Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Biometry and Clinical Epidemiology, Berlin, Germany.
Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Informatics, Berlin, Germany.
Biom J. 2023 Feb;65(2):e2200061. doi: 10.1002/bimj.202200061. Epub 2022 Sep 7.
Any experiment involving living organisms requires justification of the need and moral defensibleness of the study. Statistical planning, design, and sample size calculation of the experiment are no less important review criteria than general medical and ethical points to consider. Errors made in the statistical planning and data evaluation phase can have severe consequences on both results and conclusions. They might proliferate and thus impact future trials-an unintended outcome of fundamental research with profound ethical consequences. Unified statistical standards are currently missing for animal review boards in Germany. In order to accompany, we developed a biometric form to be filled and handed in with the proposal at the concerned local authority on animal welfare. It addresses relevant points to consider for biostatistical planning of animal experiments and can help both the applicants and the reviewers in overseeing the entire experiment(s) planned. Furthermore, the form might also aid in meeting the current standards set by the 3+3R's principle of animal experimentation: Replacement, Reduction, Refinement as well as Robustness, Registration, and Reporting. The form has already been in use by the concerned local authority of animal welfare in Berlin, Germany. In addition, we provide reference to our user guide giving more detailed explanation and examples for each section of the biometric form. Unifying the set of biostatistical aspects will help both the applicants and the reviewers to equal standards and increase quality of preclinical research projects, also for translational, multicenter, or international studies.
任何涉及活体生物的实验都需要证明研究的必要性和道德合理性。实验的统计规划、设计和样本量计算与一般医学和伦理考虑一样,是同等重要的审查标准。统计规划和数据评估阶段的错误可能对结果和结论产生严重影响。这些错误可能会扩散,从而影响未来的试验——这是基础研究带来的意想不到的后果,具有深远的伦理影响。目前,德国的动物审查委员会缺乏统一的统计标准。为了提供帮助,我们开发了一种生物计量表格,在向当地动物福利机构提交提案时填写并提交。它涉及动物实验生物统计学规划的相关考虑要点,并可以帮助申请人和审查员监督计划中的整个实验。此外,该表格还可以帮助满足动物实验的 3R 原则(替代、减少、优化)以及稳健性、注册和报告所设定的当前标准。该表格已经在德国柏林的相关动物福利地方当局使用。此外,我们还提供了对用户指南的参考,其中更详细地解释了生物计量表格每个部分的示例。统一生物统计学方面的标准将有助于申请人和审查员达到同等标准,并提高临床前研究项目的质量,也有助于转化、多中心或国际研究。