Efficacy of stem cell therapy in patients with chronic liver disease: an umbrella review of systematic reviews

干细胞疗法治疗慢性肝病患者的疗效:系统评价的伞状综述

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Abstract

BACKGROUND: Stem cell therapy offers promising benefits like modulating immune responses, reducing inflammation, and aiding liver regeneration. This umbrella review seeks to compile evidence from systematic reviews to assess the efficacy of stem cell therapy for improving liver function and survival rates in chronic liver disease patients. METHODS: We searched electronic databases up to February 15, 2024. The selection process focused on systematic reviews comparing stem cell therapy with standard care or a placebo. The primary outcomes evaluated were changes in liver enzymes, the Model for End-Stage Liver Disease score, and survival rates. Nested Knowledge software was utilized for screening and data extraction. All statistical analyses were performed using R software, version 4.3. RESULTS: Our umbrella review included 28 systematic reviews. The meta-analysis showcased a notable improvement in survival rates with a pooled relative risk of 1.487 [95% confidence interval (CI): 1.281-1.727). In nonrandomized studies, albumin levels exhibited a standardized mean difference (SMD) of 0.786 (95% CI: 0.368-1.204), indicating positive therapeutic effects. For alanine aminotransferase, the meta-analysis revealed a decrease in levels with an SMD of -0.499 (95% CI: -0.834 to -0.164), and for aspartate aminotransferase, an overall SMD of -0.362 (95% CI: -0.659 to -0.066) was observed, suggesting hepatoprotective effects. No significant changes were observed in total bilirubin levels and Model for End-Stage Liver Disease scores in randomized controlled trials. CONCLUSION: Stem cell therapy exhibits potential as a novel treatment for chronic liver diseases, as it has demonstrated improvements in survival rates and certain liver function markers. More high-quality randomized controlled trials are needed in the future to fully ascertain the efficacy of stem cell therapy in this patient population.

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