Epidemiology and natural history of chronic Hepatitis B in the Canadian province of Alberta from 2012 to 2021: A population-based study
Bibliographic record
Abstract
INTRODUCTION AND OBJECTIVES: There are limited recent data on the burden of chronic hepatitis B (CHB) in the North American general population. We aimed to identify the CHB burden from a Canadian population-based perspective. PATIENTS AND METHODS: Using a retrospective cohort design, we searched Alberta Analytics administrative databases including the Provincial Laboratory database, to describe CHB epidemiology and natural history in Alberta, Canada between fiscal years 2012-2020. We analyzed incidence and prevalence trends using a Poisson regression model and conducted Kaplan-Meier analyses to examine the incident cohort's survival. RESULTS: The age/sex-adjusted incidence of CHB between 2015-2020 was 27.1/100,000 person/years (29.6/100,000 in males and 24.5/100,000 in females) and was highest among individuals aged 45-64 years. Despite a decrease in annual incidence of CHB from 36.4 to 13.4/100,000 between 2015-2020, prevalence increased from 98.9 to 210.3/100,000 in the same period. Of 6,860 incident cases, 2.1% died, and 0.2% underwent liver transplantation during a median follow-up of 3.6 years (interquartile range 2.0-4.9 years). CHB patients had significantly lower survival rates compared to age/sex-matched Canadians, with a standardized mortality ratio of 3.9 (95% confidence interval [CI] 3.3-4.6). Male sex (hazard ratio [HR] 1.7; 95% CI 1.2-2.5), older age at diagnosis (HR, 1.08; 95% CI 1.07-1.09) independently predicted mortality. CONCLUSIONS: CHB incidence decreased in Alberta, which is consistent with nationwide trends. Males and individuals aged 45-64 had higher CHB incidence and prevalence. CHB patients' lower survival rates emphasize the need to address barriers to guideline recommended HBV care linkage.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".