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银屑病中医治疗的疗效比较:一项贝叶斯网络荟萃分析。

Effectiveness comparisons of traditional Chinese medicine for psoriasis: A Bayesian network meta-analysis.

作者信息

Wang Longjun, Tao Yun, Deng Sheng, Chu Liyuan, Li Linge

机构信息

Hebei University of Chinese Medicine.

Department of Dermatology, Huabei Petroleum General Hospital.

出版信息

Medicine (Baltimore). 2019 Sep;98(36):e17055. doi: 10.1097/MD.0000000000017055.

Abstract

BACKGROUND

Psoriasis is an immune-mediated polygenic hereditary skin disease quality of the patients' life because of the great trouble it causes to patients. Whereas, there is variability when we regard the selection of traditional Chinese medicine treatments in practice and most choices are made based on personal experience or preference of clinician. This study uses network meta-analysis to compare the effectiveness of different forms of TCM for psoriasis and assesses the evidence with the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach.

METHODS

We will search for PubMed, Cochrane Library, AMED, EMbase, WorldSciNet; Nature, Science online and China Journal Full-text Database (CNKI), China Biomedical Literature CD-ROM Database (CBM), and related randomized controlled trials included in the China Resources Database. The time is limited from the construction of the library to April 2019. The quality of the included RCTs will be evaluated by the risk of bias (ROB) tool and the evidence will be evaluated by GRADE. STATA 13.0 and WinBUGS 1.4.3 through the GeMTC package will be used to perform a network meta-analysis to synthesize direct and indirect evidence.

RESULTS

The results of this network meta-analysis (NMA) will be submitted to a peer-reviewed journal for publication.

TRIAL REGISTRATION NUMBER

PROSPERO CRD42019137250.

摘要

背景

银屑病是一种免疫介导的多基因遗传性皮肤病,给患者带来极大困扰,影响患者生活质量。然而,在实际临床中,对于中医治疗方法的选择存在差异,大多数选择是基于临床医生的个人经验或偏好。本研究采用网状Meta分析比较不同中医治疗方式对银屑病的疗效,并采用推荐分级的评估、制定与评价(GRADE)方法评估证据。

方法

我们将检索PubMed、Cochrane图书馆、AME数据库、EMbase、世界科学网;《自然》《科学》在线版以及中国期刊全文数据库(CNKI)、中国生物医学文献光盘数据库(CBM)以及华润数据库中纳入的相关随机对照试验。检索时间范围为各数据库建库至2019年4月。采用偏倚风险(ROB)工具评估纳入RCT的质量,并采用GRADE方法评估证据。将通过GeMTC软件包,使用STATA 13.0和WinBUGS 1.4.3软件进行网状Meta分析,综合直接和间接证据。

结果

本网状Meta分析(NMA)的结果将提交至同行评审期刊发表。

试验注册号

PROSPERO CRD42019137250。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dda7/6739008/6476a39d6dab/medi-98-e17055-g002.jpg

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