A risk grouping algorithm for predicting factors of persistently elevated prostate‐specific antigen in patients following robot‐assisted radical prostatectomy
| Autor: | Mevlana Derya Balbay, Ziya Akbulut, Erdem Kisa, Serkan Altinova, A. Ardicoglu, Mehmet Çağlar Çakıcı, Ali Fuat Atmaca, Uygar Micoogullari, Furkan Umut Kilic, Abdullah Erdem Canda |
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| Rok vydání: | 2021 |
| Předmět: |
Male
Biochemical recurrence Lymphovascular invasion medicine.medical_treatment Elevated prostate specific antigen 030204 cardiovascular system & hematology Logistic regression 03 medical and health sciences Prostate cancer 0302 clinical medicine medicine Humans In patient 030212 general & internal medicine Retrospective Studies Prostatectomy business.industry Prostatic Neoplasms Robotics General Medicine Prostate-Specific Antigen medicine.disease Prostate-specific antigen Neoplasm Recurrence Local business Algorithm |
| Zdroj: | International Journal of Clinical Practice. 75 |
| ISSN: | 1742-1241 1368-5031 |
| Popis: | OBJECTIVE After radical prostatectomy, prostate-specific antigen(PSA) value measuring ≥0.1 ng/mL is defined as persistent PSA(pPSA) and in many studies, it was found to be associated with aggressive disease and poor prognosis. Our aim in this study is to point out the pathological and clinical factors affecting pPSA among the patients who underwent robot-assisted radical prostatectomy(RARP) in an experienced academic centre and to make a useful risk grouping algorithm that can predict pPSA value based on operative data. METHODS We examined records of 1273 patients who underwent RARP retrospectively. Preoperative, operative and postoperative data were collected. Based on the PSA values (ng/mL) measured after 4-to-8 weeks of RARP, patients were divided into two groups as pPSA group (Group1)(n = 97) with PSA values ≥0.1 ng/mL and undetectable PSA group (Group2)(n = 778) with PSA values |
| Databáze: | OpenAIRE |
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