What is the impact of metabolic dysfunction-associated steatotic liver disease (MASLD) on outcomes in people living with chronic hepatitis B (CHB)? An umbrella review protocol.
Emily Martyn, Jessica Carter, Maeve Barlow, Flora Olcott, Indrajit Ghosh, Elizabeth Waddilove, Alejandro Arenas-Pinto, Richard Gilson, Stuart Flanagan, Wd Francois Venter, Jennifer Manne-Goehler, Sally Hargreaves, Emmanouil Tsochatizis, Douglas MacDonald, Philippa C Matthews
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引用次数: 0
Abstract
Introduction: An estimated 254 million people are living with chronic hepatitis B virus (CHB) and 1.6 billion with metabolic dysfunction-associated steatotic liver disease (MASLD) worldwide. CHB remains a major global health challenge, despite a robust vaccine and suppressive antiviral treatment, and MASLD prevalence is increasing in line with a rise in cardiometabolic risk factors, such as obesity and type 2 diabetes. Thus, understanding the impact of concurrent CHB and MASLD on liver health is important to inform clinical practice and population surveillance. Current literature, including over ten systematic reviews and meta-analyses, yields conflicting evidence about the interplay between CHB and MASLD. This protocol describes a study aiming to critically appraise published systematic reviews investigating the effect of MASLD on liver outcomes in people living with CHB, identify gaps in the available data and assist scientists and clinicians in informing future research design.
Methods and analysis: We will use umbrella review methodology from the Joanna Briggs Institute (JBI) to evaluate and synthesise evidence from existing systematic reviews and meta-analysis investigating liver and viral outcomes (fibrosis, cirrhosis, hepatocellular carcinoma, response to antiviral treatment, and impact on CHB biomarkers e.g. hepatitis B surface antigen, hepatitis B e-antigen and viral load) in CHB and MASLD, compared to CHB alone. We will search Ovid Medline, Ovid Embase, PubMed and Web of Science. We will assess methodological quality using the Assessing the Quality of Systematic Reviews-2 (AMSTAR-2) tool, compare study characteristics and present important results.
Ethics and dissemination: No ethics approval is required as we will use only data from systematic reviews that are already published. Results will be included in a PhD thesis, submitted for consideration for presentation at international conferences and for peer review for publication in a scientific journal. We will endeavour to share results with relevant public and patient organisations. Registration details This umbrella review has been published on PROSPERO (ID CRD420261308282).
Wellcome Open ResearchBiochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
5.50
自引率
0.00%
发文量
426
审稿时长
1 weeks
期刊介绍:
Wellcome Open Research publishes scholarly articles reporting any basic scientific, translational and clinical research that has been funded (or co-funded) by Wellcome. Each publication must have at least one author who has been, or still is, a recipient of a Wellcome grant. Articles must be original (not duplications). All research, including clinical trials, systematic reviews, software tools, method articles, and many others, is welcome and will be published irrespective of the perceived level of interest or novelty; confirmatory and negative results, as well as null studies are all suitable. See the full list of article types here. All articles are published using a fully transparent, author-driven model: the authors are solely responsible for the content of their article. Invited peer review takes place openly after publication, and the authors play a crucial role in ensuring that the article is peer-reviewed by independent experts in a timely manner. Articles that pass peer review will be indexed in PubMed and elsewhere. Wellcome Open Research is an Open Research platform: all articles are published open access; the publishing and peer-review processes are fully transparent; and authors are asked to include detailed descriptions of methods and to provide full and easy access to source data underlying the results to improve reproducibility.