The management of chronic hepatitis B: 2025 Guidelines update from the Canadian Association for the Study of the Liver and Association of Medical Microbiology and Infectious Disease Canada
Bibliographic record
Abstract
Chronic hepatitis B virus (HBV) infection poses significant public health challenges in Canada, particularly among newcomers from regions with high HBV prevalence. In alignment with the World Health Organization’s goal of HBV elimination by 2030, this 2025 guidelines update—developed jointly by the Canadian Association for the Study of the Liver (CASL) and the Association of Medical Microbiology and Infectious Disease (AMMI) Canada—presents recommendations for universal adult HBV screening, vaccination, laboratory assessment, and treatment. These guidelines emphasize patient-centred care, early diagnosis, and expanded antiviral treatment, including for individuals in the indeterminate or grey zone and special populations such as pregnant individuals, children, and those coinfected with HIV, hepatitis C, or hepatitis D. Notably, the guidelines recommend reflex HDV testing and routine use of quantitative HBsAg to support management decisions. These evidence-based recommendations are informed by expert consensus, recent literature, and international standards, with the aim of improving outcomes, reducing stigma, and informing future policy and research priorities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.009 | 0.005 |
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".