ArticleScientific reports2019
Validation of the GRade, Age, Nodes and Tumor (GRANT) score within the Surveillance Epidemiology and End Results (SEER) database: A new tool to predict survival in surgically treated renal cell carcinoma patients.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 27 citations in OpenAlex.
- A prospective external validation of the GRade, Age, Nodes and Tumor score in the ECOG-ACRIN EA8143 PROSPER trial.The oncologist · 2026Trial
- Prognostic Value of B7-H3 and a Novel Scoring System in Localized Renal Cell Carcinoma.Medicina (Kaunas, Lithuania) · 2025Article
- Survival improvement over time in renal cell carcinoma treated with nephrectomy: A longitudinal propensity score-matched study.International journal of urology : official journal of the Japanese Urological Association · 2025Article
- Prognostic value of the GRANT score and development of a nomogram in papillary renal cell carcinoma: a SEER-based study with external validation in a Chinese cohort.Frontiers in oncology · 2025Article
- Article
- GRade, Age, Nodes, and Tumor (GRANT) compared with Leibovich score to predict survival in localized renal cell carcinoma: A nationwide study.International journal of urology : official journal of the Japanese Urological Association · 2022Article
- Development and Validation of Nomogram-Based Prognosis Tools for Patients with Extremity Osteosarcoma: A SEER Population Study.Journal of oncology · 2022Article
- Article
- A gene-based risk score model for predicting recurrence-free survival in patients with hepatocellular carcinoma.BMC cancer · 2021Article
- Development and Validation of a Predictive Model to Evaluate the Risk of Bone Metastasis in Kidney Cancer.Frontiers in oncology · 2021Article
- A Nomogram Predicting the Prognosis of Renal Cell Carcinoma Patients with Lung Metastases.BioMed research international · 2021Article
- Development and Validation of a Nomogram Predicting the Prognosis of Renal Cell Carcinoma After Nephrectomy.Cancer management and research · 2020Article
- External Validation of the GRade, Age, Nodes and Tumor (GRANT) Score for Patients with Surgically Treated Papillary Renal Cell Carcinoma.Technology in cancer research & treatmentArticle
Corrections and comments
- Erratum issued
Authors and funding
11 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of the present study was to validate the new GRade, Age, Nodes and Tumor (GRANT) score for renal cell carcinoma (RCC) prognostication within a large population of patients. Within the Surveillance, Epidemiology, and End Results database, we identified patients with either clear-cell or papillary RCC, who underwent nephrectomy between 2001 and 2015. Harrell's C-Index, calibration plot and decision curve analysis were used to validate the GRANT model using a five-risk group stratification (0 vs. 1 vs. 2 vs. 3 vs. 4 risk factors). The primary endpoint was overall survival (OS) at 60 months. The analyses were repeated according to the histologic subgroup. The overall population included 73217 cases; 60900 with clear-cell RCC and 12317 with papillary histology, respectively. According to a five-risk group stratification, 23985 patients (32.8%) had no risk factor (0), 35019 (47.8%) had only one risk factor (1), 13275 (18.1%) had risk score 2854 (1.2%) had 3 risk factors and 84 (0.1%) of cases had a GRANT score of 4, respectively. At 60 months, OS rates as determined by the GRANT score were respectively 94% (score 0) vs. 86% (score 1) vs. 76% (score 2) vs. 46% (score 3) vs. 16% (score 4). In both histologic subtypes, the GRANT score yielded good calibration and high net benefit. OS C-Index values were 0.677 and 0.650 for clear-cell and papillary RCC at 60 months after surgery, respectively. In conclusion, the GRANT score was validated with a five-risk group stratification in a huge population from the SEER database, offering a further demonstration of its reliability for prognostication in RCC.
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