Dexamethasone prevents TACE-induced adverse events: A meta-analysis.
Dexamethasone prevents TACE-induced adverse events: A meta-analysis.
复制标题
地塞米松可预防 TACE 引起的不良事件：一项荟萃分析。
DOI：
10.1097/md.0000000000023191
复制
发表时间：
2020-11-20
期刊：
影响因子：
1.6
通讯作者：
Guo T
中科院分区：
文献类型：
--
作者：
Chang L;Wang W;Jiang N;Rao F;Gong C;Wu P;Yang J;Liu Z;Guo T
虽然地塞米松已在经导管动脉化疗栓塞术（TACE）后应用多年，但其临床效果尚未确定。在本研究中，我们的目的是评估地塞米松预防TACE引起的不良事件的有效性。使用全球公认的在线数据库（即MEDLINE、EMBASE和科克伦中心）进行文献检索，以识别接受TACE的患者中地塞米松应用的随机对照试验（RCT）。计算发热、腹痛和恶心呕吐3种不良事件发生率的相对比值比（OR）。用I2值评价试验的异质性，用Egger检验评价总体发表偏倚。纳入了包含350例受试者的4项RCT进行汇总估计。地塞米松显著降低TACE不良事件的发生率（OR = 1.237，95% CI：1.170-1.308，P <.001），具有中度异质性（I2 = 46.0%）。 Egger检验结果显示纳入研究存在发表偏倚。目前的荟萃分析证实了地塞米松在预防TACE诱导的不良事件方面的疗效。为了证实地塞米松与TACE联合使用的实用性，需要进行进一步的大样本量研究，以更新循证分析。
While dexamethasone has been applied following transcatheter arterial chemoembolization (TACE) for years, its clinical effects have not been determined. In the current study, we aimed to evaluate the efficacy of dexamethasone in preventing adverse events induced by TACE. Literature retrieval was conducted using globally recognized online databases, namely MEDLINE, EMBASE, and Cochrane Central, to identify randomized controlled trials (RCTs) of dexamethasone application in patients undergoing TACE. The relative odds ratios (ORs) of incidence rates of three adverse events, namely, fever, abdominal pain and nausea/vomiting, were calculated. The value of I2 was applied to evaluate the heterogeneity of the trials, and the overall publication bias was assessed with Egger test. Four RCTs containing 350 subjects were included for the pooled estimation. Dexamethasone significantly reduced the incidence rate of TACE-induced adverse events (OR = 1.237, 95% CI: 1.170–1.308, P < .001) with moderate heterogeneity (I2 = 46.0%). The result of Egger test revealed a publication bias for the included studies. The current meta-analysis confirmed the efficacy of dexamethasone in preventing TACE-induced adverse events. To confirm the practicality of dexamethasone use with TACE, further studies with large sample sizes are warranted to update the evidence-based analyses.