Development and Validation of a Prognostic Nomogram for Predicting Cancer-Specific Survival in Patients With Lymph Node Positive Bladder Cancer: A Study Based on SEER Database Article Swipe
YOU?
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· 2022
· Open Access
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· DOI: https://doi.org/10.3389/fonc.2022.789028
Purpose To construct a prognostic model to predict the cancer-specific survival (CSS) for bladder cancer patients with lymph node-positive. Patients and Methods We enrolled 2,050 patients diagnosed with lymph node-positive bladder cancer from the Surveillance Epidemiology and End Results (SEER) database (2004–2015). All patients were randomly split into development cohort (n = 1,438) and validation cohort (n = 612) at a ratio of 7:3. The univariate and multivariate Cox regression analysis were performed to identify prognostic factors. A nomogram predicting CSS was established based on the results of multivariate Cox analysis. Its performance was evaluated by calibration curves, the receiver operating characteristic (ROC) curves, and the concordance index (C-index). Internal verification was performed in the validation cohort. The Kaplan–Meier method with the log-rank test was applied in the different risk groups. Results The nomogram incorporated summary stage, tumor size, chemotherapy, regional nodes examined and positive lymph nodes. The C-index of the nomogram in the development cohort was 0.716 (0.707–0.725), while the value of the C-index was 0.691 (0.689–0.693) in the validation cohort. The AUC of the nomogram was 0.803 for 3-year and 0.854 for 5-year in the development cohort, while was 0.773 for 3-year and 0.809 for 5-year in the validation cohort. Calibration plots for 3-year and 5-year CSS showed good concordance. Significant differences were observed between high, medium, and low risk groups ( P < 0.001). Conclusions We have established a prognostic nomogram providing an accurate individualized probability of cancer-specific survival in bladder cancer patients with lymph node-positive. The nomogram could contribute to patient counseling, follow-up scheduling, and selection of treatment.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fonc.2022.789028
- https://www.frontiersin.org/articles/10.3389/fonc.2022.789028/pdf
- OA Status
- gold
- Cited By
- 14
- References
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- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4210694159Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3389/fonc.2022.789028Digital Object Identifier
- Title
-
Development and Validation of a Prognostic Nomogram for Predicting Cancer-Specific Survival in Patients With Lymph Node Positive Bladder Cancer: A Study Based on SEER DatabaseWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
-
2022-02-03Full publication date if available
- Authors
-
Xiangpeng Zhan, Ming Jiang, Wen Deng, Xiaoqiang Liu, Luyao Chen, Bin FuList of authors in order
- Landing page
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https://doi.org/10.3389/fonc.2022.789028Publisher landing page
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https://www.frontiersin.org/articles/10.3389/fonc.2022.789028/pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.frontiersin.org/articles/10.3389/fonc.2022.789028/pdfDirect OA link when available
- Concepts
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Nomogram, Bladder cancer, Medicine, Oncology, Lymph node, Cancer, Internal medicine, Database, Computer scienceTop concepts (fields/topics) attached by OpenAlex
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14Total citation count in OpenAlex
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2024: 3, 2023: 6, 2022: 5Per-year citation counts (last 5 years)
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21Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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