Literature DB >> 1536916

A standard person-years approach to estimating lifetime cancer risk. The Section of Chronic Disease and Environmental Epidemiology Minnesota Department of Health.

A P Bender1, J Punyko, A N Williams, S A Bushhouse.   

Abstract

Several methods have been used to estimate the lifetime probability of cancer, such as simple cumulative incidence or competing risk models. These methods are characterized by either simplistic assumptions or detailed computations. The standard person-years method, that parallels cohort analyses, offers a simpler and more accurate method of approximating the lifetime risks of cancer. Since lifetime cancer risk refers to the aggregate risk to a cohort rather than the risk to an individual, it is suggested that a new term, population cancer risk, be used in describing these risks. A reasonable definition for the population cancer risk is the expected number of cancers in the lifetimes of 1,000 people. Estimates of lifetime risks of cancer are interpreted best as a composite measure of the joint forces of cancer morbidity and all-cause mortality at a point in time. The overall population cancer risk (lifetime risk) for residents of Minnesota (United States) is calculated to be 465 cancers/1,000 people; national data provide similar results.

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Year:  1992        PMID: 1536916     DOI: 10.1007/bf00051915

Source DB:  PubMed          Journal:  Cancer Causes Control        ISSN: 0957-5243            Impact factor:   2.506


  11 in total

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Authors:  J CORNFIELD
Journal:  Am J Public Health Nations Health       Date:  1957-05

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Journal:  J Natl Cancer Inst       Date:  1956-08       Impact factor: 13.506

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Journal:  Am J Epidemiol       Date:  1977-07       Impact factor: 4.897

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Journal:  CA Cancer J Clin       Date:  1978 Jan-Feb       Impact factor: 508.702

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Authors:  I D Hill
Journal:  Br J Prev Soc Med       Date:  1972-05

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Authors:  B S Schoenberg; R A Greenberg; H Eisenberg
Journal:  J Natl Cancer Inst       Date:  1969-07       Impact factor: 13.506

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Authors: 
Journal:  Natl Cancer Inst Monogr       Date:  1981-06

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Authors:  D T Janerich
Journal:  J Natl Cancer Inst       Date:  1984-06       Impact factor: 13.506

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Authors:  J T Flannery; J D Boice; S S Devesa; R A Kleinerman; R E Curtis; J F Fraumeni
Journal:  Natl Cancer Inst Monogr       Date:  1985-12

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Authors:  D Schottenfeld; J Berg
Journal:  J Natl Cancer Inst       Date:  1971-01       Impact factor: 13.506

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  3 in total

1.  Estimating lifetime and age-conditional probabilities of developing cancer.

Authors:  L M Wun; R M Merrill; E J Feuer
Journal:  Lifetime Data Anal       Date:  1998       Impact factor: 1.588

2.  The future excess fraction model for calculating burden of disease.

Authors:  Lin Fritschi; Jayzii Chan; Sally J Hutchings; Tim R Driscoll; Adrian Y W Wong; Renee N Carey
Journal:  BMC Public Health       Date:  2016-05-11       Impact factor: 3.295

3.  The Risk of Cancer Might be Lower Than We Think. Alternatives to Lifetime Risk Estimates.

Authors:  Gilat L Grunau; Shay Gueron; Boris Pornov; Shai Linn
Journal:  Rambam Maimonides Med J       Date:  2018-01-29
  3 in total

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