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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
by
Lee, Joo Yong
, Chung, Doo Yong
, Ham, Won Sik
, Jung, Hae Do
, Kown, Jong Kyou
, Kang, Dong Hyuk
, Cho, Kang Su
, Choi, Young Deuk
, Han, Jang Hee
, Lee, Dae Hun
in
Analysis
/ Bayes Theorem
/ Bayesian analysis
/ Calcification
/ Calcification (ectopic)
/ Chi-square test
/ Cohort Studies
/ Colic
/ Colic - complications
/ Edema
/ Female
/ Hospitals
/ Humans
/ Lithotripsy
/ Logistic Models
/ Male
/ Mathematical models
/ Medical records
/ Medicine
/ Middle Aged
/ Model matching
/ Multivariate analysis
/ Pain
/ Pain - complications
/ Patients
/ Physicians
/ Pretreatment
/ Prognosis
/ Propensity Score
/ Regression analysis
/ Regression models
/ Retrospective Studies
/ ROC Curve
/ Science
/ Shock waves
/ Statistical analysis
/ Stone
/ Success
/ Tomography
/ Ureter
/ Ureteral Calculi - complications
/ Ureteral Calculi - diagnosis
/ Ureteral Calculi - therapy
/ Urology
2015
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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
by
Lee, Joo Yong
, Chung, Doo Yong
, Ham, Won Sik
, Jung, Hae Do
, Kown, Jong Kyou
, Kang, Dong Hyuk
, Cho, Kang Su
, Choi, Young Deuk
, Han, Jang Hee
, Lee, Dae Hun
in
Analysis
/ Bayes Theorem
/ Bayesian analysis
/ Calcification
/ Calcification (ectopic)
/ Chi-square test
/ Cohort Studies
/ Colic
/ Colic - complications
/ Edema
/ Female
/ Hospitals
/ Humans
/ Lithotripsy
/ Logistic Models
/ Male
/ Mathematical models
/ Medical records
/ Medicine
/ Middle Aged
/ Model matching
/ Multivariate analysis
/ Pain
/ Pain - complications
/ Patients
/ Physicians
/ Pretreatment
/ Prognosis
/ Propensity Score
/ Regression analysis
/ Regression models
/ Retrospective Studies
/ ROC Curve
/ Science
/ Shock waves
/ Statistical analysis
/ Stone
/ Success
/ Tomography
/ Ureter
/ Ureteral Calculi - complications
/ Ureteral Calculi - diagnosis
/ Ureteral Calculi - therapy
/ Urology
2015
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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
by
Lee, Joo Yong
, Chung, Doo Yong
, Ham, Won Sik
, Jung, Hae Do
, Kown, Jong Kyou
, Kang, Dong Hyuk
, Cho, Kang Su
, Choi, Young Deuk
, Han, Jang Hee
, Lee, Dae Hun
in
Analysis
/ Bayes Theorem
/ Bayesian analysis
/ Calcification
/ Calcification (ectopic)
/ Chi-square test
/ Cohort Studies
/ Colic
/ Colic - complications
/ Edema
/ Female
/ Hospitals
/ Humans
/ Lithotripsy
/ Logistic Models
/ Male
/ Mathematical models
/ Medical records
/ Medicine
/ Middle Aged
/ Model matching
/ Multivariate analysis
/ Pain
/ Pain - complications
/ Patients
/ Physicians
/ Pretreatment
/ Prognosis
/ Propensity Score
/ Regression analysis
/ Regression models
/ Retrospective Studies
/ ROC Curve
/ Science
/ Shock waves
/ Statistical analysis
/ Stone
/ Success
/ Tomography
/ Ureter
/ Ureteral Calculi - complications
/ Ureteral Calculi - diagnosis
/ Ureteral Calculi - therapy
/ Urology
2015
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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
Journal Article
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
2015
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Overview
This study was conducted to evaluate colic pain as a prognostic pretreatment factor that can influence ureter stone clearance and to estimate the probability of stone-free status in shock wave lithotripsy (SWL) patients with a ureter stone.
We retrospectively reviewed the medical records of 1,418 patients who underwent their first SWL between 2005 and 2013. Among these patients, 551 had a ureter stone measuring 4-20 mm and were thus eligible for our analyses. The colic pain as the chief complaint was defined as either subjective flank pain during history taking and physical examination. Propensity-scores for established for colic pain was calculated for each patient using multivariate logistic regression based upon the following covariates: age, maximal stone length (MSL), and mean stone density (MSD). Each factor was evaluated as predictor for stone-free status by Bayesian and non-Bayesian logistic regression model.
After propensity-score matching, 217 patients were extracted in each group from the total patient cohort. There were no statistical differences in variables used in propensity- score matching. One-session success and stone-free rate were also higher in the painful group (73.7% and 71.0%, respectively) than in the painless group (63.6% and 60.4%, respectively). In multivariate non-Bayesian and Bayesian logistic regression models, a painful stone, shorter MSL, and lower MSD were significant factors for one-session stone-free status in patients who underwent SWL.
Colic pain in patients with ureter calculi was one of the significant predicting factors including MSL and MSD for one-session stone-free status of SWL.
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