Oncological outcome and survival predictors of widowed patients with bladder cancer in special populations
Abstract This study aimed to identify prognostic indicators and develop a nomogram to predict the overall survival (OS) of widowed bladder cancer (WBCa) patients. WBCa patients between 2004 and 2015 were identified using the Surveillance, Epidemiology, and End Results (SEER) database. The patients w...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-08-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-13033-z |
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| author | Fu-Zhen Sun Yi-Xuan Liu Qing-Le Xu Liu-Xiong Guo Pan-Ying Zhang Liang Liu |
| author_facet | Fu-Zhen Sun Yi-Xuan Liu Qing-Le Xu Liu-Xiong Guo Pan-Ying Zhang Liang Liu |
| author_sort | Fu-Zhen Sun |
| collection | DOAJ |
| description | Abstract This study aimed to identify prognostic indicators and develop a nomogram to predict the overall survival (OS) of widowed bladder cancer (WBCa) patients. WBCa patients between 2004 and 2015 were identified using the Surveillance, Epidemiology, and End Results (SEER) database. The patients were randomly divided into the training and validation sets at a 7:3 ratio. Independent prognostic factors were determined using univariate and multivariate Cox analyses. We constructed a nomogram to predict 3- and 5-year for WBCa patients based on the results of multivariate Cox regression analysis. Consistency index (C-index), receiving operating characteristic (ROC), and calibration curve were used to assess the predictive accuracy of the nomogram. Gender, age at diagnosis, ethnicity, histologic type, histologic grade, tumor‑node metastasis (TNM) stage, and surgery were identified as independent predictors of OS. The C-index value of the nomogram for predicting OS was 0.704 and 0.701 in the training and validation cohorts, respectively. The ROC curves and calibration plots indicated that the model was relatively accurate. Independent prognostic factors for WBCa patients were identified, and a nomogram was constructed to predict the 3- and 5-year OS. The model enables clinicians to determine cancer patients’ survival prognosis and formulate personalized treatment plans. |
| format | Article |
| id | doaj-art-e5b3ec8fa7594d8fb3cd377aa5ee3fa2 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-e5b3ec8fa7594d8fb3cd377aa5ee3fa22025-08-24T11:29:40ZengNature PortfolioScientific Reports2045-23222025-08-0115111110.1038/s41598-025-13033-zOncological outcome and survival predictors of widowed patients with bladder cancer in special populationsFu-Zhen Sun0Yi-Xuan Liu1Qing-Le Xu2Liu-Xiong Guo3Pan-Ying Zhang4Liang Liu5Department of Urology, Hebei General HospitalDepartment of Rheumatology and Immunology, Hebei General HospitalDepartment of Urology, Hebei General HospitalDepartment of Urology, Hebei General HospitalDepartment of Urology, Hebei General HospitalUrology department, Chongqing Emergency Medical Center, Chongqing University Central Hospital, Chongqing UniversityAbstract This study aimed to identify prognostic indicators and develop a nomogram to predict the overall survival (OS) of widowed bladder cancer (WBCa) patients. WBCa patients between 2004 and 2015 were identified using the Surveillance, Epidemiology, and End Results (SEER) database. The patients were randomly divided into the training and validation sets at a 7:3 ratio. Independent prognostic factors were determined using univariate and multivariate Cox analyses. We constructed a nomogram to predict 3- and 5-year for WBCa patients based on the results of multivariate Cox regression analysis. Consistency index (C-index), receiving operating characteristic (ROC), and calibration curve were used to assess the predictive accuracy of the nomogram. Gender, age at diagnosis, ethnicity, histologic type, histologic grade, tumor‑node metastasis (TNM) stage, and surgery were identified as independent predictors of OS. The C-index value of the nomogram for predicting OS was 0.704 and 0.701 in the training and validation cohorts, respectively. The ROC curves and calibration plots indicated that the model was relatively accurate. Independent prognostic factors for WBCa patients were identified, and a nomogram was constructed to predict the 3- and 5-year OS. The model enables clinicians to determine cancer patients’ survival prognosis and formulate personalized treatment plans.https://doi.org/10.1038/s41598-025-13033-zWidowedUrinary bladder neoplasmsNomogramOverall survivalSEER |
| spellingShingle | Fu-Zhen Sun Yi-Xuan Liu Qing-Le Xu Liu-Xiong Guo Pan-Ying Zhang Liang Liu Oncological outcome and survival predictors of widowed patients with bladder cancer in special populations Scientific Reports Widowed Urinary bladder neoplasms Nomogram Overall survival SEER |
| title | Oncological outcome and survival predictors of widowed patients with bladder cancer in special populations |
| title_full | Oncological outcome and survival predictors of widowed patients with bladder cancer in special populations |
| title_fullStr | Oncological outcome and survival predictors of widowed patients with bladder cancer in special populations |
| title_full_unstemmed | Oncological outcome and survival predictors of widowed patients with bladder cancer in special populations |
| title_short | Oncological outcome and survival predictors of widowed patients with bladder cancer in special populations |
| title_sort | oncological outcome and survival predictors of widowed patients with bladder cancer in special populations |
| topic | Widowed Urinary bladder neoplasms Nomogram Overall survival SEER |
| url | https://doi.org/10.1038/s41598-025-13033-z |
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