Low radiographic muscle density is associated with lower overall and disease-free survival in early-stage colorectal cancer patients View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-11

AUTHORS

Harm van Baar, S. Beijer, M. J. L. Bours, M. P. Weijenberg, M. van Zutphen, F. J. B. van Duijnhoven, G. D. Slooter, J. F. M. Pruijt, J. J. Dronkers, A. Haringhuizen, E. J. Spillenaar Bilgen, B. M. E. Hansson, J. H. W. de Wilt, E. Kampman, R. M. Winkels

ABSTRACT

BACKGROUND: In cancer patients with a poor prognosis, low skeletal muscle radiographic density is associated with higher mortality. Whether this association also holds for early-stage cancer is not very clear. We aimed to study the association between skeletal muscle density and overall mortality among early-stage (stage I-III) colorectal cancer (CRC) patients. Furthermore, we investigated the association between skeletal muscle density and both CRC-specific mortality and disease-free survival in a subset of the study population. METHODS: Skeletal muscle density was assessed in 1681 early-stage CRC patients, diagnosed between 2006 and 2015, using pre-operative computed tomography images. Adjusted Cox proportional hazard models were used to evaluate the association between muscle density and overall mortality, CRC-specific mortality and disease-free survival. RESULTS: The median follow-up time was 48 months (range 0-119 months). Low muscle density was detected in 39% of CRC patients. Low muscle density was significantly associated with higher mortality (low vs. normal: adjusted HR 1.91, 95% CI 1.53-2.38). After stratification for comorbidities, the association was highest in patients with ≥ 2 comorbidities (HR 2.11, 95% CI 1.55-2.87). Furthermore, low skeletal muscle density was significantly associated with poorer disease-free survival (HR 1.68, 95% CI 1.14-2.47), but not with CRC-specific mortality (HR 1.68, 95% CI 0.89-3.17) in a subset of the study population. CONCLUSION: In early-stage CRC patients, low muscle density was significantly associated with higher overall mortality, and worse disease-free survival. More... »

PAGES

2139-2147

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00432-018-2736-z

DOI

http://dx.doi.org/10.1007/s00432-018-2736-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1106156535

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30120542


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

JSON-LD is the canonical representation for SciGraph data.

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

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1112", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oncology and Carcinogenesis", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "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": "Colonic Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Colorectal Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Disease-Free Survival", 
        "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": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Muscle, Skeletal", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasm Staging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Proportional Hazards Models", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Survival Rate", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, X-Ray Computed", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Wageningen University & Research", 
          "id": "https://www.grid.ac/institutes/grid.4818.5", 
          "name": [
            "Division of Human Nutrition, Wageningen University and Research, PO Box 17, 6700 AA, Wageningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "van Baar", 
        "givenName": "Harm", 
        "id": "sg:person.012647236337.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012647236337.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Netherlands Comprehensive Cancer Organisation", 
          "id": "https://www.grid.ac/institutes/grid.470266.1", 
          "name": [
            "Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Beijer", 
        "givenName": "S.", 
        "id": "sg:person.01014006164.62", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01014006164.62"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Maastricht University", 
          "id": "https://www.grid.ac/institutes/grid.5012.6", 
          "name": [
            "Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bours", 
        "givenName": "M. J. L.", 
        "id": "sg:person.016363617764.77", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016363617764.77"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Maastricht University", 
          "id": "https://www.grid.ac/institutes/grid.5012.6", 
          "name": [
            "Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Weijenberg", 
        "givenName": "M. P.", 
        "id": "sg:person.01153153254.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01153153254.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wageningen University & Research", 
          "id": "https://www.grid.ac/institutes/grid.4818.5", 
          "name": [
            "Division of Human Nutrition, Wageningen University and Research, PO Box 17, 6700 AA, Wageningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "van Zutphen", 
        "givenName": "M.", 
        "id": "sg:person.01232750565.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01232750565.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wageningen University & Research", 
          "id": "https://www.grid.ac/institutes/grid.4818.5", 
          "name": [
            "Division of Human Nutrition, Wageningen University and Research, PO Box 17, 6700 AA, Wageningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "van Duijnhoven", 
        "givenName": "F. J. B.", 
        "id": "sg:person.01124244144.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01124244144.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "M\u00e1xima Medisch Centrum", 
          "id": "https://www.grid.ac/institutes/grid.414711.6", 
          "name": [
            "Department of Surgery, Maxima Medical Centre, Veldhoven, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Slooter", 
        "givenName": "G. D.", 
        "id": "sg:person.01326153142.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01326153142.59"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jeroen Bosch Ziekenhuis", 
          "id": "https://www.grid.ac/institutes/grid.413508.b", 
          "name": [
            "Department of Medical Oncology, Jeroen Bosch Hospital, \u2018s Hertogenbosch, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pruijt", 
        "givenName": "J. F. M.", 
        "id": "sg:person.015760141644.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015760141644.80"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ziekenhuis Gelderse Vallei", 
          "id": "https://www.grid.ac/institutes/grid.415351.7", 
          "name": [
            "Department of Physiotherapy, Gelderse Vallei Hospital, Ede, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dronkers", 
        "givenName": "J. J.", 
        "id": "sg:person.010641610614.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010641610614.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ziekenhuis Gelderse Vallei", 
          "id": "https://www.grid.ac/institutes/grid.415351.7", 
          "name": [
            "Department of Medical Oncology, Gelderse Vallei Hospital, Ede, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Haringhuizen", 
        "givenName": "A.", 
        "id": "sg:person.01114011341.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114011341.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Rijnstate Hospital", 
          "id": "https://www.grid.ac/institutes/grid.415930.a", 
          "name": [
            "Department of Surgery, Rijnstate Hospital, Arnhem, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Spillenaar Bilgen", 
        "givenName": "E. J.", 
        "id": "sg:person.0717210535.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0717210535.99"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Canisius-Wilhelmina Ziekenhuis", 
          "id": "https://www.grid.ac/institutes/grid.413327.0", 
          "name": [
            "Department of Surgery, Canisius Wilhelmina Hospital, Nijmegen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hansson", 
        "givenName": "B. M. E.", 
        "id": "sg:person.015741112722.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015741112722.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Radboud University Nijmegen Medical Centre", 
          "id": "https://www.grid.ac/institutes/grid.10417.33", 
          "name": [
            "Department of Surgery, Radboud Universitair Medisch Centrum, Nijmegen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "de Wilt", 
        "givenName": "J. H. W.", 
        "id": "sg:person.014765261317.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014765261317.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wageningen University & Research", 
          "id": "https://www.grid.ac/institutes/grid.4818.5", 
          "name": [
            "Division of Human Nutrition, Wageningen University and Research, PO Box 17, 6700 AA, Wageningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kampman", 
        "givenName": "E.", 
        "id": "sg:person.01134646422.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01134646422.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Penn State Milton S. Hershey Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.240473.6", 
          "name": [
            "Division of Human Nutrition, Wageningen University and Research, PO Box 17, 6700 AA, Wageningen, The Netherlands", 
            "Department of Public Health Sciences, Penn State College of Medicine, Penn State University, Hershey, PA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Winkels", 
        "givenName": "R. M.", 
        "id": "sg:person.01145734073.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01145734073.91"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1200/jco.2012.45.2722", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005766659"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1055-9965.epi-13-1144", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024764314"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhep.2015.02.031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025757295"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2015.63.6043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026101710"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.28218", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026148396"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1470-2045(08)70153-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030488821"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2016.68.9364", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030805295"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/japplphysiol.00053.2005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036560223"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2016.68.8010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042533847"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000182084", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042782831"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2407-14-374", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046693194", 
          "https://doi.org/10.1186/1471-2407-14-374"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/gerona/gls168", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048604482"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jcsm.12155", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050657672"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.clnu.2016.03.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051319782"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.breast.2016.10.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051717521"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jc.85.7.2463", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064301465"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/jappl.2000.89.1.104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074670948"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/jappl.2001.90.6.2157", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074815191"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/jappl.1998.85.1.115", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083287696"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3322/caac.21395", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084430952"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.clnu.2017.05.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085449610"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1055-9965.epi-17-0200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085467911"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/bjc.2017.149", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085882622", 
          "https://doi.org/10.1038/bjc.2017.149"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jcsm.12301", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103477405"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.31405", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104159938"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejso.2018.05.029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104427731"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-11", 
    "datePublishedReg": "2018-11-01", 
    "description": "BACKGROUND: In cancer patients with a poor prognosis, low skeletal muscle radiographic density is associated with higher mortality. Whether this association also holds for early-stage cancer is not very clear. We aimed to study the association between skeletal muscle density and overall mortality among early-stage (stage I-III) colorectal cancer (CRC) patients. Furthermore, we investigated the association between skeletal muscle density and both CRC-specific mortality and disease-free survival in a subset of the study population.\nMETHODS: Skeletal muscle density was assessed in 1681 early-stage CRC patients, diagnosed between 2006 and 2015, using pre-operative computed tomography images. Adjusted Cox proportional hazard models were used to evaluate the association between muscle density and overall mortality, CRC-specific mortality and disease-free survival.\nRESULTS: The median follow-up time was 48 months (range 0-119\u00a0months). Low muscle density was detected in 39% of CRC patients. Low muscle density was significantly associated with higher mortality (low vs. normal: adjusted HR 1.91, 95% CI 1.53-2.38). After stratification for comorbidities, the association was highest in patients with \u2265\u20092 comorbidities (HR 2.11, 95% CI 1.55-2.87). Furthermore, low skeletal muscle density was significantly associated with poorer disease-free survival (HR 1.68, 95% CI 1.14-2.47), but not with CRC-specific mortality (HR 1.68, 95% CI 0.89-3.17) in a subset of the study population.\nCONCLUSION: In early-stage CRC patients, low muscle density was significantly associated with higher overall mortality, and worse disease-free survival.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00432-018-2736-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1313647", 
        "issn": [
          "0171-5216", 
          "1432-1335"
        ], 
        "name": "Journal of Cancer Research and Clinical Oncology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "11", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "144"
      }
    ], 
    "name": "Low radiographic muscle density is associated with lower overall and disease-free survival in early-stage colorectal cancer patients", 
    "pagination": "2139-2147", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "af7b928504a9564c8aace21d4660cc0219b592e72b351ff7e006c232f7295a57"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30120542"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "7902060"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00432-018-2736-z"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1106156535"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00432-018-2736-z", 
      "https://app.dimensions.ai/details/publication/pub.1106156535"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T18:29", 
    "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_00000578.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00432-018-2736-z"
  }
]
 

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/s00432-018-2736-z'

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/s00432-018-2736-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00432-018-2736-z'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00432-018-2736-z'


 

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

340 TRIPLES      21 PREDICATES      71 URIs      37 LITERALS      25 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00432-018-2736-z schema:about N0464b3d80e7e484281452ff395eeebb5
2 N04b737675c4d432b8a5ec6cd4327fd41
3 N1ec53ea8dc84443cb425ca37afde0864
4 N42505824387d418089243f9cb7efbd44
5 N692380fffe1442afb610c989b1fc1986
6 N6ce95ed164354a8582ca020c4f6f8b64
7 N756fb60793d242769c5b8db638d1130d
8 N7d4d1c2e3c774aa89b114ce93d634ce8
9 N87cb1f07b7b446e49c395ad44966cce8
10 Na679ba138664447a958f86c93c184e2c
11 Nb4c669bb05674be194b31c2aeaba3f71
12 Nb56e336226e24f239e7149bd8af43021
13 Nbc6dbc51bc344a0b93115c74d1b4a5b0
14 Nc7ca6dc794e44c60829025bb5f94522e
15 Nca0047d11ed64a64945e01519fdb2db0
16 Nd38ea2a5a6a8474583deba21b49a41d2
17 anzsrc-for:11
18 anzsrc-for:1112
19 schema:author N2a095e108c344f78af2f7bdb63b1aed7
20 schema:citation sg:pub.10.1038/bjc.2017.149
21 sg:pub.10.1186/1471-2407-14-374
22 https://doi.org/10.1002/cncr.28218
23 https://doi.org/10.1002/cncr.31405
24 https://doi.org/10.1002/jcsm.12155
25 https://doi.org/10.1002/jcsm.12301
26 https://doi.org/10.1016/j.breast.2016.10.014
27 https://doi.org/10.1016/j.clnu.2016.03.010
28 https://doi.org/10.1016/j.clnu.2017.05.017
29 https://doi.org/10.1016/j.ejso.2018.05.029
30 https://doi.org/10.1016/j.jhep.2015.02.031
31 https://doi.org/10.1016/s1470-2045(08)70153-0
32 https://doi.org/10.1093/gerona/gls168
33 https://doi.org/10.1152/jappl.1998.85.1.115
34 https://doi.org/10.1152/jappl.2000.89.1.104
35 https://doi.org/10.1152/jappl.2001.90.6.2157
36 https://doi.org/10.1152/japplphysiol.00053.2005
37 https://doi.org/10.1158/1055-9965.epi-13-1144
38 https://doi.org/10.1158/1055-9965.epi-17-0200
39 https://doi.org/10.1159/000182084
40 https://doi.org/10.1200/jco.2012.45.2722
41 https://doi.org/10.1200/jco.2015.63.6043
42 https://doi.org/10.1200/jco.2016.68.8010
43 https://doi.org/10.1200/jco.2016.68.9364
44 https://doi.org/10.1210/jc.85.7.2463
45 https://doi.org/10.3322/caac.21395
46 schema:datePublished 2018-11
47 schema:datePublishedReg 2018-11-01
48 schema:description BACKGROUND: In cancer patients with a poor prognosis, low skeletal muscle radiographic density is associated with higher mortality. Whether this association also holds for early-stage cancer is not very clear. We aimed to study the association between skeletal muscle density and overall mortality among early-stage (stage I-III) colorectal cancer (CRC) patients. Furthermore, we investigated the association between skeletal muscle density and both CRC-specific mortality and disease-free survival in a subset of the study population. METHODS: Skeletal muscle density was assessed in 1681 early-stage CRC patients, diagnosed between 2006 and 2015, using pre-operative computed tomography images. Adjusted Cox proportional hazard models were used to evaluate the association between muscle density and overall mortality, CRC-specific mortality and disease-free survival. RESULTS: The median follow-up time was 48 months (range 0-119 months). Low muscle density was detected in 39% of CRC patients. Low muscle density was significantly associated with higher mortality (low vs. normal: adjusted HR 1.91, 95% CI 1.53-2.38). After stratification for comorbidities, the association was highest in patients with ≥ 2 comorbidities (HR 2.11, 95% CI 1.55-2.87). Furthermore, low skeletal muscle density was significantly associated with poorer disease-free survival (HR 1.68, 95% CI 1.14-2.47), but not with CRC-specific mortality (HR 1.68, 95% CI 0.89-3.17) in a subset of the study population. CONCLUSION: In early-stage CRC patients, low muscle density was significantly associated with higher overall mortality, and worse disease-free survival.
49 schema:genre research_article
50 schema:inLanguage en
51 schema:isAccessibleForFree true
52 schema:isPartOf Nb06df7d4fe08492a850a2764fc678106
53 Nb56e013ab3a144ee9827da71f8571369
54 sg:journal.1313647
55 schema:name Low radiographic muscle density is associated with lower overall and disease-free survival in early-stage colorectal cancer patients
56 schema:pagination 2139-2147
57 schema:productId N5e98e9c5c791492ba556f477605bfb5d
58 N635b3aecfc0c4b26a477907b365353e6
59 N722714f575ad4f3dbb248d338df45ccf
60 Nadce2525472b452ab08a7127f66469a3
61 Ncda3f1503bb1405c9fe767411159fd02
62 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106156535
63 https://doi.org/10.1007/s00432-018-2736-z
64 schema:sdDatePublished 2019-04-10T18:29
65 schema:sdLicense https://scigraph.springernature.com/explorer/license/
66 schema:sdPublisher N1af5ca8bb5b445d8a688bbc065bed117
67 schema:url https://link.springer.com/10.1007%2Fs00432-018-2736-z
68 sgo:license sg:explorer/license/
69 sgo:sdDataset articles
70 rdf:type schema:ScholarlyArticle
71 N0464b3d80e7e484281452ff395eeebb5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
72 schema:name Muscle, Skeletal
73 rdf:type schema:DefinedTerm
74 N04b737675c4d432b8a5ec6cd4327fd41 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
75 schema:name Male
76 rdf:type schema:DefinedTerm
77 N1328e6f871cd471282ddb01236b08da9 rdf:first sg:person.01145734073.91
78 rdf:rest rdf:nil
79 N1af5ca8bb5b445d8a688bbc065bed117 schema:name Springer Nature - SN SciGraph project
80 rdf:type schema:Organization
81 N1ec53ea8dc84443cb425ca37afde0864 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Prospective Studies
83 rdf:type schema:DefinedTerm
84 N22ded07aa4684ca399bb8016467c6727 rdf:first sg:person.01134646422.50
85 rdf:rest N1328e6f871cd471282ddb01236b08da9
86 N2a095e108c344f78af2f7bdb63b1aed7 rdf:first sg:person.012647236337.54
87 rdf:rest Nf9e26ae3e30b4d1d94683c8905ea0700
88 N336b0b2fb60b429e8a10d7a92bf541f0 rdf:first sg:person.014765261317.53
89 rdf:rest N22ded07aa4684ca399bb8016467c6727
90 N375a61dfabb14786b6b9e5ec94d13e71 rdf:first sg:person.016363617764.77
91 rdf:rest Nc3add027702f435584e59eccb85464fa
92 N42505824387d418089243f9cb7efbd44 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Survival Rate
94 rdf:type schema:DefinedTerm
95 N5e98e9c5c791492ba556f477605bfb5d schema:name pubmed_id
96 schema:value 30120542
97 rdf:type schema:PropertyValue
98 N6014fa4add054f8a8c0310105e0911dd rdf:first sg:person.015760141644.80
99 rdf:rest N9d2f1b3669cd44b5a6be41638b16470f
100 N635b3aecfc0c4b26a477907b365353e6 schema:name readcube_id
101 schema:value af7b928504a9564c8aace21d4660cc0219b592e72b351ff7e006c232f7295a57
102 rdf:type schema:PropertyValue
103 N692380fffe1442afb610c989b1fc1986 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Prognosis
105 rdf:type schema:DefinedTerm
106 N6ce95ed164354a8582ca020c4f6f8b64 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Humans
108 rdf:type schema:DefinedTerm
109 N722714f575ad4f3dbb248d338df45ccf schema:name nlm_unique_id
110 schema:value 7902060
111 rdf:type schema:PropertyValue
112 N756fb60793d242769c5b8db638d1130d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Proportional Hazards Models
114 rdf:type schema:DefinedTerm
115 N7d4d1c2e3c774aa89b114ce93d634ce8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Neoplasm Staging
117 rdf:type schema:DefinedTerm
118 N87cb1f07b7b446e49c395ad44966cce8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Colonic Neoplasms
120 rdf:type schema:DefinedTerm
121 N8f6bf9100b1f4bf8b1c1789a5e549232 rdf:first sg:person.01232750565.11
122 rdf:rest Nc473320db03d48b7abb966c544eac45f
123 N909981a83fb241e8b2172c5d8e5a4abe rdf:first sg:person.01326153142.59
124 rdf:rest N6014fa4add054f8a8c0310105e0911dd
125 N9d2f1b3669cd44b5a6be41638b16470f rdf:first sg:person.010641610614.04
126 rdf:rest Nddd8851fa8424e9b83448a70a0f92584
127 Na679ba138664447a958f86c93c184e2c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Female
129 rdf:type schema:DefinedTerm
130 Nadce2525472b452ab08a7127f66469a3 schema:name dimensions_id
131 schema:value pub.1106156535
132 rdf:type schema:PropertyValue
133 Nb06df7d4fe08492a850a2764fc678106 schema:issueNumber 11
134 rdf:type schema:PublicationIssue
135 Nb4c669bb05674be194b31c2aeaba3f71 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Middle Aged
137 rdf:type schema:DefinedTerm
138 Nb56e013ab3a144ee9827da71f8571369 schema:volumeNumber 144
139 rdf:type schema:PublicationVolume
140 Nb56e336226e24f239e7149bd8af43021 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Tomography, X-Ray Computed
142 rdf:type schema:DefinedTerm
143 Nbc6dbc51bc344a0b93115c74d1b4a5b0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Colorectal Neoplasms
145 rdf:type schema:DefinedTerm
146 Nc3add027702f435584e59eccb85464fa rdf:first sg:person.01153153254.30
147 rdf:rest N8f6bf9100b1f4bf8b1c1789a5e549232
148 Nc473320db03d48b7abb966c544eac45f rdf:first sg:person.01124244144.55
149 rdf:rest N909981a83fb241e8b2172c5d8e5a4abe
150 Nc7ca6dc794e44c60829025bb5f94522e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Disease-Free Survival
152 rdf:type schema:DefinedTerm
153 Nc944aa9c40d24e8b9c5e2eaf4d05c5b8 rdf:first sg:person.0717210535.99
154 rdf:rest Neb0985d341ee4210b5479a4517ed1480
155 Nca0047d11ed64a64945e01519fdb2db0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Aged
157 rdf:type schema:DefinedTerm
158 Ncda3f1503bb1405c9fe767411159fd02 schema:name doi
159 schema:value 10.1007/s00432-018-2736-z
160 rdf:type schema:PropertyValue
161 Nd38ea2a5a6a8474583deba21b49a41d2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name Aged, 80 and over
163 rdf:type schema:DefinedTerm
164 Nddd8851fa8424e9b83448a70a0f92584 rdf:first sg:person.01114011341.09
165 rdf:rest Nc944aa9c40d24e8b9c5e2eaf4d05c5b8
166 Neb0985d341ee4210b5479a4517ed1480 rdf:first sg:person.015741112722.28
167 rdf:rest N336b0b2fb60b429e8a10d7a92bf541f0
168 Nf9e26ae3e30b4d1d94683c8905ea0700 rdf:first sg:person.01014006164.62
169 rdf:rest N375a61dfabb14786b6b9e5ec94d13e71
170 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
171 schema:name Medical and Health Sciences
172 rdf:type schema:DefinedTerm
173 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
174 schema:name Oncology and Carcinogenesis
175 rdf:type schema:DefinedTerm
176 sg:journal.1313647 schema:issn 0171-5216
177 1432-1335
178 schema:name Journal of Cancer Research and Clinical Oncology
179 rdf:type schema:Periodical
180 sg:person.01014006164.62 schema:affiliation https://www.grid.ac/institutes/grid.470266.1
181 schema:familyName Beijer
182 schema:givenName S.
183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01014006164.62
184 rdf:type schema:Person
185 sg:person.010641610614.04 schema:affiliation https://www.grid.ac/institutes/grid.415351.7
186 schema:familyName Dronkers
187 schema:givenName J. J.
188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010641610614.04
189 rdf:type schema:Person
190 sg:person.01114011341.09 schema:affiliation https://www.grid.ac/institutes/grid.415351.7
191 schema:familyName Haringhuizen
192 schema:givenName A.
193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114011341.09
194 rdf:type schema:Person
195 sg:person.01124244144.55 schema:affiliation https://www.grid.ac/institutes/grid.4818.5
196 schema:familyName van Duijnhoven
197 schema:givenName F. J. B.
198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01124244144.55
199 rdf:type schema:Person
200 sg:person.01134646422.50 schema:affiliation https://www.grid.ac/institutes/grid.4818.5
201 schema:familyName Kampman
202 schema:givenName E.
203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01134646422.50
204 rdf:type schema:Person
205 sg:person.01145734073.91 schema:affiliation https://www.grid.ac/institutes/grid.240473.6
206 schema:familyName Winkels
207 schema:givenName R. M.
208 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01145734073.91
209 rdf:type schema:Person
210 sg:person.01153153254.30 schema:affiliation https://www.grid.ac/institutes/grid.5012.6
211 schema:familyName Weijenberg
212 schema:givenName M. P.
213 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01153153254.30
214 rdf:type schema:Person
215 sg:person.01232750565.11 schema:affiliation https://www.grid.ac/institutes/grid.4818.5
216 schema:familyName van Zutphen
217 schema:givenName M.
218 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01232750565.11
219 rdf:type schema:Person
220 sg:person.012647236337.54 schema:affiliation https://www.grid.ac/institutes/grid.4818.5
221 schema:familyName van Baar
222 schema:givenName Harm
223 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012647236337.54
224 rdf:type schema:Person
225 sg:person.01326153142.59 schema:affiliation https://www.grid.ac/institutes/grid.414711.6
226 schema:familyName Slooter
227 schema:givenName G. D.
228 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01326153142.59
229 rdf:type schema:Person
230 sg:person.014765261317.53 schema:affiliation https://www.grid.ac/institutes/grid.10417.33
231 schema:familyName de Wilt
232 schema:givenName J. H. W.
233 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014765261317.53
234 rdf:type schema:Person
235 sg:person.015741112722.28 schema:affiliation https://www.grid.ac/institutes/grid.413327.0
236 schema:familyName Hansson
237 schema:givenName B. M. E.
238 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015741112722.28
239 rdf:type schema:Person
240 sg:person.015760141644.80 schema:affiliation https://www.grid.ac/institutes/grid.413508.b
241 schema:familyName Pruijt
242 schema:givenName J. F. M.
243 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015760141644.80
244 rdf:type schema:Person
245 sg:person.016363617764.77 schema:affiliation https://www.grid.ac/institutes/grid.5012.6
246 schema:familyName Bours
247 schema:givenName M. J. L.
248 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016363617764.77
249 rdf:type schema:Person
250 sg:person.0717210535.99 schema:affiliation https://www.grid.ac/institutes/grid.415930.a
251 schema:familyName Spillenaar Bilgen
252 schema:givenName E. J.
253 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0717210535.99
254 rdf:type schema:Person
255 sg:pub.10.1038/bjc.2017.149 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085882622
256 https://doi.org/10.1038/bjc.2017.149
257 rdf:type schema:CreativeWork
258 sg:pub.10.1186/1471-2407-14-374 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046693194
259 https://doi.org/10.1186/1471-2407-14-374
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1002/cncr.28218 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026148396
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1002/cncr.31405 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104159938
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1002/jcsm.12155 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050657672
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1002/jcsm.12301 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103477405
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1016/j.breast.2016.10.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051717521
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1016/j.clnu.2016.03.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051319782
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1016/j.clnu.2017.05.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085449610
274 rdf:type schema:CreativeWork
275 https://doi.org/10.1016/j.ejso.2018.05.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104427731
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1016/j.jhep.2015.02.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025757295
278 rdf:type schema:CreativeWork
279 https://doi.org/10.1016/s1470-2045(08)70153-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030488821
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1093/gerona/gls168 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048604482
282 rdf:type schema:CreativeWork
283 https://doi.org/10.1152/jappl.1998.85.1.115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083287696
284 rdf:type schema:CreativeWork
285 https://doi.org/10.1152/jappl.2000.89.1.104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074670948
286 rdf:type schema:CreativeWork
287 https://doi.org/10.1152/jappl.2001.90.6.2157 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074815191
288 rdf:type schema:CreativeWork
289 https://doi.org/10.1152/japplphysiol.00053.2005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036560223
290 rdf:type schema:CreativeWork
291 https://doi.org/10.1158/1055-9965.epi-13-1144 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024764314
292 rdf:type schema:CreativeWork
293 https://doi.org/10.1158/1055-9965.epi-17-0200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085467911
294 rdf:type schema:CreativeWork
295 https://doi.org/10.1159/000182084 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042782831
296 rdf:type schema:CreativeWork
297 https://doi.org/10.1200/jco.2012.45.2722 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005766659
298 rdf:type schema:CreativeWork
299 https://doi.org/10.1200/jco.2015.63.6043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026101710
300 rdf:type schema:CreativeWork
301 https://doi.org/10.1200/jco.2016.68.8010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042533847
302 rdf:type schema:CreativeWork
303 https://doi.org/10.1200/jco.2016.68.9364 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030805295
304 rdf:type schema:CreativeWork
305 https://doi.org/10.1210/jc.85.7.2463 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064301465
306 rdf:type schema:CreativeWork
307 https://doi.org/10.3322/caac.21395 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084430952
308 rdf:type schema:CreativeWork
309 https://www.grid.ac/institutes/grid.10417.33 schema:alternateName Radboud University Nijmegen Medical Centre
310 schema:name Department of Surgery, Radboud Universitair Medisch Centrum, Nijmegen, The Netherlands
311 rdf:type schema:Organization
312 https://www.grid.ac/institutes/grid.240473.6 schema:alternateName Penn State Milton S. Hershey Medical Center
313 schema:name Department of Public Health Sciences, Penn State College of Medicine, Penn State University, Hershey, PA, USA
314 Division of Human Nutrition, Wageningen University and Research, PO Box 17, 6700 AA, Wageningen, The Netherlands
315 rdf:type schema:Organization
316 https://www.grid.ac/institutes/grid.413327.0 schema:alternateName Canisius-Wilhelmina Ziekenhuis
317 schema:name Department of Surgery, Canisius Wilhelmina Hospital, Nijmegen, The Netherlands
318 rdf:type schema:Organization
319 https://www.grid.ac/institutes/grid.413508.b schema:alternateName Jeroen Bosch Ziekenhuis
320 schema:name Department of Medical Oncology, Jeroen Bosch Hospital, ‘s Hertogenbosch, The Netherlands
321 rdf:type schema:Organization
322 https://www.grid.ac/institutes/grid.414711.6 schema:alternateName Máxima Medisch Centrum
323 schema:name Department of Surgery, Maxima Medical Centre, Veldhoven, The Netherlands
324 rdf:type schema:Organization
325 https://www.grid.ac/institutes/grid.415351.7 schema:alternateName Ziekenhuis Gelderse Vallei
326 schema:name Department of Medical Oncology, Gelderse Vallei Hospital, Ede, The Netherlands
327 Department of Physiotherapy, Gelderse Vallei Hospital, Ede, The Netherlands
328 rdf:type schema:Organization
329 https://www.grid.ac/institutes/grid.415930.a schema:alternateName Rijnstate Hospital
330 schema:name Department of Surgery, Rijnstate Hospital, Arnhem, The Netherlands
331 rdf:type schema:Organization
332 https://www.grid.ac/institutes/grid.470266.1 schema:alternateName Netherlands Comprehensive Cancer Organisation
333 schema:name Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, The Netherlands
334 rdf:type schema:Organization
335 https://www.grid.ac/institutes/grid.4818.5 schema:alternateName Wageningen University & Research
336 schema:name Division of Human Nutrition, Wageningen University and Research, PO Box 17, 6700 AA, Wageningen, The Netherlands
337 rdf:type schema:Organization
338 https://www.grid.ac/institutes/grid.5012.6 schema:alternateName Maastricht University
339 schema:name Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
340 rdf:type schema:Organization
 




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


...