Citrome Leslie
Department of Psychiatry, New York University School of Medicine, USA.
South Med J. 2007 Sep;100(9):881-4. doi: 10.1097/SMJ.0b013e3180f63246.
This article reviews one of the basic tools of evidence-based medicine, the calculation and interpretation of Number Needed to Treat (NNT) and Number Needed to Harm (NNH). Especially appealing is the simplicity of extracting this information from journal articles that report binary outcomes, such as medication response or emergence of adverse events. On-line resources and calculators can help the clinician in determining confidence intervals for these metrics. After a discussion of absolute versus relative risk, P-values, and the mechanics of calculating NNT and NNH, the application of NNT and NNH to a large clinical trial, the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) for schizophrenia, is described.
本文回顾了循证医学的基本工具之一,即治疗所需人数(NNT)和伤害所需人数(NNH)的计算与解读。从报告二元结局(如药物反应或不良事件出现情况)的期刊文章中提取此类信息,其简便性尤具吸引力。在线资源和计算器可帮助临床医生确定这些指标的置信区间。在讨论了绝对风险与相对风险、P值以及NNT和NNH的计算方法之后,本文描述了NNT和NNH在一项大型临床试验——精神分裂症干预有效性临床抗精神病药物试验(CATIE)中的应用。