Technical systematic review supporting the 2025 AASLD Practice Guideline on management of chronic hepatitis B
Bibliographic record
Abstract
BACKGROUND AND AIMS: With rapid changes in the management landscape of chronic hepatitis B (CHB), this technical systematic review addresses 4 critical Population, Intervention, Comparator, Outcome (PICO) questions to provide guidance to the formulation of recommendations to the 2025 AASLD practice guideline for management of CHB. APPROACH: The review was reported in accordance with PRISMA guidelines. Outcomes were evaluated across 4 key PICOs: (1) antiviral therapy for prevention of horizontal HBV transmission in high-risk groups, (2) antiviral therapy versus observation for persons in the immune-tolerant phase, (3) discontinuation versus continuation of nucleos(t)ide analogue therapy in HBeAg-negative individuals with undetectable HBV DNA, and (4) hepatocellular carcinoma (HCC) surveillance in non-cirrhotic individuals with HBsAg clearance or co-infections with HCV, HDV, or HIV. RESULTS: For PICO 1, limited evidence suggests antiviral therapy may reduce horizontal transmission risk, though with low certainty. PICO 2 analyses reveal uncertain benefits of treating persons in the immune-tolerant phase, with very low certainty due to heterogeneity and bias. PICO 3 analyses demonstrate that discontinuing antiviral therapy in persons who are HBeAg negative with undetectable HBV DNA increases HBsAg loss rates (OR: 12.65, 95% CI: 1.58-101.51) but carries moderate risks of virologic relapse (OR: 47.17, 95% CI: 2.79-797.35) and clinical flares. PICO 4 analyses on several cohort studies showed that in patients co-infected with HCV, HBV, or HIV, the annual incidence of HCC was higher than the level where screening becomes cost-effective, suggesting that regular liver cancer screening could be beneficial for these patients. CONCLUSIONS: Despite low certainty, the findings support shared decision-making in high-risk horizontal transmission scenarios or in treating individuals in the immune tolerance phase, caution in discontinuing antiviral therapy in virologically suppressed individuals without HBsAg loss, and tailored HCC surveillance for those with co-infection or cirrhosis.
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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 | 0.156 | 0.368 |
| Meta-epidemiology (narrow) | 0.003 | 0.004 |
| Meta-epidemiology (broad) | 0.011 | 0.021 |
| Bibliometrics | 0.014 | 0.014 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.009 | 0.007 |
| Research integrity | 0.011 | 0.006 |
| Insufficient payload (model declined to judge) | 0.024 | 0.006 |
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".