Li Jing, Shi Shu-Zhen, Wang Jian-Shu, Liu Zhao, Xue Jin-Xu, Wang Jian-Cheng, Jia Jun-Hai
Gansu Provincial Cancer Hospital.
School of Basic Medical Sciences, Lanzhou University.
Medicine (Baltimore). 2019 Jul;98(27):e16342. doi: 10.1097/MD.0000000000016342.
Melanoma is a malignant tumor of melanocytes that produces pigments and can occur in the whole body. It is characterized by strong invasiveness, high metastasis rate and poor prognosis, and brings heavy burden to patients and society. In order to find the most effective and safe treatment measures, in this study, a network meta-analysis (NMA) for randomized controlled trials (RCTs) of advanced melanoma treated with PD-1 inhibitors will be conducted based on the existing systematic reviews (SRs) of PD-1 inhibitor in the treatment of advanced melanoma.
PubMed, EMBASE, Web of Science and the Cochrane Library were searched on December 18, 2018 to obtain systematic reviews of PD-1 inhibitor in the treatment of advanced melanoma. Assessing the Methodological Quality of Systematic Reviews (AMSTAR2) will be used to assess the methodological quality of systematic reviews, Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach will be applied to evaluate the evidence quality of outcome measures, and the Cochrane's risk of bias tool will be utilized to appraise risks of bias of each embedded RCTs. And the outcomes are overall survival (OS), progression-free survival (PFS) and objective response rate (ORR). Hazard ratio (HR) or odds ratio (OR) with their 95% confidence interval (CI) were used to synthesize dichotomous outcomes, while the mean difference (MD) for the continuous variables. R3.5.1 will be used to create a network evidence map for direct and indirect comparative analysis.
This study will provide a comprehensive summary of the current evidences related to the efficacy and safety of PD-1 inhibitor in advanced melanoma.
Our findings will be useful to assist clinicians make reasonable decisions to the treatment of advanced melanoma.
It is unnecessary for this NMA to acquire an ethical approval, because it is based on published researches.
CRD42019120017.
黑色素瘤是一种产生色素的黑素细胞恶性肿瘤,可发生于全身。其特点是侵袭性强、转移率高、预后差,给患者和社会带来沉重负担。为寻找最有效、安全的治疗措施,本研究将基于现有的关于PD-1抑制剂治疗晚期黑色素瘤的系统评价(SRs),对PD-1抑制剂治疗晚期黑色素瘤的随机对照试验(RCTs)进行网络荟萃分析(NMA)。
于2018年12月18日检索PubMed、EMBASE、科学网和考克兰图书馆,以获取关于PD-1抑制剂治疗晚期黑色素瘤的系统评价。将使用评估系统评价方法学质量(AMSTAR2)来评估系统评价的方法学质量,应用推荐分级评估、制定和评价(GRADE)方法来评估结局指标的证据质量,并利用考克兰偏倚风险工具来评估每个纳入的RCT的偏倚风险。结局指标为总生存期(OS)、无进展生存期(PFS)和客观缓解率(ORR)。采用风险比(HR)或比值比(OR)及其95%置信区间(CI)来综合二分结局,而连续变量采用均数差(MD)。将使用R3.5.1创建网络证据图进行直接和间接比较分析。
本研究将全面总结目前与PD-1抑制剂治疗晚期黑色素瘤的疗效和安全性相关的证据。
我们的研究结果将有助于临床医生对晚期黑色素瘤的治疗做出合理决策。
本NMA无需获得伦理批准,因为它基于已发表的研究。
PROSPERO注册号:CRD42019120017。