Validation of major prognostic models for metastatic urothelial carcinoma using a multi-institutional cohort of the real world View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-02

AUTHORS

Satoru Taguchi, Tohru Nakagawa, Yukari Uemura, Akihiko Matsumoto, Yasushi Nagase, Taketo Kawai, Yoshinori Tanaka, Kanae Yoshida, Sachi Yamamoto, Yutaka Enomoto, Yorito Nose, Toshikazu Sato, Akira Ishikawa, Tetsuya Fujimura, Hiroshi Fukuhara, Haruki Kume, Yukio Homma

ABSTRACT

BACKGROUND: Several prognostic models predicting survival of patients with metastatic urothelial carcinoma (UC) have been developed; however, of them, the first model by Bajorin in 1999 is still the most representative and widely used, and validations of newer models are lacking. This study aimed to validate three major prognostic models for metastatic UC constructed based on clinical trials. METHODS: We reviewed 200 patients with metastatic UC who received first-line chemotherapy at our five affiliate institutions between 2003 and 2011. Using this multi-institutional cohort, we validated the following models: the "Bajorin model," a model consisting of visceral metastasis and performance status; the "Apolo model," a nomogram including visceral metastasis, performance status, albumin and hemoglobin; and the "Galsky model," a nomogram including leukocyte count, number of sites of visceral metastases, site of primary tumor, performance status and lymph node metastasis. Harrell's c-index was calculated for each model. Cox proportional hazards regression model was used for multivariate analysis. RESULTS: Among 200 patients, 171 (85.5%) died during the follow-up, with a median survival of 12.0 months. Multivariate analysis demonstrated ECOG performance status, visceral metastasis and leukocyte count to be independent predictors of overall survival. C-index results (95% confidence interval) were Bajorin: 0.86 (0.74-0.95); Apolo: 0.89 (0.78-0.98); and Galsky: 0.82 (0.69-0.93). CONCLUSIONS: All models were demonstrated to have high external validities in real-world patients, and of them, the "Apolo model" achieved the highest c-index in the present population. Further studies with larger populations are needed for establishment of the next standard model. More... »

PAGES

163-171

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00345-015-1631-3

DOI

http://dx.doi.org/10.1007/s00345-015-1631-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1020409245

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26135306


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/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "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": "Carcinoma, Transitional Cell", 
        "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": "Incidence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Japan", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Theoretical", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasm Metastasis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Survival Rate", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Urologic Neoplasms", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Tokyo", 
          "id": "https://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Department of Urology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-8655, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Taguchi", 
        "givenName": "Satoru", 
        "id": "sg:person.01062445536.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01062445536.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokyo", 
          "id": "https://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Department of Urology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-8655, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nakagawa", 
        "givenName": "Tohru", 
        "id": "sg:person.01130560736.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01130560736.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokyo Hospital", 
          "id": "https://www.grid.ac/institutes/grid.412708.8", 
          "name": [
            "Central Coordinating Unit, Biostatistics Division, Clinical Research Support Center, The University of Tokyo Hospital, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Uemura", 
        "givenName": "Yukari", 
        "id": "sg:person.01220267676.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220267676.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokyo Metropolitan Tama Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.417089.3", 
          "name": [
            "Department of Urology, Tokyo Metropolitan Tama Medical Center, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Matsumoto", 
        "givenName": "Akihiko", 
        "id": "sg:person.0643051311.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0643051311.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokyo Metropolitan Tama Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.417089.3", 
          "name": [
            "Department of Urology, Tokyo Metropolitan Tama Medical Center, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nagase", 
        "givenName": "Yasushi", 
        "id": "sg:person.01003121703.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01003121703.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Musashino Red Cross Hospital", 
          "id": "https://www.grid.ac/institutes/grid.416332.1", 
          "name": [
            "Department of Urology, Musashino Red Cross Hospital, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kawai", 
        "givenName": "Taketo", 
        "id": "sg:person.01345702636.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01345702636.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Musashino Red Cross Hospital", 
          "id": "https://www.grid.ac/institutes/grid.416332.1", 
          "name": [
            "Department of Urology, Musashino Red Cross Hospital, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tanaka", 
        "givenName": "Yoshinori", 
        "id": "sg:person.011473667444.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011473667444.20"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Mitsui Memorial Hospital", 
          "id": "https://www.grid.ac/institutes/grid.415980.1", 
          "name": [
            "Division of Urology, Mitsui Memorial Hospital, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yoshida", 
        "givenName": "Kanae", 
        "id": "sg:person.01371107350.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371107350.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Mitsui Memorial Hospital", 
          "id": "https://www.grid.ac/institutes/grid.415980.1", 
          "name": [
            "Division of Urology, Mitsui Memorial Hospital, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamamoto", 
        "givenName": "Sachi", 
        "id": "sg:person.01141641511.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01141641511.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Mitsui Memorial Hospital", 
          "id": "https://www.grid.ac/institutes/grid.415980.1", 
          "name": [
            "Division of Urology, Mitsui Memorial Hospital, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Enomoto", 
        "givenName": "Yutaka", 
        "id": "sg:person.01127714413.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01127714413.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokyo Teishin hospital", 
          "id": "https://www.grid.ac/institutes/grid.414994.5", 
          "name": [
            "Department of Urology, Tokyo Teishin Hospital, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nose", 
        "givenName": "Yorito", 
        "id": "sg:person.01256070111.70", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01256070111.70"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokyo Teishin hospital", 
          "id": "https://www.grid.ac/institutes/grid.414994.5", 
          "name": [
            "Department of Urology, Tokyo Teishin Hospital, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sato", 
        "givenName": "Toshikazu", 
        "id": "sg:person.01364232204.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364232204.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokyo Teishin hospital", 
          "id": "https://www.grid.ac/institutes/grid.414994.5", 
          "name": [
            "Department of Urology, Tokyo Teishin Hospital, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ishikawa", 
        "givenName": "Akira", 
        "id": "sg:person.0711673072.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0711673072.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokyo", 
          "id": "https://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Department of Urology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-8655, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fujimura", 
        "givenName": "Tetsuya", 
        "id": "sg:person.01020116246.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01020116246.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokyo", 
          "id": "https://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Department of Urology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-8655, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fukuhara", 
        "givenName": "Hiroshi", 
        "id": "sg:person.01160634030.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01160634030.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokyo", 
          "id": "https://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Department of Urology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-8655, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kume", 
        "givenName": "Haruki", 
        "id": "sg:person.0741253071.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0741253071.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokyo", 
          "id": "https://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Department of Urology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-8655, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Homma", 
        "givenName": "Yukio", 
        "id": "sg:person.0705167135.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0705167135.01"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/1097-0142(19951115)76:10<1797::aid-cncr2820761018>3.0.co;2-w", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004905410"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eururo.2011.07.063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004936682"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.urology.2006.12.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006065910"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.10762", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006295369"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2009.25.4599", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007036818"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.juro.2012.10.065", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007598457"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2217/fon.14.172", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011652087"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-5347(05)66533-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014789086"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1097-0142(19940701)74:1<123::aid-cncr2820740121>3.0.co;2-t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015978768"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000052520", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016570298"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1248/bpb.30.2001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018157420"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jjco/hyu201", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021136625"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.urolonc.2013.07.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023066348"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/bju.12582", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024090976"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2011.37.3571", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026291412"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/bju.12564", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026999965"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jjco/hyi023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027211121"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/sim.1802", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027475560"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eururo.2008.11.039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027965182"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2005.07.757", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028324313"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2005.07.757", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028324313"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1078-1439(01)00143-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028930434"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/djt015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031585565"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0215(19970703)72:1<149::aid-ijc21>3.0.co;2-d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032896567"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2567.2007.02587.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035950510"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2567.2007.02587.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035950510"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0142(19990615)85:12<2526::aid-cncr6>3.0.co;2-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036997300"
        ], 
        "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.28146", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039015743"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jso.23371", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042583243"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eururo.2008.12.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043925145"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/iju.12766", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045591224"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jjco/hyt096", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047219896"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.juro.2013.11.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049211615"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-5347(01)66562-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053497536"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.1999.17.10.3173", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074528556"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.1999.17.8.2546", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074549878"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2000.18.17.3068", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074702294"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.1992.10.7.1066", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077093351"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-02", 
    "datePublishedReg": "2016-02-01", 
    "description": "BACKGROUND: Several prognostic models predicting survival of patients with metastatic urothelial carcinoma (UC) have been developed; however, of them, the first model by Bajorin in 1999 is still the most representative and widely used, and validations of newer models are lacking. This study aimed to validate three major prognostic models for metastatic UC constructed based on clinical trials.\nMETHODS: We reviewed 200 patients with metastatic UC who received first-line chemotherapy at our five affiliate institutions between 2003 and 2011. Using this multi-institutional cohort, we validated the following models: the \"Bajorin model,\" a model consisting of visceral metastasis and performance status; the \"Apolo model,\" a nomogram including visceral metastasis, performance status, albumin and hemoglobin; and the \"Galsky model,\" a nomogram including leukocyte count, number of sites of visceral metastases, site of primary tumor, performance status and lymph node metastasis. Harrell's c-index was calculated for each model. Cox proportional hazards regression model was used for multivariate analysis.\nRESULTS: Among 200 patients, 171 (85.5%) died during the follow-up, with a median survival of 12.0 months. Multivariate analysis demonstrated ECOG performance status, visceral metastasis and leukocyte count to be independent predictors of overall survival. C-index results (95% confidence interval) were Bajorin: 0.86 (0.74-0.95); Apolo: 0.89 (0.78-0.98); and Galsky: 0.82 (0.69-0.93).\nCONCLUSIONS: All models were demonstrated to have high external validities in real-world patients, and of them, the \"Apolo model\" achieved the highest c-index in the present population. Further studies with larger populations are needed for establishment of the next standard model.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00345-015-1631-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1094127", 
        "issn": [
          "0724-4983", 
          "1433-8726"
        ], 
        "name": "World Journal of Urology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "34"
      }
    ], 
    "name": "Validation of major prognostic models for metastatic urothelial carcinoma using a multi-institutional cohort of the real world", 
    "pagination": "163-171", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "613e951054c49968ffbf7ee1f217649644377570c47b768acc3f5a404f06eff9"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26135306"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8307716"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00345-015-1631-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1020409245"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00345-015-1631-3", 
      "https://app.dimensions.ai/details/publication/pub.1020409245"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T19:03", 
    "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_8678_00000487.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s00345-015-1631-3"
  }
]
 

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.10.1007/s00345-015-1631-3'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00345-015-1631-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00345-015-1631-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00345-015-1631-3'


 

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

351 TRIPLES      21 PREDICATES      77 URIs      32 LITERALS      20 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00345-015-1631-3 schema:about N06bad3ac35c143b69d9b188289ac753c
2 N1a1fa069278740e0bb6b7287fae71261
3 N48810c06cf4043899267437c1be4c221
4 N49bcbabbd4b5423f8bdea979cf5be4ce
5 N577338ed5d614371a7af215f87f48372
6 N57be93abf9384a2cacbaaa5d88394a5e
7 N7dd2b4824d8d4f5c92c25c8ae7c3b8b5
8 N896ac34b3dbd42b9af5a9ab194b672cb
9 Nab1377db5ce543e7bc36f0328159bee4
10 Ne93a80a65d11449d89bb4f6525913bcc
11 Nf166eebc29d0403797590a83747d2163
12 anzsrc-for:11
13 anzsrc-for:1103
14 schema:author N4dc291e5f6ab4d65a420353891d99db9
15 schema:citation https://doi.org/10.1002/(sici)1097-0142(19990615)85:12<2526::aid-cncr6>3.0.co;2-3
16 https://doi.org/10.1002/(sici)1097-0215(19970703)72:1<149::aid-ijc21>3.0.co;2-d
17 https://doi.org/10.1002/(sici)1097-0258(19960229)15:4<361::aid-sim168>3.0.co;2-4
18 https://doi.org/10.1002/1097-0142(19940701)74:1<123::aid-cncr2820740121>3.0.co;2-t
19 https://doi.org/10.1002/1097-0142(19951115)76:10<1797::aid-cncr2820761018>3.0.co;2-w
20 https://doi.org/10.1002/cncr.10762
21 https://doi.org/10.1002/cncr.28146
22 https://doi.org/10.1002/jso.23371
23 https://doi.org/10.1002/sim.1802
24 https://doi.org/10.1016/j.eururo.2008.11.039
25 https://doi.org/10.1016/j.eururo.2008.12.011
26 https://doi.org/10.1016/j.eururo.2011.07.063
27 https://doi.org/10.1016/j.juro.2012.10.065
28 https://doi.org/10.1016/j.juro.2013.11.004
29 https://doi.org/10.1016/j.urology.2006.12.010
30 https://doi.org/10.1016/j.urolonc.2013.07.001
31 https://doi.org/10.1016/s0022-5347(01)66562-5
32 https://doi.org/10.1016/s0022-5347(05)66533-0
33 https://doi.org/10.1016/s1078-1439(01)00143-0
34 https://doi.org/10.1093/jjco/hyi023
35 https://doi.org/10.1093/jjco/hyt096
36 https://doi.org/10.1093/jjco/hyu201
37 https://doi.org/10.1093/jnci/djt015
38 https://doi.org/10.1111/bju.12564
39 https://doi.org/10.1111/bju.12582
40 https://doi.org/10.1111/iju.12766
41 https://doi.org/10.1111/j.1365-2567.2007.02587.x
42 https://doi.org/10.1159/000052520
43 https://doi.org/10.1200/jco.1992.10.7.1066
44 https://doi.org/10.1200/jco.1999.17.10.3173
45 https://doi.org/10.1200/jco.1999.17.8.2546
46 https://doi.org/10.1200/jco.2000.18.17.3068
47 https://doi.org/10.1200/jco.2005.07.757
48 https://doi.org/10.1200/jco.2009.25.4599
49 https://doi.org/10.1200/jco.2011.37.3571
50 https://doi.org/10.1248/bpb.30.2001
51 https://doi.org/10.2217/fon.14.172
52 schema:datePublished 2016-02
53 schema:datePublishedReg 2016-02-01
54 schema:description BACKGROUND: Several prognostic models predicting survival of patients with metastatic urothelial carcinoma (UC) have been developed; however, of them, the first model by Bajorin in 1999 is still the most representative and widely used, and validations of newer models are lacking. This study aimed to validate three major prognostic models for metastatic UC constructed based on clinical trials. METHODS: We reviewed 200 patients with metastatic UC who received first-line chemotherapy at our five affiliate institutions between 2003 and 2011. Using this multi-institutional cohort, we validated the following models: the "Bajorin model," a model consisting of visceral metastasis and performance status; the "Apolo model," a nomogram including visceral metastasis, performance status, albumin and hemoglobin; and the "Galsky model," a nomogram including leukocyte count, number of sites of visceral metastases, site of primary tumor, performance status and lymph node metastasis. Harrell's c-index was calculated for each model. Cox proportional hazards regression model was used for multivariate analysis. RESULTS: Among 200 patients, 171 (85.5%) died during the follow-up, with a median survival of 12.0 months. Multivariate analysis demonstrated ECOG performance status, visceral metastasis and leukocyte count to be independent predictors of overall survival. C-index results (95% confidence interval) were Bajorin: 0.86 (0.74-0.95); Apolo: 0.89 (0.78-0.98); and Galsky: 0.82 (0.69-0.93). CONCLUSIONS: All models were demonstrated to have high external validities in real-world patients, and of them, the "Apolo model" achieved the highest c-index in the present population. Further studies with larger populations are needed for establishment of the next standard model.
55 schema:genre research_article
56 schema:inLanguage en
57 schema:isAccessibleForFree false
58 schema:isPartOf N09d284bae4654c3d847ebd355ce31c21
59 Ncee0da3bc322443a9e9e5755df534607
60 sg:journal.1094127
61 schema:name Validation of major prognostic models for metastatic urothelial carcinoma using a multi-institutional cohort of the real world
62 schema:pagination 163-171
63 schema:productId N1e002e2b443741bba94d5fb7697c82ca
64 N553aaea8010848a4bf62a3e96efd13d2
65 N7974518abce54612ae8d29d2d211500a
66 Na7c404905bef47bfa8d3666e51a607aa
67 Nc0fd4d2ca0e944508010a92c304ec1df
68 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020409245
69 https://doi.org/10.1007/s00345-015-1631-3
70 schema:sdDatePublished 2019-04-10T19:03
71 schema:sdLicense https://scigraph.springernature.com/explorer/license/
72 schema:sdPublisher Nf99614e16b05445db6b387211914dc41
73 schema:url http://link.springer.com/10.1007/s00345-015-1631-3
74 sgo:license sg:explorer/license/
75 sgo:sdDataset articles
76 rdf:type schema:ScholarlyArticle
77 N0135908e6d454b0b8d0360306732be04 rdf:first sg:person.01371107350.21
78 rdf:rest Nbb030f7d0daf4df8aa33885df248d770
79 N06bad3ac35c143b69d9b188289ac753c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
80 schema:name Survival Rate
81 rdf:type schema:DefinedTerm
82 N09d284bae4654c3d847ebd355ce31c21 schema:issueNumber 2
83 rdf:type schema:PublicationIssue
84 N0f6ed4071c6147fd95f3c17aa626151f rdf:first sg:person.0705167135.01
85 rdf:rest rdf:nil
86 N13f7c946a10a4270a20b0636c523c79a rdf:first sg:person.01160634030.24
87 rdf:rest Nc2cf4b50b64c4abbbbe353faf50d34bf
88 N149bf727768141748e05f3da681f4701 rdf:first sg:person.01220267676.21
89 rdf:rest N82a96ae20dd143ee9fdda96ed66315d9
90 N1a1fa069278740e0bb6b7287fae71261 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
91 schema:name Neoplasm Metastasis
92 rdf:type schema:DefinedTerm
93 N1e002e2b443741bba94d5fb7697c82ca schema:name readcube_id
94 schema:value 613e951054c49968ffbf7ee1f217649644377570c47b768acc3f5a404f06eff9
95 rdf:type schema:PropertyValue
96 N1f43afc8c06f453e85adc2baa106e06b rdf:first sg:person.01020116246.32
97 rdf:rest N13f7c946a10a4270a20b0636c523c79a
98 N23228ba467e84f55b27b8db0538d8808 rdf:first sg:person.01130560736.65
99 rdf:rest N149bf727768141748e05f3da681f4701
100 N376c1f51b8e74c7b86dc87284eb859e7 rdf:first sg:person.011473667444.20
101 rdf:rest N0135908e6d454b0b8d0360306732be04
102 N48810c06cf4043899267437c1be4c221 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Incidence
104 rdf:type schema:DefinedTerm
105 N49bcbabbd4b5423f8bdea979cf5be4ce schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Urologic Neoplasms
107 rdf:type schema:DefinedTerm
108 N4dc291e5f6ab4d65a420353891d99db9 rdf:first sg:person.01062445536.48
109 rdf:rest N23228ba467e84f55b27b8db0538d8808
110 N553aaea8010848a4bf62a3e96efd13d2 schema:name doi
111 schema:value 10.1007/s00345-015-1631-3
112 rdf:type schema:PropertyValue
113 N577338ed5d614371a7af215f87f48372 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Male
115 rdf:type schema:DefinedTerm
116 N57be93abf9384a2cacbaaa5d88394a5e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Models, Theoretical
118 rdf:type schema:DefinedTerm
119 N58435175f6804584baeecf0982b05be8 rdf:first sg:person.01003121703.40
120 rdf:rest Na8cd178e3ddc420c83a664b02ac1ca5b
121 N7974518abce54612ae8d29d2d211500a schema:name nlm_unique_id
122 schema:value 8307716
123 rdf:type schema:PropertyValue
124 N7c882c654c8a4b07809617e42c76d89a rdf:first sg:person.0711673072.30
125 rdf:rest N1f43afc8c06f453e85adc2baa106e06b
126 N7dd2b4824d8d4f5c92c25c8ae7c3b8b5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Humans
128 rdf:type schema:DefinedTerm
129 N82a96ae20dd143ee9fdda96ed66315d9 rdf:first sg:person.0643051311.33
130 rdf:rest N58435175f6804584baeecf0982b05be8
131 N83b00d56193d47488aff90a44165d595 rdf:first sg:person.01364232204.30
132 rdf:rest N7c882c654c8a4b07809617e42c76d89a
133 N896ac34b3dbd42b9af5a9ab194b672cb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Carcinoma, Transitional Cell
135 rdf:type schema:DefinedTerm
136 Na7c404905bef47bfa8d3666e51a607aa schema:name dimensions_id
137 schema:value pub.1020409245
138 rdf:type schema:PropertyValue
139 Na8cd178e3ddc420c83a664b02ac1ca5b rdf:first sg:person.01345702636.23
140 rdf:rest N376c1f51b8e74c7b86dc87284eb859e7
141 Nab1377db5ce543e7bc36f0328159bee4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Female
143 rdf:type schema:DefinedTerm
144 Nbb030f7d0daf4df8aa33885df248d770 rdf:first sg:person.01141641511.04
145 rdf:rest Ne2d73608e66643d6ba0db61878e3ea6b
146 Nc0fd4d2ca0e944508010a92c304ec1df schema:name pubmed_id
147 schema:value 26135306
148 rdf:type schema:PropertyValue
149 Nc2cf4b50b64c4abbbbe353faf50d34bf rdf:first sg:person.0741253071.83
150 rdf:rest N0f6ed4071c6147fd95f3c17aa626151f
151 Ncd8561474ce448cdb8e844359cf3a025 rdf:first sg:person.01256070111.70
152 rdf:rest N83b00d56193d47488aff90a44165d595
153 Ncee0da3bc322443a9e9e5755df534607 schema:volumeNumber 34
154 rdf:type schema:PublicationVolume
155 Ne2d73608e66643d6ba0db61878e3ea6b rdf:first sg:person.01127714413.34
156 rdf:rest Ncd8561474ce448cdb8e844359cf3a025
157 Ne93a80a65d11449d89bb4f6525913bcc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Prognosis
159 rdf:type schema:DefinedTerm
160 Nf166eebc29d0403797590a83747d2163 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Japan
162 rdf:type schema:DefinedTerm
163 Nf99614e16b05445db6b387211914dc41 schema:name Springer Nature - SN SciGraph project
164 rdf:type schema:Organization
165 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
166 schema:name Medical and Health Sciences
167 rdf:type schema:DefinedTerm
168 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
169 schema:name Clinical Sciences
170 rdf:type schema:DefinedTerm
171 sg:journal.1094127 schema:issn 0724-4983
172 1433-8726
173 schema:name World Journal of Urology
174 rdf:type schema:Periodical
175 sg:person.01003121703.40 schema:affiliation https://www.grid.ac/institutes/grid.417089.3
176 schema:familyName Nagase
177 schema:givenName Yasushi
178 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01003121703.40
179 rdf:type schema:Person
180 sg:person.01020116246.32 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
181 schema:familyName Fujimura
182 schema:givenName Tetsuya
183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01020116246.32
184 rdf:type schema:Person
185 sg:person.01062445536.48 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
186 schema:familyName Taguchi
187 schema:givenName Satoru
188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01062445536.48
189 rdf:type schema:Person
190 sg:person.01127714413.34 schema:affiliation https://www.grid.ac/institutes/grid.415980.1
191 schema:familyName Enomoto
192 schema:givenName Yutaka
193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01127714413.34
194 rdf:type schema:Person
195 sg:person.01130560736.65 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
196 schema:familyName Nakagawa
197 schema:givenName Tohru
198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01130560736.65
199 rdf:type schema:Person
200 sg:person.01141641511.04 schema:affiliation https://www.grid.ac/institutes/grid.415980.1
201 schema:familyName Yamamoto
202 schema:givenName Sachi
203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01141641511.04
204 rdf:type schema:Person
205 sg:person.011473667444.20 schema:affiliation https://www.grid.ac/institutes/grid.416332.1
206 schema:familyName Tanaka
207 schema:givenName Yoshinori
208 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011473667444.20
209 rdf:type schema:Person
210 sg:person.01160634030.24 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
211 schema:familyName Fukuhara
212 schema:givenName Hiroshi
213 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01160634030.24
214 rdf:type schema:Person
215 sg:person.01220267676.21 schema:affiliation https://www.grid.ac/institutes/grid.412708.8
216 schema:familyName Uemura
217 schema:givenName Yukari
218 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220267676.21
219 rdf:type schema:Person
220 sg:person.01256070111.70 schema:affiliation https://www.grid.ac/institutes/grid.414994.5
221 schema:familyName Nose
222 schema:givenName Yorito
223 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01256070111.70
224 rdf:type schema:Person
225 sg:person.01345702636.23 schema:affiliation https://www.grid.ac/institutes/grid.416332.1
226 schema:familyName Kawai
227 schema:givenName Taketo
228 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01345702636.23
229 rdf:type schema:Person
230 sg:person.01364232204.30 schema:affiliation https://www.grid.ac/institutes/grid.414994.5
231 schema:familyName Sato
232 schema:givenName Toshikazu
233 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364232204.30
234 rdf:type schema:Person
235 sg:person.01371107350.21 schema:affiliation https://www.grid.ac/institutes/grid.415980.1
236 schema:familyName Yoshida
237 schema:givenName Kanae
238 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371107350.21
239 rdf:type schema:Person
240 sg:person.0643051311.33 schema:affiliation https://www.grid.ac/institutes/grid.417089.3
241 schema:familyName Matsumoto
242 schema:givenName Akihiko
243 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0643051311.33
244 rdf:type schema:Person
245 sg:person.0705167135.01 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
246 schema:familyName Homma
247 schema:givenName Yukio
248 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0705167135.01
249 rdf:type schema:Person
250 sg:person.0711673072.30 schema:affiliation https://www.grid.ac/institutes/grid.414994.5
251 schema:familyName Ishikawa
252 schema:givenName Akira
253 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0711673072.30
254 rdf:type schema:Person
255 sg:person.0741253071.83 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
256 schema:familyName Kume
257 schema:givenName Haruki
258 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0741253071.83
259 rdf:type schema:Person
260 https://doi.org/10.1002/(sici)1097-0142(19990615)85:12<2526::aid-cncr6>3.0.co;2-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036997300
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1002/(sici)1097-0215(19970703)72:1<149::aid-ijc21>3.0.co;2-d schema:sameAs https://app.dimensions.ai/details/publication/pub.1032896567
263 rdf:type schema:CreativeWork
264 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
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1002/1097-0142(19940701)74:1<123::aid-cncr2820740121>3.0.co;2-t schema:sameAs https://app.dimensions.ai/details/publication/pub.1015978768
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1002/1097-0142(19951115)76:10<1797::aid-cncr2820761018>3.0.co;2-w schema:sameAs https://app.dimensions.ai/details/publication/pub.1004905410
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1002/cncr.10762 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006295369
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1002/cncr.28146 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039015743
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1002/jso.23371 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042583243
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1002/sim.1802 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027475560
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1016/j.eururo.2008.11.039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027965182
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1016/j.eururo.2008.12.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043925145
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1016/j.eururo.2011.07.063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004936682
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1016/j.juro.2012.10.065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007598457
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1016/j.juro.2013.11.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049211615
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1016/j.urology.2006.12.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006065910
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1016/j.urolonc.2013.07.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023066348
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1016/s0022-5347(01)66562-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053497536
293 rdf:type schema:CreativeWork
294 https://doi.org/10.1016/s0022-5347(05)66533-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014789086
295 rdf:type schema:CreativeWork
296 https://doi.org/10.1016/s1078-1439(01)00143-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028930434
297 rdf:type schema:CreativeWork
298 https://doi.org/10.1093/jjco/hyi023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027211121
299 rdf:type schema:CreativeWork
300 https://doi.org/10.1093/jjco/hyt096 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047219896
301 rdf:type schema:CreativeWork
302 https://doi.org/10.1093/jjco/hyu201 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021136625
303 rdf:type schema:CreativeWork
304 https://doi.org/10.1093/jnci/djt015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031585565
305 rdf:type schema:CreativeWork
306 https://doi.org/10.1111/bju.12564 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026999965
307 rdf:type schema:CreativeWork
308 https://doi.org/10.1111/bju.12582 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024090976
309 rdf:type schema:CreativeWork
310 https://doi.org/10.1111/iju.12766 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045591224
311 rdf:type schema:CreativeWork
312 https://doi.org/10.1111/j.1365-2567.2007.02587.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1035950510
313 rdf:type schema:CreativeWork
314 https://doi.org/10.1159/000052520 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016570298
315 rdf:type schema:CreativeWork
316 https://doi.org/10.1200/jco.1992.10.7.1066 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077093351
317 rdf:type schema:CreativeWork
318 https://doi.org/10.1200/jco.1999.17.10.3173 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074528556
319 rdf:type schema:CreativeWork
320 https://doi.org/10.1200/jco.1999.17.8.2546 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074549878
321 rdf:type schema:CreativeWork
322 https://doi.org/10.1200/jco.2000.18.17.3068 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074702294
323 rdf:type schema:CreativeWork
324 https://doi.org/10.1200/jco.2005.07.757 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028324313
325 rdf:type schema:CreativeWork
326 https://doi.org/10.1200/jco.2009.25.4599 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007036818
327 rdf:type schema:CreativeWork
328 https://doi.org/10.1200/jco.2011.37.3571 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026291412
329 rdf:type schema:CreativeWork
330 https://doi.org/10.1248/bpb.30.2001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018157420
331 rdf:type schema:CreativeWork
332 https://doi.org/10.2217/fon.14.172 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011652087
333 rdf:type schema:CreativeWork
334 https://www.grid.ac/institutes/grid.26999.3d schema:alternateName University of Tokyo
335 schema:name Department of Urology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-8655, Tokyo, Japan
336 rdf:type schema:Organization
337 https://www.grid.ac/institutes/grid.412708.8 schema:alternateName University of Tokyo Hospital
338 schema:name Central Coordinating Unit, Biostatistics Division, Clinical Research Support Center, The University of Tokyo Hospital, Tokyo, Japan
339 rdf:type schema:Organization
340 https://www.grid.ac/institutes/grid.414994.5 schema:alternateName Tokyo Teishin hospital
341 schema:name Department of Urology, Tokyo Teishin Hospital, Tokyo, Japan
342 rdf:type schema:Organization
343 https://www.grid.ac/institutes/grid.415980.1 schema:alternateName Mitsui Memorial Hospital
344 schema:name Division of Urology, Mitsui Memorial Hospital, Tokyo, Japan
345 rdf:type schema:Organization
346 https://www.grid.ac/institutes/grid.416332.1 schema:alternateName Musashino Red Cross Hospital
347 schema:name Department of Urology, Musashino Red Cross Hospital, Tokyo, Japan
348 rdf:type schema:Organization
349 https://www.grid.ac/institutes/grid.417089.3 schema:alternateName Tokyo Metropolitan Tama Medical Center
350 schema:name Department of Urology, Tokyo Metropolitan Tama Medical Center, Tokyo, Japan
351 rdf:type schema:Organization
 




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


...