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

Wakai, Kenji; Utsumi, Takanobu; Yoneda, Kei; Oka, Ryo; Endo, Takumi; Yano, Masashi; Fujimura, Masaaki; Sekita, Nobuyuki; Mikami, Kazuo; Sugano, Isamu; Hiruta, Nobuyuki; Suzuki, Hiroyoshi

doi:10.1007/s10147-018-1299-y

Cited by 14 publications

(9 citation statements)

References 25 publications

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“…A previous study demonstrated that large tumor size was an important risk factor for a multitude of tumors including bladder (17), lung (18), and prostate cancers (19). Our study suggested that patients with larger tumors had a diminished survival as compared to those with smaller size tumors.…”

Section: Discussionsupporting

confidence: 53%

Development and Validation of Nomograms Predicting the Overall and the Cancer-Specific Survival in Endometrial Cancer Patients

Yuan

Dong

et al. 2020

Front. Med.

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Background: The present study was aimed at developing nomograms estimating the overall survival (OS) and cancer-specific survival (CSS) of endometrial cancer (EC)-affected patients.Patients and Methods: We retrospectively collected 145,445 EC patients between 2004 and 2015 from the Surveillance, Epidemiology, and End Results (SEER) database. Independent prognostic factors were identified via univariate and multivariate Cox analyses. These risk factors were used to establish nomograms to predict 3- and 5-year OS and CSS rates. Internal and external data were used for validation. The predictive accuracy and discriminative ability were measured by using concordance index (C-index) and risk group stratification.Results: A total of 63,510 patients were collected and randomly assigned into the training cohort (n = 42,340) and the validation cohort (n = 21,170). Age at diagnosis, marital status, tumor size, histologic type, lymph node metastasis, tumor grade, and clinical stage were identified as independent prognostic factors for OS and CSS (p < 0.05 according to multivariate Cox analysis) and were further used to construct the nomograms. The area under the receiver operating characteristics (ROC) curve was greater than that of International Federation of Gynecology and Obstetrics (FIGO) staging system for predicting OS (0.83 vs. 0.73, p < 0.01) and CSS (0.87 vs. 0.79, p < 0.01) in the training cohort. The stratification into different risk groups ensured a significant distinction between survival curves within different FIGO staging categories.Conclusion: We constructed and validated nomograms that accurately predicting OS and CSS in EC patients. The nomograms can be used for estimating OS and CSS of individual patients and establishing their risk stratification.

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Section: Discussionsupporting

confidence: 53%

Development and Validation of Nomograms Predicting the Overall and the Cancer-Specific Survival in Endometrial Cancer Patients

Yuan

Dong

et al. 2020

Front. Med.

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“…Recently, this nomogram was validated by Osawa et al 29 using 834 patients who received radical cystectomy at 21 Japanese institutions, and concluded that Aziz A' nomogram was suitable for both preoperative patient counseling and perioperative care in Europe and Japan. Wakai et al 30 developed and validated a predictive model for predicting high-grade papillary bladder cancer before first-time TURBT based on macrohematuria, tumor size, multiple tumors, appearance, and positive urinary cytology in 424 patients. They also identified number of primary tumors significantly associated with high-grade papillary bladder cancer, which is in accordance with ours.…”

Section: Discussionmentioning

confidence: 99%

Nomogram for predicting overall survival of patients with bladder cancer: A population-based study

Wang

et al. 2020

Int J Biol Markers

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Objective: The aim of this study was to develop and validate a reliable nomogram to estimate overall survival in bladder cancer. Method: Patients diagnosed with bladder cancer identified in the Surveillance, Epidemiology, and End Results database were randomly divided into training and validation cohorts. The powerful prognostic variables were examined using Cox regression analyses. A nomogram was developed on the prognostic factors. Results: The results suggested that age, sex, race, grade, histologic type, primary site, pathological stage, surgical treatment, and number of primary tumors, were the powerful prognostic factors. All these factors were integrated to construct the nomogram. The nomogram for predicting overall survival showed better discrimination power than the tumor-node-metastasis (TNM) stage system 8th edition. Conclusion: The nomogram has the potential to provide an individualized prediction of overall survival in patients with bladder cancer.

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“…A previous study demonstrated that large tumor size is an important risk factor for a multitude of tumors including bladder [17] , lung [18] , and prostate cancers [19] . Our study suggested that patients with large tumors had a diminished survival as compared to those with smaller size tumors.…”

Section: Discussionmentioning

confidence: 99%

Development and Validation of Nomograms Predicting the Overall and the Cancer-Specific Survival in Endometrial Cancer Patients

Dong

Cheng

et al. 2020

Preprint

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Background: The present study was aimed at developing nomograms estimating the overall survival (OS) and cancer-specific survival (CSS) of endometrial cancer (EC)-affected patients.Patients and Methods: We retrospectively collected 145,445 EC patients between 2004 and 2015 from the Surveillance, Epidemiology, and End Results (SEER) database. Independent prognostic factors were identified via univariate and multivariate Cox analyses. These risk factors were used to establish nomograms to predict 3- and 5-year OS and CSS rates. Internal and external data were used for validation. The predictive accuracy and discriminative ability were measured by using concordance index (C-index) and risk group stratification.Results: A total of 63,510 patients were collected and randomly assigned into the training cohort (n=42,340) and validation cohort (n=21,170). Age at diagnosis, marital status, tumor size, histologic type, lymph node metastasis, tumor grade, and clinical stage were identified as independent prognostic factors for OS and CSS (p<0.05 according to multivariate Cox analysis) and were further used to construct the nomograms. The area under the receiver operating characteristics (ROC) curve was greater than that of International Federation of Gynecology and Obstetrics (FIGO) staging system for predicting OS (0.83 vs 0.73, p<0.01) and CSS (0.87 vs 0.79, p<0.01) in the training cohort. The stratification into different risk groups ensured a significant distinction between survival curves within different FIGO staging categories. Conclusion: We constructed and validated nomograms that accurately predict OS and CSS in EC patients. The nomograms can be used for estimating OS and CSS of individual patients and establishing their risk stratification.

show abstract

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

Abstract: 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.

Cited by 14 publications

References 25 publications

Development and Validation of Nomograms Predicting the Overall and the Cancer-Specific Survival in Endometrial Cancer Patients

Development and Validation of Nomograms Predicting the Overall and the Cancer-Specific Survival in Endometrial Cancer Patients

Nomogram for predicting overall survival of patients with bladder cancer: A population-based study

Development and Validation of Nomograms Predicting the Overall and the Cancer-Specific Survival in Endometrial Cancer Patients

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