Does the inflammatory bowel disease activity alter following liver transplantation? A protocol for systematic review and meta-analysis

Document Type : Protocol

Authors

1 Gastroenterohepatology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran

2 Department of E-Learning, Virtual school, Shiraz University of Medical Sciences, Shiraz, Iran

3 Department of Nursing, School of Nursing and Midwifery, Student Research Committee, Ahvaz Jundishapur University of Medical Science, Ahvaz, Iran

4 Department of Health Sciences Education Development, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran

Abstract

Background& Aims: Inflammatory bowel disease (IBD) is closely associated with primary sclerosing cholangitis (PSC), an uncommon chronic and progressive cholestatic liver disease. Liver transplantation (LT) is the only therapeutic strategy for PSC that may also affect the IBD course. Considering the lack of any systematic review and pursuing debate on the alterations in the clinical course of IBD after LT compared to before, we aim to systematically assess the frequencies of patients with "improved", "unchanged", or "aggravated" IBD course following LT and conduct a meta-analysis.
Methods: In this systematic review, PubMed/MEDLINE, Scopus, WoS (Clarivate Analytics), and Embase will be searched. Our search strategy (i.e. the eligibility criteria) covers prospective and retrospective observational studies evaluating the clinical course of ulcerative colitis or/and Crohn’s disease after LT, with no language limitation, published between 01.01.1970 and 30.12.2020. The selection phase, data extraction, and quality assessment will be independently implemented by two authors. In case of any disagreement between the authors, the issue will be resolved by consensus; if not resolved, the opinion of a third expert person will be asked. If there are sufficient studies, the pooled frequencies (%) of patients with "improved", "unchanged", or "exacerbated" IBD activity following LT will be calculated using random-effects meta-analysis due to the expected heterogeneity. Forest plots will show the separated and combined frequencies and their corresponding 95% CIs. Statistical heterogeneity will be evaluated by the Q-statistic test and I2 statistics. The funnel plot for assessing the potential reporting bias, Begg's and Egger's tests for meaningful results of the publication bias, and the Fill & Trim method for corrected publication bias will be used.

Keywords


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