About: Evaluating the risk of ovarian cancer before surgery using the ADNEX model to differentiate between benign, borderline, early and advanced stage invasive, and secondary metastatic tumours: prospective multicentre diagnostic study

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About: Evaluating the risk of ovarian cancer before surgery using the ADNEX model to differentiate between benign, borderline, early and advanced stage invasive, and secondary metastatic tumours: prospective multicentre diagnostic study Goto Sponge Distinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://www.bmj.com/content/bmj/349/bmj.g5920.full.pdf
Description	Objectives To develop a risk prediction model to preoperatively discriminate between benign, borderline, stage I invasive, stage II-IV invasive, and secondary metastatic ovarian tumours. Design Observational diagnostic study using prospectively collected clinical and ultrasound data. Setting 24 ultrasound centres in 10 countries. Participants Women with an ovarian (including para-ovarian and tubal) mass and who underwent a standardised ultrasound examination before surgery. The model was developed on 3506 patients recruited between 1999 and 2007, temporally validated on 2403 patients recruited between 2009 and 2012, and then updated on all 5909 patients. Objectives To develop a risk prediction model to preoperatively discriminate between benign, borderline, stage I invasive, stage II-IV invasive, and secondary metastatic ovarian tumours. Design Observational diagnostic study using prospectively collected clinical and ultrasound data. Setting 24 ultrasound centres in 10 countries. Participants Women with an ovarian (including para-ovarian and tubal) mass and who underwent a standardised ultrasound examination before surgery. The model was developed on 3506 patients recruited between 1999 and 2007, temporally validated on 2403 patients recruited between 2009 and 2012, and then updated on all 5909 patients. (en)
Title	Evaluating the risk of ovarian cancer before surgery using the ADNEX model to differentiate between benign, borderline, early and advanced stage invasive, and secondary metastatic tumours: prospective multicentre diagnostic study Evaluating the risk of ovarian cancer before surgery using the ADNEX model to differentiate between benign, borderline, early and advanced stage invasive, and secondary metastatic tumours: prospective multicentre diagnostic study (en)
skos:prefLabel	Evaluating the risk of ovarian cancer before surgery using the ADNEX model to differentiate between benign, borderline, early and advanced stage invasive, and secondary metastatic tumours: prospective multicentre diagnostic study Evaluating the risk of ovarian cancer before surgery using the ADNEX model to differentiate between benign, borderline, early and advanced stage invasive, and secondary metastatic tumours: prospective multicentre diagnostic study (en)
skos:notation	RIV/00216208:11110/14:10285322!RIV15-MSM-11110___
http://linked.open...avai/riv/aktivita	N
http://linked.open...avai/riv/aktivity	N
http://linked.open...iv/cisloPeriodika	october
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Fischerová, Daniela
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Karlova v Praze / 1. lékařská fakulta
http://linked.open...dnocenehoVysledku	15293
http://linked.open...ai/riv/idVysledku	RIV/00216208:11110/14:10285322
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	distinguish; care; survival; ultrasound; external validation; prospective validation; iota group; prediction models; mathematical-models; logistic-regression models (en)
http://linked.open.../riv/klicoveSlovo	ultrasound prediction models survival distinguish external validation iota group mathematical-models care prospective validation logistic-regression models
http://linked.open...odStatuVydavatele	GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV	[9CA1B98E2C5F]
http://linked.open...i/riv/nazevZdroje	British Medical Journal
http://linked.open...in/vavai/riv/obor	FK
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	18 (xsd:int)
http://linked.open...UplatneniVysledku	2014
http://linked.open...v/svazekPeriodika	349
http://linked.open...iv/tvurceVysledku	Fischerová, Daniela Lanzani, Chiara Bourne, Tom Timmerman, Dirk Van Calster, Ben Epstein, Elisabeth Czekierdowski, Artur Franchi, Dorella Fruscio, Robert Guerriero, Stefano Kaijser, Jeroen Savelli, Luca Scala, Felice Testa, Antonia C. Valentin, Lil Van Belle, Vanya Van Holsbeke, Caroline Van Hoorde, Kirsten
http://linked.open...ain/vavai/riv/wos	000343767400002
issn	1756-1833
number of pages	14 (xsd:int)
http://bibframe.org/vocab/doi	10.1136/bmj.g5920
http://localhost/t...ganizacniJednotka	11110

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