Ritti-Dias Raphael Mendes, Correia Marilia de Almeida, Farah Breno Quintella
Universidade Nove de Julho, São Paulo, SP, Brazil.
Universidade Federal Rural de Pernambuco, Recife, PE, Brazil.
Einstein (Sao Paulo). 2019 Nov 25;18:eAE4729. doi: 10.31744/einstein_journal/2020AE4729. eCollection 2020.
Randomized controlled trials are known to be the best tool to determine the effects of an intervention; however, most healthcare professionals are not able to adequately understand the results. In this report, concepts, applications, examples, and advantages of using visual data as a complementary tool in the results section of original articles are presented. Visual simplification of data presentation will improve general understanding of clinical research.
随机对照试验是确定一项干预措施效果的最佳工具,然而,大多数医疗保健专业人员无法充分理解其结果。在本报告中,介绍了在原创文章的结果部分将视觉数据用作补充工具的概念、应用、示例及优势。对数据呈现进行视觉简化将提高对临床研究的总体理解。