ArticleFrontiers in public health2021
Development and Validation of a Nomogram to Predict Distant Metastasis in Elderly Patients With Renal Cell Carcinoma.
Article in Frontiers in public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 17 citations in OpenAlex.
- Do patients with metastatic renal cell carcinoma obtain survival benefits from cytoreductive nephrectomy? A population-based study.Journal of cancer research and clinical oncology · 2023Trial
- MRI-based habitat radiomics for assessing synchronous metastatic risk in renal cell carcinoma: a multicenter study.Abdominal radiology (New York) · 2026Article
- Liver metastasis-specific mortality in patients with primary gallbladder carcinoma: a competing risk model analysis based on the SEER database.Discover oncology · 2026Article
- Prediction of Distant Metastasis of Renal Cell Carcinoma Based on Interpretable Machine Learning: A Multicenter Retrospective Study.Journal of multidisciplinary healthcare · 2025Article
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- Development and External Validation of Machine Learning-Based Models for Predicting Lung Metastasis in Kidney Cancer: A Large Population-Based Study.International journal of clinical practice · 2023Article
- A nomogram for predicting cancer-specific survival for elderly patients with gallbladder cancer.BMC gastroenterology · 2022Article
- A nomogram for predicting cancer-specific survival and overall survival in elderly patients with nonmetastatic renal cell carcinoma.Frontiers in surgery · 2022Article
- Developing and validating nomograms for predicting the survival in patients with clinical local-advanced gastric cancer.Frontiers in oncology · 2022Article
- Prediction of Distant Metastasis in Renal Cell Carcinoma Using Machine Learning Algorithms: A Multicenter Cohort Study.Cancer control : journal of the Moffitt Cancer CenterArticle
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRenal cell carcinoma (RCC) is the most common renal malignant tumor in elderly patients. The prognosis of renal cell carcinoma with distant metastasis is poor. We aim to construct a nomogram to predict the risk of distant metastasis in elderly patients with RCC to help doctors and patients with early intervention and improve the survival rate.
methodsThe clinicopathological information of patients was downloaded from SEER to identify all elderly patients with RCC over 65 years old from 2010 to 2018. Univariate and multivariate logistic regression analyzed the training cohort's independent risk factors for distant metastasis. A nomogram was established to predict the distant metastasis of elderly patients with RCC based on these risk factors. We used the consistency index (C-index), calibration curve, and area under the receiver operating curve (AUC) to evaluate the accuracy and discrimination of the prediction model. Decision curve analysis (DCA) was used to assess the clinical application value of the model.
resultsA total of 36,365 elderly patients with RCC were included in the study. They were randomly divided into the training cohort (
conclusionThis study constructed a new nomogram to predict the risk of distant metastasis in elderly patients with RCC. The nomogram has excellent accuracy and reliability, which can help doctors and patients actively monitor and follow up patients to prevent distant metastasis of tumors.
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