How many subjects are enough in a veterinary trial?—Literature review and insights from industrial statisticians

IF 1.8 3区 农林科学 Q1 VETERINARY SCIENCES Research in veterinary science Pub Date : 2025-02-10 DOI:10.1016/j.rvsc.2025.105569
Zikun Wang , Qi Cao , Qingzhi Liu , Divine Dufe , Pieter Wouters , Lijuan Deng , Annpey Pong
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Abstract

To approve veterinary medicines, regulatory agencies require substantial evidence of safety and effectiveness from well-designed trials. A critical consideration in planning a veterinary trial is to determine the requisite number of subjects needed to achieve the trial objective(s). Sample sizes for preclinical studies usually follow specific guidelines, whereas clinical studies should follow more rigorous requirements to determine the optimal sample size for detecting significant and meaningful treatment effects. This paper presents a descriptive literature review aiming to explore current reported practices in sample size calculation for published veterinary clinical trials. The review included articles published in 12 top-ranking veterinary health journals from January 1, 2013, to June 4, 2023, sourced from PubMed and Medline regarding animal trials. Initially, 294 articles were identified, of which 98 (33 %) focused on veterinary clinical studies. Among these 98 papers, only 24 (24 %) provided detailed methods on sample size calculations, with individual animals as experimental units across at least two arms. The predominant animal species studied in these trials were canines (39 %), cattle (32 %), and swine (21 %), with most studies aiming for a statistical power of at least 80 %. Unlike human clinical trials, the paper found that statistically rigorous sample size calculations were less commonly reported in animal clinical trials. Our paper provides recommendations for veterinary clinical trial practitioners and offers insights into how sample size determination can be properly conducted and reported. Furthermore, this article extends to discuss practical issues in sample size determination for preclinical studies.
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兽医试验需要多少受试者才足够?
为了批准兽药,监管机构需要从精心设计的试验中获得大量安全性和有效性的证据。规划兽医试验的一个关键考虑因素是确定实现试验目标所需的受试者数量。临床前研究的样本量通常遵循特定的指导方针,而临床研究则应遵循更严格的要求,以确定检测显著和有意义的治疗效果的最佳样本量。本文介绍了一篇描述性文献综述,旨在探讨目前报道的兽医临床试验的样本量计算方法。该综述包括2013年1月1日至2023年6月4日发表在12份顶级兽医健康期刊上的文章,来源为PubMed和Medline,涉及动物试验。最初,294篇文章被确定,其中98篇(33%)集中在兽医临床研究。在这98篇论文中,只有24篇(24%)提供了样本大小计算的详细方法,将个体动物作为至少两个手臂的实验单位。在这些试验中研究的主要动物物种是犬(39%)、牛(32%)和猪(21%),大多数研究的目标是统计力至少为80%。与人类临床试验不同,该论文发现,在动物临床试验中,统计上严格的样本量计算较少被报道。我们的论文为兽医临床试验从业者提供了建议,并提供了如何正确进行和报告样本量确定的见解。此外,本文扩展到讨论临床前研究中样本量确定的实际问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Research in veterinary science
Research in veterinary science 农林科学-兽医学
CiteScore
4.40
自引率
4.20%
发文量
312
审稿时长
75 days
期刊介绍: Research in Veterinary Science is an International multi-disciplinary journal publishing original articles, reviews and short communications of a high scientific and ethical standard in all aspects of veterinary and biomedical research. The primary aim of the journal is to inform veterinary and biomedical scientists of significant advances in veterinary and related research through prompt publication and dissemination. Secondly, the journal aims to provide a general multi-disciplinary forum for discussion and debate of news and issues concerning veterinary science. Thirdly, to promote the dissemination of knowledge to a broader range of professions, globally. High quality papers on all species of animals are considered, particularly those considered to be of high scientific importance and originality, and with interdisciplinary interest. The journal encourages papers providing results that have clear implications for understanding disease pathogenesis and for the development of control measures or treatments, as well as those dealing with a comparative biomedical approach, which represents a substantial improvement to animal and human health. Studies without a robust scientific hypothesis or that are preliminary, or of weak originality, as well as negative results, are not appropriate for the journal. Furthermore, observational approaches, case studies or field reports lacking an advancement in general knowledge do not fall within the scope of the journal.
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