ArticleInternational journal of colorectal disease2023
Development of novel prediction models for nodal and distant metastasis in G1 and G2 colorectal neuroendocrine tumors.
Article in International journal of colorectal disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 2 citations in OpenAlex.
- Development and internal validation of a SEER-based prediction model for survival in poorly and undifferentiated colorectal neuroendocrine neoplasms.Translational cancer research · 2026Article
- Development and validation of a predictive model for postoperative complications in thymoma patients.Journal of cardiothoracic surgery · 2026Article
- Risk factors, prognostic factors and nomograms for distant metastasis in colorectal neuroendocrine neoplasms: a SEER-based study.Translational cancer research · 2025Article
- Analysis of the Genetic Characteristics and Metastatic Pathways of G1 and G2 Colorectal Neuroendocrine Neoplasms.Journal of the Endocrine Society · 2024Article
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
Abstract
purposeWe aimed to construct novel nomograms for nodal and distant metastasis for patients with G1 and G2 colorectal neuroendocrine tumors (NETs).
methodsA training set and validation set were obtained by including G1 and G2 colorectal NET patients from the Surveillance, Epidemiology, and End Results database and the Cancer Hospital Chinese Academy of Medical Science, respectively. The area under curve (AUC) values under receiver operating characteristic (ROC) curves, calibration plots, and the Hosmer‒Lemeshow tests were used to evaluate the discriminability and calibration of nomograms.
resultsIn total, 3690 and 172 patients were included in the training set and validation set, respectively. Tumor size, location, and T stage were included in the nomogram predicting nodal metastasis. The AUC values of the nomogram were 0.972 (95% confidence interval (CI): 0.964-0.980) and 0.897 (95% CI: 0.846-0.948) in the training set and validation set, respectively. The calibration plots and Hosmer‒Lemeshow test for the training set (P = 0.999) and validation set (P = 0.537) showed good model calibration. Tumor size, T stage, and N stage were incorporated into the nomogram predicting distant metastasis. The ROC curves demonstrated desirable discrimination both in the training set (AUC = 0.938 (95% CI: 0.921-0.954)) and validation set (AUC = 0.938 (95% CI: 0.890-0.988)). The calibration curves and Hosmer‒Lemeshow test indicated acceptable model calibration both in the training set (P = 0.908) and validation set (P = 0.722).
conclusionThe proposed nomograms may be used as a reliable tool to predict the nodal and distant metastasis in G1 and G2 colorectal NETs.
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