Ontology highlight
ABSTRACT:
SUBMITTER: Heidsma CM
PROVIDER: S-EPMC8124896 | biostudies-literature | 2021 May
REPOSITORIES: biostudies-literature
Heidsma Charlotte M CM Tsilimigras Diamantis I DI Rocha Flavio F Abbott Daniel E DE Fields Ryan R Poultsides George A GA Cho Clifford S CS Lopez-Aguiar Alexandra G AG Kanji Zaheer Z Fisher Alexander V AV Krasnick Bradley A BA Idrees Kamran K Makris Eleftherios E Beems Megan M van Eijck Casper H J CHJ Nieveen van Dijkum Elisabeth J M EJM Maithel Shishir K SK Pawlik Timothy M TM
Cancers 20210507 9
<h4>Background</h4>Identifying patients at risk for early recurrence (ER) following resection for pancreatic neuroendocrine tumors (pNETs) might help to tailor adjuvant therapies and surveillance intensity in the post-operative setting.<h4>Methods</h4>Patients undergoing surgical resection for pNETs between 1998-2018 were identified using a multi-institutional database. Using a minimum <i>p</i>-value approach, optimal cut-off value of recurrence-free survival (RFS) was determined based on the di ...[more]