Ontology type: schema:ScholarlyArticle
2019-04
AUTHORSAlexander V. Fisher, Alexandra G. Lopez-Aguiar, Victoria R. Rendell, Courtney Pokrzywa, Flavio G. Rocha, Zaheer S. Kanji, George A. Poultsides, Eleftherios A. Makris, Mary E. Dillhoff, Eliza W. Beal, Ryan C. Fields, Roheena Z. Panni, Kamran Idrees, Paula Marincola Smith, Clifford S. Cho, Megan V. Beems, Shishir K. Maithel, Emily R. Winslow, Daniel E. Abbott, Sharon M. Weber
ABSTRACTINTRO: Chromogranin A (CgA) may be prognostic for patients with neuroendocrine tumors; however, the clinical utility of this test is unclear. METHODS: Patients undergoing resection for pancreatic neuroendocrine tumors (pNET) were selected from the eight institutions of the US Neuroendocrine Tumor Study Group database. Cox regression was used to identify pre-operative variables that predicted recurrence-free survival (RFS), and those with p < 0.1 were included in a risk score. The risk score was tested in a unique subset of the overall cohort. RESULTS: In the entire cohort of 287 patients, median follow-up time was 37 months, and 5-year RFS was 73%. Cox regression analysis identified four variables for inclusion in the risk score: CgA > 5x ULN (HR 4.3, p = 0.01), tumor grade 2/3 (HR 3.7, p = 0.01), resection for recurrent disease (HR 6.2, p < 0.01), and tumor size > 4 cm (HR 4.5, p = 0.1). Each variable was assigned 1 point. Risk-score testing in the unique validation cohort of 63 patients revealed a 95% negative predictive value for recurrence in patients with zero points. DISCUSSION: This simple pre-operative risk scoring system resulted in a high degree of specificity for identifying patients at low-risk for tumor recurrence. This test can be utilized pre-operatively to aid informed decision-making. More... »
PAGES651-658
http://scigraph.springernature.com/pub.10.1007/s11605-018-04080-1
DOIhttp://dx.doi.org/10.1007/s11605-018-04080-1
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1111504823
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/30659439
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]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"30659439"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"9706084"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s11605-018-04080-1"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1111504823"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s11605-018-04080-1",
"https://app.dimensions.ai/details/publication/pub.1111504823"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T13:21",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000368_0000000368/records_78972_00000001.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1007%2Fs11605-018-04080-1"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11605-018-04080-1'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11605-018-04080-1'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11605-018-04080-1'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11605-018-04080-1'
This table displays all metadata directly associated to this object as RDF triples.
300 TRIPLES
21 PREDICATES
53 URIs
21 LITERALS
9 BLANK NODES