Literature DB >> 24789847

The natural history of cervical cancer in chinese women: results from an 11-year follow-up study in china using a multistate model.

Shao-Kai Zhang1, Le-Ni Kang1, Irene J Chang2, Fang-Hui Zhao1, Shang-Ying Hu1, Wen Chen1, Ju-Fang Shi1, Xun Zhang3, Qin-Jing Pan3, Shu-Min Li4, You-Lin Qiao5.   

Abstract

BACKGROUND: It is important to understand the natural history of cervical cancer, which has implications for cancer prevention and management. However, a dearth of studies on the long-term development of cervical cancer exists in China.
METHODS: We investigated the natural history of cervical cancer in Chinese women by creating a multistate model using 11 years of follow-up data from the Shanxi Province Cervical Cancer Screening Study I conducted from 1999 to 2010. In 1999, a total of 1,997 eligible women, ages 35 to 45 years, were enrolled in Xiangyuan County, Shanxi Province. Participants were followed up in 2005 and 2010, respectively.
RESULTS: The average time a subject spent in CIN1 before transiting into another state was 1.4693 years [95% confidence interval (CI): 1.1215-1.9251] and the average time a subject spent in CIN2 was 2.9822 years (95% CI: 1.9790-4.4938). A subject's transition probability from CIN1 to normal increased with time. However, the transition probability from CIN1 to CIN2 was relatively lower, with 3-, 5-, and 10-year transition probabilities of 0.1415, 0.1066, and 0.0437. Comparison of 5-year transition probabilities between CIN2 to normal/CIN1 and CIN2 to CIN3(+) yielded a ratio of 2.74.
CONCLUSIONS: Women with CIN1 had a substantial tendency for regression. Similarly, women with CIN2 had a higher probability of regression to normal/CIN1 than progression to CIN3(+). Findings in this study may have significant implications for the development and evaluation of formal cervical cancer preventive strategies in China. IMPACT: This study may serve as a valuable reference to future research on other multistate cancer processes. ©2014 American Association for Cancer Research.

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Year:  2014        PMID: 24789847     DOI: 10.1158/1055-9965.EPI-13-0846

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  6 in total

1.  Assessing type I error and power of multistate Markov models for panel data-A simulation study.

Authors:  Christy Cassarly; Renee' H Martin; Marc Chimowitz; Edsel A Peña; Viswanathan Ramakrishnan; Yuko Y Palesch
Journal:  Commun Stat Simul Comput       Date:  2016-09-23       Impact factor: 1.118

2.  Effect of beclin 1 expression on the biological behavior and chemotherapy sensitivity of cervical cancer cells.

Authors:  Yongxin Zhang; Shuang Lin; Yue Zhang; Suwen Chang
Journal:  Oncol Lett       Date:  2016-05-06       Impact factor: 2.967

3.  The Incidence and Mortality of Cervical Cancer in Ningbo during 2006-2014, China.

Authors:  Hui Li; Donghui Duan; Jiaying Xu; Qinghai Gong; Yong Wang; Wei Ji; Lingbin DU; Liyuan Han; Guozhang Xu
Journal:  Iran J Public Health       Date:  2017-10       Impact factor: 1.429

4.  p16/Ki-67 co-expression associates high risk human papillomavirus persistence and cervical histopathology: a 3-year cohort study in China.

Authors:  Lu-Lu Yu; Hui-Qin Guo; Xiao-Qin Lei; Yu Qin; Ze-Ni Wu; Le-Ni Kang; Xun Zhang; You-Lin Qiao; Wen Chen
Journal:  Oncotarget       Date:  2016-10-04

5.  Association between folate status and cervical intraepithelial neoplasia.

Authors:  W Zhao; M Hao; Y Wang; N Feng; Z Wang; W Wang; J Wang; L Ding
Journal:  Eur J Clin Nutr       Date:  2016-03-30       Impact factor: 4.016

6.  Matrix methods in health demography: a new approach to the stochastic analysis of healthy longevity and DALYs.

Authors:  Hal Caswell; Virginia Zarulli
Journal:  Popul Health Metr       Date:  2018-06-07
  6 in total

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