Tumor Size as a Recommendable Variable for Accuracy of the Prognostic Prediction of Gastric Cancer: A Retrospective Analysis of 1,521 ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2015-02

AUTHORS

Jingyu Deng, Rupeng Zhang, Yuan Pan, Xuewei Ding, Mingzhi Cai, Yong Liu, Honggen Liu, Tao Bao, Xuguang Jiao, Xishan Hao, Han Liang

ABSTRACT

BACKGROUND: It is still controversial whether tumor size (Ts) should be considered an important indicator for evaluation the prognosis of gastric cancer (GC). The purpose of this study was to elucidate the prognostic prediction superiority of Ts in the large-scale cohort of GC patients. METHODS: Data from 1,521 patients who underwent the curative resection were analyzed for demonstration the prognostic value of Ts. In addition, a tumor size-node-metastasis (TsNM) classification system was proposed to evaluate the comparative superiorities of the prognostic prediction of GC patients. RESULTS: With the univariate and multivariate analyses, Ts was identified as an independently prognostic predictor of GC patients, as was T stage. Ts was demonstrated to have smaller Akaike information criterion and Bayesian Information Criterion values within the Cox regression analyses than shown by T stage, which represented the optimum prognostic stratification. TsNM classification was also found to be competent for accurately prognostic evaluation of GC patients. The matched case-control logistic regression showed that TsNM classification could provide very powerful discriminations of patients' overall survival, compared with TNM classification. Additionally, Ts stage was found to enhance the survival discriminations in patients with certain clinicopathological characteristics, including male gender, T4a stage, N0 stage, diffuse type of Lauren classification, or age ≤60 years. CONCLUSIONS: Ts should be recommended as an important clinicopathologic variable to enhance the accuracy of the prognostic prediction of GC clinical patients. More... »

PAGES

565-572

Identifiers

URI

http://scigraph.springernature.com/pub.10.1245/s10434-014-4014-x

DOI

http://dx.doi.org/10.1245/s10434-014-4014-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1015260447

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25155400


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1112", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oncology and Carcinogenesis", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adenocarcinoma", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chemotherapy, Adjuvant", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gastrectomy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Lymph Node Excision", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Lymph Nodes", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Lymphatic Metastasis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasm Staging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Stomach Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Survival Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Young Adult", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Tianjin Medical University Cancer Institute and Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411918.4", 
          "name": [
            "Department of Gastric Cancer Surgery, National Clinical Research Center for Cancer, City Key Laboratory of Tianjin Cancer Center, Tianjin Medical University Cancer Hospital, Tianjin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Deng", 
        "givenName": "Jingyu", 
        "id": "sg:person.01371665071.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371665071.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tianjin Medical University Cancer Institute and Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411918.4", 
          "name": [
            "Department of Gastric Cancer Surgery, National Clinical Research Center for Cancer, City Key Laboratory of Tianjin Cancer Center, Tianjin Medical University Cancer Hospital, Tianjin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Rupeng", 
        "id": "sg:person.0621713710.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0621713710.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tianjin Medical University Cancer Institute and Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411918.4", 
          "name": [
            "Department of Gastric Cancer Surgery, National Clinical Research Center for Cancer, City Key Laboratory of Tianjin Cancer Center, Tianjin Medical University Cancer Hospital, Tianjin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pan", 
        "givenName": "Yuan", 
        "id": "sg:person.01315315462.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01315315462.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tianjin Medical University Cancer Institute and Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411918.4", 
          "name": [
            "Department of Gastric Cancer Surgery, National Clinical Research Center for Cancer, City Key Laboratory of Tianjin Cancer Center, Tianjin Medical University Cancer Hospital, Tianjin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ding", 
        "givenName": "Xuewei", 
        "id": "sg:person.01303123323.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01303123323.87"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tianjin Medical University Cancer Institute and Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411918.4", 
          "name": [
            "Department of Gastric Cancer Surgery, National Clinical Research Center for Cancer, City Key Laboratory of Tianjin Cancer Center, Tianjin Medical University Cancer Hospital, Tianjin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cai", 
        "givenName": "Mingzhi", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tianjin Medical University Cancer Institute and Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411918.4", 
          "name": [
            "Department of Gastric Cancer Surgery, National Clinical Research Center for Cancer, City Key Laboratory of Tianjin Cancer Center, Tianjin Medical University Cancer Hospital, Tianjin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liu", 
        "givenName": "Yong", 
        "id": "sg:person.01271163550.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01271163550.88"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tianjin Medical University Cancer Institute and Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411918.4", 
          "name": [
            "Department of Gastric Cancer Surgery, National Clinical Research Center for Cancer, City Key Laboratory of Tianjin Cancer Center, Tianjin Medical University Cancer Hospital, Tianjin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liu", 
        "givenName": "Honggen", 
        "id": "sg:person.0730710441.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0730710441.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tianjin Medical University Cancer Institute and Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411918.4", 
          "name": [
            "Department of Gastric Cancer Surgery, National Clinical Research Center for Cancer, City Key Laboratory of Tianjin Cancer Center, Tianjin Medical University Cancer Hospital, Tianjin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bao", 
        "givenName": "Tao", 
        "id": "sg:person.0576715616.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0576715616.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tianjin Medical University Cancer Institute and Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411918.4", 
          "name": [
            "Department of Gastric Cancer Surgery, National Clinical Research Center for Cancer, City Key Laboratory of Tianjin Cancer Center, Tianjin Medical University Cancer Hospital, Tianjin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jiao", 
        "givenName": "Xuguang", 
        "id": "sg:person.0621574314.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0621574314.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tianjin Medical University Cancer Institute and Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411918.4", 
          "name": [
            "Department of Gastric Cancer Surgery, National Clinical Research Center for Cancer, City Key Laboratory of Tianjin Cancer Center, Tianjin Medical University Cancer Hospital, Tianjin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hao", 
        "givenName": "Xishan", 
        "id": "sg:person.0674537201.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0674537201.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tianjin Medical University Cancer Institute and Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411918.4", 
          "name": [
            "Department of Gastric Cancer Surgery, National Clinical Research Center for Cancer, City Key Laboratory of Tianjin Cancer Center, Tianjin Medical University Cancer Hospital, Tianjin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liang", 
        "givenName": "Han", 
        "id": "sg:person.0701664670.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0701664670.64"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/jso.20631", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001565792"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rct.0b013e31828ba718", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001880785"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rct.0b013e31828ba718", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001880785"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0054502", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002482858"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jso.21119", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002506364"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/sla.0b013e3181a3df77", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003083353"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/sla.0b013e3181a3df77", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003083353"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/sla.0b013e3181a3df77", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003083353"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0025-5564(01)00054-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009677978"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ophtha.2013.03.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014379477"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2005.14.621", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015339622"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000227424", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020101429"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02303796", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021301900", 
          "https://doi.org/10.1007/bf02303796"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02303796", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021301900", 
          "https://doi.org/10.1007/bf02303796"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.23185", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022267768"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00423-008-0417-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022348454", 
          "https://doi.org/10.1007/s00423-008-0417-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00423-008-0417-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022348454", 
          "https://doi.org/10.1007/s00423-008-0417-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/00365528709091021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024019822"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.suronc.2013.05.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024959673"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1245/s10434-009-0449-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025108722", 
          "https://doi.org/10.1245/s10434-009-0449-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1245/s10434-009-0449-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025108722", 
          "https://doi.org/10.1245/s10434-009-0449-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mehy.2013.01.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029644362"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jso.20951", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030057459"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.suronc.2014.01.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031321212"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10689-013-9682-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031814327", 
          "https://doi.org/10.1007/s10689-013-9682-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.amjsurg.2006.03.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034229761"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s101200200035", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035253354", 
          "https://doi.org/10.1007/s101200200035"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000322215", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043511872"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/jto.0000000000000020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044293179"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s101200200000", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044679233", 
          "https://doi.org/10.1007/s101200200000"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10120-011-0024-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047298875", 
          "https://doi.org/10.1007/s10120-011-0024-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archsurg.1992.01420030052010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048262330"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2012.45.0973", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049365730"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/igc.0b013e31828c85c6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052392819"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/igc.0b013e31828c85c6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052392819"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/sla.0b013e3182369101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053458269"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/sla.0b013e3182369101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053458269"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1245/s10434-009-0863-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053491556", 
          "https://doi.org/10.1245/s10434-009-0863-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1245/s10434-009-0863-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053491556", 
          "https://doi.org/10.1245/s10434-009-0863-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1289/ehp.908763", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064744552"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3892/or.2014.3108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071533004"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3892/or.2014.3108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071533004"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078698593", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078704552", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079304654", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-02", 
    "datePublishedReg": "2015-02-01", 
    "description": "BACKGROUND: It is still controversial whether tumor size (Ts) should be considered an important indicator for evaluation the prognosis of gastric cancer (GC). The purpose of this study was to elucidate the prognostic prediction superiority of Ts in the large-scale cohort of GC patients.\nMETHODS: Data from 1,521 patients who underwent the curative resection were analyzed for demonstration the prognostic value of Ts. In addition, a tumor size-node-metastasis (TsNM) classification system was proposed to evaluate the comparative superiorities of the prognostic prediction of GC patients.\nRESULTS: With the univariate and multivariate analyses, Ts was identified as an independently prognostic predictor of GC patients, as was T stage. Ts was demonstrated to have smaller Akaike information criterion and Bayesian Information Criterion values within the Cox regression analyses than shown by T stage, which represented the optimum prognostic stratification. TsNM classification was also found to be competent for accurately prognostic evaluation of GC patients. The matched case-control logistic regression showed that TsNM classification could provide very powerful discriminations of patients' overall survival, compared with TNM classification. Additionally, Ts stage was found to enhance the survival discriminations in patients with certain clinicopathological characteristics, including male gender, T4a stage, N0 stage, diffuse type of Lauren classification, or age\u00a0\u226460\u00a0years.\nCONCLUSIONS: Ts should be recommended as an important clinicopathologic variable to enhance the accuracy of the prognostic prediction of GC clinical patients.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1245/s10434-014-4014-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1105545", 
        "issn": [
          "1068-9265", 
          "1534-4681"
        ], 
        "name": "Annals of Surgical Oncology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "22"
      }
    ], 
    "name": "Tumor Size as a Recommendable Variable for Accuracy of the Prognostic Prediction of Gastric Cancer: A Retrospective Analysis of 1,521 Patients", 
    "pagination": "565-572", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "48b5383c145d1d18e2bf39315899244997a98ce7b151bcee9ee74d7e3862ddcc"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "25155400"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9420840"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1245/s10434-014-4014-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1015260447"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1245/s10434-014-4014-x", 
      "https://app.dimensions.ai/details/publication/pub.1015260447"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T17:28", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8672_00000499.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1245/s10434-014-4014-x"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1245/s10434-014-4014-x'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1245/s10434-014-4014-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1245/s10434-014-4014-x'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1245/s10434-014-4014-x'


 

This table displays all metadata directly associated to this object as RDF triples.

324 TRIPLES      21 PREDICATES      83 URIs      40 LITERALS      28 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1245/s10434-014-4014-x schema:about N0e8e2359058543fca4446896aa067c26
2 N0f38d69ec88c478387114b62efc8e8d7
3 N15d7b5af39a64453a30d1e731bb34503
4 N2345a4f4bc884373a16d5f7ac6bc0185
5 N3816dd2f369d4ec7b3dac88f1c8d077b
6 N3b19240a9c314938b407ece0353f58fd
7 N4bb2c9127a614d5ca8960c902e0e7373
8 N61ce7348795e4c909ed4ab95d7ddebfe
9 N6408d3e2178a45a8b185aab3b124e3b6
10 N7c1fc75104ad439996128fc00b6d1027
11 N82fb12fc804646e5a4e91e71624126c7
12 N9785731923364cc794408902705fd2b6
13 Nbb6dd6712ff544b79c94e6588fab03b3
14 Nbbc1ea674f80449dbc21e01894d9557b
15 Nbca901a17df347dab750d23e3d3833b0
16 Nca5c583c444e4a08882702b94762f6e5
17 Nd2b9add61b3f436aa415c91191d07749
18 Nef75cda402614ba49d1bdfb32e1bf7ac
19 Nff4ec4ebe258412a88c0a70eca976d70
20 anzsrc-for:11
21 anzsrc-for:1112
22 schema:author N4c689eda03384a5ca66f4f05aa0f2eae
23 schema:citation sg:pub.10.1007/bf02303796
24 sg:pub.10.1007/s00423-008-0417-0
25 sg:pub.10.1007/s10120-011-0024-6
26 sg:pub.10.1007/s101200200000
27 sg:pub.10.1007/s101200200035
28 sg:pub.10.1007/s10689-013-9682-3
29 sg:pub.10.1245/s10434-009-0449-x
30 sg:pub.10.1245/s10434-009-0863-0
31 https://app.dimensions.ai/details/publication/pub.1078698593
32 https://app.dimensions.ai/details/publication/pub.1078704552
33 https://app.dimensions.ai/details/publication/pub.1079304654
34 https://doi.org/10.1001/archsurg.1992.01420030052010
35 https://doi.org/10.1002/cncr.23185
36 https://doi.org/10.1002/jso.20631
37 https://doi.org/10.1002/jso.20951
38 https://doi.org/10.1002/jso.21119
39 https://doi.org/10.1016/j.amjsurg.2006.03.004
40 https://doi.org/10.1016/j.mehy.2013.01.027
41 https://doi.org/10.1016/j.ophtha.2013.03.012
42 https://doi.org/10.1016/j.suronc.2013.05.002
43 https://doi.org/10.1016/j.suronc.2014.01.003
44 https://doi.org/10.1016/s0025-5564(01)00054-2
45 https://doi.org/10.1097/igc.0b013e31828c85c6
46 https://doi.org/10.1097/jto.0000000000000020
47 https://doi.org/10.1097/rct.0b013e31828ba718
48 https://doi.org/10.1097/sla.0b013e3181a3df77
49 https://doi.org/10.1097/sla.0b013e3182369101
50 https://doi.org/10.1159/000227424
51 https://doi.org/10.1159/000322215
52 https://doi.org/10.1200/jco.2005.14.621
53 https://doi.org/10.1200/jco.2012.45.0973
54 https://doi.org/10.1289/ehp.908763
55 https://doi.org/10.1371/journal.pone.0054502
56 https://doi.org/10.3109/00365528709091021
57 https://doi.org/10.3892/or.2014.3108
58 schema:datePublished 2015-02
59 schema:datePublishedReg 2015-02-01
60 schema:description BACKGROUND: It is still controversial whether tumor size (Ts) should be considered an important indicator for evaluation the prognosis of gastric cancer (GC). The purpose of this study was to elucidate the prognostic prediction superiority of Ts in the large-scale cohort of GC patients. METHODS: Data from 1,521 patients who underwent the curative resection were analyzed for demonstration the prognostic value of Ts. In addition, a tumor size-node-metastasis (TsNM) classification system was proposed to evaluate the comparative superiorities of the prognostic prediction of GC patients. RESULTS: With the univariate and multivariate analyses, Ts was identified as an independently prognostic predictor of GC patients, as was T stage. Ts was demonstrated to have smaller Akaike information criterion and Bayesian Information Criterion values within the Cox regression analyses than shown by T stage, which represented the optimum prognostic stratification. TsNM classification was also found to be competent for accurately prognostic evaluation of GC patients. The matched case-control logistic regression showed that TsNM classification could provide very powerful discriminations of patients' overall survival, compared with TNM classification. Additionally, Ts stage was found to enhance the survival discriminations in patients with certain clinicopathological characteristics, including male gender, T4a stage, N0 stage, diffuse type of Lauren classification, or age ≤60 years. CONCLUSIONS: Ts should be recommended as an important clinicopathologic variable to enhance the accuracy of the prognostic prediction of GC clinical patients.
61 schema:genre research_article
62 schema:inLanguage en
63 schema:isAccessibleForFree false
64 schema:isPartOf N8a12fe37dcba4998a1e95e97cd4e0872
65 Ne238229418914ec196ce627ad1846565
66 sg:journal.1105545
67 schema:name Tumor Size as a Recommendable Variable for Accuracy of the Prognostic Prediction of Gastric Cancer: A Retrospective Analysis of 1,521 Patients
68 schema:pagination 565-572
69 schema:productId N04bfc0a824be458d963597aabac58138
70 N7833a6be804640b58f190da25b2e4e87
71 N9f9b648e50d345d69844d4a7b20ff867
72 Na3bd5a9573dd4d5999598f4f252c80e8
73 Ne4e3d2552d7147dd975ccdc3ebf996c2
74 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015260447
75 https://doi.org/10.1245/s10434-014-4014-x
76 schema:sdDatePublished 2019-04-10T17:28
77 schema:sdLicense https://scigraph.springernature.com/explorer/license/
78 schema:sdPublisher Nba4884fce0254e7e9dbc93faa0fd9b82
79 schema:url http://link.springer.com/10.1245/s10434-014-4014-x
80 sgo:license sg:explorer/license/
81 sgo:sdDataset articles
82 rdf:type schema:ScholarlyArticle
83 N04bfc0a824be458d963597aabac58138 schema:name dimensions_id
84 schema:value pub.1015260447
85 rdf:type schema:PropertyValue
86 N0aa27e44c3464b12a354fd39e69602e2 rdf:first sg:person.0576715616.15
87 rdf:rest N4aea63bc49fe4f0d8851fc9a21f0454f
88 N0e8e2359058543fca4446896aa067c26 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Neoplasm Staging
90 rdf:type schema:DefinedTerm
91 N0f38d69ec88c478387114b62efc8e8d7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
92 schema:name Middle Aged
93 rdf:type schema:DefinedTerm
94 N158e317884e2432281ed8b4d8769a053 rdf:first sg:person.0730710441.49
95 rdf:rest N0aa27e44c3464b12a354fd39e69602e2
96 N15d7b5af39a64453a30d1e731bb34503 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Female
98 rdf:type schema:DefinedTerm
99 N2345a4f4bc884373a16d5f7ac6bc0185 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Adenocarcinoma
101 rdf:type schema:DefinedTerm
102 N2bf0a0c0974e497ab766032cdae06588 rdf:first sg:person.01303123323.87
103 rdf:rest Nf7b44c96359b452ba95bb6e314294c9d
104 N2e962475841b4698a139aba3632101f9 rdf:first sg:person.0674537201.03
105 rdf:rest N9e52de62b03344cf9b8a023e3e3c927e
106 N3816dd2f369d4ec7b3dac88f1c8d077b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Aged
108 rdf:type schema:DefinedTerm
109 N3b19240a9c314938b407ece0353f58fd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Young Adult
111 rdf:type schema:DefinedTerm
112 N4aea63bc49fe4f0d8851fc9a21f0454f rdf:first sg:person.0621574314.47
113 rdf:rest N2e962475841b4698a139aba3632101f9
114 N4bb2c9127a614d5ca8960c902e0e7373 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Retrospective Studies
116 rdf:type schema:DefinedTerm
117 N4c689eda03384a5ca66f4f05aa0f2eae rdf:first sg:person.01371665071.18
118 rdf:rest N501cd3ec941c4a3ea68c11bcb20f1d6e
119 N501cd3ec941c4a3ea68c11bcb20f1d6e rdf:first sg:person.0621713710.30
120 rdf:rest Nc5e1a8b39f1e455eab6aa68134637ec1
121 N61ce7348795e4c909ed4ab95d7ddebfe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Lymph Nodes
123 rdf:type schema:DefinedTerm
124 N6408d3e2178a45a8b185aab3b124e3b6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Male
126 rdf:type schema:DefinedTerm
127 N7833a6be804640b58f190da25b2e4e87 schema:name pubmed_id
128 schema:value 25155400
129 rdf:type schema:PropertyValue
130 N7c1fc75104ad439996128fc00b6d1027 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Survival Analysis
132 rdf:type schema:DefinedTerm
133 N82fb12fc804646e5a4e91e71624126c7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Gastrectomy
135 rdf:type schema:DefinedTerm
136 N8a12fe37dcba4998a1e95e97cd4e0872 schema:volumeNumber 22
137 rdf:type schema:PublicationVolume
138 N9785731923364cc794408902705fd2b6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Stomach Neoplasms
140 rdf:type schema:DefinedTerm
141 N9e52de62b03344cf9b8a023e3e3c927e rdf:first sg:person.0701664670.64
142 rdf:rest rdf:nil
143 N9f9b648e50d345d69844d4a7b20ff867 schema:name readcube_id
144 schema:value 48b5383c145d1d18e2bf39315899244997a98ce7b151bcee9ee74d7e3862ddcc
145 rdf:type schema:PropertyValue
146 Na3bd5a9573dd4d5999598f4f252c80e8 schema:name doi
147 schema:value 10.1245/s10434-014-4014-x
148 rdf:type schema:PropertyValue
149 Nba4884fce0254e7e9dbc93faa0fd9b82 schema:name Springer Nature - SN SciGraph project
150 rdf:type schema:Organization
151 Nbb6dd6712ff544b79c94e6588fab03b3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Aged, 80 and over
153 rdf:type schema:DefinedTerm
154 Nbbc1ea674f80449dbc21e01894d9557b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
155 schema:name Adult
156 rdf:type schema:DefinedTerm
157 Nbca901a17df347dab750d23e3d3833b0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Lymph Node Excision
159 rdf:type schema:DefinedTerm
160 Nc5e1a8b39f1e455eab6aa68134637ec1 rdf:first sg:person.01315315462.44
161 rdf:rest N2bf0a0c0974e497ab766032cdae06588
162 Nca5c583c444e4a08882702b94762f6e5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
163 schema:name Prognosis
164 rdf:type schema:DefinedTerm
165 Nd2b9add61b3f436aa415c91191d07749 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
166 schema:name Lymphatic Metastasis
167 rdf:type schema:DefinedTerm
168 Ne238229418914ec196ce627ad1846565 schema:issueNumber 2
169 rdf:type schema:PublicationIssue
170 Ne4e3d2552d7147dd975ccdc3ebf996c2 schema:name nlm_unique_id
171 schema:value 9420840
172 rdf:type schema:PropertyValue
173 Nef75cda402614ba49d1bdfb32e1bf7ac schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
174 schema:name Humans
175 rdf:type schema:DefinedTerm
176 Nf2d025972a5b4022af8764cb6fcf658b rdf:first sg:person.01271163550.88
177 rdf:rest N158e317884e2432281ed8b4d8769a053
178 Nf7b44c96359b452ba95bb6e314294c9d rdf:first Nfc59d0cb269c4cd883fe11a80f2147d1
179 rdf:rest Nf2d025972a5b4022af8764cb6fcf658b
180 Nfc59d0cb269c4cd883fe11a80f2147d1 schema:affiliation https://www.grid.ac/institutes/grid.411918.4
181 schema:familyName Cai
182 schema:givenName Mingzhi
183 rdf:type schema:Person
184 Nff4ec4ebe258412a88c0a70eca976d70 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
185 schema:name Chemotherapy, Adjuvant
186 rdf:type schema:DefinedTerm
187 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
188 schema:name Medical and Health Sciences
189 rdf:type schema:DefinedTerm
190 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
191 schema:name Oncology and Carcinogenesis
192 rdf:type schema:DefinedTerm
193 sg:journal.1105545 schema:issn 1068-9265
194 1534-4681
195 schema:name Annals of Surgical Oncology
196 rdf:type schema:Periodical
197 sg:person.01271163550.88 schema:affiliation https://www.grid.ac/institutes/grid.411918.4
198 schema:familyName Liu
199 schema:givenName Yong
200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01271163550.88
201 rdf:type schema:Person
202 sg:person.01303123323.87 schema:affiliation https://www.grid.ac/institutes/grid.411918.4
203 schema:familyName Ding
204 schema:givenName Xuewei
205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01303123323.87
206 rdf:type schema:Person
207 sg:person.01315315462.44 schema:affiliation https://www.grid.ac/institutes/grid.411918.4
208 schema:familyName Pan
209 schema:givenName Yuan
210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01315315462.44
211 rdf:type schema:Person
212 sg:person.01371665071.18 schema:affiliation https://www.grid.ac/institutes/grid.411918.4
213 schema:familyName Deng
214 schema:givenName Jingyu
215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371665071.18
216 rdf:type schema:Person
217 sg:person.0576715616.15 schema:affiliation https://www.grid.ac/institutes/grid.411918.4
218 schema:familyName Bao
219 schema:givenName Tao
220 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0576715616.15
221 rdf:type schema:Person
222 sg:person.0621574314.47 schema:affiliation https://www.grid.ac/institutes/grid.411918.4
223 schema:familyName Jiao
224 schema:givenName Xuguang
225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0621574314.47
226 rdf:type schema:Person
227 sg:person.0621713710.30 schema:affiliation https://www.grid.ac/institutes/grid.411918.4
228 schema:familyName Zhang
229 schema:givenName Rupeng
230 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0621713710.30
231 rdf:type schema:Person
232 sg:person.0674537201.03 schema:affiliation https://www.grid.ac/institutes/grid.411918.4
233 schema:familyName Hao
234 schema:givenName Xishan
235 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0674537201.03
236 rdf:type schema:Person
237 sg:person.0701664670.64 schema:affiliation https://www.grid.ac/institutes/grid.411918.4
238 schema:familyName Liang
239 schema:givenName Han
240 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0701664670.64
241 rdf:type schema:Person
242 sg:person.0730710441.49 schema:affiliation https://www.grid.ac/institutes/grid.411918.4
243 schema:familyName Liu
244 schema:givenName Honggen
245 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0730710441.49
246 rdf:type schema:Person
247 sg:pub.10.1007/bf02303796 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021301900
248 https://doi.org/10.1007/bf02303796
249 rdf:type schema:CreativeWork
250 sg:pub.10.1007/s00423-008-0417-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022348454
251 https://doi.org/10.1007/s00423-008-0417-0
252 rdf:type schema:CreativeWork
253 sg:pub.10.1007/s10120-011-0024-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047298875
254 https://doi.org/10.1007/s10120-011-0024-6
255 rdf:type schema:CreativeWork
256 sg:pub.10.1007/s101200200000 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044679233
257 https://doi.org/10.1007/s101200200000
258 rdf:type schema:CreativeWork
259 sg:pub.10.1007/s101200200035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035253354
260 https://doi.org/10.1007/s101200200035
261 rdf:type schema:CreativeWork
262 sg:pub.10.1007/s10689-013-9682-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031814327
263 https://doi.org/10.1007/s10689-013-9682-3
264 rdf:type schema:CreativeWork
265 sg:pub.10.1245/s10434-009-0449-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1025108722
266 https://doi.org/10.1245/s10434-009-0449-x
267 rdf:type schema:CreativeWork
268 sg:pub.10.1245/s10434-009-0863-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053491556
269 https://doi.org/10.1245/s10434-009-0863-0
270 rdf:type schema:CreativeWork
271 https://app.dimensions.ai/details/publication/pub.1078698593 schema:CreativeWork
272 https://app.dimensions.ai/details/publication/pub.1078704552 schema:CreativeWork
273 https://app.dimensions.ai/details/publication/pub.1079304654 schema:CreativeWork
274 https://doi.org/10.1001/archsurg.1992.01420030052010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048262330
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1002/cncr.23185 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022267768
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1002/jso.20631 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001565792
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1002/jso.20951 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030057459
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1002/jso.21119 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002506364
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1016/j.amjsurg.2006.03.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034229761
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1016/j.mehy.2013.01.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029644362
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1016/j.ophtha.2013.03.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014379477
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1016/j.suronc.2013.05.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024959673
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1016/j.suronc.2014.01.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031321212
293 rdf:type schema:CreativeWork
294 https://doi.org/10.1016/s0025-5564(01)00054-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009677978
295 rdf:type schema:CreativeWork
296 https://doi.org/10.1097/igc.0b013e31828c85c6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052392819
297 rdf:type schema:CreativeWork
298 https://doi.org/10.1097/jto.0000000000000020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044293179
299 rdf:type schema:CreativeWork
300 https://doi.org/10.1097/rct.0b013e31828ba718 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001880785
301 rdf:type schema:CreativeWork
302 https://doi.org/10.1097/sla.0b013e3181a3df77 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003083353
303 rdf:type schema:CreativeWork
304 https://doi.org/10.1097/sla.0b013e3182369101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053458269
305 rdf:type schema:CreativeWork
306 https://doi.org/10.1159/000227424 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020101429
307 rdf:type schema:CreativeWork
308 https://doi.org/10.1159/000322215 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043511872
309 rdf:type schema:CreativeWork
310 https://doi.org/10.1200/jco.2005.14.621 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015339622
311 rdf:type schema:CreativeWork
312 https://doi.org/10.1200/jco.2012.45.0973 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049365730
313 rdf:type schema:CreativeWork
314 https://doi.org/10.1289/ehp.908763 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064744552
315 rdf:type schema:CreativeWork
316 https://doi.org/10.1371/journal.pone.0054502 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002482858
317 rdf:type schema:CreativeWork
318 https://doi.org/10.3109/00365528709091021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024019822
319 rdf:type schema:CreativeWork
320 https://doi.org/10.3892/or.2014.3108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071533004
321 rdf:type schema:CreativeWork
322 https://www.grid.ac/institutes/grid.411918.4 schema:alternateName Tianjin Medical University Cancer Institute and Hospital
323 schema:name Department of Gastric Cancer Surgery, National Clinical Research Center for Cancer, City Key Laboratory of Tianjin Cancer Center, Tianjin Medical University Cancer Hospital, Tianjin, China
324 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...