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李帅, 孙傲伊, 孙可欣, 方凯, 胡永华. 中文遗传关联研究Meta分析文章报告质量评价[J]. 中国公共卫生, 2014, 30(4): 516-520. DOI: 10.11847/zgggws2014-30-04-45
引用本文: 李帅, 孙傲伊, 孙可欣, 方凯, 胡永华. 中文遗传关联研究Meta分析文章报告质量评价[J]. 中国公共卫生, 2014, 30(4): 516-520. DOI: 10.11847/zgggws2014-30-04-45
LI Shuai, SUN Ao-yi, SUN Ke-xin.et al, . Reporting quality of meta-analysis on genetic association studies published in Chinese journals[J]. Chinese Journal of Public Health, 2014, 30(4): 516-520. DOI: 10.11847/zgggws2014-30-04-45
Citation: LI Shuai, SUN Ao-yi, SUN Ke-xin.et al, . Reporting quality of meta-analysis on genetic association studies published in Chinese journals[J]. Chinese Journal of Public Health, 2014, 30(4): 516-520. DOI: 10.11847/zgggws2014-30-04-45

中文遗传关联研究Meta分析文章报告质量评价

Reporting quality of meta-analysis on genetic association studies published in Chinese journals

  • 摘要: 目的评价中文遗传关联研究Meta分析文章报告质量。方法按制定策略检索中文数据库收录的遗传关联研究Meta 分析文章,时间至2012年12月,2名研究者独立按制定纳入排除标准进行文章筛选,意见不一致时咨询第3位研究者,运用MOOSE规范对文章的报告质量进行评价。结果共纳入440篇文章,0.7%的文章陈述了研究假设,72.7%的文章报告了完整检索策略,15.2%的文章报告了处理只有摘要和未发表文献的方法,47.3%的文章报告了文献筛选方法,32.7%的文章评价了文献质量,8.6%的文章有流程图总结入选文献流程,32.0%的文章公布了研究资助来源。结论中文遗传关联研究Meta分析文章报告质量在报告研究假设、文献检索、只有摘要和未发表文献处理、文献筛选方法、文献质量评价、提供文献筛选流程图和公布资助来源等方面存在一定问题。

     

    Abstract: ObjectiveTo evaluate reporting quality of meta-analysis on genetic association studies published in Chinese journals.MethodsMeta-analysis of genetic association studies published in Chinese journals until December 2012 were searched through 4 Chinese electronic databases(China Biomedicine Database,China Knowledge Resource Integrated Database,Wanfang Data,and VIP Information).Articles selected by two researchers independently under definite inclusion and exclusion criteria were included in this study(consulting a third researcher if inconsistent opinions existed).Meta-analysis of observational studies in epidemiology(MOOSE)checklist was used to evaluate the reporting quality.ResultsTotally 440 articles were included in this study.Among the articles,0.7% stated their research hypotheses;72.7% reported their search strategies;15.2% reported the method of handling abstracts and unpublished studies;47.3% documented how data were classified and coded;32.7% reported the assessment of study quality;8.6% had graphic summarizing individual study estimates and overall estimate;and 32.0%disclosed the funding source.ConclusionMeta-analyses on genetic association studies published in Chinese journals should be improved in reporting quality,especially in statement of hypothesis,search strategy,method of handling grey literature,method of study selection,assessment of study quality,reporting flow chart,and disclosure of funding source.

     

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