Skip to content

Opening book details…

Can I read Predictors of the regional variation of prostatectomy or radiotherapy: evidence from German cancer registries on EtoBox?

Predictors of the regional variation of prostatectomy or radiotherapy: evidence from German cancer registries by Daniel Medenwald; Julia Ferencz; Dirk Vordermark is a Medicine article available to read on EtoBox.

What is Predictors of the regional variation of prostatectomy or radiotherapy: evidence from German cancer registries about?

## Objective To assess the association of public health parameters with the regional variation in the initial treatment for prostate cancer. ## Methods We used data from German epidemiologic cancer registries for the years 2009–2013. Presence of a certified cancer center, a radiotherapy and/or urology institution, the district-specific GDP, and population density were used as predictors. Patients with indication for adjuvant treatment were excluded (T3b). Only districts with defined quality criteria were eligible. We used general linear mixed models (equivalent to logistic regression) with a covariance matrix weighted by the Euclidean distances between districts. Models were adjusted for age, grading, and TNM stage. We performed sensitivity analyses by imputing missing data with multiple imputation and considering extreme case scenarios. We applied inverse probability weighting to account for missing values. ## Results When radiotherapy/surgery is compared to neither treatment, the probability for the latter was higher in East than in West Germany (OR 1.7, 95% CI 1.43–2.02). The same was true for districts with both, a radiotherapy and urologic treatment facility (OR 1.43, 1.19–1.7

Who reads Predictors of the regional variation of prostatectomy or radiotherapy: evidence from German cancer registries?

It is typically read by researchers, students, and practitioners in Medicine.

Author
Daniel Medenwald; Julia Ferencz; Dirk Vordermark
Publisher
Springer-Verlag; Springer Verlag; Springer Science and Business Media LLC (ISSN 1432-1335)
Published
2020
Language
EN
Field
Medicine (Health Sciences)