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| 1 | Hepatitis B virus polymerase impairs interferon‐α–induced STA T activation through inhibition of importin‐α5 and protein kinase C‐δ显示文摘 | Jieliang Chen Min Wu Xiaonan Zhang Wen Zhang Zhanqing Zhang Lixiang Chen Jing He Ye Zheng Cuncun Chen Fan Wang Yunwen Hu Xiaohui Zhou Cong Wang Yang Xu Mengji Lu Zhenghong Yuan | 2013 | Hepatology2013，，2： | 1 |
| 2 | The Chinese herbal Formula Tongxieyaofang for irritable bowel syndrome:a protocol for meta-analysis of randomized controlled trials显示文摘背景:肠易激综合症(IBS)是一种慢性功能性肠病,以腹痛和肠功能改变为特征。通泻要方(TXYF)是一个长期用于治疗慢性腹泻腹痛的中药方剂,经常用于缓解IBS症状。虽然已经发表了一些关于它的研究,但对其作用效果还没有达成共识,并且最近又发表了新的相关研究。因此,需要系统评价和meta分析来评估中药通泻疗法治疗肠易激综合征的安全性和有效性。方法和分析:通过PubMed、EMBASE、Cochrane图书馆、CNKI、万方、VIP和CBM等数据库在没有日期和语言限制的情况下进行搜索。我们纳入随机对照试验将TXYF和另一种治疗IBS的方法进行对比。纳入研究的质量将在Cochrane手册5.1.0中使用偏倚风险工具进行独立评估,分类为偏倚风险低、不清楚或高。初级结果是主要症状消失和明显改善,二级结果包括直观类比标度(VAS)得分,不良事件,住院率和生活质量。荟萃分析将使用Cochrane的收集工具RevMan 5.3软件进行。结果:这项研究正在进行中,并将提交给同行评议的期刊发表。结论:本研究将为TXYF治疗IBS的安全性和有效性提供可靠证据。伦理与传播:由于本研究是基于文献的系统性评价和meta分析,因此不需要伦理审批和患者同意。这项研究的结果将提交给同行评议的期刊发表。 | Cuncun Lu Zhijiang Bi Kongyuan Wei Zhaochen Ji Long Ge Kehu Yang | 2018 | TMR Clinical Research2018，1，1： | 0 |
| 3 | A protocol for the reporting and methodological quality of robotic surgery case reports显示文摘背景:机器人手术是一种复杂且新兴的外科干预方法。近来机器人手术病例报告数量不断增加,但其报告和方法质量尚不清楚。方法:本文采用高特异度检索策略检索PubMed数据库去收集机器人手术相关病例报告,检索时间限定为2012年1月1日至2018年8月1日。用Microsoft Excel 2016生成随机数,并根据我们的纳入标准选择100个合适的机器人手术病例报告。采用数据提取表提取包括第一作者姓名,发表年份,期刊名称等信息。CARE指南和JBI检查表将被分别用于评价纳入病例报告的报告质量和方法学质量。数据提取和质量评价将由独立的两位作者完成,任何分歧将通过讨论或咨询第三个作者解决。同时将根据提取的信息进行分层分析。使用Review Manager 5.3软件(倒方差随机模型)合并与呈现分层分析的结果。结果:该项研究目前正在进行中,未来会将研究结果发表在同行评审的期刊上。结论:本研究将提供机器人手术病例报告的报告质量与方法学质量的证据,并为今后的病例报告提供借鉴与参考,但不仅限于机器人手术病例报告的报告。伦理与传播:由于本研究是基于已发表的机器人手术病例报告文献,因此,不需要伦理审查和患者知情同意。该研究结果将会提交给同行评审的期刊发表。 | Shuguo Niu Ming Liu Cuncun Lu Yuan Yuan Tingting Lu Long Ge Jinhui Tian | 2018 | TMR Clinical Research2018，1，2： | 0 |
| 4 | Pollutant exposure and health outcomes:protocol for a comprehensive umbrella review of meta-analyses and evidence mapping显示文摘Background:Many systematic reviews and meta-analyses(MAs)regarding the association between pollutant(e.g.,air pollution,noise pollution,and heavy metal pollution)exposure and health outcomes have been published recently,but there is still a lack of comprehensive research based on these MAs,and the evidence quality of these MAs are unknown.Therefore,we designed an umbrella review to address these gaps in knowledge.Methods:MAs that evaluated the association between pollutant exposure and health outcomes will be systematically searched through the PubMed and Embase databases in May 2021.Pairs of reviewers will conduct the study screening and data extraction independently,and cross-check the results.PRISMA and AMSTAR 2 will be used to evaluate the reporting and methodological quality of MAs included,respectively,and an evidence mapping method will be used to present the results.The corrected cover area(CCA)method will be used to assess the degree of overlap for included primary studies among MAs.The outcomes will be reanalyzed based on the random-effects model using the appropriate effect size,and the corresponding 95%confidence intervals will be reported.Meanwhile,sensitivity analysis and subgroup analysis will be used to explore heterogeneity.The GRADE method will be used to evaluate the evidence quality of outcome indicators.Stata 16.0 and Excel 2019 will be used for data analysis,and P<0.05 will be considered to indicate statistical significance.Results:The results of this umbrella review will be submitted to a peer-reviewed English journal for publication.Conclusion:We designed the first umbrella review to summarize evidence from MAs on the association between common pollutant exposure and health conditions.The results of this study will provide evidence for health policy makers to formulate appropriate health policies and researchers to conduct new studies. | Jing Qi Lufang Feng Jiemei Hu Haitong Zhao Jieyun Li Lixin Ke Xue Shang Kehu Yang Cuncun Lu | 2021 | Asian Toxicology Tesearch2021，3，3： | 0 |
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