Number Needed to Treat (NNT) represents the number of patients over a given time period that one would need to treat to achieve one additional study endpoint. As an example, in the PROSEVA trial of patients with severe ARDS, prone positioning decreased 28-day all-cause mortality compared to supine positioning (16% vs. 32.8%) with a NNT of 6. In ...

An overview of recent developments to estimate adjusted NNT measures in epidemiological and clinical trials is given. Examples from dentistry research are presented to illustrate the use and interpretation of adjusted NNTs. Additionally, other NNT-related effect measures, the so called impact numbers, are discussed. BASIC ISSUES

It is a simple statistical concept called the “Number-Needed-to-Treat”, or for short the ‘NNT’. The NNT offers a measurement of the impact of a medicine or therapy by estimating the number of patients that need to be treated in order to have an impact on one person.

The 1-year-death number needed to treat (NNT) standardizes comparisons of treatment impact by focusing on all-cause mortality 1 year from treatment initiation using NNT methodology to account for distinct baseline risks.

目前計算綜合分析nnt有兩種方法 (斯斯也有兩種): (1) 當做一個研究 (treat-as-one trial) 法 : 顧名思義，把綜合分析收納的每一個研究事件數加總，當做單一研究計算，這個方法非常易懂且簡單

2020年5月13日 · We provide in this article a clear and practical explanation on NNT computation methods that should be used in order to estimate its value, according to the type of study design and variables available to describe the event of interest, in any randomized controlled trial.

2021年6月11日 · 需治疗人数（Number Needed to Treat，NNT）又称需处理数，可把抽象的率转变为1个具体的频数，使临床试验结果转化为临床实践应用的指标，具有表达统计学意义及临床意义的双重作用，是一个衡量临床治疗效果、指导临床决策的有用工具。

2023年4月23日 · 所谓NNT就是Number needed to treat，需治疗人数。 今天咱们来说说NNT是什么，分析一下它到底有啥用。 首先我们来看看NNT的概念：NNT是指避免1例不良结局的发生或得到1例有益结果需要治疗的病例数。 它是治疗特异性指标，用来描述治疗组与对照组在获得某个特定临床结局上的差异。 在治疗性研究中，我们常常用相对值来表达疗效，比如RR值 (Relative risk)，通常指示的是试验组的不良结局的发生率与对照组的比值。 下面我们举个例子，通过对 …

2009年4月16日 · The number needed to treat (NNT) for benefit and harm are intuitive and statistically valid measures to describe a treatment effect. The aim of this study is to calculate treatment time-specific NNT estimates based on shifts over the entire spectrum of clinically relevant functional outcomes.

Because many people find it hard to think about small fractions, these kind of data are better understood when converted to the Number Needed to Treat or NNT. Enter the number of patients in each group who had the "good" or "bad" outcome, and this calculator will convert to NNT and explain the results.