Quality of Adherence to the ARRIVE Guidelines in the Material and Methods Section in Studies Where Swine Were Used as Surgical Biomodels: A Systematic Review (2013-2018).

IF 2.6 3区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Jilma Alemán-Laporte, Gilbert Alvarado, Mariana Sa Garcia-Gomes, Ana Tada Fonseca Brasil Antiorio, Marco Zúñiga-Montero, Claudia Madalena Cabrera Mori
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引用次数: 0

Abstract

Over the last two decades, pigs have become animal biomodels widely used for the investigation and practice of surgical techniques because of their great physiological and anatomical similarities to humans. Even though many of these studies must be carried out later in humans, the description of basic information is limited, making exact repetitions of the reported experimental methods impossible. In this review, 108 studies from 2013 to 2018 were considered to determine the quality of adherence to the ARRIVE guidelines in the reports of the methodologies. The majority of the studies lacked the details recommended in the ARRIVE guidelines regarding data directly related to the welfare of animals undergoing surgery and those about anesthetic protocols and analgesics. Information related to sample size calculation and housing and husbandry conditions was also very limited. We believe that the ARRIVE guidelines are an excellent tool for good-quality reporting. We encourage scientists to consistently use them as a tool to improve the quality of their scientific reports and, consequently, ensure animal welfare.

在使用猪作为外科生物模型的研究中,材料和方法部分遵守 ARRIVE 指南的质量:系统回顾(2013-2018年)》。
在过去的二十年里,猪因其生理和解剖结构与人类极为相似,已成为广泛用于外科技术研究和实践的动物生物模型。尽管许多研究必须在人类身上进行,但基本信息的描述有限,因此不可能完全重复所报道的实验方法。在本次综述中,我们考虑了2013年至2018年的108项研究,以确定方法报告中遵守ARRIVE指南的质量。大多数研究缺乏ARRIVE指南中建议的与手术动物福利直接相关的数据细节,以及有关麻醉方案和镇痛剂的数据细节。与样本量计算以及饲养条件相关的信息也非常有限。我们相信,ARRIVE指南是高质量报告的绝佳工具。我们鼓励科学家坚持将其作为提高科学报告质量的工具,从而确保动物福利。
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
Journal of Systems Science & Complexity
Journal of Systems Science & Complexity 数学-数学跨学科应用
CiteScore
3.80
自引率
9.50%
发文量
90
审稿时长
6-12 weeks
期刊介绍: The Journal of Systems Science and Complexity is dedicated to publishing high quality papers on mathematical theories, methodologies, and applications of systems science and complexity science. It encourages fundamental research into complex systems and complexity and fosters cross-disciplinary approaches to elucidate the common mathematical methods that arise in natural, artificial, and social systems. Topics covered are: complex systems, systems control, operations research for complex systems, economic and financial systems analysis, statistics and data science, computer mathematics, systems security, coding theory and crypto-systems, other topics related to systems science.
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