Trial reportJournal of translational medicine2022
A web-based prediction model for overall survival of elderly patients with early renal cell carcinoma: a population-based study.
Trial report in Journal of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 25 citations in OpenAlex.
- Development and validation of competitive risk model for older women with metaplastic breast cancer.BMC women's health · 2023Trial
- Liver metastasis-specific mortality in patients with primary gallbladder carcinoma: a competing risk model analysis based on the SEER database.Discover oncology · 2026Article
- A Clinically Practical Nomogram for Predicting Survival in Elderly Patients (≥ 65 Years) With Bladder Urothelial Carcinoma: A Study Based on SEER Database and External Validation.Cancer reports (Hoboken, N.J.) · 2025Article
- A Novel Nomogram for the Prediction and Evaluation of Prognosis in Patients with Early-onset Kidney Cancer: a Population-based Study.Journal of Cancer · 2025Article
- Transcriptome-based network analysis related to regulatory T cells infiltration identified RCN1 as a potential biomarker for prognosis in clear cell renal cell carcinoma.BioData mining · 2024Article
- Prognostic factors of renal cell cancer in elderly patients: a population-based cohort study.Scientific reports · 2024Article
- Construction and validation of a novel web-based nomogram for primary ocular adnexal lymphoma: a real-world analysis based on the Surveillance, Epidemiology, and End Results database.Translational cancer research · 2024Article
- Mitophagy and clear cell renal cell carcinoma: insights from single-cell and spatial transcriptomics analysis.Frontiers in immunology · 2024Article
- Mortality prediction and influencing factors for intensive care unit patients with acute tubular necrosis: random survival forest and cox regression analysis.Frontiers in pharmacology · 2024Article
- A web-based prediction model for long-term cancer-specific survival of middle-aged patients with early-stage gastric cancer: a multi-institutional retrospective study.Journal of cancer research and clinical oncology · 2023Article
- The association of marital status with kidney cancer surgery morbidity - a retrospective cohort study.Frontiers in oncology · 2023Article
- A nomogram for predicting cancer-specific survival for elderly patients with gallbladder cancer.BMC gastroenterology · 2022Article
- Tumor Size Is an Independent Prognostic Factor for Stage I Ovarian Clear Cell Carcinoma: A Large Retrospective Cohort Study of 1,000 Patients.Frontiers in oncology · 2022Article
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundThe number of elderly patients with early renal cell carcinoma (RCC) is on the rise. However, there is still a lack of accurate prediction models for the prognosis of early RCC in elderly patients. It is necessary to establish a new nomogram to predict the prognosis of elderly patients with early RCC.
methodsThe data of patients aged above 65 years old with TNM stage I and II RCC were downloaded from the SEER database between 2010 and 2018. The patients from 2010 to 2017 were randomly assigned to the training cohort (n = 7233) and validation cohort (n = 3024). Patient data in 2018(n = 1360) was used for external validation. We used univariable and multivariable Cox regression model to evaluate independent prognostic factors and constructed a nomogram to predict the 1-, 3-, and 5-year overall survival (OS) rates of patients with early-stage RCC. Multiple parameters were used to validate the nomogram, including the consistency index (C-index), the calibration plots, the area under the receiver operator characteristics (ROC) curve, and the decision curve analysis (DCA).
resultsThe study included a total of 11,617 elderly patients with early RCC. univariable and multivariable Cox regression analysis based on predictive variables such as age, sex, histologic type, Fuhrman grade, T stage, surgery type, tumors number, tumor size, and marriage were included to establish a nomogram. The C-index of the training cohort and validation cohort were 0.748 (95% CI: 0.760-0.736) and 0.744 (95% CI: 0.762-0.726), respectively. In the external validation cohort, C-index was 0.893 (95% CI: 0.928-0.858). The calibration plots basically coincides with the diagonal, indicating that the observed OS was almost equal to the predicted OS. It was shown in DCA that the nomogram has more important clinical significance than the traditional TNM stage.
conclusionA novel nomogram was developed to assess the prognosis of an elderly patient with early RCC and to predict prognosis and formulate treatment and follow-up strategies.
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