Survival nomogram for curatively resected Korean gastric cancer patients: Multicenter retrospective analysis with external validation

Bang Wool Eom, Keun Won Ryu, Byung Ho Nam, Yunjin Park, Hyuk Joon Lee, Min Chan Kim, Gyu Seok Cho, Chan Young Kim, Seung Wan Ryu, Dong Woo Shin, Woo Jin Hyung, Jun Ho Lee

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33 Citations (Scopus)


Background: A small number of nomograms have been previously developed to predict the individual survival of patients who undergo curative resection for gastric cancer. However, all were derived from single high-volume centers. The aim of this study was to develop and validate a nomogram for gastric cancer patients using a multicenter database. Methods: We reviewed the clinicopathological and survival data of 2012 patients who underwent curative resection for gastric cancer between 2001 and 2006 at eight centers. Among these centers, six institutions were randomly assigned to the development set, and the other two centers were assigned to the validation set. Multivariate analysis using the Cox proportional hazard regression model was performed, and discrimination and calibration were evaluated by external validation. Results: Multivariate analyses revealed that age, tumor size, lymphovascular invasion, depth of invasion, and metastatic lymph nodes were significant prognostic factors for overall survival. In the external validation, the concordance index was 0.831 (95% confidence interval, 0.784-0.878), and Hosmer-Lemeshow chi-square statistic was 3.92 (P = 0.917). Conclusions: We developed and validated a nomogram to predict 5-year overall survival after curative resection for gastric cancer based on a multicenter database. This nomogram can be broadly applied even in general hospitals and is useful for counseling patients, and scheduling follow-up.

Original languageEnglish
Article numbere0119671
JournalPloS one
Issue number2
Publication statusPublished - 2015 Feb 27

Bibliographical note

Publisher Copyright:
© 2015 Eom et al.

All Science Journal Classification (ASJC) codes

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)
  • General


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