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Importance of Systematic Reviews and Meta-analyses of Animal Studies: Challenges for Animal-to-Human Translation

机译:系统评价和荟萃分析的重要性:动物对人类翻译的挑战

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摘要

Results of animal experiments are used for understanding the pathophysiology of diseases, assessing safety and efficacy of newly developed drugs, and monitoring environmental health hazards among others. Systematic reviews and meta-analyses of animal data are important tools to condense animal evidence and translate the data into practical clinical applications. Such studies are conducted to explore heterogeneity, to generate new hypotheses about pathophysiology and treatment, to design new clinical trial modalities, and to test the efficacy and the safety of the various interventions. Here, we provide an overview regarding the importance of systematic reviews and meta-analyses of animal data and discuss common challenges and their potential solutions. Current evidence highlights various problems and challenges that surround these issues, including lack of generalizability of data obtained from animal models, failure in translating data obtained from animals to humans, poor experimental design and the reporting of the animal studies, heterogeneity of the data collected, and methodologic weaknesses of animal systematic reviews and meta-analyses. Systematic reviews and meta-analyses of animal studies can catalyze translational processes more effectively if they focus on a well-defined hypothesis along with addressing clear inclusion and exclusion criteria, publication bias, heterogeneity of the data, and a coherent and well-balanced assessment of studies' quality.
机译:动物实验的结果用于了解疾病的病理生理学,评估新开发的药物的安全性和功效,并监测环境健康危害。动物数据的系统评价和荟萃分析是凝结动物证据并将数据转化为实际临床应用的重要工具。进行这些研究以探索异质性,产生关于病理生理学和治疗的新假设,以设计新的临床试验方式,并测试各种干预措施的疗效和安全性。在这里,我们提供了有关系统评论和荟萃分析动物数据的重要性,并讨论共同挑战及其潜在解决方案。目前的证据强调了围绕这些问题的各种问题和挑战,包括缺乏从动物模型中获得的数据的普遍性,失败将从动物获得的数据转化为人类,差的实验设计和动物研究报告,收集的数据的异质性,动物系统评论和荟萃分析的方法论弱点。动物研究的系统评价和荟萃分析可以更有效地催化转化过程,如果他们关注明确定义的假设以及解决清晰的包含和排除标准,出版物偏见,数据的异质性以及相干和平衡的评估研究质量。

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