Suppr超能文献

使用行政数据、患者报告结局还是医师评估毒性来评估治疗相关毒性:真相在哪里?

Assessing Treatment-Related Toxicity Using Administrative Data, Patient-Reported Outcomes, or Physician-Graded Toxicity: Where Is the Truth?

机构信息

Department of Urology, New York Presbyterian-Weill Cornell Medical College, New York, NY.

Department of Urology, New York Presbyterian-Weill Cornell Medical College, New York, NY.

出版信息

Semin Radiat Oncol. 2019 Oct;29(4):333-337. doi: 10.1016/j.semradonc.2019.05.007.

Abstract

The accurate determination of the frequency and severity of treatment-related complications is vital to informing patients and clinicians in their decision-making process. In published studies, complications are assed via administrative data, patient-reported outcomes, and physician-graded toxicity, each with their strengths and limitations. Administrative data provide a vast, accessible history of patient data, but are limited in the ability to accurately capture diagnosis and causality, and are subject to differing interpretations of billing codes. Patient-reported outcomes provide direct and nuanced descriptions of both symptoms and bother; but are by definition subjective, affected by nonrespondents, and results (scores) are often difficult to interpret for patients and clinicians alike. Physician-graded toxicity is a relatively more objective measure, but relies on both clinicians fully assessing all relevant symptoms and patients accurately reporting them to the clinician. Understanding these strengths and limitations will help clinicians become more informed readers of the published literature.

摘要

准确确定与治疗相关的并发症的频率和严重程度对于在决策过程中为患者和临床医生提供信息至关重要。在已发表的研究中,并发症通过管理数据、患者报告的结果和医生分级毒性进行评估,每种方法都有其优点和局限性。管理数据提供了患者数据的广泛、可访问的历史记录,但在准确捕捉诊断和因果关系方面的能力有限,并且受到计费代码不同解释的影响。患者报告的结果提供了症状和困扰的直接和细致描述;但定义上是主观的,受到无响应者的影响,并且结果(分数)对患者和临床医生来说通常难以解释。医生分级毒性是一种相对更客观的衡量标准,但依赖于临床医生全面评估所有相关症状以及患者准确向临床医生报告这些症状。了解这些优缺点将帮助临床医生成为已发表文献的更有见识的读者。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验