Early hepatitis B virus DNA reduction in hepatitis B e antigen–positive patients with chronic hepatitis B
Bibliographic record
Abstract
UNLABELLED: This study was undertaken to compare the early antiviral activity and viral kinetic profiles of entecavir (ETV) versus adefovir (ADV) in hepatitis B e antigen positive nucleoside-naïve adults with chronic hepatitis B (CHB). Sixty-nine nucleoside-naïve CHB patients with baseline HBV DNA of 10(8) copies/mL or more were randomized 1:1 to open-label treatment with entecavir 0.5 mg/day or adefovir 10 mg/day for a minimum of 52 weeks. The primary efficacy analysis compared mean reduction in HBV DNA at week 12 adjusted for baseline levels using linear regression. Entecavir was superior to adefovir for mean change from baseline in HBV DNA at week 12 (-6.23 log(10) copies/mL versus -4.42 log(10) copies/mL, respectively; mean difference -1.58 log(10) copies/mL; P < 0.0001). Both drugs demonstrated biphasic viral kinetics, with a first phase of rapid decline lasting 10 days. A significant difference favoring ETV was reached at day 10 (day 10 ETV-ADV difference estimate: -0.66 log(10) copies/mL; 95% CI [-0.30, -0.01]). Early virological response was found to be predictive of subsequent virological response, with those having lower HBV DNA levels at day 10 being more likely to achieve HBV DNA of less than 300 copies/mL at week 48. In addition, there was considerably less variability in the extent of HBV DNA reductions in patients treated with entecavir versus adefovir. Both the mean decrease in serum HBV DNA and the proportion of patients achieving HBV DNA less than 300 copies/mL were greater in entecavir-treated than adefovir-treated patients at weeks 2, 4, 8, 12, 24, and 48. At week 48, one (3%) ETV-treated versus 15 (47%) ADV-treated patients had HBV DNA of 10(5) copies/mL or more. Both antivirals were well tolerated. CONCLUSION: Entecavir therapy resulted in earlier and superior reduction in HBV DNA compared with adefovir in nucleoside-naïve HBeAg-positive patients with CHB.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".