ArticleBritish journal of cancer2017
Nomogram individually predicts the overall survival of patients with gastroenteropancreatic neuroendocrine neoplasms.
Article in British journal of cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
68 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Global research trends in gastroenteropancreatic neuroendocrine tumors: a bibliometric analysis from 2000 to 2023.Frontiers in oncology · 2025Pooled it
- Postoperative locoregional recurrence pattern and treatment management of stage pT4 sigmoid colon cancer: a retrospective cohort study.Radiation oncology (London, England) · 2022Trial
- Development and validation of prognostic nomograms for patients with metastatic prostate cancer.International urology and nephrology · 2019Trial
- Primary Neuroendocrine Carcinoma of the Breast: A Diagnostic Challenge and Case Report.Cancer reports (Hoboken, N.J.) · 2026Article
- Development and validation of a nomogram comprising GLUT1 and clinical characteristics for predicting overall survival in intrahepatic cholangiocarcinoma.Translational cancer research · 2025Article
- Association rule mining of clinical and biomarker data in neuroendocrine tumors: A prospective study on disease progression.Journal of neuroendocrinology · 2025Article
- Construction and validation of a novel prognostic nomogram for patients with poorly differentiated gastric neuroendocrine neoplasms.World journal of clinical oncology · 2025Article
- Risk factors, prognostic factors and nomograms for distant metastasis in colorectal neuroendocrine neoplasms: a SEER-based study.Translational cancer research · 2025Article
- Survival trends and conditional survival in patients with pulmonary metastases from differentiated thyroid carcinoma.Endocrine · 2025Article
- Dynamic nomogram for predicting the overall survival and cancer-specific survival of patients with gastrointestinal neuroendocrine tumor: a SEER-based retrospective cohort study and external validation.Frontiers in oncology · 2025Article
- Development and validation of a nomogram for predicting cancer-specific survival in small-bowel adenocarcinoma patients using the SEER database.World journal of surgical oncology · 2024Article
- Gastroenteropancreatic neuroendocrine neoplasms: current development, challenges, and clinical perspectives.Military Medical Research · 2024Review
- Article
- A novel web-based dynamic prognostic nomogram for gastric signet ring cell carcinoma: a multicenter population-based study.Frontiers in immunology · 2024Article
- Risk factors, prognostic factors, and nomograms for distant metastases in patients with gastroenteropancreatic neuroendocrine tumors: a population-based study.Frontiers in endocrinology · 2024Article
- Nomogram prediction of overall survival in breast cancer patients post-surgery: integrating SEER database and multi-center evidence from China.Frontiers in oncology · 2024Article
- Deep learning radiomics analysis based on computed tomography for survival prediction in gastric neuroendocrine neoplasm: a multicenter study.Quantitative imaging in medicine and surgery · 2023Article
- Epidemiologic trends of and factors associated with overall survival in patients with neuroendocrine tumors over the last two decades in the USA.Endocrine connections · 2023Article
- Lymph node ratio and hematological parameters predict relapse-free survival in patients with high grade rectal neuroendocrine neoplasms after radical resection: a multicenter prognostic study.World journal of surgical oncology · 2023Article
- Potent molecular-targeted therapies for gastro-entero-pancreatic neuroendocrine carcinoma.Cancer metastasis reviews · 2023Review
8 more citing papers are in PubMed but not listed here.
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Authors and funding
16 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundThe current study aimed to establish a novel nomogram to predict the overall survival of individual Chinese patients with gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs). Furthermore, this study sought to externally validate this nomogram using the Surveillance, Epidemiology, and End Results (SEER) database.
methodsThe records of 1183 patients with GEP-NENs treated at five high-capacity institutions in China between 2005 and 2015 were retrospectively analysed. In addition, 10 236 GEP-NEN cases from the SEER database were included as an external validation set.
resultsA multivariate analysis using Cox proportional hazards (PHs) regression was performed, and a nomogram was constructed. Discrimination, calibration, and external validation were performed using the SEER data set. The multivariate Cox model indicated that age, tumour size, differentiation, lymph node metastases, and distant metastases were independent covariates associated with survival. With respect to the training set, the nomogram exhibited better discrimination power than TNM classification (Harrell's concordance index (C-index): 0.837 vs 0.784, P=0.006). Discrimination was also excellent and superior to that of TNM classification for the SEER-based validation set (C-index: 0.808 vs 0.717, P<0.001). The calibrated nomogram predicted a survival rate that closely corresponded to the actual survival rate.
conclusionsWe developed a nomogram that predicted the 3- and 5-year overall survival rates of patients with GEP-NENs. Validation revealed excellent discrimination and calibration for this nomogram, suggesting that it exhibits satisfactory clinical utility that might improve individualised predictions of survival risks and lead to the creation of additional clinical therapies.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.