Incidence, Prognostic Factors, and Survival of Patients with Renal Cancer: A Population-Based Study
Background The main objective of this article is to understand trends in the incidence of renal cancer and to construct a nomogram to predict the prognosis of patients with renal cancer by analyzing clinical parameters. Methods We extracted data from the Surveillance, Epidemiology and End Results (S...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2023-12-01
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| Series: | Journal of Investigative Surgery |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/08941939.2023.2197506 |
| _version_ | 1797684422790610944 |
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| author | Bai-Shu Zheng Shun-De Wang Jun-Yong Zhang Cheng-Guo Ge |
| author_facet | Bai-Shu Zheng Shun-De Wang Jun-Yong Zhang Cheng-Guo Ge |
| author_sort | Bai-Shu Zheng |
| collection | DOAJ |
| description | Background The main objective of this article is to understand trends in the incidence of renal cancer and to construct a nomogram to predict the prognosis of patients with renal cancer by analyzing clinical parameters. Methods We extracted data from the Surveillance, Epidemiology and End Results (SEER) database for patients with renal cancer from 2010 to 2015. The incidence rate was calculated to understand the trend of renal cancer in recent years, and the Kaplan–Meier method was used to analyze the relationship between patients’ clinical variables and overall survival. Nomogram and calibration curves were constructed based on factors predicted by multivariate Cox regression. Results Data from 68,496 eligible renal cancer patients were included in the study. The incidence of renal cancer was higher in men than women and tended to stabilize over time. We further found that age, gender, marital status, AJCC stage, histological type, metastatic disease, and surgery were independent parameters for prognosis in renal cancer patients. Finally, a nomogram was constructed based on the above parameters, and its validity was verified with the agreement index and calibration curve. Conclusion Renal cancer incidence trend gradually stabilized. Seven independent parameters for renal cancer patients were obtained by analysis and utilized to construct a nomogram that could provide guidance for clinical practice. |
| first_indexed | 2024-03-12T00:30:25Z |
| format | Article |
| id | doaj.art-aacd123d52b74750bf4c1343b928f374 |
| institution | Directory Open Access Journal |
| issn | 0894-1939 1521-0553 |
| language | English |
| last_indexed | 2024-03-12T00:30:25Z |
| publishDate | 2023-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Journal of Investigative Surgery |
| spelling | doaj.art-aacd123d52b74750bf4c1343b928f3742023-09-15T10:21:31ZengTaylor & Francis GroupJournal of Investigative Surgery0894-19391521-05532023-12-0136110.1080/08941939.2023.21975062197506Incidence, Prognostic Factors, and Survival of Patients with Renal Cancer: A Population-Based StudyBai-Shu Zheng0Shun-De Wang1Jun-Yong Zhang2Cheng-Guo Ge3Department of Urology, The Second Affiliated Hospital of Chongqing Medical UniversityDepartment of Urology, The Chen Jiaqiao Hospital of Sha Pingba District of Chongqing CityDepartment of Urology, The Second Affiliated Hospital of Chongqing Medical UniversityDepartment of Urology, The Second Affiliated Hospital of Chongqing Medical UniversityBackground The main objective of this article is to understand trends in the incidence of renal cancer and to construct a nomogram to predict the prognosis of patients with renal cancer by analyzing clinical parameters. Methods We extracted data from the Surveillance, Epidemiology and End Results (SEER) database for patients with renal cancer from 2010 to 2015. The incidence rate was calculated to understand the trend of renal cancer in recent years, and the Kaplan–Meier method was used to analyze the relationship between patients’ clinical variables and overall survival. Nomogram and calibration curves were constructed based on factors predicted by multivariate Cox regression. Results Data from 68,496 eligible renal cancer patients were included in the study. The incidence of renal cancer was higher in men than women and tended to stabilize over time. We further found that age, gender, marital status, AJCC stage, histological type, metastatic disease, and surgery were independent parameters for prognosis in renal cancer patients. Finally, a nomogram was constructed based on the above parameters, and its validity was verified with the agreement index and calibration curve. Conclusion Renal cancer incidence trend gradually stabilized. Seven independent parameters for renal cancer patients were obtained by analysis and utilized to construct a nomogram that could provide guidance for clinical practice.http://dx.doi.org/10.1080/08941939.2023.2197506renal cancernomogramoverall survivalprognosisseer |
| spellingShingle | Bai-Shu Zheng Shun-De Wang Jun-Yong Zhang Cheng-Guo Ge Incidence, Prognostic Factors, and Survival of Patients with Renal Cancer: A Population-Based Study Journal of Investigative Surgery renal cancer nomogram overall survival prognosis seer |
| title | Incidence, Prognostic Factors, and Survival of Patients with Renal Cancer: A Population-Based Study |
| title_full | Incidence, Prognostic Factors, and Survival of Patients with Renal Cancer: A Population-Based Study |
| title_fullStr | Incidence, Prognostic Factors, and Survival of Patients with Renal Cancer: A Population-Based Study |
| title_full_unstemmed | Incidence, Prognostic Factors, and Survival of Patients with Renal Cancer: A Population-Based Study |
| title_short | Incidence, Prognostic Factors, and Survival of Patients with Renal Cancer: A Population-Based Study |
| title_sort | incidence prognostic factors and survival of patients with renal cancer a population based study |
| topic | renal cancer nomogram overall survival prognosis seer |
| url | http://dx.doi.org/10.1080/08941939.2023.2197506 |
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