Cancer-specific survival after radical nephroureterectomy for upper urinary tract urothelial carcinoma: proposal and multi-institutional validation of a post-operative nomogram View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2012-03

AUTHORS

D R Yates, V Hupertan, P Colin, A Ouzzane, A Descazeaud, J A Long, G Pignot, S Crouzet, F Rozet, Y Neuzillet, M Soulie, T Bodin, A Valeri, O Cussenot, M Rouprêt

ABSTRACT

BACKGROUND: Owing to the scarcity of upper urinary tract urothelial carcinoma (UUT-UC) it is often necessary for investigators to pool data. A patient-specific survival nomogram based on such data is needed to predict cancer-specific survival (CSS) post nephroureterectomy (NU). Herein, we propose and validate a nomogram to predict CSS post NU. PATIENTS AND METHODS: Twenty-one French institutions contributed data on 1120 patients treated with NU for UUT-UC. A total of 667 had full data for nomogram development. Study population was divided into the nomogram development cohort (397) and external validation cohort (270). Cox proportional hazards regression models were used for univariate and multivariate analyses and to build a nomogram. A reduced model selection was performed using a backward step-down selection process, and Harrell's concordance index (c-index) was used for quantifying the nomogram accuracy. Internal validation was performed by bootstrapping and the reduced nomogram model was calibrated. RESULTS: Of the 397 patients in the nomogram development cohort, 91 (22.9%) died during follow-up, of which 66 (72.5%) died as a consequence of UUT-UC. The actuarial CSS probability at 5 years was 0.76 (95% CI, 71.62-80.94). On multivariate analysis, T stage (P<0.0001), N status (P=0.014), grade (P=0.026), age (P=0.005) and location (P=0.022) were associated with CSS. The reduced nomogram model had an accuracy of 0.78. We propose a nomogram to predict 3 and 5-year CSS post NU for UUT-UC. CONCLUSION: We have devised and validated an accurate nomogram (78%), superior to any single clinical variable or current model, for predicting 5-year CSS post NU for UUT-UC. More... »

PAGES

1083

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/bjc.2012.64

DOI

http://dx.doi.org/10.1038/bjc.2012.64

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1048076900

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22374463


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/2008/0104", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Statistics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Mathematical Sciences", 
        "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": "Calibration", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carcinoma", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Kaplan-Meier Estimate", 
        "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": "Multivariate Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasm Grading", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Nephrectomy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Nomograms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Proportional Hazards Models", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ureter", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Urologic Neoplasms", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Academic Department of Urology of la Piti\u00e9-Salp\u00eatri\u00e8re Hospital, Assistance Publique-H\u00f4pitaux de Paris, Facult\u00e9 de M\u00e9decine Pierre et Marie Curie, University Paris VI, 47-83 Boulevard de l\u2019Hopital, Paris 75013, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yates", 
        "givenName": "D R", 
        "id": "sg:person.01076172015.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01076172015.26"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Assistance Publique -Hopitaux De Paris", 
          "id": "https://www.grid.ac/institutes/grid.50550.35", 
          "name": [
            "Academic Department of Urology and Statistics of Bichat-Claude Bernard Hospital, Assistance Publique-H\u00f4pitaux de Paris, University Paris VII Ren\u00e9 Diderot, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hupertan", 
        "givenName": "V", 
        "id": "sg:person.01212572710.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01212572710.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Academic Department of Urology, CHRU Lille, University Lille Nord de France, Lille, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Colin", 
        "givenName": "P", 
        "id": "sg:person.01353512175.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01353512175.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Academic Department of Urology, CHRU Lille, University Lille Nord de France, Lille, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ouzzane", 
        "givenName": "A", 
        "id": "sg:person.01303340602.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01303340602.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Limoges", 
          "id": "https://www.grid.ac/institutes/grid.9966.0", 
          "name": [
            "Academic Department of Urology, CHRU Limoges, University of Limoges, Limoges, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Descazeaud", 
        "givenName": "A", 
        "id": "sg:person.01066705041.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01066705041.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre Hospitalier Universitaire de Grenoble", 
          "id": "https://www.grid.ac/institutes/grid.410529.b", 
          "name": [
            "Academic Department of Urology, CHRU Grenoble, University of Grenoble, Grenoble, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Long", 
        "givenName": "J A", 
        "id": "sg:person.01243535035.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01243535035.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital Cochin", 
          "id": "https://www.grid.ac/institutes/grid.411784.f", 
          "name": [
            "Academic Department of Urology, Cochin Hospital, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pignot", 
        "givenName": "G", 
        "id": "sg:person.0756472605.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0756472605.99"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital \u00c9douard-Herriot", 
          "id": "https://www.grid.ac/institutes/grid.412180.e", 
          "name": [
            "Academic Department of Urology, Edouard Herriot Hospital, Claude Bernard Lyon 1 University, Lyon, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Crouzet", 
        "givenName": "S", 
        "id": "sg:person.01363227051.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01363227051.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute Mutualiste Montsouris", 
          "id": "https://www.grid.ac/institutes/grid.418120.e", 
          "name": [
            "Department of Urology, Institut Mutualiste Montsouris, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rozet", 
        "givenName": "F", 
        "id": "sg:person.01207612523.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01207612523.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital Foch", 
          "id": "https://www.grid.ac/institutes/grid.414106.6", 
          "name": [
            "Department of Urology, Foch Hospital, University of Paris-Ile de France Ouest, Suresnes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Neuzillet", 
        "givenName": "Y", 
        "id": "sg:person.0734372046.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734372046.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Academic Department of Urology, CHRU Toulouse, University of Toulouse, Toulouse, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Soulie", 
        "givenName": "M", 
        "id": "sg:person.0727576223.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0727576223.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Poitiers", 
          "id": "https://www.grid.ac/institutes/grid.11166.31", 
          "name": [
            "Academic Department of Urology, CHRU Poitiers, University of Poitiers, Poitiers, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bodin", 
        "givenName": "T", 
        "id": "sg:person.01007223067.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01007223067.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Academic Department of Urology, CHRU Brest, University of Brest, Brest, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Valeri", 
        "givenName": "A", 
        "id": "sg:person.01272574125.68", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01272574125.68"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Academic Department of Urology of Tenon Hospital, Assistance Publique-H\u00f4pitaux de Paris, Facult\u00e9 de M\u00e9decine Pierre et Marie Curie, University Paris VI, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cussenot", 
        "givenName": "O", 
        "id": "sg:person.013241233644.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013241233644.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Academic Department of Urology of la Piti\u00e9-Salp\u00eatri\u00e8re Hospital, Assistance Publique-H\u00f4pitaux de Paris, Facult\u00e9 de M\u00e9decine Pierre et Marie Curie, University Paris VI, 47-83 Boulevard de l\u2019Hopital, Paris 75013, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Roupr\u00eat", 
        "givenName": "M", 
        "id": "sg:person.0740171455.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0740171455.76"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.eursup.2008.01.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004154553"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1007403503", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-59871-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007403503", 
          "https://doi.org/10.1007/978-3-642-59871-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-59871-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007403503", 
          "https://doi.org/10.1007/978-3-642-59871-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.25122", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008906102"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.25122", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008906102"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.juro.2010.03.142", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013991089"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1464-410x.2009.08473.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014660266"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/90.10.766", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016489321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2007.12.4669", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019571519"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1245/s10434-011-1841-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020498206", 
          "https://doi.org/10.1245/s10434-011-1841-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eururo.2010.12.042", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025705384"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2006.06.1218", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025900030"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1078-0432.ccr-08-1888", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028510961"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0090-4295(98)00295-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033083090"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.24135", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033669387"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.24760", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033880503"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.24760", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033880503"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1078-0432.ccr-06-0372", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034921671"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0258(19960229)15:4<361::aid-sim168>3.0.co;2-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037104179"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.22313", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040097492"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1464-410x.2011.10288.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041167597"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-5347(05)66077-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043549974"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/00365598709180320", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044230486"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eururo.2008.04.082", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045474598"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eururo.2009.03.072", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049043784"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2007.12.9791", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049544341"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/suro.2002.32490", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057078825"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00000478-199812000-00001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060122727"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00000478-199812000-00001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060122727"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00000478-199812000-00001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060122727"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005392-200107000-00015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060220574"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005392-200107000-00015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060220574"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005392-200107000-00015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060220574"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.1999.17.1.168", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074511223"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2012-03", 
    "datePublishedReg": "2012-03-01", 
    "description": "BACKGROUND: Owing to the scarcity of upper urinary tract urothelial carcinoma (UUT-UC) it is often necessary for investigators to pool data. A patient-specific survival nomogram based on such data is needed to predict cancer-specific survival (CSS) post nephroureterectomy (NU). Herein, we propose and validate a nomogram to predict CSS post NU.\nPATIENTS AND METHODS: Twenty-one French institutions contributed data on 1120 patients treated with NU for UUT-UC. A total of 667 had full data for nomogram development. Study population was divided into the nomogram development cohort (397) and external validation cohort (270). Cox proportional hazards regression models were used for univariate and multivariate analyses and to build a nomogram. A reduced model selection was performed using a backward step-down selection process, and Harrell's concordance index (c-index) was used for quantifying the nomogram accuracy. Internal validation was performed by bootstrapping and the reduced nomogram model was calibrated.\nRESULTS: Of the 397 patients in the nomogram development cohort, 91 (22.9%) died during follow-up, of which 66 (72.5%) died as a consequence of UUT-UC. The actuarial CSS probability at 5 years was 0.76 (95% CI, 71.62-80.94). On multivariate analysis, T stage (P<0.0001), N status (P=0.014), grade (P=0.026), age (P=0.005) and location (P=0.022) were associated with CSS. The reduced nomogram model had an accuracy of 0.78. We propose a nomogram to predict 3 and 5-year CSS post NU for UUT-UC.\nCONCLUSION: We have devised and validated an accurate nomogram (78%), superior to any single clinical variable or current model, for predicting 5-year CSS post NU for UUT-UC.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/bjc.2012.64", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1017082", 
        "issn": [
          "0007-0920", 
          "1532-1827"
        ], 
        "name": "British Journal of Cancer", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "106"
      }
    ], 
    "name": "Cancer-specific survival after radical nephroureterectomy for upper urinary\n                    tract urothelial carcinoma: proposal and multi-institutional validation of a\n                    post-operative nomogram", 
    "pagination": "1083", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "e507b1bac97572f94d35cc165f4b7fa71d82f11b985a777c930e8549b68c9161"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "22374463"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0370635"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/bjc.2012.64"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1048076900"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/bjc.2012.64", 
      "https://app.dimensions.ai/details/publication/pub.1048076900"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T18:09", 
    "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_8675_00000434.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/bjc201264"
  }
]
 

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.10.1038/bjc.2012.64'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/bjc.2012.64'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/bjc.2012.64'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/bjc.2012.64'


 

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

359 TRIPLES      21 PREDICATES      75 URIs      39 LITERALS      27 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/bjc.2012.64 schema:about N0191517db1ad49408397613dca97cf59
2 N2f57ef08943247d4b81435da70a8192f
3 N3131a19e11214809b102544e4cd7e072
4 N53c37215f6f24130bf55678aa9e1a0a0
5 N57aafe317beb48c2af1faa9fca2c06cf
6 N64c996b773a148cdb4b78511adf51793
7 N685d40c21ebf4437bdfe839cc0e154cb
8 N6913ea70f8ac4254afbf55c9fb9cdf40
9 N777244cac8a640c6ae462e55159e69c4
10 N89d1114d024d4658b3a566a5515aa27c
11 N988e1b5759474a8a857c11f1f27e652c
12 Nb564d4f6c9f3462dbdf2e2ae3358fa0b
13 Nc019f43dc39f4f36b75abdc53001ff77
14 Nc1b9abb542904babb169539ed51a43f7
15 Ndd57d409f3d64b4db19ec76548c02c52
16 Nebad9962893e4a7a82403da2ba45bf29
17 Nf29bdce32f2d440d99af9e7845929898
18 Nf35a9efbdf3b4830a75b06872720a844
19 anzsrc-for:01
20 anzsrc-for:0104
21 schema:author Nd38a10b161c9464985c4d099630ad18b
22 schema:citation sg:pub.10.1007/978-3-642-59871-5
23 sg:pub.10.1245/s10434-011-1841-x
24 https://app.dimensions.ai/details/publication/pub.1007403503
25 https://doi.org/10.1002/(sici)1097-0258(19960229)15:4<361::aid-sim168>3.0.co;2-4
26 https://doi.org/10.1002/cncr.22313
27 https://doi.org/10.1002/cncr.24135
28 https://doi.org/10.1002/cncr.24760
29 https://doi.org/10.1002/cncr.25122
30 https://doi.org/10.1016/j.eursup.2008.01.011
31 https://doi.org/10.1016/j.eururo.2008.04.082
32 https://doi.org/10.1016/j.eururo.2009.03.072
33 https://doi.org/10.1016/j.eururo.2010.12.042
34 https://doi.org/10.1016/j.juro.2010.03.142
35 https://doi.org/10.1016/s0022-5347(05)66077-6
36 https://doi.org/10.1016/s0090-4295(98)00295-7
37 https://doi.org/10.1053/suro.2002.32490
38 https://doi.org/10.1093/jnci/90.10.766
39 https://doi.org/10.1097/00000478-199812000-00001
40 https://doi.org/10.1097/00005392-200107000-00015
41 https://doi.org/10.1111/j.1464-410x.2009.08473.x
42 https://doi.org/10.1111/j.1464-410x.2011.10288.x
43 https://doi.org/10.1158/1078-0432.ccr-06-0372
44 https://doi.org/10.1158/1078-0432.ccr-08-1888
45 https://doi.org/10.1200/jco.1999.17.1.168
46 https://doi.org/10.1200/jco.2006.06.1218
47 https://doi.org/10.1200/jco.2007.12.4669
48 https://doi.org/10.1200/jco.2007.12.9791
49 https://doi.org/10.3109/00365598709180320
50 schema:datePublished 2012-03
51 schema:datePublishedReg 2012-03-01
52 schema:description BACKGROUND: Owing to the scarcity of upper urinary tract urothelial carcinoma (UUT-UC) it is often necessary for investigators to pool data. A patient-specific survival nomogram based on such data is needed to predict cancer-specific survival (CSS) post nephroureterectomy (NU). Herein, we propose and validate a nomogram to predict CSS post NU. PATIENTS AND METHODS: Twenty-one French institutions contributed data on 1120 patients treated with NU for UUT-UC. A total of 667 had full data for nomogram development. Study population was divided into the nomogram development cohort (397) and external validation cohort (270). Cox proportional hazards regression models were used for univariate and multivariate analyses and to build a nomogram. A reduced model selection was performed using a backward step-down selection process, and Harrell's concordance index (c-index) was used for quantifying the nomogram accuracy. Internal validation was performed by bootstrapping and the reduced nomogram model was calibrated. RESULTS: Of the 397 patients in the nomogram development cohort, 91 (22.9%) died during follow-up, of which 66 (72.5%) died as a consequence of UUT-UC. The actuarial CSS probability at 5 years was 0.76 (95% CI, 71.62-80.94). On multivariate analysis, T stage (P<0.0001), N status (P=0.014), grade (P=0.026), age (P=0.005) and location (P=0.022) were associated with CSS. The reduced nomogram model had an accuracy of 0.78. We propose a nomogram to predict 3 and 5-year CSS post NU for UUT-UC. CONCLUSION: We have devised and validated an accurate nomogram (78%), superior to any single clinical variable or current model, for predicting 5-year CSS post NU for UUT-UC.
53 schema:genre research_article
54 schema:inLanguage en
55 schema:isAccessibleForFree true
56 schema:isPartOf N364aa21acd0f4d3985e80eb41643a05b
57 Nd155a3e280f340619f86693d0c53b709
58 sg:journal.1017082
59 schema:name Cancer-specific survival after radical nephroureterectomy for upper urinary tract urothelial carcinoma: proposal and multi-institutional validation of a post-operative nomogram
60 schema:pagination 1083
61 schema:productId N6f220b6c7c55425a968c89a01118713d
62 N8940d05fca41400aa5a6dc934da11f99
63 Na5de891bb5634449b2f67fca073db1a3
64 Nd6d21b693502460c8704ee2e20f594cc
65 Ndd23d4ef2bf34d14abea087f3ef77f85
66 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048076900
67 https://doi.org/10.1038/bjc.2012.64
68 schema:sdDatePublished 2019-04-10T18:09
69 schema:sdLicense https://scigraph.springernature.com/explorer/license/
70 schema:sdPublisher Nb81c4a0ba2434603a4b75e2616db616b
71 schema:url https://www.nature.com/articles/bjc201264
72 sgo:license sg:explorer/license/
73 sgo:sdDataset articles
74 rdf:type schema:ScholarlyArticle
75 N0191517db1ad49408397613dca97cf59 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Nephrectomy
77 rdf:type schema:DefinedTerm
78 N0badcde512aa47749491762223fb90e9 schema:name Academic Department of Urology, CHRU Lille, University Lille Nord de France, Lille, France
79 rdf:type schema:Organization
80 N1e61315763ab469eba52d13743d52d1d rdf:first sg:person.01243535035.21
81 rdf:rest Ne3ae7aeb0b394addac644a9176dd44a5
82 N283bc47980cd432b8b7b94c7bce8c62a rdf:first sg:person.0740171455.76
83 rdf:rest rdf:nil
84 N2d77e98c117449ee9daa2d4f2247f793 rdf:first sg:person.01272574125.68
85 rdf:rest N651961ff98b4472da08ede1f0e79daa3
86 N2f57ef08943247d4b81435da70a8192f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
87 schema:name Ureter
88 rdf:type schema:DefinedTerm
89 N3131a19e11214809b102544e4cd7e072 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Calibration
91 rdf:type schema:DefinedTerm
92 N364aa21acd0f4d3985e80eb41643a05b schema:issueNumber 6
93 rdf:type schema:PublicationIssue
94 N53c37215f6f24130bf55678aa9e1a0a0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
95 schema:name Kaplan-Meier Estimate
96 rdf:type schema:DefinedTerm
97 N57aafe317beb48c2af1faa9fca2c06cf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Adult
99 rdf:type schema:DefinedTerm
100 N64c996b773a148cdb4b78511adf51793 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Multivariate Analysis
102 rdf:type schema:DefinedTerm
103 N651961ff98b4472da08ede1f0e79daa3 rdf:first sg:person.013241233644.08
104 rdf:rest N283bc47980cd432b8b7b94c7bce8c62a
105 N67bbf959b2ae41c2a7096179778a1f7a schema:name Academic Department of Urology of Tenon Hospital, Assistance Publique-Hôpitaux de Paris, Faculté de Médecine Pierre et Marie Curie, University Paris VI, Paris, France
106 rdf:type schema:Organization
107 N685d40c21ebf4437bdfe839cc0e154cb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Humans
109 rdf:type schema:DefinedTerm
110 N6913ea70f8ac4254afbf55c9fb9cdf40 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Urologic Neoplasms
112 rdf:type schema:DefinedTerm
113 N696e8a6d68024a348d672130683d715b schema:name Academic Department of Urology of la Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, Faculté de Médecine Pierre et Marie Curie, University Paris VI, 47-83 Boulevard de l’Hopital, Paris 75013, France
114 rdf:type schema:Organization
115 N6f220b6c7c55425a968c89a01118713d schema:name readcube_id
116 schema:value e507b1bac97572f94d35cc165f4b7fa71d82f11b985a777c930e8549b68c9161
117 rdf:type schema:PropertyValue
118 N6f2570fc0e7d4551b304925f2a235b60 rdf:first sg:person.01303340602.06
119 rdf:rest Ne9d8f2e7c0424fd8b6aeb1f95b9de7ac
120 N73655ab0b5ee442ea7ef38607da99361 rdf:first sg:person.01363227051.54
121 rdf:rest Na2aa73e2fa04495e9306c0342b84c179
122 N777244cac8a640c6ae462e55159e69c4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Carcinoma
124 rdf:type schema:DefinedTerm
125 N7cecfffcf5d04cbca4cb8e448f7aaee0 schema:name Academic Department of Urology, CHRU Brest, University of Brest, Brest, France
126 rdf:type schema:Organization
127 N88758cfdcccc45089a1dfbcfc3f11639 rdf:first sg:person.01353512175.13
128 rdf:rest N6f2570fc0e7d4551b304925f2a235b60
129 N8940d05fca41400aa5a6dc934da11f99 schema:name doi
130 schema:value 10.1038/bjc.2012.64
131 rdf:type schema:PropertyValue
132 N89d1114d024d4658b3a566a5515aa27c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Prognosis
134 rdf:type schema:DefinedTerm
135 N96662676dc714f5aa20a8d16858819d7 schema:name Academic Department of Urology of la Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, Faculté de Médecine Pierre et Marie Curie, University Paris VI, 47-83 Boulevard de l’Hopital, Paris 75013, France
136 rdf:type schema:Organization
137 N988e1b5759474a8a857c11f1f27e652c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Female
139 rdf:type schema:DefinedTerm
140 Na2aa73e2fa04495e9306c0342b84c179 rdf:first sg:person.01207612523.83
141 rdf:rest Nb82a2a9695804a069dd3260340c42669
142 Na5de891bb5634449b2f67fca073db1a3 schema:name nlm_unique_id
143 schema:value 0370635
144 rdf:type schema:PropertyValue
145 Nb564d4f6c9f3462dbdf2e2ae3358fa0b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Nomograms
147 rdf:type schema:DefinedTerm
148 Nb6b85f11a6f945af929317c4dc9d9bac rdf:first sg:person.01212572710.23
149 rdf:rest N88758cfdcccc45089a1dfbcfc3f11639
150 Nb81c4a0ba2434603a4b75e2616db616b schema:name Springer Nature - SN SciGraph project
151 rdf:type schema:Organization
152 Nb82a2a9695804a069dd3260340c42669 rdf:first sg:person.0734372046.32
153 rdf:rest Ncb05fa9f834146a1ae70508158acadd2
154 Nc00a265858d94b12b68b044a1e0ffafa schema:name Academic Department of Urology, CHRU Lille, University Lille Nord de France, Lille, France
155 rdf:type schema:Organization
156 Nc019f43dc39f4f36b75abdc53001ff77 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
157 schema:name Aged
158 rdf:type schema:DefinedTerm
159 Nc1b9abb542904babb169539ed51a43f7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
160 schema:name Proportional Hazards Models
161 rdf:type schema:DefinedTerm
162 Nca77ce0ea2824a878a247e106c3f0da1 rdf:first sg:person.01007223067.15
163 rdf:rest N2d77e98c117449ee9daa2d4f2247f793
164 Ncb05fa9f834146a1ae70508158acadd2 rdf:first sg:person.0727576223.19
165 rdf:rest Nca77ce0ea2824a878a247e106c3f0da1
166 Nd155a3e280f340619f86693d0c53b709 schema:volumeNumber 106
167 rdf:type schema:PublicationVolume
168 Nd38a10b161c9464985c4d099630ad18b rdf:first sg:person.01076172015.26
169 rdf:rest Nb6b85f11a6f945af929317c4dc9d9bac
170 Nd6d21b693502460c8704ee2e20f594cc schema:name pubmed_id
171 schema:value 22374463
172 rdf:type schema:PropertyValue
173 Ndd23d4ef2bf34d14abea087f3ef77f85 schema:name dimensions_id
174 schema:value pub.1048076900
175 rdf:type schema:PropertyValue
176 Ndd57d409f3d64b4db19ec76548c02c52 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
177 schema:name Neoplasm Grading
178 rdf:type schema:DefinedTerm
179 Ne3ae7aeb0b394addac644a9176dd44a5 rdf:first sg:person.0756472605.99
180 rdf:rest N73655ab0b5ee442ea7ef38607da99361
181 Ne757a4eb4043423b8e0e55acb0b56a4d schema:name Academic Department of Urology, CHRU Toulouse, University of Toulouse, Toulouse, France
182 rdf:type schema:Organization
183 Ne9d8f2e7c0424fd8b6aeb1f95b9de7ac rdf:first sg:person.01066705041.29
184 rdf:rest N1e61315763ab469eba52d13743d52d1d
185 Nebad9962893e4a7a82403da2ba45bf29 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
186 schema:name Male
187 rdf:type schema:DefinedTerm
188 Nf29bdce32f2d440d99af9e7845929898 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
189 schema:name Aged, 80 and over
190 rdf:type schema:DefinedTerm
191 Nf35a9efbdf3b4830a75b06872720a844 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
192 schema:name Middle Aged
193 rdf:type schema:DefinedTerm
194 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
195 schema:name Mathematical Sciences
196 rdf:type schema:DefinedTerm
197 anzsrc-for:0104 schema:inDefinedTermSet anzsrc-for:
198 schema:name Statistics
199 rdf:type schema:DefinedTerm
200 sg:journal.1017082 schema:issn 0007-0920
201 1532-1827
202 schema:name British Journal of Cancer
203 rdf:type schema:Periodical
204 sg:person.01007223067.15 schema:affiliation https://www.grid.ac/institutes/grid.11166.31
205 schema:familyName Bodin
206 schema:givenName T
207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01007223067.15
208 rdf:type schema:Person
209 sg:person.01066705041.29 schema:affiliation https://www.grid.ac/institutes/grid.9966.0
210 schema:familyName Descazeaud
211 schema:givenName A
212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01066705041.29
213 rdf:type schema:Person
214 sg:person.01076172015.26 schema:affiliation N96662676dc714f5aa20a8d16858819d7
215 schema:familyName Yates
216 schema:givenName D R
217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01076172015.26
218 rdf:type schema:Person
219 sg:person.01207612523.83 schema:affiliation https://www.grid.ac/institutes/grid.418120.e
220 schema:familyName Rozet
221 schema:givenName F
222 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01207612523.83
223 rdf:type schema:Person
224 sg:person.01212572710.23 schema:affiliation https://www.grid.ac/institutes/grid.50550.35
225 schema:familyName Hupertan
226 schema:givenName V
227 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01212572710.23
228 rdf:type schema:Person
229 sg:person.01243535035.21 schema:affiliation https://www.grid.ac/institutes/grid.410529.b
230 schema:familyName Long
231 schema:givenName J A
232 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01243535035.21
233 rdf:type schema:Person
234 sg:person.01272574125.68 schema:affiliation N7cecfffcf5d04cbca4cb8e448f7aaee0
235 schema:familyName Valeri
236 schema:givenName A
237 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01272574125.68
238 rdf:type schema:Person
239 sg:person.01303340602.06 schema:affiliation N0badcde512aa47749491762223fb90e9
240 schema:familyName Ouzzane
241 schema:givenName A
242 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01303340602.06
243 rdf:type schema:Person
244 sg:person.013241233644.08 schema:affiliation N67bbf959b2ae41c2a7096179778a1f7a
245 schema:familyName Cussenot
246 schema:givenName O
247 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013241233644.08
248 rdf:type schema:Person
249 sg:person.01353512175.13 schema:affiliation Nc00a265858d94b12b68b044a1e0ffafa
250 schema:familyName Colin
251 schema:givenName P
252 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01353512175.13
253 rdf:type schema:Person
254 sg:person.01363227051.54 schema:affiliation https://www.grid.ac/institutes/grid.412180.e
255 schema:familyName Crouzet
256 schema:givenName S
257 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01363227051.54
258 rdf:type schema:Person
259 sg:person.0727576223.19 schema:affiliation Ne757a4eb4043423b8e0e55acb0b56a4d
260 schema:familyName Soulie
261 schema:givenName M
262 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0727576223.19
263 rdf:type schema:Person
264 sg:person.0734372046.32 schema:affiliation https://www.grid.ac/institutes/grid.414106.6
265 schema:familyName Neuzillet
266 schema:givenName Y
267 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734372046.32
268 rdf:type schema:Person
269 sg:person.0740171455.76 schema:affiliation N696e8a6d68024a348d672130683d715b
270 schema:familyName Rouprêt
271 schema:givenName M
272 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0740171455.76
273 rdf:type schema:Person
274 sg:person.0756472605.99 schema:affiliation https://www.grid.ac/institutes/grid.411784.f
275 schema:familyName Pignot
276 schema:givenName G
277 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0756472605.99
278 rdf:type schema:Person
279 sg:pub.10.1007/978-3-642-59871-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007403503
280 https://doi.org/10.1007/978-3-642-59871-5
281 rdf:type schema:CreativeWork
282 sg:pub.10.1245/s10434-011-1841-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1020498206
283 https://doi.org/10.1245/s10434-011-1841-x
284 rdf:type schema:CreativeWork
285 https://app.dimensions.ai/details/publication/pub.1007403503 schema:CreativeWork
286 https://doi.org/10.1002/(sici)1097-0258(19960229)15:4<361::aid-sim168>3.0.co;2-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037104179
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1002/cncr.22313 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040097492
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1002/cncr.24135 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033669387
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1002/cncr.24760 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033880503
293 rdf:type schema:CreativeWork
294 https://doi.org/10.1002/cncr.25122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008906102
295 rdf:type schema:CreativeWork
296 https://doi.org/10.1016/j.eursup.2008.01.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004154553
297 rdf:type schema:CreativeWork
298 https://doi.org/10.1016/j.eururo.2008.04.082 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045474598
299 rdf:type schema:CreativeWork
300 https://doi.org/10.1016/j.eururo.2009.03.072 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049043784
301 rdf:type schema:CreativeWork
302 https://doi.org/10.1016/j.eururo.2010.12.042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025705384
303 rdf:type schema:CreativeWork
304 https://doi.org/10.1016/j.juro.2010.03.142 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013991089
305 rdf:type schema:CreativeWork
306 https://doi.org/10.1016/s0022-5347(05)66077-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043549974
307 rdf:type schema:CreativeWork
308 https://doi.org/10.1016/s0090-4295(98)00295-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033083090
309 rdf:type schema:CreativeWork
310 https://doi.org/10.1053/suro.2002.32490 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057078825
311 rdf:type schema:CreativeWork
312 https://doi.org/10.1093/jnci/90.10.766 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016489321
313 rdf:type schema:CreativeWork
314 https://doi.org/10.1097/00000478-199812000-00001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060122727
315 rdf:type schema:CreativeWork
316 https://doi.org/10.1097/00005392-200107000-00015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060220574
317 rdf:type schema:CreativeWork
318 https://doi.org/10.1111/j.1464-410x.2009.08473.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1014660266
319 rdf:type schema:CreativeWork
320 https://doi.org/10.1111/j.1464-410x.2011.10288.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1041167597
321 rdf:type schema:CreativeWork
322 https://doi.org/10.1158/1078-0432.ccr-06-0372 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034921671
323 rdf:type schema:CreativeWork
324 https://doi.org/10.1158/1078-0432.ccr-08-1888 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028510961
325 rdf:type schema:CreativeWork
326 https://doi.org/10.1200/jco.1999.17.1.168 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074511223
327 rdf:type schema:CreativeWork
328 https://doi.org/10.1200/jco.2006.06.1218 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025900030
329 rdf:type schema:CreativeWork
330 https://doi.org/10.1200/jco.2007.12.4669 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019571519
331 rdf:type schema:CreativeWork
332 https://doi.org/10.1200/jco.2007.12.9791 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049544341
333 rdf:type schema:CreativeWork
334 https://doi.org/10.3109/00365598709180320 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044230486
335 rdf:type schema:CreativeWork
336 https://www.grid.ac/institutes/grid.11166.31 schema:alternateName University of Poitiers
337 schema:name Academic Department of Urology, CHRU Poitiers, University of Poitiers, Poitiers, France
338 rdf:type schema:Organization
339 https://www.grid.ac/institutes/grid.410529.b schema:alternateName Centre Hospitalier Universitaire de Grenoble
340 schema:name Academic Department of Urology, CHRU Grenoble, University of Grenoble, Grenoble, France
341 rdf:type schema:Organization
342 https://www.grid.ac/institutes/grid.411784.f schema:alternateName Hôpital Cochin
343 schema:name Academic Department of Urology, Cochin Hospital, Paris, France
344 rdf:type schema:Organization
345 https://www.grid.ac/institutes/grid.412180.e schema:alternateName Hôpital Édouard-Herriot
346 schema:name Academic Department of Urology, Edouard Herriot Hospital, Claude Bernard Lyon 1 University, Lyon, France
347 rdf:type schema:Organization
348 https://www.grid.ac/institutes/grid.414106.6 schema:alternateName Hôpital Foch
349 schema:name Department of Urology, Foch Hospital, University of Paris-Ile de France Ouest, Suresnes, France
350 rdf:type schema:Organization
351 https://www.grid.ac/institutes/grid.418120.e schema:alternateName Institute Mutualiste Montsouris
352 schema:name Department of Urology, Institut Mutualiste Montsouris, Paris, France
353 rdf:type schema:Organization
354 https://www.grid.ac/institutes/grid.50550.35 schema:alternateName Assistance Publique -Hopitaux De Paris
355 schema:name Academic Department of Urology and Statistics of Bichat-Claude Bernard Hospital, Assistance Publique-Hôpitaux de Paris, University Paris VII René Diderot, Paris, France
356 rdf:type schema:Organization
357 https://www.grid.ac/institutes/grid.9966.0 schema:alternateName University of Limoges
358 schema:name Academic Department of Urology, CHRU Limoges, University of Limoges, Limoges, France
359 rdf:type schema:Organization
 




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


...