A Predictive Nomogram for Small Intestine Neuroendocrine Tumors
| Autor: | Michelle K. Kim, Susheian Kelly, Jeffrey J. Aalberg, Celia M. Divino |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Male
Oncology medicine.medical_specialty genetic structures Endocrinology Diabetes and Metabolism Population Carcinoid Tumor Kaplan-Meier Estimate Neuroendocrine tumors 03 medical and health sciences Predictive nomogram 0302 clinical medicine Endocrinology Cause of Death Internal medicine Intestinal Neoplasms Epidemiology Internal Medicine Humans Medicine Neoplasm Invasiveness education Grading (tumors) Aged Neoplasm Staging Proportional Hazards Models education.field_of_study Hepatology business.industry Proportional hazards model Liver Neoplasms Age Factors Area under the curve Middle Aged Nomogram Prognosis medicine.disease United States Tumor Burden Nomograms ROC Curve 030220 oncology & carcinogenesis Female 030211 gastroenterology & hepatology Neoplasm Grading business SEER Program |
| Zdroj: | Pancreas. 49:524-528 |
| ISSN: | 1536-4828 0885-3177 |
| DOI: | 10.1097/mpa.0000000000001526 |
| Popis: | OBJECTIVE There is a scarcity of prognostic tools for small intestine neuroendocrine tumors (SI-NETs) and inconsistencies in currently available grading and staging systems. Nomograms are being proposed to address these limitations. However, none is specific to the US population. This study proposed a concise nomogram for SI-NETs using US population-based data. METHODS Patients with SI-NETs (2004-2015) were selected from the Surveillance, Epidemiology, and End Results database. Variables selected were age, sex, race, tumor grade, primary tumor size, and TNM staging. Cox regression parameter estimates were used to generate nomogram scores. RESULTS A total of 2734 patients were selected: 2050 for nomogram development and 684 for internal validation. Prognosticators, age (P 3 cm (P < 0.0022), tumor grade (P < 0.0001), depth of invasion ≥T3 (P < 0.0280), and distant metastasis (P < 0.0001) were used to develop the nomogram. Nomogram scores ranges from 10 to 80 points with an area under the curve of 0.76, which remained consistently high during internal validation (area under the curve, 0.75). CONCLUSIONS This Surveillance, Epidemiology, and End Results database nomorgram is a concise prognostic tool that demonstrated high predictive accuracy. |
| Databáze: | OpenAIRE |
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