Preoperative nomogram to predict the likelihood of complications after radical nephroureterectomy

Raman, Jay D.; Lin, Yu Hung; Shariat, Shahrokh F.; Krabbe, Laura Maria; Margulis, Vitaly; Arnouk, Alex; Lallas, Costas D.; Trabulsi, Edouard J.; Drouin, S.; Rouprêt, Morgan; Bozzini, G.; Colin, P.; Peyronnet, B.; Bensalah, Karim; Bailey, Kirstin; Canes, David; Klatte, Tobias

doi:10.1111/bju.13556

Cited by 29 publications

(31 citation statements)

References 24 publications

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“…The insignificant sex, CIS, BMI, and surgical modality of this study have been indicated as predictive factors for prognosis in other studies . In one study, female sex was associated lower IVRFS after RNU in UTUC (HR 0.812, 95% CI 0.673‐0.981, Table for IVRFS) .…”

Section: Discussionsupporting

confidence: 54%

“…The rarity and the dismal prognosis of UTUC have made it difficult to determine an efficient prediction model with significant predictive prognostic factors. Since the early 2010s, various prediction models with nomograms have been developed to predict the IVRFS, DFS, CSS, and OS after RNU in UTUC patients; however, most have been based on Western patients . Only a few Asian prediction models have been developed to predict prognostic and functional outcomes after RNU in UTUC …”

Section: Discussionmentioning

confidence: 99%

“…The significant variables of the prediction model were validated previously ( Cancer Research and Treatment , accepted in March 2018). Increased age, previous bladder tumor history, higher tumor grade, higher pathologic T and N stages, and concomitant presence of LVI are known poor prognostic factors …”

Section: Discussionmentioning

confidence: 99%

“…Due to the rarity of UTUC and different surgical techniques with heterogenous patient cohorts, it is difficult to acquire sufficient data to explore characteristics of patients with UTUC. A nomogram was developed from Western UTUC cohorts, and the few Asian patient‐based nomograms have incorporated small cohorts of patients . Therefore, the aim of the current study was to determine a prediction model of DFS and OS of UTUC after RNU using a large, multicenter, Korean cohort, and to validate the nomogram model.…”

Section: Introductionmentioning

confidence: 99%

“…A nomogram was developed from Western UTUC cohorts, 2,7-10 and the few Asian patient-based nomograms have incorporated small cohorts of patients. 6,8,11 Therefore, the aim of the current study was to determine a prediction model of DFS and OS of UTUC after RNU using a large, multicenter, Korean cohort, and to validate the nomogram model.…”

Section: Introductionmentioning

confidence: 99%

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Developing a prediction model for disease‐free survival from upper urinary tract urothelial carcinoma in the Korean population

et al. 2019

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Background In this study, we aimed to propose a validated prediction model for disease‐free survival (DFS) after radical nephroureterectomy (RNU) in a Korean population with upper urinary tract urothelial carcinoma (UTUC). Methods We performed a retrospective review of 1561 cases of UTUC who underwent either open RNU (ONU, n = 906) or laparoscopic RNU (LNU, n = 615) from five tertiary Korean institutions between January 2000 and December 2012. Data were used to develop a prediction model using the Cox proportional hazards model. Prognostic factors were selected using the backward variable selection method. The prediction model performance was investigated using Harrell's concordance index (C‐index) and Hosmer‐Lemeshow type 2 statistics. Internal validation was performed using a bootstrap approach, and the National Cancer Center data set (n = 128) was used for external validation. Results A best‐fitting prediction model with seven significant factors was developed. The C‐index and two Hosmer‐Lemeshow type statistics of the prediction model were 0.785 (95% CI, 0.755‐0.815), 4.810 ( P = 0.8506), and 5.285 ( P = 0.8088). The optimism‐corrected estimate through the internal validation was 0.774 (95% CI, 0.744‐0.804) and the optimism‐corrected calibration curve was close to the ideal line with mean absolute error = 0.012. In external validation, the discrimination was 0.657 (95% CI, 0.560‐0.755) and the two calibration statistics were 0.790 ( P = 0.9397) and 3.103 ( P = 0.5408), respectively. Conclusion A validated prediction model based on a large Korean RNU cohort was developed with acceptable performance to estimate DFS in patients with UTUC.

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Section: Discussionsupporting

confidence: 54%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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