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SOURCE: A Registry-Based Prediction Model for Overall Survival in Patients with Metastatic Oesophageal or Gastric Cancer
DC Field | Value | Language |
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dc.contributor.author | van den Boom, Hector G. | - |
dc.contributor.author | Abu-Hanna, Ameen | - |
dc.contributor.author | ter Veer, Emil | - |
dc.contributor.author | van Kleef, Jessy Joy | - |
dc.contributor.author | Lordick, Florian | - |
dc.contributor.author | Stahl, Michael | - |
dc.contributor.author | Ajani, Jaffer A. | - |
dc.contributor.author | Guimbaud, Rosine | - |
dc.contributor.author | Park, Se Hoon | - |
dc.contributor.author | Dutton, Susan J. | - |
dc.contributor.author | Bang, Yung-Jue | - |
dc.contributor.author | Boku, Narikazu | - |
dc.contributor.author | Mohammad, Nadia Haj | - |
dc.contributor.author | Sprangers, Mirjam A. G. | - |
dc.contributor.author | Verhoeven, Rob H. A. | - |
dc.contributor.author | Zwinderman, Aeilko H. | - |
dc.contributor.author | van Oijen, Martijn G. H. | - |
dc.contributor.author | van Laarhoven, Hanneke W. M. | - |
dc.date.accessioned | 2021-01-31T11:07:10Z | - |
dc.date.available | 2021-01-31T11:07:10Z | - |
dc.date.created | 2020-03-25 | - |
dc.date.issued | 2019-02 | - |
dc.identifier.citation | Cancers, Vol.11 No.2, p. 187 | - |
dc.identifier.issn | 2072-6694 | - |
dc.identifier.other | 93577 | - |
dc.identifier.uri | https://hdl.handle.net/10371/173036 | - |
dc.description.abstract | Prediction 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.language | 영어 | - |
dc.publisher | Multidisciplinary Digital Publishing Institute (MDPI) | - |
dc.title | SOURCE: A Registry-Based Prediction Model for Overall Survival in Patients with Metastatic Oesophageal or Gastric Cancer | - |
dc.type | Article | - |
dc.contributor.AlternativeAuthor | 방영주 | - |
dc.identifier.doi | 10.3390/cancers11020187 | - |
dc.citation.journaltitle | Cancers | - |
dc.identifier.wosid | 000460747200061 | - |
dc.identifier.scopusid | 2-s2.0-85062421920 | - |
dc.citation.number | 2 | - |
dc.citation.startpage | 187 | - |
dc.citation.volume | 11 | - |
dc.identifier.sci | 000460747200061 | - |
dc.description.isOpenAccess | Y | - |
dc.contributor.affiliatedAuthor | Bang, Yung-Jue | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.subject.keywordPlus | CHEMOTHERAPY | - |
dc.subject.keywordPlus | PERFORMANCE | - |
dc.subject.keywordPlus | DIAGNOSIS | - |
dc.subject.keywordPlus | NOMOGRAM | - |
dc.subject.keywordPlus | THERAPY | - |
dc.subject.keywordAuthor | prediction model | - |
dc.subject.keywordAuthor | oesophageal cancer | - |
dc.subject.keywordAuthor | gastric cancer | - |
dc.subject.keywordAuthor | metastasis | - |
dc.subject.keywordAuthor | Cox regression | - |
dc.subject.keywordAuthor | Delphi consensus | - |
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