Steroid hormones and hormone-related genetic and lifestyle characteristics as risk factors for benign prostatic hyperplasia: Review of epidemiologic literature

Urology ◽  
2004 ◽  
Vol 64 (2) ◽  
pp. 201-211 ◽  
Author(s):  
Marian L Neuhouser ◽  
Alan R Kristal ◽  
David F Penson
2021 ◽  
Author(s):  
Euxu Xie ◽  
Xuelian Gu ◽  
Chen Ma ◽  
Li Guo ◽  
Man Li ◽  
...  

Abstract Objective To develop and validate a nomogram for predicting bladder calculi risk in patients with benign prostatic hyperplasia (BPH).Methods A total of 368 patients who underwent transurethral resection of the prostate (TURP) and had histologically proven BPH from January 2018 to January 2021 were retrospectively collected. Eligible patients were randomly assigned to the training and validation datasets. Least absolute shrinkage and selection operator (LASSO) regression was used to select the optimal risk factors. A prediction model was established based on the selected characteristics. The performance of the nomogram was assessed by calibration plots and the area under the receiver operating characteristic curve (AUROC). Furthermore, decision curve analysis (DCA) was used to determine the net benefit rate of of the nomogram. Results Among 368 patients who met the inclusion criteria, older age, a history of diabetes and hyperuricemia, longer intravesical prostatic protrusion (IPP)and larger prostatic urethral angulation (PUA) were independent risk factors for bladder calculi in patients with BPH. These factors were used to develop a nomogram, which had a good identification ability in predicting the risk of bladder calculi in patients, with AUROCs of 0.911 (95% CI: 0.876–0.945) in the training set and 0.884 (95% CI: 0.820–0.948) in the validation set. The calibration plot showed that the model had good calibration. Moreover, DCA indicated that the model had a goodclinical benefit. Conclusion We developed and internally validated the first nomogram to date to help physicians assess the risk of bladder calculi in patients with BPH, which may help physicians improve individual interventions and make better clinical decisions.


2012 ◽  
Vol 38 (2) ◽  
pp. 65-69
Author(s):  
Huseyin Cihan Demirel ◽  
Cevdet Serkan Gokkaya ◽  
Cuneyt Ozden ◽  
Binhan Kagan Aktas ◽  
Suleyman Bulut ◽  
...  

2008 ◽  
Vol 12 (2) ◽  
pp. 160-165 ◽  
Author(s):  
J Hammarsten ◽  
J-E Damber ◽  
M Karlsson ◽  
T Knutson ◽  
Ö Ljunggren ◽  
...  

1991 ◽  
Vol 20 (1) ◽  
pp. 68-77 ◽  
Author(s):  
K. Griffiths ◽  
C.L. Eaton ◽  
M.E. Harper ◽  
B. Peeling ◽  
P. Davies

2008 ◽  
Vol 179 (4S) ◽  
pp. 526-526 ◽  
Author(s):  
Esther T Kok ◽  
Boris W Schouten ◽  
Arthur M Bohnen ◽  
Frans PMW Groeneveld ◽  
Siep Thomas ◽  
...  

2014 ◽  
Vol 15 (6) ◽  
pp. 763-767 ◽  
Author(s):  
Diego Abreu ◽  
Enrique Campos ◽  
Verónica Seija ◽  
Carlos Arroyo ◽  
Ruben Suarez ◽  
...  

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