Effectiveness of Mobile Health Intervention for Non Alcoholic Fatty Liver Disease- A Meta Analysis of Randomized Controlled Trials - 29/07/24
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Abstract |
Introduction |
Non-alcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease worldwide. Lifestyle modification is the mainstay of management, however, most patients find it difficult to significantly modify their lifestyle. Mobile health is an innovative healthcare system that has an established role in treating chronic diseases like asthma, cancer and cardiovascular disease. Hence, we conducted an updated meta analysis to evaluate the efficacy of mobile health intervention (mHI) for NAFLD.
Methods |
Literature search of five electronic databases was performed from the inception of the paper till 15th May, 2024. Studies were included if they met the inclusion criteria; Randomized controlled trials evaluating use of mHI along with standard care in comparison to standard care only for patients with NAFLD over 18 years. Primary outcomes of interest included changes in weight, body mass index (BMI), and liver markers from baseline to post intervention. Risk of bias was evaluated using the Cochrane bias assessment tool while the Mantel-Haenszel Random-effects model on Review manager was used to pool outcomes.
Results |
Outcomes were pooled from 7 RCTs comprising a total of 621 participants. There was a significant decrease in weight (P < 0.0001), aspartate aminotransferase (AST) (P= 0.002) and alkaline aminotransferase (ALT) (P = 0.0009) from baseline to follow-up in the intervention group as compared to the control group. However, the reduction in BMI was found to be non-significant (P= 0.64).
Conclusion |
Our meta analysis reports that mHI plays an important role in significantly reducing weight and liver markers in patients with NAFLD. Considering that the improvement of these factors plays a key role in the management of the disease, mHI could be the key towards paving better outcomes for patients with NAFLD.
Le texte complet de cet article est disponible en PDF.Keywords : NAFLD, meta analysis, RCTs, ALT, AST, BMI, Digital Health
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