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

被引:20
作者
van den Boom, Hector G. [1 ]
Abu-Hanna, Ameen [2 ]
ter Veer, Emil [1 ]
van Kleef, Jessy Joy [1 ]
Lordick, Florian [3 ]
Stahl, Michael [4 ]
Ajani, Jaffer A. [5 ]
Guimbaud, Rosine [6 ]
Park, Se Hoon [7 ]
Dutton, Susan J. [8 ,9 ]
Bang, Yung-Jue [10 ]
Boku, Narikazu [11 ]
Mohammad, Nadia Haj [12 ]
Sprangers, Mirjam A. G. [13 ]
Verhoeven, Rob H. A. [14 ,15 ]
Zwinderman, Aeilko H. [16 ]
van Oijen, Martijn G. H. [1 ]
van Laarhoven, Hanneke W. M. [1 ]
机构
[1] Univ Amsterdam, Amsterdam UMC, Canc Ctr Amsterdam, Dept Med Oncol, NL-1105 AZ Amsterdam, Netherlands
[2] Univ Amsterdam, Dept Med Informat, Amsterdam UMC, NL-1105 AZ Amsterdam, Netherlands
[3] Univ Hosp Leipzig, UCCL, Med Dept 1, D-04103 Leipzig, Germany
[4] Kliniken Essen Mitte, Dept Med Oncol & Hematol, D-45136 Essen, Germany
[5] Univ Texas MD Anderson Canc Ctr, Dept Gastrointestinal Med Oncol, Houston, TX 77030 USA
[6] CHU Toulouse, Dept Med Oncol, F-31400 Toulouse, France
[7] Univ Sch Med, Samsung Med Ctr, Seoul 06351, South Korea
[8] Univ Oxford, Oxford Clin Trials Res Unit, Oxford OX1 2JD, England
[9] Univ Oxford, Ctr Stat Med, Oxford OX1 2JD, England
[10] Seoul Natl Univ, Seoul Natl Univ Hosp, Coll Med, Seoul 03080, South Korea
[11] Natl Canc Ctr, Dept Gastrointestinal, Med Oncol Div, Tokyo 1040045, Japan
[12] Univ Utrecht, UMC Utrecht, Dept Med Oncol, NL-3584 CX Utrecht, Netherlands
[13] Univ Amsterdam, Amsterdam UMC, Dept Med Psychol, NL-1105 AZ Amsterdam, Netherlands
[14] Netherlands Comprehens Canc Org IKNL, NL-5612 HZ Eindhoven, Netherlands
[15] Radboud Univ Nijmegen, Med Ctr, Dept Surg, NL-6525 GA Nijmegen, Netherlands
[16] Univ Amsterdam, Amsterdam UMC, Dept Clin Epidemiol Biostat & Bioinformat, NL-1105 AZ Amsterdam, Netherlands
关键词
prediction model; oesophageal cancer; gastric cancer; metastasis; Cox regression; Delphi consensus; CHEMOTHERAPY; PERFORMANCE; DIAGNOSIS; NOMOGRAM; THERAPY;
D O I
10.3390/cancers11020187
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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.
引用
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页数:18
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