Literature DB >> 22882886

Chapter 12: Yale lung cancer model.

Theodore R Holford1, Keita Ebisu, Lisa McKay, Cheongeun Oh, Tongzhang Zheng.   

Abstract

The age-period-cohort model is known to provide an excellent description of the temporal trends in lung cancer incidence and mortality. This analytic approach is extended to include the contribution of carcinogenesis models for smoking. Usefulness of this strategy is that it offers a way to temporally calibrate a model that is fitted to population data and it can be readily adopted for the consideration of many different models. In addition, it provides diagnostics that can suggest temporal limitations of a particular carcinogenesis model in describing population rates. Alternative carcinogenesis models can be embedded within this framework. The two-stage clonal expansion model is implemented here. The model was used to estimate the impact of tobacco control after dissemination of knowledge of the harmful effects of cigarette smoking by comparing the observed number of lung cancer deaths to those expected if there had been no control compared to an ideal of complete control in 1965. Results indicate that 35.2% and 26.5% of lung cancer deaths that could have been avoided actually were for males and females, respectively.
© 2011 Society for Risk Analysis.

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Year:  2012        PMID: 22882886      PMCID: PMC3662537          DOI: 10.1111/j.1539-6924.2011.01754.x

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  17 in total

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Journal:  Risk Anal       Date:  2012-07       Impact factor: 4.000

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  4 in total

1.  Chapter 8: The FHCRC lung cancer model.

Authors:  William D Hazelton; Jihyoun Jeon; Rafael Meza; Suresh H Moolgavkar
Journal:  Risk Anal       Date:  2012-07       Impact factor: 4.000

2.  Decreases in Smoking-Related Cancer Mortality Rates Are Associated with Birth Cohort Effects in Korean Men.

Authors:  Yon Ho Jee; Aesun Shin; Jong-Keun Lee; Chang-Mo Oh
Journal:  Int J Environ Res Public Health       Date:  2016-12-05       Impact factor: 3.390

3.  Predicting the Epidemiological Dynamics of Lung Cancer in Japan.

Authors:  Takayuki Yamaguchi; Hiroshi Nishiura
Journal:  J Clin Med       Date:  2019-03-08       Impact factor: 4.241

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Authors:  Steven D Criss; Deirdre F Sheehan; Lauren Palazzo; Chung Yin Kong
Journal:  PLoS Med       Date:  2018-02-07       Impact factor: 11.069

  4 in total

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