Developing a non-invasive algorithm for the diagnosis of steatotic liver disease in primary healthcare: a retrospective cohort study

We developed two predictive models for SLD screening in a Chilean cohort. Both showed strong performance and potential for implementation in primary care to support early detection and better disease management.

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Publication Details

Journal
BMJ Health & Care Informatics
Published
2025-12-01
DOI
https://doi.org/10.1136/bmjhci-2025-101620
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Developing a non-invasive algorithm for the diagnosis of steatotic liver disease in primary healthcare: a retrospective cohort study

Macarena Garrido, Andrea Huidobro, Claudio Vargas, Francisco Barrera et al.
BMJ Health & Care Informatics
Liver Disease Diagnosis and Treatment
article

Developing a non-invasive algorithm for the diagnosis of steatotic liver disease in primary healthcare: a retrospective cohort study

Macarena Garrido, Andrea Huidobro, Claudio Vargas, Francisco Barrera, Ilona Argirion, Danilo Alvares, Juan Pablo Arab, María Spencer-Sandino, Marco A. Arrese, Felipe Elorrieta, Jill Koshiol, Catterina Ferreccio, Daniel Cabrera, Claudia Marco, Franco Godoy
article en

Abstract

We developed two predictive models for SLD screening in a Chilean cohort. Both showed strong performance and potential for implementation in primary care to support early detection and better disease management.

BMJ Health & Care InformaticsVol. 32(1)
Universidad de Santiago de Chile (CL), Pontificia Universidad Católica de Chile (CL), Georgetown University (US), Virginia Commonwealth University (US), Universidad de Los Andes, Chile (CL), University of Cambridge (GB), Catholic University of the Maule (CL), Georgetown University Medical Center (US), Universidad Bernardo O'Higgins (CL), Instituto de Salud Pública de Chile (CL), Hospital Dipreca (CL), MRC Biostatistics Unit (GB), National Cancer Institute (US), Division of Cancer Epidemiology and Genetics
Agencia Nacional de Investigación y Desarrollo, Fondo Nacional de Desarrollo Científico y Tecnológico, Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias
Openalex Percentile: Top 48%
Liver Disease Diagnosis and Treatment
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