Telemedicine as an Option for Monitoring Metabolic Dysfunction-Associated Fatty Liver Disease (MAFLD) Patients Facing the COVID-19 Pandemic: A Systematic Review and Meta-Analysis

Akbar, Femmy Nurul; Choirida, Safira Rosiana; Muttaqin, Ahmad Zaqi; Ekayanti, Fika; Nisa, Hoirun; Hendarto, Hari

doi:10.3390/jpm14030281

Cited by 2 publications

(1 citation statement)

References 31 publications

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“…Accordingly, Akbar et al, in this Special Issue, assess the role of telemedicine in monitoring MASLD/NAFLD during the pandemic. Their systematic review and meta-analysis demonstrate that telemedicine via mobile applications during the SARS-CoV-2 pandemic proved to be an option for monitoring lifestyle modifications in MASLD/NAFLD patients [34].…”

Section: Telemedicine For Remote Monitoringmentioning

confidence: 99%

Liver Diseases: Science, Fiction and the Foreseeable Future

Gieseler,

Baars,

Özçürümez

et al. 2024

JPM

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This Editorial precedes the Special Issue entitled “Novel Challenges and Therapeutic Options for Liver Diseases”. Following a historical outline of the roots of hepatology, we provide a brief insight into our colleagues’ contributions in this issue on the current developments in this discipline related to the prevention of liver diseases, the metabolic dysfunction-associated steatotic liver disease (or non-alcoholic fatty liver disease, respectively), liver cirrhosis, chronic viral hepatitides, acute-on-chronic liver failure, liver transplantation, the liver–microbiome axis and microbiome transplantation, and telemedicine. We further add some topics not covered by the contributions herein that will likely impact future hepatology. Clinically, these comprise the predictive potential of organokine crosstalk and treatment options for liver fibrosis. With regard to promising developments in basic research, some current findings on the genetic basis of metabolism-associated chronic liver diseases, chronobiology, metabolic zonation of the liver, aspects of the aging liver against the background of demography, and liver regeneration will be presented. We expect machine learning to thrive as an overarching topic throughout hepatology. The largest study to date on the early detection of liver damage—which has been kicked off on 1 March 2024—is highlighted, too.

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Section: Telemedicine For Remote Monitoringmentioning

confidence: 99%