Literature DB >> 29204913

Trends in prostate cancer incidence between 1996 and 2013 in two Swiss regions by age, grade, and T-stage.

Miriam Wanner1,2, Aline Richard3, Katarina Matthes4,3, Laura Ortelli5, Matthias Lorez6, Dimitri Korol4, Andrea Bordoni5, Sabine Rohrmann4,3.   

Abstract

PURPOSE: To investigate differences in prostate cancer incidence between two distinct Swiss regions from 1996 to 2013 stratified by age group, grade, and T-stage.
METHODS: The dataset included 17,495 men living in Zurich and 3,505 men living in Ticino, diagnosed with prostate cancer between 1996 and 2013. We computed age-standardized incidence rates per 100,000 person-years using the European Standard Population. Trends were assessed using JoinPoint regression analysis Software.
RESULTS: Age-standardized incidence rates were generally higher in Zurich compared to Ticino but the difference decreased over time. Incidence rates increased significantly up to 2002 in Zurich and 2007 in Ticino and then decreased. A statistically significant increase was observed for men aged < 65 years, for grade 3 tumors, and for T-stage 2 and 3 tumors. The largest decrease was seen for grade 1 tumors. Furthermore, the incidence of tumors of unknown grade or T-stage decreased significantly in both regions.
CONCLUSIONS: The trends in prostate cancer incidence rates were similar in both regions, although on a higher level in Zurich compared to Ticino. However, the difference decreased over time. The distribution of T-stage and grade did not explain the difference in incidence rates. Different use of opportunistic screening may play a role.

Entities:  

Keywords:  Grading; Prostate cancer; Staging; Switzerland; Time trend

Mesh:

Year:  2017        PMID: 29204913     DOI: 10.1007/s10552-017-0993-9

Source DB:  PubMed          Journal:  Cancer Causes Control        ISSN: 0957-5243            Impact factor:   2.506


  2 in total

1.  Recent incidence and surgery trends for prostate cancer: Towards an attenuation of overdiagnosis and overtreatment?

Authors:  Sabrina Jegerlehner; Arnaud Chiolero; Drahomir Aujesky; Nicolas Rodondi; Simon Germann; Isabelle Konzelmann; Jean-Luc Bulliard
Journal:  PLoS One       Date:  2019-02-04       Impact factor: 3.240

2.  An Intelligent Decision-Making Support System for the Detection and Staging of Prostate Cancer in Developing Countries.

Authors:  Jun Zhang; Zhigang Chen; Jia Wu; Kanghuai Liu
Journal:  Comput Math Methods Med       Date:  2020-08-17       Impact factor: 2.238

  2 in total

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