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Absolute benefit, number needed to treat and gain in life expectancy: which efficacy indices for measuring the treatment benefit?
作者姓名:Kassai B  Gueyffier F  Boissel JP  Boutitie F  Cucherat M
摘    要:


Absolute benefit,number needed to treat and gain in life expectancy: which efficacy indices for measuring the treatment benefit?
Kassai B,Gueyffier F,Boissel JP,Boutitie F,Cucherat M.Absolute benefit,number needed to treat and gain in life expectancy: which efficacy indices for measuring the treatment benefit?[J].Journal of Clinical Epidemiology,2003,56(10):977-982.
Authors:Kassai Behrouz  Gueyffier François  Boissel Jean-Pierre  Boutitie Florent  Cucherat Michel
Institution:EA 643/Clinical Pharmacology Unit, Claude Bernard University, Facultá RTH Laennec, Rue Guillaume Paradin BP 8071-69376, Lyon 08, France. bkoupai@ucla.edu
Abstract:The absolute benefit (AB) is extensively used to summarize the results of clinical trials. As the AB depends directly on the patient's baseline risk, therapeutic decisions based on AB tend to favor patients at high risk. To evaluate the consequences of this decision's procedure for life-long therapy, we compare the AB with the gain in event-free life expectancy in a simulated hypertensive population. Our results show that the AB goes through a maximum and then declines as the duration of treatment increases. The amplitude of the variation of AB is independent of the baseline risks but the maximum is reached more quickly in the high-risk patients. Considering the gain in event-free life expectancy, low-risk patients benefit more than high-risk patients do, at the expense of a longer treatment exposure. The interpretation of the AB changes depending on follow-up.
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