Flares during long‐term entecavir therapy in chronic hepatitis B
Bibliographic record
Abstract
BACKGROUND AND AIM: The incidence and consequences of flares during first-line nucleos(t)ide analogue therapy are largely unknown. We aimed to investigate the incidence and outcome of alanine aminotransferase (ALT) flares during long-term entecavir (ETV) in chronic hepatitis B (CHB). METHODS: CHB patients treated with ETV monotherapy from 11 European centers were studied. Flare was defined as > 3× increase in ALT compared with baseline or lowest on-treatment level and an absolute ALT > 3× ULN. Flares were designated as host-induced (preceded by hepatitis B virus (HBV)-DNA decline), virus-induced (HBV-DNA increase), or indeterminate (stable HBV-DNA). RESULTS: Seven hundred and twenty-nine patients were treated with ETV for median of 3.5 years. Thirty patients developed a flare with cumulative incidence of 6.3% at year 5. Baseline hepatitis B e antigen (HBeAg)-positivity (HR 2.84; P = 0.005) and high HBV-DNA (Hazard ratio (HR) 1.30; P = 0.003) predicted flares. There were 12 (40%) host-induced, 7 (23%) virus-induced, and 11 (37%) indeterminate flares. Host-induced flares occurred earlier than virus-induced (median: 15 vs 83 weeks; P = 0.027) or indeterminate flares (15 vs 109 weeks; P = 0.011). Host-induced flares were associated with biochemical remission, and HBeAg (n = 3) and hepatitis B surface antigen (n = 2) seroconversions were exclusively observed among patients with these flares. Virus-induced flares were associated with ETV resistance (n = 2) and non-compliance (n = 1). CONCLUSION: The incidence of ALT flares during ETV was low in this real-life cohort. ETV can be safely continued in patients with host-induced flares. Treatment adherence and drug resistance must be assessed in patients with virus-induced flares.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".