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Submission Status
Submitted
Abstract
Abstract Title
Development of Nomogram predicting outcome following radical cystectomy for bladder cancer :Data of Siriraj hospital , Thailand
Presentation Type
Podium Abstract
Manuscript Type
Clinical Research
Abstract Category *
Oncology: Bladder and UTUC
Author's Information
Number of Authors (including submitting/presenting author) *
2
No more than 10 authors can be listed (as per the Good Publication Practice (GPP) Guidelines).
Please ensure the authors are listed in the right order.
Country
Thailand
Co-author 1
Kanawut Sooksatian K.sooksatian@gmail.com Siriraj hospital Urology Bangkok Thailand *
Co-author 2
Tawatchai Taweemonkongsap thawatchai.taw@mahidol.ac.th Siriraj hospital Urology Bangkok Thailand -
Co-author 3
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Abstract Content
Introduction
To develop and validate a prognostic nomogram in patients with bladder cancer who underwent radical cystectomy based on Asian population.
Materials and Methods
Data of 304 Bladder cancer patients who undergo radical cystectomy at Siriraj hospital (2012-2023) were include to this study. Data were randomly split into Training group (80% , N = 242) and Testing group (20% , N=62) . Cox regression analysis was use to identify prognostic factors and Kaplan‐Meier analysis to assess survival outcome. A nomogram predicting OSS was constructed. Its performance was validated by AUC, the receiver operating characteristic (ROC) curves, concordance index (C‐index).
Results
The results show median OSS was 51 months . Multivariate analysis of the training group showed that Age , Preoperative GFR, type of diversion , N stage and Lympho-vascular invasion were significantly associated with overall survival. In Testing group, C‐index of the nomogram was 0.734(95%CI ,0.688 – 0.782). AUC of the nomogram were 0.793(95%CI ,0.723 – 0.864). Calibration plots for 1- ,3‐ and 5‐year OSS displayed good concordance.
Conclusions
The nomogram has the potential to provide an individualized prediction of overall survival in patients with bladder cancer. The nomogram is an easy tool to assist clinicians in optimizing the postoperative management.
Keywords
Figure 1
https://storage.unitedwebnetwork.com/files/1237/6d5960913d8a3d88042b8ccf95822c4e.jpg
Figure 1 Caption
Flow diagram of filtering and selecting patient records
Figure 2
https://storage.unitedwebnetwork.com/files/1237/02ef4293819fb44b2b2b32017ddd4845.jpg
Figure 2 Caption
Demographic and Preoperative data
Figure 3
https://storage.unitedwebnetwork.com/files/1237/6889dacec1db5f2a2b79f6fc85a1ec6f.jpg
Figure 3 Caption
Surgical and Oncological data
Figure 4
https://storage.unitedwebnetwork.com/files/1237/485d2b919b74279d15d807036ac26195.jpg
Figure 4 Caption
Predictive factors of 5-year overall survival
Figure 5
https://storage.unitedwebnetwork.com/files/1237/81bbcb0af9547e5005c0cabd0f8d7f5b.jpg
Figure 5 Caption
Nomogram
Character Count
1074
Vimeo Link
Presentation Details
Session
Free Paper Podium(08): Oncology Bladder UTUC (B)
Date
Aug. 15 (Fri.)
Time
16:24 - 16:30
Presentation Order
10