Ontology type: schema:ScholarlyArticle
2015-12
AUTHORSRamy F. Youssef, Laura-Maria Krabbe, Shahrokh F. Shariat, Yair Lotan, Arthur I. Sagalowsky, Jay Raman, Christopher G. Wood, Alon Weizer, Marco Roscigno, Francesco Montorsi, Christian Bolenz, Mesut Remzi, Karim Bensalah, Wassim Kassouf, Vitaly Margulis
ABSTRACTPURPOSE: We created a prognostic tool for the prediction of oncologic outcomes after radical nephroureterectomy (RNU) for high-grade non-metastatic upper tract urothelial carcinoma (UTUC). METHODS: UTUC collaboration was utilized to include 586 patients who underwent RNU for non-metastatic high-grade UTUC. Survival outcomes were compared according to a score defined based on the sum of the independent prognostic variables. RESULTS: The study included 382 males with a median age 70 years (range 28-97). Independent prognostic factors included: T (t stage), A (architecture), LVI (lympho-vascular invasion) and L (lymphadenectomy). TALL score (1-7) was the sum of T (≤T1 = 1, T2 = 2, T3 = 3 and T4 = 4), A (papillary = 0 and sessile = 1), LVI (absent = 0 and present = 1) and L (lymphadenectomy = 0 and no lymphadenectomy = 1). Five-year disease-free survival (DFS) and cancer-specific survival (CSS) were stratified into four risk categories according to the TALL score: low (TALL 0-2; 86 % DFS and 90 % CSS), intermediate (TALL = 3; 71 % DFS and 75 % CSS), high (TALL = 4; 57 % DFS and 58 % CSS) and very high risk (TALL ≥ 5; 34 % DFS and 38 % CSS) using Kaplan-Meier survival analyses. TALL score was externally validated in a single-center cohort of 85 UTUC patients. CONCLUSIONS: We developed a multivariable prognostic tool for the prediction of oncological outcomes after RNU for high-grade UTUC. The score can be used for patient counseling, selection for adjuvant systemic therapies and design of clinical trials. More... »
PAGES1965-1972
http://scigraph.springernature.com/pub.10.1007/s00345-015-1566-8
DOIhttp://dx.doi.org/10.1007/s00345-015-1566-8
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PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/25957592
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"description": "PURPOSE: We created a prognostic tool for the prediction of oncologic outcomes after radical nephroureterectomy (RNU) for high-grade non-metastatic upper tract urothelial carcinoma (UTUC).\nMETHODS: UTUC collaboration was utilized to include 586 patients who underwent RNU for non-metastatic high-grade UTUC. Survival outcomes were compared according to a score defined based on the sum of the independent prognostic variables.\nRESULTS: The study included 382 males with a median age 70 years (range 28-97). Independent prognostic factors included: T (t stage), A (architecture), LVI (lympho-vascular invasion) and L (lymphadenectomy). TALL score (1-7) was the sum of T (\u2264T1 = 1, T2 = 2, T3 = 3 and T4 = 4), A (papillary = 0 and sessile = 1), LVI (absent = 0 and present = 1) and L (lymphadenectomy = 0 and no lymphadenectomy = 1). Five-year disease-free survival (DFS) and cancer-specific survival (CSS) were stratified into four risk categories according to the TALL score: low (TALL 0-2; 86 % DFS and 90 % CSS), intermediate (TALL = 3; 71 % DFS and 75 % CSS), high (TALL = 4; 57 % DFS and 58 % CSS) and very high risk (TALL \u2265 5; 34 % DFS and 38 % CSS) using Kaplan-Meier survival analyses. TALL score was externally validated in a single-center cohort of 85 UTUC patients.\nCONCLUSIONS: We developed a multivariable prognostic tool for the prediction of oncological outcomes after RNU for high-grade UTUC. The score can be used for patient counseling, selection for adjuvant systemic therapies and design of clinical trials.",
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"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1008718058"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s00345-015-1566-8",
"https://app.dimensions.ai/details/publication/pub.1008718058"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T19:08",
"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/v90/0000000001_0000000264/records_8678_00000510.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1007%2Fs00345-015-1566-8"
}
]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/s00345-015-1566-8'
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/s00345-015-1566-8'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00345-015-1566-8'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00345-015-1566-8'
This table displays all metadata directly associated to this object as RDF triples.
354 TRIPLES
21 PREDICATES
74 URIs
36 LITERALS
24 BLANK NODES