Liu SY, Gao GF, Wang XY, Yu J. Influence of an internet-based proactive follow-up management model on the prognosis of nonalcoholic fatty liver disease. World J Gastroenterol 2025; 31(44): 111731 [DOI: 10.3748/wjg.v31.i44.111731]
Corresponding Author of This Article
Jiao Yu, MD, Chief, Department of Hepatology, Shanghai Eastern Hepatobiliary Surgery Hospital, Navy Medical University, No. 700 Moyu North Road, Jiading District, Shanghai 200438, China. yujiao7828@sina.com
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Gastroenterology & Hepatology
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Clinical Trials Study
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This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Nov 28, 2025 (publication date) through Dec 1, 2025
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World Journal of Gastroenterology
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1007-9327
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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
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Liu SY, Gao GF, Wang XY, Yu J. Influence of an internet-based proactive follow-up management model on the prognosis of nonalcoholic fatty liver disease. World J Gastroenterol 2025; 31(44): 111731 [DOI: 10.3748/wjg.v31.i44.111731]
World J Gastroenterol. Nov 28, 2025; 31(44): 111731 Published online Nov 28, 2025. doi: 10.3748/wjg.v31.i44.111731
Influence of an internet-based proactive follow-up management model on the prognosis of nonalcoholic fatty liver disease
Sui-Yi Liu, Guo-Feng Gao, Xiao-Yu Wang, Jiao Yu
Sui-Yi Liu, Department of Medical Engineering, Shanghai Eastern Hepatobiliary Surgery Hospital, Navy Medical University, Shanghai 200438, China
Guo-Feng Gao, Xiao-Yu Wang, Jiao Yu, Department of Hepatology, Shanghai Eastern Hepatobiliary Surgery Hospital, Navy Medical University, Shanghai 200438, China
Author contributions: Yu J designed and conducted the study; Liu SY contributed to the analysis and wrote the paper; Gao GF and Wang XY collected the data; all authors have read and approved the final manuscript.
Institutional review board statement: This study was reviewed and approved by the Ethics Committee of Shanghai Eastern Hepatobiliary Surgery Hospital (Third Affiliated Hospital of Naval Medical University) (approval No. EHBHKY2022-H064-P001).
Clinical trial registration statement: This study is registered at www.chictr.org.cn. The registration identification number is ChiCTR2500103815.
Informed consent statement: The study protocol was in accordance with the ethical guidelines of the 1975 Declaration of Helsinki. All patients provided informed written consent prior to study enrollment.
Conflict-of-interest statement: The authors declare that they have no conflict of interest.
CONSORT 2010 statement: The authors have read the CONSORT 2010 Statement, and the manuscript was prepared and revised according to the CONSORT 2010 Statement.
Data sharing statement: Dataset available from the corresponding author at yujiao7828@sina.com.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Jiao Yu, MD, Chief, Department of Hepatology, Shanghai Eastern Hepatobiliary Surgery Hospital, Navy Medical University, No. 700 Moyu North Road, Jiading District, Shanghai 200438, China. yujiao7828@sina.com
Received: July 29, 2025 Revised: September 14, 2025 Accepted: October 28, 2025 Published online: November 28, 2025 Processing time: 121 Days and 19.3 Hours
Abstract
BACKGROUND
Most patients with non-alcoholic fatty liver disease (NAFLD) exhibit mild symptoms; however, without timely intervention, the condition may progress to cirrhosis or even liver cancer. The development of internet-based proactive follow-up management models has provided new avenues for medical services, allowing patients to access online consultations and enabling doctors to efficiently manage patient information. These models have particular significance for NAFLD patients, as they can enhance compliance and facilitate timely intervention.
AIM
To explore the effect of an internet-based proactive follow-up management model on the prognosis management of patients with NAFLD.
METHODS
This study collected data from 145 patients diagnosed with NAFLD. The patients were randomly divided into the internet-based proactive follow-up group (71 patients) and the traditional follow-up group (74 patients). The traditional follow-up group underwent routine outpatient and telephone follow-up, while the internet-based proactive follow-up group used the WeChat applet for active reminding, health education and follow-up. During the follow-up period, patients’ compliance, disease control status, and quality of life score were recorded.
RESULTS
The follow-up compliance of patients in the internet-based proactive follow-up group was significantly higher than that in the traditional follow-up group (85.6% vs 68.4%, P < 0.01), and the quality of life score was significantly improved (78.9 ± 7.6 vs 72.5 ± 8.4, P < 0.01).
CONCLUSION
The internet-based proactive follow-up management model can provide personalized health management plans and reduce the risk of disease deterioration, making it worthy of promotion in a broader healthcare context.
Core Tip: Non-alcoholic fatty liver disease mostly presents mild symptoms; however, failure to intervene in a timely manner may lead to cirrhosis or even liver cancer. The ‘internet’ provides a new pathway for medical services, enhancing patient follow-up compliance and facilitating timely interventions. This study divided participants into two groups, one group underwent traditional follow-up and the other an internet-based proactive follow-up management model. This model integrates digital technologies such as mobile internet and cloud computing to achieve efficient interaction and seamless connection between doctors and patients, which hold significant importance for improving the quality of medical services and optimizing health management.
