Construct · 3 fields · 3 citations
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Gompertz's law of mortality holds that, across much of adult life, the force of mortality, the instantaneous risk of death, rises roughly exponentially with age, doubling over a roughly fixed interval. Gompertz's 1825 On the nature of the function expressive of the law of human mortality fitted this exponential-of-an-exponential form to life-table data and made it the backbone of actuarial mortality modelling. The referent is the age pattern of death rates in a population, and the same mathematical function reappears, unexpectedly, in tumour growth and in technological forecasting.[1]
In oncology the same curve, read as a growth model, describes how a tumour enlarges: fast when small, then decelerating as it grows, following the sigmoid Gompertz function toward a plateau. Laird's 1964 Dynamics of tumor growth showed that a wide range of experimental tumours fit the Gompertz equation, a result that still informs models of tumour kinetics and chemotherapy scheduling. It is mathematically the identical function Gompertz wrote for human mortality, here governing cell number over time rather than death rate over age.[2]
More generally the Gompertz function serves as a general-purpose sigmoid growth curve, used to model bounded growth of organisms and populations and the diffusion of technologies and products toward a saturation level. Winsor's 1932 The Gompertz curve as a growth curve set out its properties as a growth model and contrasted it with the logistic. The referent is bounded, asymmetric growth over time, the identical mathematical form as the mortality law and the tumour curve, applied to yet another system.[3]
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