Literature DB >> 31087384

Partitioning of time trends in prevalence and mortality of lung cancer.

Igor Akushevich1, Julia Kravchenko2, Arseniy P Yashkin1, Fang Fang3, Anatoliy I Yashin1.   

Abstract

BACKGROUND: Time trends of lung cancer prevalence and mortality are the result of three competing processes: changes in the incidence rate, stage-specific survival, and ascertainment at early stages. Improvements in these measures act concordantly to improve disease-related mortality, but push the prevalence rate in opposite directions making a qualitative interpretation difficult. The goal of this paper is to evaluate the relative contributions of these components to changes in lung cancer prevalence and mortality.
METHODS: Partitioning of prevalence and mortality trends into their components using SEER data for 1973-2013.
RESULTS: The prevalence of lung cancer increases for females and decreases for males. In 1998, the former was due to increased incidence (45%-50% of total trend), improved survival (40%-45%), and increased ascertainment at early stages (10%-15%). In males, a rapidly declining incidence rate overpowered the effects of survival and ascertainment resulting in an overall decrease in prevalence over time. Trends in lung cancer mortality are determined by incidence during 1993-2002 with noticeable contribution of survival after 2002.
CONCLUSION: Lung cancer incidence was the main driving force behind trends in prevalence and mortality. Improved survival played essential role from 2000 onwards. Trends in stage ascertainment played a small but adverse role. Our results suggest that further improvement in lung cancer mortality can be achieved through advances in early stage ascertainment, especially for males, and that in spite of success in treatment, adenocarcinoma continues to exhibit adverse trends (especially in female incidence) and its role among other histology-specific lung cancers will increase in the near future.
© 2019 John Wiley & Sons, Ltd.

Entities:  

Keywords:  decomposition; incidence; partitioning; relative survival; time trends

Mesh:

Year:  2019        PMID: 31087384     DOI: 10.1002/sim.8170

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  6 in total

1.  Partitioning of time trends in prevalence and mortality of bladder cancer in the United States.

Authors:  Igor Akushevich; Arseniy P Yashkin; Brant A Inman; Frank Sloan
Journal:  Ann Epidemiol       Date:  2020-06-03       Impact factor: 3.797

2.  A personalized image-guided intervention system for peripheral lung cancer on patient-specific respiratory motion model.

Authors:  Tengfei Wang; Tiancheng He; Zhenglin Zhang; Qi Chen; Liwei Zhang; Guoren Xia; Lizhuang Yang; Hongzhi Wang; Stephen T C Wong; Hai Li
Journal:  Int J Comput Assist Radiol Surg       Date:  2022-05-31       Impact factor: 3.421

3.  Geographic disparities in mortality from Alzheimer's disease and related dementias.

Authors:  Igor Akushevich; Arseniy P Yashkin; Anatoliy I Yashin; Julia Kravchenko
Journal:  J Am Geriatr Soc       Date:  2021-05-19       Impact factor: 7.538

4.  Underlying mechanisms of change in cancer prevalence in older U.S. adults: contributions of incidence, survival, and ascertainment at early stages.

Authors:  I Akushevich; A Yashkin; M Kovtun; A I Yashin; J Kravchenko
Journal:  Cancer Causes Control       Date:  2022-07-07       Impact factor: 2.532

5.  Epidemiology of geographic disparities in heart failure among US older adults: a Medicare-based analysis.

Authors:  Bin Yu; Igor Akushevich; Arseniy P Yashkin; Anatoliy I Yashin; H Kim Lyerly; Julia Kravchenko
Journal:  BMC Public Health       Date:  2022-07-01       Impact factor: 4.135

6.  Analysis of Time Trends in Alzheimer's Disease and Related Dementias Using Partitioning Approach.

Authors:  Igor Akushevich; Arseniy P Yashkin; Julia Kravchenko; Anatoliy I Yashin
Journal:  J Alzheimers Dis       Date:  2021       Impact factor: 4.472

  6 in total

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