Management of immune-tolerant chronic hepatitis B
Bibliographic record
Abstract
The immune-tolerant (IT) phase of chronic hepatitis B is a distinct stage of infection, characterized by high HBV replication, normal ALT levels, and minimal liver inflammation. Despite its classification as a benign phase, growing evidence challenges this notion, revealing immune activation, HBV DNA integration, and potential oncogenic processes even in the absence of elevated ALT. The IT phase's prolonged high viral replication raises concerns about its implications for HCC risk. Histological studies show that significant inflammation and fibrosis may exist in patients meeting IT criteria, suggesting that the current definitions may underestimate disease activity. Treatment during the IT phase remains controversial, with international guidelines largely recommending against antiviral therapy due to its limited efficacy and potential risks. However, subsets of IT patients may benefit from early intervention. The risks and benefits of therapy in IT chronic hepatitis B are not fully understood, and the lack of consensus regarding treatment thresholds further complicates clinical decision-making. This review highlights the importance of redefining IT chronic hepatitis B to include virological and histological parameters and calls for long-term studies to clarify the role of therapy in reducing fibrosis progression and HCC risk. A more precise understanding of the IT phase is essential to balance the risks of treatment against its potential benefits and to inform future therapeutic strategies.
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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) | 0.000 | 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".