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用于原发性高血压的中成药:一项贝叶斯网络Meta分析

Traditional Chinese Patent Medicine for Primary Hypertension: A Bayesian Network Meta-Analysis.

作者信息

Chen Zhe, Shi Qingyang, Tan Lizi, Peng Yingying, Liu Chunxiang, Zhang Junhua

机构信息

Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.

Evidence-based Medicine Center, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.

出版信息

Evid Based Complement Alternat Med. 2020 Apr 24;2020:6701272. doi: 10.1155/2020/6701272. eCollection 2020.

Abstract

BACKGROUND

Traditional Chinese Patent Medicine (TCPM) is now being used more and more extensively for primary hypertension in China. However, the comparative efficacy and safety of it need more clarified evidence. Thus, we conducted a Bayesian network meta-analysis to compare TCPMs with other interventions.

METHODS

We searched China National Knowledge Infrastructure (CNKI), WanFang Data, PubMed, Embase, and Cochrane Library from inception to April 2019 for randomized controlled trials (RCTs) with diagnosis of primary hypertension that compared the efficacy of TCPMs with antihypertension drugs (ADs). Two researchers screened literature, extracted data, and evaluated risk of bias independently. The primary outcomes were systolic blood pressure (SBP) and diastolic blood pressure (DBP). The secondary outcomes were adverse effects (AEs), total cholesterol (TC), and triglyceride (TG). We used the Bayesian network meta-analysis to compare interventions and described the categorical variable and the continuous variable as odds ratio (OR) and mean difference (MD), respectively. Besides, we ranked all interventions via the Surface Under the Cumulative Ranking (SUCRA) values and conducted metaregression with nine covariates as additional analysis.

RESULTS

We included 192 studies with 23366 patients diagnosed as primary hypertension in total. For SBP reduction, eighteen interventions were significantly better than AD. Among them, Yinxingye (YXY) + AD (MD = -12, 95% CrI [-16, -8.5]) was superior to others in the rank plot with SUCRA 0.91. For DBP reduction, sixteen interventions were significantly better than AD. Among them, Qinggan Jiangya (QGJY) + AD (MD = -8.7, 95% CrI [-12, -5.5]) and Qiju Dihuang (QJDH) + AD (MD = -8.8, 95% CrI [-12, -5.2]) were superior to others in the rank plot with SUCRA 0.89. To summarize the SUCRA values, we found that QGJY + AD and YXY + AD had the most significant reductions for both SBP and DBP. YXY + AD was the best one for both TC (MD = -1.3, 95% CrI [-1.9, -0.64]) and TG (MD = -0.52, 95% CrI [-0.92, -0.11]) reductions. Considering adverse effects, we found two interventions had significant differences comparing with AD. Among them, YXY + AD was the best one with SUCRA of 0.01.

CONCLUSION

In all TCPMs, QGJY + AD and YXY + AD may be the best options for hypertension. Meanwhile, YXY + AD can improve blood lipids in patients with hypertension. However, due to the vague reports of adverse effects and other limitations, more evidence, especially that provided by high-quality studies, is needed to prove the advantages of TCMPs.

摘要

背景

在中国,中成药目前在原发性高血压治疗中的应用越来越广泛。然而,其相对疗效和安全性需要更明确的证据。因此,我们进行了一项贝叶斯网络荟萃分析,以比较中成药与其他干预措施。

方法

我们检索了中国知网(CNKI)、万方数据、PubMed、Embase和考科蓝图书馆,检索时间从建库至2019年4月,纳入诊断为原发性高血压的随机对照试验(RCT),比较中成药与抗高血压药物(AD)的疗效。两名研究人员独立筛选文献、提取数据并评估偏倚风险。主要结局为收缩压(SBP)和舒张压(DBP)。次要结局为不良反应(AE)、总胆固醇(TC)和甘油三酯(TG)。我们使用贝叶斯网络荟萃分析比较干预措施,并分别将分类变量和连续变量描述为比值比(OR)和均值差(MD)。此外,我们通过累积排序曲线下面积(SUCRA)值对所有干预措施进行排序,并以九个协变量进行Meta回归作为额外分析。

结果

我们共纳入192项研究,总计23366例诊断为原发性高血压的患者。对于收缩压降低,18种干预措施显著优于抗高血压药物。其中,银杏叶(YXY)+抗高血压药物(MD = -12,95% CrI [-16, -8.5])在排序图中优于其他措施,SUCRA为0.91。对于舒张压降低,16种干预措施显著优于抗高血压药物。其中,清肝降压(QGJY)+抗高血压药物(MD = -8.7,95% CrI [-12, -5.5])和杞菊地黄(QJDH)+抗高血压药物(MD = -8.8,95% CrI [-12, -5.2])在排序图中优于其他措施,SUCRA为0.89。综合SUCRA值,我们发现QGJY+抗高血压药物和YXY+抗高血压药物在收缩压和舒张压降低方面效果最为显著。YXY+抗高血压药物在降低总胆固醇(MD = -1.3,95% CrI [-1.9, -0.64])和甘油三酯(MD = -0.52,95% CrI [-0.92, -0.11])方面是最佳的。考虑到不良反应,我们发现两种干预措施与抗高血压药物相比有显著差异。其中,YXY+抗高血压药物是最佳的,SUCRA为0.01。

结论

在所有中成药中,QGJY+抗高血压药物和YXY+抗高血压药物可能是治疗高血压的最佳选择。同时,YXY+抗高血压药物可改善高血压患者的血脂。然而,由于不良反应报告模糊及其他局限性,需要更多证据,尤其是高质量研究提供的证据,来证明中成药的优势。

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