ArticleWorld journal of surgical oncology2020
A competing-risk nomogram to predict cause-specific death in elderly patients with colorectal cancer after surgery (especially for colon cancer).
Article in World journal of surgical oncology, 2020. 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, 24 citations in OpenAlex.
- Competing Mortality Redefines the Net Benefit of Additional Surgery After Endoscopic Resection for T1 Colorectal Cancer in Older Adults.Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society · 2026Review
- Establishment and Validation of a Prognostic Nomogram for Predicting Postoperative Overall Survival in Advanced Stage III-IV Colorectal Cancer Patients.Cancer medicine · 2024Article
- An internally and externally validated nomogram for predicting cancer-specific survival in octogenarians after radical resection for colorectal cancer.Aging clinical and experimental research · 2024Article
- Clinical characteristics and prognosis analysis of postoperative patients with stage I-III colon cancer based on SEER database.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024Article
- Development and construction of a cataract risk prediction model based on biochemical indices: the National Health and Nutrition Examination Survey, 2005-2008.Frontiers in medicine · 2024Article
- Risk scores to predict mortality 2 and 5 years after surgery for colorectal cancer in elderly patients.World journal of surgical oncology · 2021Observational
- Observational
- Proteomic profiling reveals a signature for optimizing prognostic prediction in Colon Cancer.Journal of Cancer · 2021Article
- A Nomogram for Predicting Multiple Metastases in Metastatic Colorectal Cancer Patients: A Large Population-Based Study.Frontiers in oncology · 2021Article
- Development and validation of prognostic nomograms for early-onset locally advanced colon cancer.Aging · 2020Article
- Prediction of mortality in metastatic colorectal cancer in a real-life population: a multicenter explorative analysis.BMC cancer · 2020Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundClinically, when the diagnosis of colorectal cancer is clear, patients are more concerned about their own prognosis survival. Special population with high risk of accidental death, such as elderly patients, is more likely to die due to causes other than tumors. The main purpose of this study is to construct a prediction model of cause-specific death (CSD) in elderly patients using competing-risk approach, so as to help clinicians to predict the probability of CSD in elderly patients with colorectal cancer.
methodsThe data were extracted from Surveillance, Epidemiology, and End Results (SEER) database to include ≥ 65-year-old patients with colorectal cancer who had undergone surgical treatment from 2010 to 2016. Using competing-risk methodology, the cumulative incidence function (CIF) of CSD was calculated to select the predictors among 13 variables, and the selected variables were subsequently refined and used for the construction of the proportional subdistribution hazard model. The model was presented in the form of nomogram, and the performance of nomogram was bootstrap validated internally and externally using the concordance index (C-index).
resultsDataset of 19,789 patients who met the inclusion criteria were eventually selected for analysis. The five-year cumulative incidence of CSD was 31.405% (95% confidence interval [CI] 31.402-31.408%). The identified clinically relevant variables in nomogram included marital status, pathological grade, AJCC TNM stage, CEA, perineural invasion, and chemotherapy. The nomogram was shown to have good discrimination after internal validation with a C-index of 0.801 (95% CI 0.795-0.807) as well as external validation with a C-index of 0.759 (95% CI 0.716-0.802). Both the internal and external validation calibration curve indicated good concordance between the predicted and actual outcomes.
conclusionUsing the large sample database and competing-risk analysis, a postoperative prediction model for elderly patients with colorectal cancer was established with satisfactory accuracy. The individualized estimates of CSD outcome for the elderly patients were realized.
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