在生物医学研究中使用和解读调整后的NNT指标
Using and Interpreting Adjusted NNT Measures in Biomedical Research.
作者信息
Bender Ralf
机构信息
Department of Medical Biometry, Institute for Quality and Efficiency in Health Care (IQWiG), Cologne, Germany.
出版信息
Open Dent J. 2010 Jul 16;4:72-6. doi: 10.2174/1874210601004020072.
The number needed to treat (NNT) is a popular effect measure to present study results in biomedical research. NNTs were originally proposed to describe the absolute effect of a new treatment compared with a standard treatment or placebo in randomized controlled trials (RCTs) with binary outcome. The concept of the NNT measure has been applied to a number of other research areas involving the development of related measures and more sophisticated techniques to calculate and interpret NNT measures in biomedical research. In epidemiology and public health research an adequate adjustment for covariates is usually required leading to the application of adjusted NNT measures. An overview of the recent developments regarding adjustment of NNT measures is given. The use and interpretation of adjusted NNT measures is illustrated by means of examples from dentistry research.
需治疗人数（NNT）是生物医学研究中用于呈现研究结果的一种常用效应量度。NNT最初是为描述在具有二元结局的随机对照试验（RCT）中，新治疗与标准治疗或安慰剂相比的绝对效应而提出的。NNT量度的概念已应用于许多其他研究领域，包括相关量度的发展以及在生物医学研究中计算和解释NNT量度的更复杂技术。在流行病学和公共卫生研究中，通常需要对协变量进行适当调整，从而导致调整后的NNT量度的应用。本文给出了关于NNT量度调整的最新进展概述。通过牙科研究的实例说明了调整后NNT量度的使用和解释。
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