Literature DB >> 29804156

Development and external validation of a nomogram to predict high-grade papillary bladder cancer before first-time transurethral resection of the bladder tumor.

Ken Wakai1, Takanobu Utsumi2,3, Kei Yoneda1, Ryo Oka1, Takumi Endo1, Masashi Yano1, Masaaki Fujimura4, Naoto Kamiya1, Nobuyuki Sekita4, Kazuo Mikami4, Isamu Sugano5, Nobuyuki Hiruta6, Hiroyoshi Suzuki1.   

Abstract

BACKGROUND: The aim of this study was to identify the clinical predictors related to the risk of high-grade papillary bladder cancer before first-time transurethral resection of a bladder tumor (TUR-Bt), and to develop and validate a nomogram predicting the risk of high-grade papillary bladder cancer.
METHODS: A retrospective clinical study of consecutive patients who underwent first-time TUR-Bt for papillary bladder cancer was performed. Medical records were reviewed uniformly, and the following data were collected: age, sex, episodes of urinary symptoms, tumor size, number of tumors, location of the largest tumor (lateral walls, base, posterior wall, dome, and anterior wall), tumor appearance (papillary or non-papillary, pedunculated or sessile), and urinary cytology. Data from 254 patients (Group A) were used for the development of a nomogram, while data from 170 patients (Group B) were used for its external validation.
RESULTS: High-grade papillary bladder cancer was pathologically diagnosed in 51.6 and 74.6% of Group A and Group B patients, respectively. Based on univariable analyses in Group A, macrohematuria, tumor size, multiple tumors, appearance, and positive urinary cytology were selected as variables to incorporate into a nomogram. The AUC value was 0.81 for the internal validation (Group A), and 0.78 for the external validation (Group B). This novel nomogram can predict high-grade papillary bladder cancer accurately.
CONCLUSIONS: The present nomogram can help clinicians calculate the probability in patients with bladder cancer before TUR-Bt and decide on earlier intervention and priorities for the treatment of patients diagnosed with bladder cancer.

Entities:  

Keywords:  Bladder cancer; High grade; Nomogram; Transurethral resection of the bladder tumor; Validation

Mesh:

Year:  2018        PMID: 29804156     DOI: 10.1007/s10147-018-1299-y

Source DB:  PubMed          Journal:  Int J Clin Oncol        ISSN: 1341-9625            Impact factor:   3.402


  26 in total

1.  Exploration of risk factors predicting outcomes for primary T1 high-grade bladder cancer and validation of the Spanish Urological Club for Oncological Treatment scoring model: Long-term follow-up experience at a single institute.

Authors:  Makito Miyake; Daisuke Gotoh; Keiji Shimada; Yoshihiro Tatsumi; Yasushi Nakai; Satoshi Anai; Kazumasa Torimoto; Katsuya Aoki; Nobumichi Tanaka; Noboru Konishi; Kiyohide Fujimoto
Journal:  Int J Urol       Date:  2015-04-08       Impact factor: 3.369

2.  Development of novel nomograms to predict renal functional outcomes after laparoscopic adrenalectomy in patients with primary aldosteronism.

Authors:  Takanobu Utsumi; Naoto Kamiya; Mayuko Kaga; Takumi Endo; Masashi Yano; Shuichi Kamijima; Koji Kawamura; Takashi Imamoto; Tomohiko Ichikawa; Hiroyoshi Suzuki
Journal:  World J Urol       Date:  2017-04-11       Impact factor: 4.226

Review 3.  Asia Consensus Statement on NCCN Clinical Practice Guideline for bladder cancer.

Authors:  Hiroyuki Nishiyama
Journal:  Jpn J Clin Oncol       Date:  2018-01-01       Impact factor: 3.019

4.  Clinical outcomes of second transurethral resection in non-muscle invasive high-grade bladder cancer: a retrospective, multi-institutional, collaborative study.

Authors:  Naoto Kamiya; Hiroyoshi Suzuki; Takahito Suyama; Masayuki Kobayashi; Satoshi Fukasawa; Nobuyuki Sekita; Kazuo Mikami; Naoki Nihei; Yukio Naya; Tomohiko Ichikawa
Journal:  Int J Clin Oncol       Date:  2016-10-15       Impact factor: 3.402

Review 5.  Bladder cancer.

Authors:  Todd M Morgan; Kirk A Keegan; Peter E Clark
Journal:  Curr Opin Oncol       Date:  2011-05       Impact factor: 3.645

6.  Predicting recurrence and progression in individual patients with stage Ta T1 bladder cancer using EORTC risk tables: a combined analysis of 2596 patients from seven EORTC trials.

Authors:  Richard J Sylvester; Adrian P M van der Meijden; Willem Oosterlinck; J Alfred Witjes; Christian Bouffioux; Louis Denis; Donald W W Newling; Karlheinz Kurth
Journal:  Eur Urol       Date:  2006-01-17       Impact factor: 20.096

Review 7.  Comprehensive geriatric assessment for older patients with cancer.

Authors:  Martine Extermann; Arti Hurria
Journal:  J Clin Oncol       Date:  2007-05-10       Impact factor: 44.544

8.  Obesity is associated with worse outcomes in patients with T1 high grade urothelial carcinoma of the bladder.

Authors:  Luis A Kluth; Evanguelos Xylinas; Joseph J Crivelli; Niccolo Passoni; Evi Comploj; Armin Pycha; James Chrystal; Maxine Sun; Pierre I Karakiewicz; Paolo Gontero; Yair Lotan; Felix K-H Chun; Margit Fisch; Douglas S Scherr; Shahrokh F Shariat
Journal:  J Urol       Date:  2013-01-31       Impact factor: 7.450

Review 9.  Recurrence and progression of disease in non-muscle-invasive bladder cancer: from epidemiology to treatment strategy.

Authors:  Bas W G van Rhijn; Maximilian Burger; Yair Lotan; Eduardo Solsona; Christian G Stief; Richard J Sylvester; J Alfred Witjes; Alexandre R Zlotta
Journal:  Eur Urol       Date:  2009-06-26       Impact factor: 20.096

10.  Prognostic factors of 'high-grade' Ta bladder cancers according to the WHO 2004 classification: are these equivalent to 'high-risk' non-muscle-invasive bladder cancer?

Authors:  Paolo Gontero; Arianna Gillo; Chiara Fiorito; Marco Oderda; Donatella Pacchioni; Giovanni Casetta; Francesca Peraldo; Andrea Zitella; Alessandro Tizzani; Fulvio Ricceri
Journal:  Urol Int       Date:  2013-09-25       Impact factor: 2.089

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  4 in total

1.  Preoperative Clinical Predictors of Lymphovascular Invasion of Bladder Tumors at Transurethral Resection Pathology.

Authors:  Kei Yoneda; Takanobu Utsumi; Ken Wakai; Ryo Oka; Takumi Endo; Masashi Yano; Naoto Kamiya; Nobuyuki Hiruta; Hiroyoshi Suzuki
Journal:  Curr Urol       Date:  2020-10-13

2.  Bladder cancer survival nomogram: Development and validation of a prediction tool, using the SEER and TCGA databases.

Authors:  Ye Zhang; Ying-Kai Hong; Dong-Wu Zhuang; Xue-Jun He; Ming-En Lin
Journal:  Medicine (Baltimore)       Date:  2019-11       Impact factor: 1.817

3.  Development and Validation of the Nomograms for Predicting Overall Survival and Cancer-Specific Survival in Patients With Synovial Sarcoma.

Authors:  Zhengqing Song; Lisha Cheng; Lili Lu; Weiqi Lu; Yuhong Zhou; Zhiming Wang
Journal:  Front Endocrinol (Lausanne)       Date:  2022-03-04       Impact factor: 5.555

4.  Development of a preoperative index-based nomogram for the prediction of hypokalemia in patients with pituitary adenoma: a retrospective cohort study.

Authors:  Wenpeng Li; Lexiang Zeng; Deping Han; Shanyi Zhang; Bingxi Lei; Meiguang Zheng; Yuefei Deng; Lili You
Journal:  PeerJ       Date:  2021-07-19       Impact factor: 2.984

  4 in total

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