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rdf:type
rdfs:seeAlso
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
http://linked.open...avai/riv/aktivity
  • N
http://linked.open...iv/cisloPeriodika
  • october
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 15293
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11110/14:10285322
http://linked.open...riv/jazykVysledku
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
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
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
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
http://bibframe.org/vocab/doi
  • 10.1136/bmj.g5920
http://localhost/t...ganizacniJednotka
  • 11110
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