医学
内科学
荟萃分析
脂肪变性
随机对照试验
胃肠病学
优势比
置信区间
脂肪肝
内分泌学
相对风险
疾病
作者
Islam Mohamed,Misha Gautam,Hazem Abosheaishaa,NULL AUTHOR_ID,Kopal Kumar,NULL AUTHOR_ID,NULL AUTHOR_ID,NULL AUTHOR_ID,NULL AUTHOR_ID,Dushyant Singh Dahiya,NULL AUTHOR_ID,NULL AUTHOR_ID
标识
DOI:10.1097/meg.0000000000002819
摘要
Metabolic dysfunction-associated steatotic liver disease (MASLD) is characterized by hepatic steatosis and metabolic dysregulation. Growth hormone (GH) augmentation has emerged as a potential therapeutic intervention for treating MASLD. This systematic review and meta-analysis aimed to evaluate the impact of GH augmentation on different parameters of MASLD. A systematic literature search identified randomized controlled trials investigating GH augmentation in MASLD patients. Search results were screened via Covidence and the Risk of Bias 2 tool was used to assess bias in randomized controlled trials. Statistical analysis utilized RevMan v5.3. We combined dichotomous outcomes employing odds ratios and continuous outcomes utilizing mean difference (MD), each with a 95% confidence interval (CI). Statistical significance was indicated by a P -value less than 0.05. Heterogeneity was evaluated using I 2 tests. Our results showed that GH augmentation resulted in a significant reduction in both relative (MD: −46.26; 95% CI: −71.52, −21.00; P = 0.0003) and absolute (MD: −5.15; 95% CI: −7.93, −2.37; P = 0.0003) hepatic fat fraction. GH augmentation significantly reduced alanine aminotransferase (MD: −5.97; 95% CI: −10.31, −1.62; P = 0.007) and gamma-glutamyl transferase (MD: −16.18; 95% CI: −30.76, −1.59; P = 0.03) levels. No significant changes were observed in hemoglobin A1c, C-reactive protein, fasting serum glucose, BMI, triglycerides, and low-density lipoprotein cholesterol levels. Our meta-analysis highlights GH augmentation as a promising therapy for reducing liver steatosis and improving liver enzyme levels in MASLD patients. Further large-scale trials are warranted to examine the long-term effects, safety profiles, and potential impact on various measures.
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