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Nomogram predicting the risk of recurrence after curative-intent resection of primary non-metastatic gastrointestinal neuroendocrine tumors: An analysis of the U.S. Neuroendocrine Tumor Study Group.


ABSTRACT: BACKGROUND:The risk of recurrence after resection of non-metastatic gastro-entero-pancreatic neuroendocrine tumors (GEP-NET) is poorly defined. We developed/validated a nomogram to predict risk of recurrence after curative-intent resection. METHODS:A training set to develop the nomogram and test set for validation were identified. The predictive ability of the nomogram was assessed using c-indices. RESULTS:Among 1477 patients, 673 (46%) were included in the training set and 804 (54%) in y the test set. On multivariable analysis, Ki-67, tumor size, nodal status, and invasion of adjacent organs were independent predictors of DFS. The risk of death increased by 8% for each percentage increase in the Ki-67 index (HR 1.08, 95% CI, 1.05-1.10; P?3 positive nodes had a HR of 1.81 (95% CI, 1.12-2.87; P?=?0.014) and 2.51 (95% CI, 1.50-4.24; P?

SUBMITTER: Merath K 

PROVIDER: S-EPMC5992105 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

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Nomogram predicting the risk of recurrence after curative-intent resection of primary non-metastatic gastrointestinal neuroendocrine tumors: An analysis of the U.S. Neuroendocrine Tumor Study Group.

Merath Katiuscha K   Bagante Fabio F   Beal Eliza W EW   Lopez-Aguiar Alexandra G AG   Poultsides George G   Makris Eleftherios E   Rocha Flavio F   Kanji Zaheer Z   Weber Sharon S   Fisher Alexander A   Fields Ryan R   Krasnick Bradley A BA   Idrees Kamran K   Smith Paula M PM   Cho Cliff C   Beems Megan M   Schmidt Carl R CR   Dillhoff Mary M   Maithel Shishir K SK   Pawlik Timothy M TM  

Journal of surgical oncology 20180215 5


<h4>Background</h4>The risk of recurrence after resection of non-metastatic gastro-entero-pancreatic neuroendocrine tumors (GEP-NET) is poorly defined. We developed/validated a nomogram to predict risk of recurrence after curative-intent resection.<h4>Methods</h4>A training set to develop the nomogram and test set for validation were identified. The predictive ability of the nomogram was assessed using c-indices.<h4>Results</h4>Among 1477 patients, 673 (46%) were included in the training set and  ...[more]

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