Performance of a nomogram predicting disease-specific survival after an R0 resection for gastric cancer in patients receiving postoperative chemoradiation therapy Journal Article


Authors: Dikken, J. L.; Coit, D. G.; Baser, R. E.; Gönen, M.; Goodman, K. A.; Brennan, M. F.; Jansen, E. P. M.; Boot, H.; Van de Velde, C. J. H.; Cats, A.; Verheij, M.
Article Title: Performance of a nomogram predicting disease-specific survival after an R0 resection for gastric cancer in patients receiving postoperative chemoradiation therapy
Abstract: Purpose The internationally validated Memorial Sloan-Kettering Cancer Center (MSKCC) gastric carcinoma nomogram was based on patients who underwent curative (R0) gastrectomy, without any other therapy. The purpose of the current study was to assess the performance of this gastric cancer nomogram in patients who received chemoradiation therapy after an R0 resection for gastric cancer. Methods and Materials In a combined dataset of 76 patients from the Netherlands Cancer Institute (NKI), and 63 patients from MSKCC, who received postoperative chemoradiation therapy (CRT) after an R0 gastrectomy, the nomogram was validated by means of the concordance index (CI) and a calibration plot. Results The concordance index for the nomogram was 0.64, which was lower than the CI of the nomogram for patients who received no adjuvant therapy (0.80). In the calibration plot, observed survival was approximately 20% higher than the nomogram-predicted survival for patients receiving postoperative CRT. Conclusions The MSKCC gastric carcinoma nomogram significantly underpredicted survival for patients in the current study, suggesting an impact of postoperative CRT on survival in patients who underwent an R0 resection for gastric cancer, which has been demonstrated by randomized controlled trials. This analysis stresses the need for updating nomograms with the incorporation of multimodal strategies. © 2014 Elsevier Inc.
Journal Title: International Journal of Radiation Oncology, Biology, Physics
Volume: 88
Issue: 3
ISSN: 0360-3016
Publisher: Elsevier Inc.  
Date Published: 2014-03-01
Start Page: 624
End Page: 629
Language: English
DOI: 10.1016/j.ijrobp.2013.11.213
PROVIDER: scopus
PUBMED: 24411620
DOI/URL:
Notes: Export Date: 3 March 2014 -- CODEN: IOBPD -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Raymond E Baser
    133 Baser
  2. Murray F Brennan
    1059 Brennan
  3. Karyn A Goodman
    257 Goodman
  4. Mithat Gonen
    1028 Gonen
  5. Johannes Leen Dikken
    11 Dikken
  6. Daniel Coit
    542 Coit