ArticleJournal of endocrinological investigation2023
Development and validation of a survival prediction model and risk stratification for pancreatic neuroendocrine neoplasms.
Article in Journal of endocrinological investigation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Yttrium-90 Radioembolization Versus Transarterial Embolization for Lung Carcinoid Hepatic Metastasis.JTO clinical and research reports · 2026Article
- The metastatic spectrum in functional and non-functional NENs: mechanistic insights from multi-omics.Frontiers in endocrinology · 2026Review
- Article
- Association of modifiable risk factors and telomere length with five neuroendocrine neoplasms: a bidirectional Mendelian randomization study.Discover oncology · 2025Article
- Prognostic Nomograms for Patients With NF-Pan-NET After Pancreatectomy: A Retrospective Analysis Based on SEER Database.Cancer reports (Hoboken, N.J.) · 2024Article
- Predictive and prognostic nomogram models for liver metastasis in colorectal neuroendocrine neoplasms: a large population study.Frontiers in endocrinology · 2024Article
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5 authors.
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Abstract
purposeWe explored risk variables associated with cancer-specific survival (CSS) in patients with pancreatic neuroendocrine neoplasms (PNENs) and created a network dynamic nomogram model to predict patient survival time.
methodsA total of 7750 patients with PNENs were included in this analysis, including 134 with functional PNENs and 7616 with nonfunctional PNENs. Clinical feature and prognosis differences between functional and nonfunctional PNENs were compared. Independent prognostic factors affecting CSS were analyzed by univariate and multifactorial Cox regression. Nomogram and web-based prognosis prediction of PNENs were developed and validated by C indices, decision curve analysis, and calibration plots.
resultsPatients with functional PNENs were younger at diagnosis than those with nonfunctional PNENs. Functional PNENs had better prognoses than nonfunctional PNENs (5-year survival rates: 78.55% and 71.10%, respectively). Univariate and multifactorial Cox regression analyses showed that tumor infiltration (T), nodal metastasis (N), metastasis (M), tumor site, differentiation grade, age, marital status, and surgical treatment were independent prognostic risk factors for CSS, which were included in the prognostic nomogram and web-based prognosis calculator. The calibration plots and decision curve analysis showed that the nomogram had excellent prediction and clinical practical ability. The C indices for CSS in the training and validation cohorts were 0.848 (95% CI 0.838-0.8578) and 0.823 (95% CI 0.807-0.839), respectively. We scored all patients according to the nomogram and divided patients into three different risk groups. The prognosis of the low-risk population was significantly better than those of the middle- and high-risk populations based on Kaplan-Meier survival curve.
conclusionWe analyzed the clinical features of PNENs and developed a convenient and web dynamic nomogram to predict CSS.
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