Impact of colic pain as a significant factor for predicting the stone free rate of one-session shock wave lithotripsy for treating ureter stones: a Bayesian logistic regression model analysis.

Lignende værker

• Impact of Colic Pain as a Significant Factor for Predicting the Stone Free Rate of One-Session Shock Wave Lithotripsy for Treating Ureter Stones: A Bayesian Logistic Regression Model Analysis
  af: Chung, Doo Yong, et al.
  Udgivet: (2015)
• Optimal Skin-to-Stone Distance Is a Positive Predictor for Successful Outcomes in Upper Ureter Calculi following Extracorporeal Shock Wave Lithotripsy: A Bayesian Model Averaging Approach
  af: Cho, Kang Su, et al.
  Udgivet: (2015)
• Stone heterogeneity index as the standard deviation of Hounsfield units: A novel predictor for shock-wave lithotripsy outcomes in ureter calculi
  af: Lee, Joo Yong, et al.
  Udgivet: (2016)
• Ureteral stenting can be a negative predictor for successful outcome following shock wave lithotripsy in patients with ureteral stones
  af: Kang, Dong Hyuk, et al.
  Udgivet: (2016)
• Predictive factors and treatment outcomes of Steinstrasse following shock wave lithotripsy for ureteral calculi: A Bayesian regression model analysis
  af: Kang, Ho Won, et al.
  Udgivet: (2018)