Determination of the Combined Effects of Asian Herbal Medicine with Calcium and/or Vitamin D Supplements on Bone Mineral Density in Primary Osteoporosis: A Systematic Review and Meta-Analysis

亚洲草药联合钙和/或维生素D补充剂对原发性骨质疏松症患者骨密度影响的综合疗效:系统评价和荟萃分析

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Abstract

Our review of 52 RCTs from 5 databases suggests a tendency for notable improvement in BMD when combining herbal medicine with supplements (calcium and vitamin D variants) compared to supplement monotherapy in primary osteoporosis. However, caution is needed in interpreting results due to substantial heterogeneity among included studies. PURPOSE: To conduct a systematic review and meta-analysis to determine whether herbal medicine (HM) plus supplements such as calcium (Ca) or vitamin D (Vit.D) improves bone mineral density (BMD) compared to supplements alone in primary osteoporosis (OP) patients. METHODS: We searched 5 databases for randomized controlled trials (RCTs) using HMs with supplements (Ca or Vit.D variants) as interventions for primary OP patients published until August 31, 2022. Meta-analysis using BMD score as the primary outcome was performed using RevMan 5.4 version. Risk of bias in the included studies was assessed useing RoB 2.0 tool. RESULTS: In total, 52 RCTs involving 4,889 participants (1,408 men, 3,481 women) were included, with average BMD scores of 0.690 ± 0.095 g/cm(2) (lumbar) and 0.625 ± 0.090 g/cm(2) (femoral neck). As a result of performing meta-analysis using BMD scores for all 52 RCTs included in this review, combination of HMs with Ca and Vit.D variants improved the BMD score by 0.08 g/cm(2) (lumbar, 38 RCTs, 95% CI: 0.06-0.10, p < 0.001, I(2) = 97%) and 0.06 g/cm(2) (femoral neck, 19 RCTs, 95% CI: 0.04-0.08, p < 0.001, I(2) = 92%)compared to controls. However, statistical significance of the lumbar BMD improvement disappeared after adjusting for potential publication bias. CONCLUSION: Our data suggest that combining of HM and supplements tends to be more effective in improving BMD in primary OP than supplements alone. However, caution is needed in interpretation due to the reporting bias and high heterogeneity among studies, and well-designed RCTs are required in the future.

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