RecruitingNCT07682363

Management Concepts of Metabolic Dysfunction Associated Steatotic Liver Disease (MASLD) Among Chinese Physicians

Attitudes, Perceptions, Clinical Practice, and Barriers in Diagnosis and Management of Patients With Metabolic Dysfunction-associated Steatotic Liver Disease: a Cross-sectional Survey on Physicians in China

Sponsor

Novo Nordisk A/S

Enrollment

470 participants

Start Date

Jun 3, 2026

Study Type

OBSERVATIONAL

Conditions

Liver Disease

Summary

This study is a cross-sectional survey-based study. The main goal of this study is to investigate the attitudes, perceptions, and clinical practice in assessing liver fibrosis following a metabolic dysfunction-associated steatotic liver disease (MASLD) diagnosis, and the management of MASLD patients among Chinese physicians in the departments of endocrinology / hepatology / infection / gastroenterology in Grade IIIA hospitals in provincial capitals or municipalities.

Eligibility

Min Age: 18 Years

Inclusion Criteria10

Has provided informed consent.
Registered clinical practice location in provincial capital or municipality.
Physician with a license for clinical practice.
Employed in the Department of Endocrinology, Hepatology, Infection or Gastroenterology.
Hospital level: Grade IIIA hospital.
Hold a professional title of associate chief physician or above, or senior attending physician (as an attending physician for more than or equal to (≥) 3 years).
Conducts outpatient clinics for at least 1 half-days per week.
The patient load of MASLD/MASH per month in the department should be:
a. Endocrinology ≥20 patients per month
b. Hepatology/Gastroenterology/ Infectious ≥30 patients per month

Exclusion Criteria1

Participants will be excluded if they have unwillingness precluding adequate cooperation, fail to complete the questionnaire, or submit questionnaires verified as invalid.

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Interventions

OTHERNo treatment is given

This study is a cross-sectional survey-based study. The design is observational and descriptive. Collection of data will be performed via a quantitative online survey.