A Novel Nomogram to Predict the Prognosis of Patients Undergoing Liver Resection for Neuroendocrine Liver Metastasis: an Analysis of the Italian Neuroendocrine Liver Metastasis Database
| Autor: | Andrea Ruzzenente, Guido Torzilli, Francesca Bertuzzo, Agostino Maria De Rose, Nadia Russolillo, Calogero Iacono, Francesca Ratti, Matteo Cimino, Luca Aldrighetti, Pasquale Perri, Gian Luca Grazi, Giorgio Ercolani, Alfredo Guglielmi, Felice Giuliante, Aldo Scarpa, Fabio Bagante, Ivana Cataldo, Alessandro Ferrero, Alessandro Cucchetti |
|---|---|
| Přispěvatelé: | Ruzzenente, A, Bagante, F, Bertuzzo, F, Aldrighetti, L, Ercolani, G, Giuliante, F, Ferrero, A, Torzilli, G, Grazi, G, Ratti, F, Cucchetti, A, De Rose, Am, Russolillo, N, Cimino, M, Perri, P, Cataldo, I, Scarpa, A, Guglielmi, A, Iacono, C, Ruzzenente, Andrea, Bagante, Fabio, Bertuzzo, Francesca, Aldrighetti, Luca, Ercolani, Giorgio, Giuliante, Felice, Ferrero, Alessandro, Torzilli, Guido, Grazi, Gian Luca, Ratti, Francesca, Cucchetti, Alessandro, de Rose, Agostino M., Russolillo, Nadia, Cimino, Matteo, Perri, Pasquale, Cataldo, Ivana, Scarpa, Aldo, Guglielmi, Alfredo, Iacono, Calogero |
| Rok vydání: | 2016 |
| Předmět: |
Male
Databases Factual Settore MED/18 - CHIRURGIA GENERALE medicine.medical_treatment Neuroendocrine liver metastasi Liver surgery Neuroendocrine liver metastasis Prognostic model Surgery Gastroenterology 030230 surgery computer.software_genre Risk Assessment NO Metastasis Resection 03 medical and health sciences 0302 clinical medicine Interquartile range Overall survival Medicine Hepatectomy Humans LS7_4 Aged Database Tumor size business.industry Medicine (all) Hazard ratio Liver Neoplasms Nomogram Middle Aged medicine.disease Prognosis Neuroendocrine Tumors Nomograms Italy 030220 oncology & carcinogenesis Female business computer |
| Zdroj: | Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract. 21(1) |
| ISSN: | 1873-4626 |
| Popis: | Even though surgery remains the only potentially curative option for patients with neuroendocrine liver metastases, the factors determining a patient's prognosis following hepatectomy are poorly understood. Using a multicentric database including patients who underwent hepatectomy for NELMs at seven tertiary referral hepato-biliary-pancreatic centers between January 1990 and December 2014, we sought to identify the predictors of survival and develop a clinical tool to predict patient's prognosis after liver resection for NELMs. The median age of the 238 patients included in the study was 61.9 years (interquartile range 51.5-70.1) and 55.9 % (n = 133) of patients were men. The number of NELMs (hazard ratio = 1.05), tumor size (HR = 1.01), and Ki-67 index (HR = 1.07) were the predictors of overall survival. These variables were used to develop a nomogram able to predict survival. According to the predicted 5-year OS, patients were divided into three different risk classes: 19.3, 55.5, and 25.2 % of patients were in low (> 80 % predicted 5-year OS), medium (40-80 % predicted 5-year OS), and high (< 40 % predicted 5-year OS) risk classes. The 10-year OS was 97.0, 55.9, and 20.0 % in the low, medium, and high-risk classes, respectively (p < 0.001). We developed a novel nomogram that accurately (c-index > 70 %) staged and predicted the prognosis of patients undergoing liver resection for NELMs. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink