Evidence map›Paper›PMID 41209818›Full record

ReviewLancet regional health. Americas2025

Call to action: integrating steatotic liver disease into public health strategies in Canada.

Sahar Saeed, Jessica Burnside, Cindy Wen, Carmela Rapino, Keyur Patel, Alnoor Ramji, Mark Swain, Giada Sebastiani

Abstract readReview
In one paragraph

Review in Lancet regional health. Americas, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Sahar SaeedPublic Health Sciences, Queen's University, Kingston, Ontario, Canada.
Jessica BurnsidePublic Health Sciences, Queen's University, Kingston, Ontario, Canada.
Cindy WenPublic Health Sciences, Queen's University, Kingston, Ontario, Canada.
Carmela RapinoPublic Health Sciences, Queen's University, Kingston, Ontario, Canada.
Keyur PatelDivision of Gastroenterology and Hepatology, University Health Network Toronto, Toronto, Ontario, Canada.
Alnoor RamjiDivision of Gastroenterology, University of British Columbia, Vancouver, British Columbia, Canada.
Mark SwainCalgary Liver Unit, Cumming School of Medicine, University of Calgary, Alberta, Canada.
Giada SebastianiDivision of Gastroenterology and Hepatology, McGill University Health Centre, Montreal, Quebec, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Chronic liver diseaseMASLDPreventionPublic healthSteatotic liver disease

Identifiers

PMID41209818
PMCPMC12589910

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.