAg with sustained suppression of HBV DNA levels in children in the immune‐tolerant phase of HBV infection, and treatment was associated with frequent AEs.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".