Metabolic Dysfunction–Associated Steatotic Liver Disease (MASLD): Screening and Management Across the Care Continuum

A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "Public Health and Preventive Medicine".

Deadline for manuscript submissions: 31 October 2026 | Viewed by 876

Editor


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Guest Editor
Department of Medicine, University of California San Francisco, San Francisco, CA 94121, USA
Interests: chronic liver disease; MASLD; non-invasive fibrosis screening; clinical epidemiology

Special Issue Information

Dear Colleagues,

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most prevalent chronic liver disease worldwide and a major contributor to progressive liver fibrosis, cirrhosis, and liver-related morbidity and mortality. MASLD commonly affects individuals with metabolic risk factors such as diabetes and obesity and often progresses silently, remaining underdiagnosed in routine clinical practice. Recent advances in non-invasive screening tools, improved understanding of disease progression, and the emergence of effective therapeutic options highlighted the need for optimized strategies to identify at-risk patients and deliver timely, coordinated care. Addressing these challenges requires an integrated approach spanning primary care, specialty care, and health systems, optimizing the implementation of MASLD guidelines.

We are pleased to invite clinicians and researchers to contribute to this Special Issue, which aims to highlight advances in MASLD screening and management across the full care continuum, from primary care-based risk assessment to specialty care and advanced disease management. The Special Issue’s scope focuses on clinically relevant and observational studies that inform best practices in the diagnosis, risk stratification, and management of MASLD, with approaches that integrate care across primary care, endocrinology, cardiology, and hepatology settings and advance patient outcomes in MASLD.

We welcome original full-length articles, systematic reviews, narrative reviews, and implementation studies. Research areas may include, but are not limited to, the following:

  • Screening strategies for MASLD in populations with metabolic risk factors including diabetes and obesity;
  • Implementation of non-invasive tools and diagnostic predictors for fibrosis risk stratification and disease monitoring;
  • Integrated, multidisciplinary care models for MASLD from primary care, endocrinology, cardiology, and hepatology;
  • Referral pathways, care coordination, and health system interventions to improve MASLD diagnosis and treatment;
  • Real-world outcomes and implementation studies evaluating MASLD guidelines and care pathways.

We look forward to receiving your contributions.

Dr. Mohsen Merati
Guest Editor

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Keywords

  • MASLD
  • non-invasive fibrosis assessment
  • screening and risk stratification
  • primary care management
  • integrated care models
  • care continuum and referral pathways
  • real-world implementation
  • metabolic comorbidities

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Published Papers (1 paper)

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Research

15 pages, 1293 KB  
Article
Association Between Depressive Symptoms and Risk of New-Onset Chronic Liver Disease Among Middle-Aged and Elderly Chinese Adults: A Prospective Cohort Study Based on the China Health and Retirement Longitudinal Study
by Tiancheng Meng, Yanling Jiang, Guolin Guo, Jianteng Dong, Xiaofan Lai, Jiale Liu, Hongguo Rong and Jian Li
Healthcare 2026, 14(13), 1986; https://doi.org/10.3390/healthcare14131986 - 3 Jul 2026
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Abstract
Background: Chronic liver disease (CLD) imposes a heavy global burden, particularly among middle-aged and elderly adults. Prospective evidence on whether depressive symptoms independently predict new-onset CLD remains scarce. Methods: This prospective cohort study used CHARLS (2011–2020) data and enrolled 9549 participants without baseline [...] Read more.
Background: Chronic liver disease (CLD) imposes a heavy global burden, particularly among middle-aged and elderly adults. Prospective evidence on whether depressive symptoms independently predict new-onset CLD remains scarce. Methods: This prospective cohort study used CHARLS (2011–2020) data and enrolled 9549 participants without baseline CLD. Depressive symptoms were assessed using the CES-D-10 and categorized into four severity levels. Multivariable Cox regression, Kaplan–Meier analysis, and ROC curves were used. Subgroup analyses were conducted across demographic and behavioral strata to assess consistency. Results: During a mean follow-up of 8.77 years, 746 (7.8%) participants developed new-onset CLD. Higher baseline depression severity was associated with increased CLD risk. In the fully adjusted model, compared with the non-depressed group, the HR for mild depression was 1.34 (95% CI: 1.12–1.59, p = 0.001), for moderate depression 1.65 (95% CI: 1.34–2.04, p < 0.001), and for severe depression 2.16 (95% CI: 1.26–3.72, p = 0.005). Cumulative incidence increased with depression severity, with group differences widening over time (log-rank p < 0.0001). Subgroup analyses showed consistent associations across different demographic and behavioral strata. Conclusions: Across the total population, the analyses consistently demonstrate an independent, graded association between baseline depressive symptom severity and incident CLD that persists after multivariable adjustment. The stratified analyses further reveal that this association is primarily driven by female participants and middle-aged adults (45–60 years), highlighting these subgroups as priority populations for depression-informed CLD prevention and screening strategies. Full article
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