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SOURCE: A Registry-Based Prediction Model for Overall Survival in Patients with Metastatic Oesophageal or Gastric Cancer

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dc.contributor.authorvan den Boom, Hector G.-
dc.contributor.authorAbu-Hanna, Ameen-
dc.contributor.authorter Veer, Emil-
dc.contributor.authorvan Kleef, Jessy Joy-
dc.contributor.authorLordick, Florian-
dc.contributor.authorStahl, Michael-
dc.contributor.authorAjani, Jaffer A.-
dc.contributor.authorGuimbaud, Rosine-
dc.contributor.authorPark, Se Hoon-
dc.contributor.authorDutton, Susan J.-
dc.contributor.authorBang, Yung-Jue-
dc.contributor.authorBoku, Narikazu-
dc.contributor.authorMohammad, Nadia Haj-
dc.contributor.authorSprangers, Mirjam A. G.-
dc.contributor.authorVerhoeven, Rob H. A.-
dc.contributor.authorZwinderman, Aeilko H.-
dc.contributor.authorvan Oijen, Martijn G. H.-
dc.contributor.authorvan Laarhoven, Hanneke W. M.-
dc.date.accessioned2021-01-31T11:07:10Z-
dc.date.available2021-01-31T11:07:10Z-
dc.date.created2020-03-25-
dc.date.issued2019-02-
dc.identifier.citationCancers, Vol.11 No.2, p. 187-
dc.identifier.issn2072-6694-
dc.identifier.other93577-
dc.identifier.urihttps://hdl.handle.net/10371/173036-
dc.description.abstractPrediction models are only sparsely available for metastatic oesophagogastric cancer. Because treatment in this setting is often preference-based, decision-making with the aid of a prediction model is wanted. The aim of this study is to construct a prediction model, called SOURCE, for the overall survival in patients with metastatic oesophagogastric cancer. Data from patients with metastatic oesophageal (n = 8010) or gastric (n = 4763) cancer diagnosed during 2005-2015 were retrieved from the nationwide Netherlands cancer registry. A multivariate Cox regression model was created to predict overall survival for various treatments. Predictor selection was performed via the Akaike Information Criterion and a Delphi consensus among experts in palliative oesophagogastric cancer. Validation was performed according to a temporal internal-external scheme. The predictive quality was assessed with the concordance-index (c-index) and calibration. The model c-indices showed consistent discriminative ability during validation: 0.71 for oesophageal cancer and 0.68 for gastric cancer. The calibration showed an average slope of 1.0 and intercept of 0.0 for both tumour locations, indicating a close agreement between predicted and observed survival. With a fair c-index and good calibration, SOURCE provides a solid foundation for further investigation in clinical practice to determine its added value in shared decision making.-
dc.language영어-
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)-
dc.titleSOURCE: A Registry-Based Prediction Model for Overall Survival in Patients with Metastatic Oesophageal or Gastric Cancer-
dc.typeArticle-
dc.contributor.AlternativeAuthor방영주-
dc.identifier.doi10.3390/cancers11020187-
dc.citation.journaltitleCancers-
dc.identifier.wosid000460747200061-
dc.identifier.scopusid2-s2.0-85062421920-
dc.citation.number2-
dc.citation.startpage187-
dc.citation.volume11-
dc.identifier.sci000460747200061-
dc.description.isOpenAccessY-
dc.contributor.affiliatedAuthorBang, Yung-Jue-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.subject.keywordPlusCHEMOTHERAPY-
dc.subject.keywordPlusPERFORMANCE-
dc.subject.keywordPlusDIAGNOSIS-
dc.subject.keywordPlusNOMOGRAM-
dc.subject.keywordPlusTHERAPY-
dc.subject.keywordAuthorprediction model-
dc.subject.keywordAuthoroesophageal cancer-
dc.subject.keywordAuthorgastric cancer-
dc.subject.keywordAuthormetastasis-
dc.subject.keywordAuthorCox regression-
dc.subject.keywordAuthorDelphi consensus-
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  • College of Medicine
  • Department of Medicine
Research Area Clinical Medicine

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