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, WooJin Hyung, Jun Ho Lee

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

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
Volume10
Issue number2
DOIs
Publication statusPublished - 2015 Feb 27

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Nomograms
stomach neoplasms
Stomach Neoplasms
resection
Survival
Multivariate Analysis
Databases
counseling
Proportional Hazards Models
General Hospitals
Calibration
multivariate analysis
lymph nodes
Counseling
Tumors
confidence interval
Hazards
calibration
statistics
Lymph Nodes

All Science Journal Classification (ASJC) codes

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

Cite this

Eom, Bang Wool ; Ryu, Keun Won ; Nam, Byung Ho ; Park, Yunjin ; Lee, Hyuk Joon ; Kim, Min Chan ; Cho, Gyu Seok ; Kim, Chan Young ; Ryu, Seung Wan ; Shin, Dong Woo ; Hyung, WooJin ; Lee, Jun Ho. / Survival nomogram for curatively resected Korean gastric cancer patients : Multicenter retrospective analysis with external validation. In: PloS one. 2015 ; Vol. 10, No. 2.
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abstract = "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.",
author = "Eom, {Bang Wool} and Ryu, {Keun Won} and Nam, {Byung Ho} and Yunjin Park and Lee, {Hyuk Joon} and Kim, {Min Chan} and Cho, {Gyu Seok} and Kim, {Chan Young} and Ryu, {Seung Wan} and Shin, {Dong Woo} and WooJin Hyung and Lee, {Jun Ho}",
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Eom, BW, Ryu, KW, Nam, BH, Park, Y, Lee, HJ, Kim, MC, Cho, GS, Kim, CY, Ryu, SW, Shin, DW, Hyung, W & Lee, JH 2015, 'Survival nomogram for curatively resected Korean gastric cancer patients: Multicenter retrospective analysis with external validation', PloS one, vol. 10, no. 2, e0119671. https://doi.org/10.1371/journal.pone.0119671

Survival nomogram for curatively resected Korean gastric cancer patients : Multicenter retrospective analysis with external validation. / Eom, Bang Wool; Ryu, Keun Won; Nam, Byung Ho; Park, Yunjin; Lee, Hyuk Joon; Kim, Min Chan; Cho, Gyu Seok; Kim, Chan Young; Ryu, Seung Wan; Shin, Dong Woo; Hyung, WooJin; Lee, Jun Ho.

In: PloS one, Vol. 10, No. 2, e0119671, 27.02.2015.

Research output: Contribution to journalArticle

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T1 - Survival nomogram for curatively resected Korean gastric cancer patients

T2 - Multicenter retrospective analysis with external validation

AU - Eom, Bang Wool

AU - Ryu, Keun Won

AU - Nam, Byung Ho

AU - Park, Yunjin

AU - Lee, Hyuk Joon

AU - Kim, Min Chan

AU - Cho, Gyu Seok

AU - Kim, Chan Young

AU - Ryu, Seung Wan

AU - Shin, Dong Woo

AU - Hyung, WooJin

AU - Lee, Jun Ho

PY - 2015/2/27

Y1 - 2015/2/27

N2 - 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.

AB - 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.

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