Survival nomogram for curatively resected Korean gastric cancer patients: multicenter retrospective analysis with external validation
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 pati...
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| creator | 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, Woo Jin Lee, Jun Ho |
| description | 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.
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.
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).
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. |
| doi_str_mv | 10.1371/journal.pone.0119671 |
| format | Article |
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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.
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).
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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0119671</identifier><identifier>PMID: 25723182</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Aged ; Analysis ; Antigens ; Biometrics ; Biopsy ; Calibration ; Cancer ; Cancer patients ; Care and treatment ; Chemotherapy ; Confidence intervals ; Data bases ; Epidemiology ; Female ; Gastric cancer ; Hospitals ; Humans ; Lymph nodes ; Lymphatic system ; Male ; Medical prognosis ; Medicine ; Metastases ; Metastasis ; Middle Aged ; Multicenter Studies as Topic ; Multivariate analysis ; Neoplasm Grading - methods ; Nomograms ; Patient outcomes ; Patients ; Prognosis ; Regression analysis ; Regression models ; Republic of Korea ; Retrospective Studies ; Statistical analysis ; Statistical tests ; Stomach cancer ; Stomach Neoplasms - pathology ; Stomach Neoplasms - surgery ; Surgery ; Survival ; Survival Analysis ; Tomography</subject><ispartof>PloS one, 2015-02, Vol.10 (2), p.e0119671-e0119671</ispartof><rights>COPYRIGHT 2015 Public Library of Science</rights><rights>2015 Eom et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2015 Eom et al 2015 Eom et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-d8086755c376cc02c939adef15cadc7e2a4c639ca74e0d6a801587b620c7081d3</citedby><cites>FETCH-LOGICAL-c692t-d8086755c376cc02c939adef15cadc7e2a4c639ca74e0d6a801587b620c7081d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4344235/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4344235/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25723182$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Eom, Bang Wool</creatorcontrib><creatorcontrib>Ryu, Keun Won</creatorcontrib><creatorcontrib>Nam, Byung-Ho</creatorcontrib><creatorcontrib>Park, Yunjin</creatorcontrib><creatorcontrib>Lee, Hyuk-Joon</creatorcontrib><creatorcontrib>Kim, Min Chan</creatorcontrib><creatorcontrib>Cho, Gyu Seok</creatorcontrib><creatorcontrib>Kim, Chan Young</creatorcontrib><creatorcontrib>Ryu, Seung Wan</creatorcontrib><creatorcontrib>Shin, Dong Woo</creatorcontrib><creatorcontrib>Hyung, Woo Jin</creatorcontrib><creatorcontrib>Lee, Jun Ho</creatorcontrib><title>Survival nomogram for curatively resected Korean gastric cancer patients: multicenter retrospective analysis with external validation</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>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.
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.
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).
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.</description><subject>Adult</subject><subject>Aged</subject><subject>Analysis</subject><subject>Antigens</subject><subject>Biometrics</subject><subject>Biopsy</subject><subject>Calibration</subject><subject>Cancer</subject><subject>Cancer patients</subject><subject>Care and treatment</subject><subject>Chemotherapy</subject><subject>Confidence intervals</subject><subject>Data bases</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Gastric cancer</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Lymph nodes</subject><subject>Lymphatic system</subject><subject>Male</subject><subject>Medical prognosis</subject><subject>Medicine</subject><subject>Metastases</subject><subject>Metastasis</subject><subject>Middle Aged</subject><subject>Multicenter Studies as Topic</subject><subject>Multivariate analysis</subject><subject>Neoplasm Grading - methods</subject><subject>Nomograms</subject><subject>Patient outcomes</subject><subject>Patients</subject><subject>Prognosis</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Republic of Korea</subject><subject>Retrospective Studies</subject><subject>Statistical analysis</subject><subject>Statistical tests</subject><subject>Stomach cancer</subject><subject>Stomach Neoplasms - pathology</subject><subject>Stomach Neoplasms - surgery</subject><subject>Surgery</subject><subject>Survival</subject><subject>Survival Analysis</subject><subject>Tomography</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk12L1DAUhoso7rr6D0QDgujFjPlqknohLIsfgwsLrnobMmk6k6FtxqQdnR_g__bU6S5T2QvpRcPJ874nOTkny54SPCdMkjeb0MfW1PNtaN0cE1IISe5lp6RgdCYoZveP1ifZo5Q2GOdMCfEwO6G5pIwoepr9vu7jzu9MjdrQhFU0DapCRLaPpvM7V-9RdMnZzpXoc4jOtGhlUhe9Rda01kW0Bc61XXqLmr7uvIU1RKPrYkhbEIIJMnDOffIJ_fTdGrlfQEAEQVZfgjy0j7MHlamTezL-z7JvH95_vfg0u7z6uLg4v5xZUdBuViqshMxzy6SwFlNbsMKUriK5NaWVjhpuBSuskdzhUhiFSa7kEipgJVakZGfZ84Pvtg5JjxVMmohcqYJTiYFYHIgymI3eRt-YuNfBeP03EOJKmwjXrJ0WS6qYwCXnS8Ir4ZaSKINzW1YVZxJT8Ho3ZuuXjSuH0kRTT0ynO61f61XYac44pywHg1ejQQw_epc63fhkXV2b1oV-OLfAnJNCFYC--Ae9-3YjtTJwAd9WAfLawVSfc0oUtIQkQM3voOArXeMttFvlIT4RvJ4IgOnglVemT0kvrr_8P3v1fcq-PGLXztTdOoW6H1omTUF-AC10XYquui0ywXqYlptq6GFa9DgtIHt2_EC3opvxYH8A4SISiQ</recordid><startdate>20150227</startdate><enddate>20150227</enddate><creator>Eom, 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nomogram for curatively resected Korean gastric cancer patients: multicenter retrospective analysis with external validation</title><author>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, Woo Jin ; Lee, Jun Ho</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-d8086755c376cc02c939adef15cadc7e2a4c639ca74e0d6a801587b620c7081d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Analysis</topic><topic>Antigens</topic><topic>Biometrics</topic><topic>Biopsy</topic><topic>Calibration</topic><topic>Cancer</topic><topic>Cancer patients</topic><topic>Care and treatment</topic><topic>Chemotherapy</topic><topic>Confidence intervals</topic><topic>Data bases</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Gastric cancer</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Lymph nodes</topic><topic>Lymphatic system</topic><topic>Male</topic><topic>Medical prognosis</topic><topic>Medicine</topic><topic>Metastases</topic><topic>Metastasis</topic><topic>Middle Aged</topic><topic>Multicenter Studies as Topic</topic><topic>Multivariate analysis</topic><topic>Neoplasm Grading - methods</topic><topic>Nomograms</topic><topic>Patient outcomes</topic><topic>Patients</topic><topic>Prognosis</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Republic of Korea</topic><topic>Retrospective Studies</topic><topic>Statistical analysis</topic><topic>Statistical tests</topic><topic>Stomach cancer</topic><topic>Stomach Neoplasms - pathology</topic><topic>Stomach Neoplasms - surgery</topic><topic>Surgery</topic><topic>Survival</topic><topic>Survival 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one</jtitle><addtitle>PLoS One</addtitle><date>2015-02-27</date><risdate>2015</risdate><volume>10</volume><issue>2</issue><spage>e0119671</spage><epage>e0119671</epage><pages>e0119671-e0119671</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>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.
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.
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).
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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25723182</pmid><doi>10.1371/journal.pone.0119671</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2015-02, Vol.10 (2), p.e0119671-e0119671 |
| issn | 1932-6203 1932-6203 |
| language | eng |
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| subjects | Adult Aged Analysis Antigens Biometrics Biopsy Calibration Cancer Cancer patients Care and treatment Chemotherapy Confidence intervals Data bases Epidemiology Female Gastric cancer Hospitals Humans Lymph nodes Lymphatic system Male Medical prognosis Medicine Metastases Metastasis Middle Aged Multicenter Studies as Topic Multivariate analysis Neoplasm Grading - methods Nomograms Patient outcomes Patients Prognosis Regression analysis Regression models Republic of Korea Retrospective Studies Statistical analysis Statistical tests Stomach cancer Stomach Neoplasms - pathology Stomach Neoplasms - surgery Surgery Survival Survival Analysis Tomography |
| title | Survival nomogram for curatively resected Korean gastric cancer patients: multicenter retrospective analysis with external validation |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T17%3A06%3A00IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Survival%20nomogram%20for%20curatively%20resected%20Korean%20gastric%20cancer%20patients:%20multicenter%20retrospective%20analysis%20with%20external%20validation&rft.jtitle=PloS%20one&rft.au=Eom,%20Bang%20Wool&rft.date=2015-02-27&rft.volume=10&rft.issue=2&rft.spage=e0119671&rft.epage=e0119671&rft.pages=e0119671-e0119671&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0119671&rft_dat=%3Cgale_plos_%3EA421818271%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1658894270&rft_id=info:pmid/25723182&rft_galeid=A421818271&rft_doaj_id=oai_doaj_org_article_6b28360d44b14f6eb718a05cdff43702&rfr_iscdi=true |