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Inverse Stage Migration in Radical Prostatectomy—A Sustaining Phenomenon

Benedikt Hoeh, Felix Preißer, Philipp Mandel, Mike Wenzel, Clara Humke, Maria-Noemi Welte, Matthias Müller, Jens Köllermann, Peter J. Wild, Luis A. Kluth, Frederik C. Roos, Felix K.‐H. Chun, Andreas Becker

2021Frontiers in Surgery18 citationsDOIOpen Access PDF

Abstract

Objective: To investigate temporal trends in prostate cancer (PCa) radical prostatectomy (RP) candidates. Materials and Methods: Patients who underwent RP for PCa between January 2014 and December 2019 were identified form our institutional database. Trend analysis and logistic regression models assessed RP trends after stratification of PCa patients according to D'Amico classification and Gleason score. Patients with neoadjuvant androgen deprivation or radiotherapy prior to RP were excluded from the analysis. Results: Overall, 528 PCa patients that underwent RP were identified. Temporal trend analysis revealed a significant decrease in low-risk PCa patients from 17 to 9% (EAPC: −14.6%, p < 0.05) and GS6 PCa patients from 30 to 14% (EAPC: −17.6%, p < 0.01). This remained significant even after multivariable adjustment [low-risk PCa: (OR): 0.85, p < 0.05 and GS6 PCa: (OR): 0.79, p < 0.001]. Furthermore, a trend toward a higher proportion of intermediate-risk PCa undergoing RP was recorded. Conclusion: Our results confirm that inverse stage migration represents an ongoing phenomenon in a contemporary RP cohort in a European tertiary care PCa center. Our results demonstrate a significant decrease in the proportion of low-risk and GS6 PCa undergoing RP and a trend toward a higher proportion of intermediate-risk PCa patients undergoing RP. This indicates a more precise patient selection when it comes to selecting suitable candidates for definite surgical treatment with RP.

Topics & Concepts

MedicineProstatectomyProstate cancerLogistic regressionUrologyStage (stratigraphy)CohortPropensity score matchingInternal medicineSurgeryCancerBiologyPaleontologyProstate Cancer Diagnosis and TreatmentProstate Cancer Treatment and ResearchStatistical Methods in Clinical Trials
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