Literature DB >> 22882888

Chapter 14: Comparing the adequacy of carcinogenesis models in estimating U.S. population rates for lung cancer mortality.

Theodore R Holford1, David T Levy.   

Abstract

The relationship between smoking and lung cancer is well established and cohort studies provide estimates of risk for individual cohorts. While population trends are qualitatively consistent with smoking trends, the rates do not agree well with results from analytical studies. Four carcinogenesis models for the effect of smoking on lung cancer mortality were used to estimate lung cancer mortality rates for U.S. males: two-stage clonal expansion and multistage models using parameters estimated from two Cancer Prevention Studies (CPS I and CPS II). Calibration was essential to adjust for both shift and temporal trend. The age-period-cohort model was used for calibration. Overall, models using parameters derived from CPS I performed best, and the corresponding two-stage clonal expansion model was best overall. However, temporal calibration did significantly improve agreement with the population rates, especially the effect of age and cohort.
© 2011 Society for Risk Analysis.

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Year:  2012        PMID: 22882888      PMCID: PMC3478769          DOI: 10.1111/j.1539-6924.2011.01734.x

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


  13 in total

1.  Cohort analysis of cigarette smoking and lung cancer incidence among Norwegian women.

Authors:  T Haldorsen; T K Grimsrud
Journal:  Int J Epidemiol       Date:  1999-12       Impact factor: 7.196

2.  Changes in mortality from smoking in two American Cancer Society prospective studies since 1959.

Authors:  M J Thun; C W Heath
Journal:  Prev Med       Date:  1997 Jul-Aug       Impact factor: 4.018

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Authors:  R Doll; R Peto; K Wheatley; R Gray; I Sutherland
Journal:  BMJ       Date:  1994-10-08

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Authors:  T R Holford
Journal:  Biometrics       Date:  1983-06       Impact factor: 2.571

5.  Statistical age-period-cohort analysis: a review and critique.

Authors:  L L Kupper; J M Janis; A Karmous; B G Greenberg
Journal:  J Chronic Dis       Date:  1985

6.  Multistage carcinogenesis and lung cancer mortality in three cohorts.

Authors:  William D Hazelton; Mark S Clements; Suresh H Moolgavkar
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2005-05       Impact factor: 4.254

7.  Lung cancer mortality in relation to age, duration of smoking, and daily cigarette consumption: results from Cancer Prevention Study II.

Authors:  W Dana Flanders; Cathy A Lally; Bao-Ping Zhu; S Jane Henley; Michael J Thun
Journal:  Cancer Res       Date:  2003-10-01       Impact factor: 12.701

8.  Cigarette smoking and bronchial carcinoma: dose and time relationships among regular smokers and lifelong non-smokers.

Authors:  R Doll; R Peto
Journal:  J Epidemiol Community Health (1978)       Date:  1978-12

9.  Lung cancer mortality is related to age in addition to duration and intensity of cigarette smoking: an analysis of CPS-I data.

Authors:  James D Knoke; Thomas G Shanks; Jerry W Vaughn; Michael J Thun; David M Burns
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2004-06       Impact factor: 4.254

10.  A model for the effect of cigarette smoking on lung cancer incidence in Connecticut.

Authors:  T R Holford; Z Zhang; T Zheng; L A McKay
Journal:  Stat Med       Date:  1996-03-30       Impact factor: 2.373

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  3 in total

1.  Chapter 12: Yale lung cancer model.

Authors:  Theodore R Holford; Keita Ebisu; Lisa McKay; Cheongeun Oh; Tongzhang Zheng
Journal:  Risk Anal       Date:  2012-07       Impact factor: 4.000

2.  Lung cancer in South Africa: a forecast to 2025 based on smoking prevalence data.

Authors:  Volker Winkler; Nosimanana J Mangolo; Heiko Becher
Journal:  BMJ Open       Date:  2015-03-17       Impact factor: 2.692

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

  3 in total

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