Rauh Shelby, Torgerson Trevor, Johnson Austin L, Pollard Jonathan, Tritz Daniel, Vassar Matt
1Oklahoma State University Center for Health Sciences, 1111 W 17th St, Tulsa, OK 74137 USA.
2Kansas City University of Medicine and Biosciences, Kansas City, MO USA.
Res Integr Peer Rev. 2020 Feb 28;5:5. doi: 10.1186/s41073-020-0091-5. eCollection 2020.
The objective of this study was to evaluate the nature and extent of reproducible and transparent research practices in neurology publications.
The NLM catalog was used to identify MEDLINE-indexed neurology journals. A PubMed search of these journals was conducted to retrieve publications over a 5-year period from 2014 to 2018. A random sample of publications was extracted. Two authors conducted data extraction in a blinded, duplicate fashion using a pilot-tested Google form. This form prompted data extractors to determine whether publications provided access to items such as study materials, raw data, analysis scripts, and protocols. In addition, we determined if the publication was included in a replication study or systematic review, was preregistered, had a conflict of interest declaration, specified funding sources, and was open access.
Our search identified 223,932 publications meeting the inclusion criteria, from which 400 were randomly sampled. Only 389 articles were accessible, yielding 271 publications with empirical data for analysis. Our results indicate that 9.4% provided access to materials, 9.2% provided access to raw data, 0.7% provided access to the analysis scripts, 0.7% linked the protocol, and 3.7% were preregistered. A third of sampled publications lacked funding or conflict of interest statements. No publications from our sample were included in replication studies, but a fifth were cited in a systematic review or meta-analysis.
Currently, published neurology research does not consistently provide information needed for reproducibility. The implications of poor research reporting can both affect patient care and increase research waste. Collaborative intervention by authors, peer reviewers, journals, and funding sources is needed to mitigate this problem.
本研究的目的是评估神经病学出版物中可重复和透明研究实践的性质和程度。
使用美国国立医学图书馆(NLM)目录识别MEDLINE索引的神经病学期刊。对这些期刊进行PubMed搜索,以检索2014年至2018年5年间的出版物。提取随机样本的出版物。两位作者使用经过预测试的谷歌表单以盲法、重复方式进行数据提取。该表单促使数据提取者确定出版物是否提供对研究材料、原始数据、分析脚本和方案等项目的访问权限。此外,我们确定该出版物是否包含在复制研究或系统评价中、是否进行了预注册、是否有利益冲突声明、是否指明了资金来源以及是否为开放获取。
我们的搜索识别出223,932篇符合纳入标准的出版物,从中随机抽取了400篇。只有389篇文章可获取,得到271篇有实证数据可供分析的出版物。我们的结果表明,9.4%的出版物提供了材料访问权限,9.2%提供了原始数据访问权限,0.7%提供了分析脚本访问权限,0.7%链接了方案,3.7%进行了预注册。三分之一的抽样出版物缺乏资金或利益冲突声明。我们样本中的出版物没有一篇包含在复制研究中,但五分之一的出版物在系统评价或荟萃分析中被引用。
目前,已发表的神经病学研究并未始终提供可重复性所需的信息。研究报告不佳的影响既会影响患者护理,也会增加研究浪费。作者、同行评审员、期刊和资金来源需要进行协作干预以缓解这一问题。