Call to action: integrating steatotic liver disease into public health strategies in Canada
Bibliographic record
Abstract
Steatotic liver disease (SLD), formerly known as fatty liver disease, is the most common chronic liver condition, affecting one in three people in the Americas, including Canada. Characterized by excess fat in the liver, SLD can progress from a benign state to advanced fibrosis and cirrhosis and is strongly linked to increased risks of cardiovascular disease, extra-hepatic cancers, and premature mortality. Despite its rising prevalence, SLD remains largely absent from Canada's public health agenda. With Canada's aging population, growing rates of obesity and type 2 diabetes, and ethnocultural diversity, the need for a coordinated public health response is urgent. We outline Canada's distinct SLD epidemiology and highlight critical gaps in surveillance, policy, clinical guidelines, screening, and public awareness. We also propose actionable strategies grounded in implementation science to guide the scale-up of effective interventions, thereby strengthening Canada's preparedness and mitigating long-term impacts.
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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 | 0.008 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".