对已发表的临床试验进行可信度评估:有关领域和问题的文献综述

Zarko Alfirevic, Jo Weeks
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引用次数: 0

摘要

背景 从历史上看,同行评审主要关注研究问题/假设的重要性、研究方法的适当性、偏见风险和写作质量。直到最近,由于缺乏意识和适当的工具/培训,与可信度相关的问题--包括但不限于剽窃和欺诈--在很大程度上被忽视了。我们试图找出所有涉及可信度评估问题的相关论文,以确定建议作为任何此类评估不可分割的一部分的关键领域。 方法 我们在文献中搜索了用于或建议用于评估随机试验可信度的工具、核对表或方法。我们从收录的出版物中提取了数据项(问题),并在 Excel 上进行了转录,其中包括评估领域。然后,两位作者按照五个领域(管理、可信度、剽窃、报告和统计)对每个数据项进行独立重新分类。 结果 从 41 篇出版物中,我们共提取了 284 个问题,并将 77 个汇总问题归纳为五个领域:管理(13 个问题)、可信度(17 个问题)、剽窃(4 个问题)、报告(29 个问题)和统计(14 个问题)。 结论 建议的领域和问题菜单应鼓励同行评审员、编辑、系统评审员和指南制定者参与更正式的可信度评估。方法论专家应致力于确定哪些领域和问题应被视为必选,哪些领域和问题可根据可用资源情况选择,哪些领域和问题因缺乏鉴别力而可放弃。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Trustworthiness assessment of published clinical trials: Literature review of domains and questions

Trustworthiness assessment of published clinical trials: Literature review of domains and questions

Background

Historically, peer reviewing has focused on the importance of research questions/hypotheses, appropriateness of research methods, risk of bias, and quality of writing. Until recently, the issues related to trustworthiness—including but not limited to plagiarism and fraud—have been largely neglected because of lack of awareness and lack of adequate tools/training. We set out to identify all relevant papers that have tackled the issue of trustworthiness assessment to identify key domains that have been suggested as an integral part of any such assessment.

Methods

We searched the literature for publications of tools, checklists, or methods used or proposed for the assessment of trustworthiness of randomized trials. Data items (questions) were extracted from the included publications and transcribed on Excel including the assessment domain. Both authors then independently recategorised each data item in five domains (governance, plausibility, plagiarism, reporting, and statistics).

Results

From the 41 publications we extracted a total of 284 questions and framed 77 summary questions grouped in five domains: governance (13 questions), plausibility (17 questions), plagiarism (4 questions), reporting (29 questions), and statistics (14 questions).

Conclusion

The proposed menu of domains and questions should encourage peer reviewers, editors, systematic reviewers and developers of guidelines to engage in a more formal trustworthiness assessment. Methodologists should aim to identify the domains and questions that should be considered mandatory, those that are optional depending on the resources available, and those that could be discarded because of lack of discriminatory power.

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