Literature DB >> 30989187

CP*Trends: An Online Tool for Comparing Cohort and Period Trends Across Cancer Sites.

Theodore R Holford1, Huann-Sheng Chen2, David Annett3, Martin Krapcho3, Asya Dorogaeva3, Eric J Feuer2.   

Abstract

Cohort or period components of trends can provide a rationale for new research or point to clues on the effectiveness of control strategies. Graphical display of trends guides models that quantify the experience of a population. In this paper, a method for smoothing rates by single year of age and year is developed and displayed to show the contributions of period and cohort to trends. The magnitude of the contribution of period and/or cohort in a model for trends may be assessed by the percentage of deviance explained and the relative contributions of cohort (C) and period (P) individually, known as the C-P score. The method is illustrated using Surveillance, Epidemiology, and End Results data (1975-2014) on lung and bronchial cancer mortality in females and prostate and colorectal cancer incidence in males. Smoothed age-period and age-cohort rates provide a useful first step in studies of etiology and the impact of disease control without imposing a restrictive model. We found that, in this data set, cohort predominates for female lung and bronchial cancer and period predominates for male prostate cancer. However, the effects change with age for male colorectal cancer incidence, indicating an age shift in relevant exposures. These methods are applied on an interactive website for both incidence and mortality at over 20 cancer sites in the United States. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health 2019.

Entities:  

Keywords:  age-period-cohort models; cancer incidence; cancer mortality; cohort trends; period trends; smooth rates

Mesh:

Year:  2019        PMID: 30989187      PMCID: PMC6601534          DOI: 10.1093/aje/kwz089

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  29 in total

Review 1.  The surveillance, epidemiology, and end results program: a national resource.

Authors:  B F Hankey; L A Ries; B K Edwards
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  1999-12       Impact factor: 4.254

Review 2.  Understanding the effects of age, period, and cohort on incidence and mortality rates.

Authors:  T R Holford
Journal:  Annu Rev Public Health       Date:  1991       Impact factor: 21.981

3.  Age-period-cohort models for the Lexis diagram.

Authors:  B Carstensen
Journal:  Stat Med       Date:  2007-07-10       Impact factor: 2.373

4.  How much can current interventions reduce colorectal cancer mortality in the U.S.? Mortality projections for scenarios of risk-factor modification, screening, and treatment.

Authors:  Iris Vogelaar; Marjolein van Ballegooijen; Deborah Schrag; Rob Boer; Sidney J Winawer; J Dik F Habbema; Ann G Zauber
Journal:  Cancer       Date:  2006-10-01       Impact factor: 6.860

5.  Reconstructing PSA testing patterns between black and white men in the US from Medicare claims and the National Health Interview Survey.

Authors:  Angela B Mariotto; Ruth Etzioni; Martin Krapcho; Eric J Feuer
Journal:  Cancer       Date:  2007-05-01       Impact factor: 6.860

6.  Annual report to the nation on the status of cancer, 1975-2006, featuring colorectal cancer trends and impact of interventions (risk factors, screening, and treatment) to reduce future rates.

Authors:  Brenda K Edwards; Elizabeth Ward; Betsy A Kohler; Christie Eheman; Ann G Zauber; Robert N Anderson; Ahmedin Jemal; Maria J Schymura; Iris Lansdorp-Vogelaar; Laura C Seeff; Marjolein van Ballegooijen; S Luuk Goede; Lynn A G Ries
Journal:  Cancer       Date:  2010-02-01       Impact factor: 6.860

7.  The Danish Cancer Registry.

Authors:  Marianne Lundkjær Gjerstorff
Journal:  Scand J Public Health       Date:  2011-07       Impact factor: 3.021

8.  Adverse health outcomes in women exposed in utero to diethylstilbestrol.

Authors:  Robert N Hoover; Marianne Hyer; Ruth M Pfeiffer; Ervin Adam; Brian Bond; Andrea L Cheville; Theodore Colton; Patricia Hartge; Elizabeth E Hatch; Arthur L Herbst; Beth Y Karlan; Raymond Kaufman; Kenneth L Noller; Julie R Palmer; Stanley J Robboy; Robert C Saal; William Strohsnitter; Linda Titus-Ernstoff; Rebecca Troisi
Journal:  N Engl J Med       Date:  2011-10-06       Impact factor: 91.245

9.  Colorectal cancer screening and surveillance: clinical guidelines and rationale-Update based on new evidence.

Authors:  Sidney Winawer; Robert Fletcher; Douglas Rex; John Bond; Randall Burt; Joseph Ferrucci; Theodore Ganiats; Theodore Levin; Steven Woolf; David Johnson; Lynne Kirk; Scott Litin; Clifford Simmang
Journal:  Gastroenterology       Date:  2003-02       Impact factor: 22.682

10.  Changes in colorectal cancer incidence rates in young and older adults in the United States: what does it tell us about screening.

Authors:  Harland Austin; S Jane Henley; Jessica King; Lisa C Richardson; Christie Eheman
Journal:  Cancer Causes Control       Date:  2013-11-19       Impact factor: 2.506

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  1 in total

1.  Survival model methods for analyses of cancer incidence trends in young adults.

Authors:  Wan Yang; Rebecca D Kehm; Mary Beth Terry
Journal:  Stat Med       Date:  2020-02-05       Impact factor: 2.373

  1 in total

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