Age, Preoperative Subcutaneous Fat Area, and Open Laparotomy are Risk Factors for Incisional Hernia following Colorectal Cancer Surgery View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-02

AUTHORS

Toru Yamada, Koji Okabayashi, Hirotoshi Hasegawa, Masashi Tsuruta, Yuta Abe, Takashi Ishida, Shimpei Matsui, Yuko Kitagawa

ABSTRACT

BACKGROUND: Although incisional hernia (IH) is a common complication of abdominal surgery, the incidence rate and risk factors are not well known. The objectives of this study are to determine the incidence rate of IH following colorectal cancer surgery and to describe the associated risk factors. METHODS: Between 2005 and 2010, patients who underwent surgery to treat colorectal cancer were examined. The diagnosis of IH was performed by CT scan, and the visceral fat area (VFA) and subcutaneous fat area (SFA) at the level of the umbilicus were calculated using a 3D-image analysis system. Survival analysis was used to assess the incidence and risk factors of IH. RESULTS: A total of 626 patients (326 open, 300 laparoscopic) were included in this study, with median follow-up of 54 (range 2-97) months. Forty patients were diagnosed with postoperative IH, and the cumulative, 5-year incidence of IH was 7.3 %. Univariate analysis revealed that age, body mass index, waist circumference, hip circumference, open laparotomy, wound infection, VFA, and SFA were significantly associated with incidence of IH. Multivariate analysis revealed that age [hazard ratio (HR) 1.043 (1.005-1.083), p = 0.027], open laparotomy [HR 4.410 (1.018-19.095), p = 0.047], and SFA [HR 1.013 (1.004-1.022), p = 0.005] were significant risk factors for developing IH. CONCLUSIONS: Higher age and SFA, along with open surgery, are risk factors for developing IH. More... »

PAGES

236-241

Identifiers

URI

http://scigraph.springernature.com/pub.10.1245/s10434-015-4462-y

DOI

http://dx.doi.org/10.1245/s10434-015-4462-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1011100463

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25743333


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": "Age Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Body Mass Index", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Case-Control Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Colorectal Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Follow-Up Studies", 
        "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": "Incisional Hernia", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Japan", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Laparoscopy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Laparotomy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasm Staging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Postoperative Complications", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Preoperative Care", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Subcutaneous Fat", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Keio University", 
          "id": "https://www.grid.ac/institutes/grid.26091.3c", 
          "name": [
            "Department of Surgery, Keio University School of Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamada", 
        "givenName": "Toru", 
        "id": "sg:person.01047560200.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01047560200.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Keio University", 
          "id": "https://www.grid.ac/institutes/grid.26091.3c", 
          "name": [
            "Department of Surgery, Keio University School of Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Okabayashi", 
        "givenName": "Koji", 
        "id": "sg:person.01133541461.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01133541461.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Keio University", 
          "id": "https://www.grid.ac/institutes/grid.26091.3c", 
          "name": [
            "Department of Surgery, Keio University School of Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hasegawa", 
        "givenName": "Hirotoshi", 
        "id": "sg:person.01334631144.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01334631144.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Keio University", 
          "id": "https://www.grid.ac/institutes/grid.26091.3c", 
          "name": [
            "Department of Surgery, Keio University School of Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tsuruta", 
        "givenName": "Masashi", 
        "id": "sg:person.01264236744.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01264236744.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Keio University", 
          "id": "https://www.grid.ac/institutes/grid.26091.3c", 
          "name": [
            "Department of Surgery, Keio University School of Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Abe", 
        "givenName": "Yuta", 
        "id": "sg:person.0701304263.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0701304263.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Keio University", 
          "id": "https://www.grid.ac/institutes/grid.26091.3c", 
          "name": [
            "Department of Surgery, Keio University School of Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ishida", 
        "givenName": "Takashi", 
        "id": "sg:person.01005716310.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01005716310.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Keio University", 
          "id": "https://www.grid.ac/institutes/grid.26091.3c", 
          "name": [
            "Department of Surgery, Keio University School of Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Matsui", 
        "givenName": "Shimpei", 
        "id": "sg:person.01364200306.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364200306.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Keio University", 
          "id": "https://www.grid.ac/institutes/grid.26091.3c", 
          "name": [
            "Department of Surgery, Keio University School of Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kitagawa", 
        "givenName": "Yuko", 
        "id": "sg:person.01015255273.74", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01015255273.74"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.ctrv.2008.03.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000176972"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.surg.2011.08.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003039587"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10029-008-0469-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003238204", 
          "https://doi.org/10.1007/s10029-008-0469-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10029-008-0469-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003238204", 
          "https://doi.org/10.1007/s10029-008-0469-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jamcollsurg.2009.10.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004461566"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0002-9610(99)80309-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006080823"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00464-008-9924-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011048051", 
          "https://doi.org/10.1007/s00464-008-9924-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00464-008-9924-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011048051", 
          "https://doi.org/10.1007/s00464-008-9924-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00000658-200010000-00007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013392586"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00000658-200010000-00007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013392586"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s004649901012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014762250", 
          "https://doi.org/10.1007/s004649901012"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1072-7515(03)00232-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015744139"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1072-7515(03)00232-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015744139"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.e2843", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017214516"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00268-005-7929-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026690037", 
          "https://doi.org/10.1007/s00268-005-7929-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00268-005-7929-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026690037", 
          "https://doi.org/10.1007/s00268-005-7929-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00384-013-1803-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027000028", 
          "https://doi.org/10.1007/s00384-013-1803-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.284.6320.931", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030181472"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0002-9610(99)80018-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032419773"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10029-014-1214-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033306325", 
          "https://doi.org/10.1007/s10029-014-1214-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archsurg.2009.189", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034092815"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10350-004-6318-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037055616", 
          "https://doi.org/10.1007/s10350-004-6318-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1007/s10350-004-6318-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037055616"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10350-005-0159-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037352054", 
          "https://doi.org/10.1007/s10350-005-0159-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1007/s10350-005-0159-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037352054"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1007/s10350-005-0159-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037352054"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bjs.7339", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037569491"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bjs.7339", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037569491"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00000658-200003000-00018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045923276"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00000658-200003000-00018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045923276"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bjs.1800710405", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048885648"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.surge.2012.01.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050028531"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bjs.6742", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052826356"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bjs.6742", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052826356"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074555236", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078603108", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082572730", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082889312", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1052-5157(18)30370-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082902756"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-02", 
    "datePublishedReg": "2016-02-01", 
    "description": "BACKGROUND: Although incisional hernia (IH) is a common complication of abdominal surgery, the incidence rate and risk factors are not well known. The objectives of this study are to determine the incidence rate of IH following colorectal cancer surgery and to describe the associated risk factors.\nMETHODS: Between 2005 and 2010, patients who underwent surgery to treat colorectal cancer were examined. The diagnosis of IH was performed by CT scan, and the visceral fat area (VFA) and subcutaneous fat area (SFA) at the level of the umbilicus were calculated using a 3D-image analysis system. Survival analysis was used to assess the incidence and risk factors of IH.\nRESULTS: A total of 626 patients (326 open, 300 laparoscopic) were included in this study, with median follow-up of 54 (range 2-97) months. Forty patients were diagnosed with postoperative IH, and the cumulative, 5-year incidence of IH was 7.3 %. Univariate analysis revealed that age, body mass index, waist circumference, hip circumference, open laparotomy, wound infection, VFA, and SFA were significantly associated with incidence of IH. Multivariate analysis revealed that age [hazard ratio (HR) 1.043 (1.005-1.083), p = 0.027], open laparotomy [HR 4.410 (1.018-19.095), p = 0.047], and SFA [HR 1.013 (1.004-1.022), p = 0.005] were significant risk factors for developing IH.\nCONCLUSIONS: Higher age and SFA, along with open surgery, are risk factors for developing IH.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1245/s10434-015-4462-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1105545", 
        "issn": [
          "1068-9265", 
          "1534-4681"
        ], 
        "name": "Annals of Surgical Oncology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "Suppl 2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "23"
      }
    ], 
    "name": "Age, Preoperative Subcutaneous Fat Area, and Open Laparotomy are Risk Factors for Incisional Hernia following Colorectal Cancer Surgery", 
    "pagination": "236-241", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "34e312916b2e8271158c3cf42a95ea566998e44b0f6c40fcd1246778fb7c601f"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "25743333"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9420840"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1245/s10434-015-4462-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1011100463"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1245/s10434-015-4462-y", 
      "https://app.dimensions.ai/details/publication/pub.1011100463"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T01:04", 
    "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_8697_00000498.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1245/s10434-015-4462-y"
  }
]
 

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

HOW TO GET THIS DATA PROGRAMMATICALLY:

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

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1245/s10434-015-4462-y'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1245/s10434-015-4462-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1245/s10434-015-4462-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1245/s10434-015-4462-y'


 

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

300 TRIPLES      21 PREDICATES      81 URIs      43 LITERALS      31 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1245/s10434-015-4462-y schema:about N021d3834a4224d7dba5aa882623c850a
2 N09c762da9f784b618aade00ea0e4a3bb
3 N0affa57aa044491e849224f03e699ca3
4 N11bbc00bc7ea427586145b2b0b1ea751
5 N1296a30e4e9445199e7bb4cc174e11fd
6 N209d5c18922d4714a9c095a8a68051a5
7 N28c7d199e628404593b6b02ec4aef89c
8 N2fdec5f65a2a46ee9381536de84fa2d6
9 N37d33a5c5e59496ea4b0290c3ecd84af
10 N41bf7e1d6c2142939358f90bd8217d94
11 N6d60e5e604384ba8ac360bc15e97ffeb
12 N75873e0689fb4e529ec510855de129b5
13 N7806d1c1db9340649c8d5953a206728c
14 N7bf3f648901a4cb0a34a6523f3cd8d7d
15 N7ddde5414e024dd79b688e20fb98f9b6
16 N8d29bb121ea445d1bd4d807d254513c9
17 N9b983d1b717842aa9e15d11b77c66440
18 Nabfcb22199204c73958f31bc32192b13
19 Nae4d0a79385a472e9b08c01180be93b9
20 Nbf23678e66e344e9aa8b9d1a9717eb21
21 Nc8b7046087804bd69033a8fd8f77581f
22 Nd9612f3fb11242c584c498630424c804
23 anzsrc-for:11
24 anzsrc-for:1103
25 schema:author N35c61073587b437d9510665a54b4c7ca
26 schema:citation sg:pub.10.1007/s00268-005-7929-3
27 sg:pub.10.1007/s00384-013-1803-9
28 sg:pub.10.1007/s00464-008-9924-x
29 sg:pub.10.1007/s004649901012
30 sg:pub.10.1007/s10029-008-0469-7
31 sg:pub.10.1007/s10029-014-1214-z
32 sg:pub.10.1007/s10350-004-6318-6
33 sg:pub.10.1007/s10350-005-0159-9
34 https://app.dimensions.ai/details/publication/pub.1074555236
35 https://app.dimensions.ai/details/publication/pub.1078603108
36 https://app.dimensions.ai/details/publication/pub.1082572730
37 https://app.dimensions.ai/details/publication/pub.1082889312
38 https://doi.org/10.1001/archsurg.2009.189
39 https://doi.org/10.1002/bjs.1800710405
40 https://doi.org/10.1002/bjs.6742
41 https://doi.org/10.1002/bjs.7339
42 https://doi.org/10.1007/s10350-004-6318-6
43 https://doi.org/10.1007/s10350-005-0159-9
44 https://doi.org/10.1016/j.ctrv.2008.03.011
45 https://doi.org/10.1016/j.jamcollsurg.2009.10.013
46 https://doi.org/10.1016/j.surg.2011.08.004
47 https://doi.org/10.1016/j.surge.2012.01.001
48 https://doi.org/10.1016/s0002-9610(99)80018-x
49 https://doi.org/10.1016/s0002-9610(99)80309-2
50 https://doi.org/10.1016/s1052-5157(18)30370-2
51 https://doi.org/10.1016/s1072-7515(03)00232-1
52 https://doi.org/10.1097/00000658-200003000-00018
53 https://doi.org/10.1097/00000658-200010000-00007
54 https://doi.org/10.1136/bmj.284.6320.931
55 https://doi.org/10.1136/bmj.e2843
56 schema:datePublished 2016-02
57 schema:datePublishedReg 2016-02-01
58 schema:description BACKGROUND: Although incisional hernia (IH) is a common complication of abdominal surgery, the incidence rate and risk factors are not well known. The objectives of this study are to determine the incidence rate of IH following colorectal cancer surgery and to describe the associated risk factors. METHODS: Between 2005 and 2010, patients who underwent surgery to treat colorectal cancer were examined. The diagnosis of IH was performed by CT scan, and the visceral fat area (VFA) and subcutaneous fat area (SFA) at the level of the umbilicus were calculated using a 3D-image analysis system. Survival analysis was used to assess the incidence and risk factors of IH. RESULTS: A total of 626 patients (326 open, 300 laparoscopic) were included in this study, with median follow-up of 54 (range 2-97) months. Forty patients were diagnosed with postoperative IH, and the cumulative, 5-year incidence of IH was 7.3 %. Univariate analysis revealed that age, body mass index, waist circumference, hip circumference, open laparotomy, wound infection, VFA, and SFA were significantly associated with incidence of IH. Multivariate analysis revealed that age [hazard ratio (HR) 1.043 (1.005-1.083), p = 0.027], open laparotomy [HR 4.410 (1.018-19.095), p = 0.047], and SFA [HR 1.013 (1.004-1.022), p = 0.005] were significant risk factors for developing IH. CONCLUSIONS: Higher age and SFA, along with open surgery, are risk factors for developing IH.
59 schema:genre research_article
60 schema:inLanguage en
61 schema:isAccessibleForFree false
62 schema:isPartOf N22c061766ed9470b8992ce9a0c20aca1
63 Na908096aaeaa46c4a686ae82c8987825
64 sg:journal.1105545
65 schema:name Age, Preoperative Subcutaneous Fat Area, and Open Laparotomy are Risk Factors for Incisional Hernia following Colorectal Cancer Surgery
66 schema:pagination 236-241
67 schema:productId N25b4603c0a3143958d827d39c36dc91b
68 N88ffedfc97064bd38a7d449ebf188a99
69 Naebbb87e5f974767aecca2a6c96197a5
70 Nbc62f1e0efb6411fa6a0ec4f3726c7f0
71 Nd3307806d51e4a51974eebc7e7bc10ce
72 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011100463
73 https://doi.org/10.1245/s10434-015-4462-y
74 schema:sdDatePublished 2019-04-11T01:04
75 schema:sdLicense https://scigraph.springernature.com/explorer/license/
76 schema:sdPublisher Nd931dc59a5c34b898f897f48588ca30d
77 schema:url http://link.springer.com/10.1245/s10434-015-4462-y
78 sgo:license sg:explorer/license/
79 sgo:sdDataset articles
80 rdf:type schema:ScholarlyArticle
81 N021d3834a4224d7dba5aa882623c850a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Incisional Hernia
83 rdf:type schema:DefinedTerm
84 N09c762da9f784b618aade00ea0e4a3bb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Neoplasm Staging
86 rdf:type schema:DefinedTerm
87 N0affa57aa044491e849224f03e699ca3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
88 schema:name Colorectal Neoplasms
89 rdf:type schema:DefinedTerm
90 N11bbc00bc7ea427586145b2b0b1ea751 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
91 schema:name Male
92 rdf:type schema:DefinedTerm
93 N1296a30e4e9445199e7bb4cc174e11fd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Age Factors
95 rdf:type schema:DefinedTerm
96 N18fc4a92b51d49288f2f9774fb2f31cc rdf:first sg:person.0701304263.44
97 rdf:rest Nfaa7307c8a4b4ed18d9da0074e39865b
98 N209d5c18922d4714a9c095a8a68051a5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Body Mass Index
100 rdf:type schema:DefinedTerm
101 N22c061766ed9470b8992ce9a0c20aca1 schema:issueNumber Suppl 2
102 rdf:type schema:PublicationIssue
103 N25b4603c0a3143958d827d39c36dc91b schema:name readcube_id
104 schema:value 34e312916b2e8271158c3cf42a95ea566998e44b0f6c40fcd1246778fb7c601f
105 rdf:type schema:PropertyValue
106 N28c7d199e628404593b6b02ec4aef89c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Postoperative Complications
108 rdf:type schema:DefinedTerm
109 N2fdec5f65a2a46ee9381536de84fa2d6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Follow-Up Studies
111 rdf:type schema:DefinedTerm
112 N35c61073587b437d9510665a54b4c7ca rdf:first sg:person.01047560200.22
113 rdf:rest N7ee1b6f14ada4c5f819c02a6e23bb56f
114 N37d33a5c5e59496ea4b0290c3ecd84af schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Humans
116 rdf:type schema:DefinedTerm
117 N41bf7e1d6c2142939358f90bd8217d94 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Laparoscopy
119 rdf:type schema:DefinedTerm
120 N6c8d95a48dd24aa89a643a9c0242bf4f rdf:first sg:person.01015255273.74
121 rdf:rest rdf:nil
122 N6d60e5e604384ba8ac360bc15e97ffeb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Retrospective Studies
124 rdf:type schema:DefinedTerm
125 N7386975a2cff495782637da66686bf88 rdf:first sg:person.01264236744.12
126 rdf:rest N18fc4a92b51d49288f2f9774fb2f31cc
127 N75873e0689fb4e529ec510855de129b5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Prognosis
129 rdf:type schema:DefinedTerm
130 N7806d1c1db9340649c8d5953a206728c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Japan
132 rdf:type schema:DefinedTerm
133 N78c7825a425645d38d5b31d8c2712d25 rdf:first sg:person.01334631144.12
134 rdf:rest N7386975a2cff495782637da66686bf88
135 N7bf3f648901a4cb0a34a6523f3cd8d7d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Risk Factors
137 rdf:type schema:DefinedTerm
138 N7ddde5414e024dd79b688e20fb98f9b6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Laparotomy
140 rdf:type schema:DefinedTerm
141 N7ee1b6f14ada4c5f819c02a6e23bb56f rdf:first sg:person.01133541461.19
142 rdf:rest N78c7825a425645d38d5b31d8c2712d25
143 N88ffedfc97064bd38a7d449ebf188a99 schema:name nlm_unique_id
144 schema:value 9420840
145 rdf:type schema:PropertyValue
146 N8d29bb121ea445d1bd4d807d254513c9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Incidence
148 rdf:type schema:DefinedTerm
149 N9b983d1b717842aa9e15d11b77c66440 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name Preoperative Care
151 rdf:type schema:DefinedTerm
152 Na908096aaeaa46c4a686ae82c8987825 schema:volumeNumber 23
153 rdf:type schema:PublicationVolume
154 Nabfcb22199204c73958f31bc32192b13 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
155 schema:name Female
156 rdf:type schema:DefinedTerm
157 Nae4d0a79385a472e9b08c01180be93b9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Subcutaneous Fat
159 rdf:type schema:DefinedTerm
160 Naebbb87e5f974767aecca2a6c96197a5 schema:name doi
161 schema:value 10.1245/s10434-015-4462-y
162 rdf:type schema:PropertyValue
163 Nbc62f1e0efb6411fa6a0ec4f3726c7f0 schema:name dimensions_id
164 schema:value pub.1011100463
165 rdf:type schema:PropertyValue
166 Nbf23678e66e344e9aa8b9d1a9717eb21 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
167 schema:name Case-Control Studies
168 rdf:type schema:DefinedTerm
169 Nc8b7046087804bd69033a8fd8f77581f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
170 schema:name Aged
171 rdf:type schema:DefinedTerm
172 Nd3307806d51e4a51974eebc7e7bc10ce schema:name pubmed_id
173 schema:value 25743333
174 rdf:type schema:PropertyValue
175 Nd931dc59a5c34b898f897f48588ca30d schema:name Springer Nature - SN SciGraph project
176 rdf:type schema:Organization
177 Nd9612f3fb11242c584c498630424c804 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
178 schema:name Middle Aged
179 rdf:type schema:DefinedTerm
180 Ne7f91d5e4818419faaf1f50f03effe1b rdf:first sg:person.01364200306.83
181 rdf:rest N6c8d95a48dd24aa89a643a9c0242bf4f
182 Nfaa7307c8a4b4ed18d9da0074e39865b rdf:first sg:person.01005716310.08
183 rdf:rest Ne7f91d5e4818419faaf1f50f03effe1b
184 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
185 schema:name Medical and Health Sciences
186 rdf:type schema:DefinedTerm
187 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
188 schema:name Clinical Sciences
189 rdf:type schema:DefinedTerm
190 sg:journal.1105545 schema:issn 1068-9265
191 1534-4681
192 schema:name Annals of Surgical Oncology
193 rdf:type schema:Periodical
194 sg:person.01005716310.08 schema:affiliation https://www.grid.ac/institutes/grid.26091.3c
195 schema:familyName Ishida
196 schema:givenName Takashi
197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01005716310.08
198 rdf:type schema:Person
199 sg:person.01015255273.74 schema:affiliation https://www.grid.ac/institutes/grid.26091.3c
200 schema:familyName Kitagawa
201 schema:givenName Yuko
202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01015255273.74
203 rdf:type schema:Person
204 sg:person.01047560200.22 schema:affiliation https://www.grid.ac/institutes/grid.26091.3c
205 schema:familyName Yamada
206 schema:givenName Toru
207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01047560200.22
208 rdf:type schema:Person
209 sg:person.01133541461.19 schema:affiliation https://www.grid.ac/institutes/grid.26091.3c
210 schema:familyName Okabayashi
211 schema:givenName Koji
212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01133541461.19
213 rdf:type schema:Person
214 sg:person.01264236744.12 schema:affiliation https://www.grid.ac/institutes/grid.26091.3c
215 schema:familyName Tsuruta
216 schema:givenName Masashi
217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01264236744.12
218 rdf:type schema:Person
219 sg:person.01334631144.12 schema:affiliation https://www.grid.ac/institutes/grid.26091.3c
220 schema:familyName Hasegawa
221 schema:givenName Hirotoshi
222 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01334631144.12
223 rdf:type schema:Person
224 sg:person.01364200306.83 schema:affiliation https://www.grid.ac/institutes/grid.26091.3c
225 schema:familyName Matsui
226 schema:givenName Shimpei
227 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364200306.83
228 rdf:type schema:Person
229 sg:person.0701304263.44 schema:affiliation https://www.grid.ac/institutes/grid.26091.3c
230 schema:familyName Abe
231 schema:givenName Yuta
232 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0701304263.44
233 rdf:type schema:Person
234 sg:pub.10.1007/s00268-005-7929-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026690037
235 https://doi.org/10.1007/s00268-005-7929-3
236 rdf:type schema:CreativeWork
237 sg:pub.10.1007/s00384-013-1803-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027000028
238 https://doi.org/10.1007/s00384-013-1803-9
239 rdf:type schema:CreativeWork
240 sg:pub.10.1007/s00464-008-9924-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1011048051
241 https://doi.org/10.1007/s00464-008-9924-x
242 rdf:type schema:CreativeWork
243 sg:pub.10.1007/s004649901012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014762250
244 https://doi.org/10.1007/s004649901012
245 rdf:type schema:CreativeWork
246 sg:pub.10.1007/s10029-008-0469-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003238204
247 https://doi.org/10.1007/s10029-008-0469-7
248 rdf:type schema:CreativeWork
249 sg:pub.10.1007/s10029-014-1214-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1033306325
250 https://doi.org/10.1007/s10029-014-1214-z
251 rdf:type schema:CreativeWork
252 sg:pub.10.1007/s10350-004-6318-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037055616
253 https://doi.org/10.1007/s10350-004-6318-6
254 rdf:type schema:CreativeWork
255 sg:pub.10.1007/s10350-005-0159-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037352054
256 https://doi.org/10.1007/s10350-005-0159-9
257 rdf:type schema:CreativeWork
258 https://app.dimensions.ai/details/publication/pub.1074555236 schema:CreativeWork
259 https://app.dimensions.ai/details/publication/pub.1078603108 schema:CreativeWork
260 https://app.dimensions.ai/details/publication/pub.1082572730 schema:CreativeWork
261 https://app.dimensions.ai/details/publication/pub.1082889312 schema:CreativeWork
262 https://doi.org/10.1001/archsurg.2009.189 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034092815
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1002/bjs.1800710405 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048885648
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1002/bjs.6742 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052826356
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1002/bjs.7339 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037569491
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1007/s10350-004-6318-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037055616
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1007/s10350-005-0159-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037352054
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1016/j.ctrv.2008.03.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000176972
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1016/j.jamcollsurg.2009.10.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004461566
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1016/j.surg.2011.08.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003039587
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1016/j.surge.2012.01.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050028531
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1016/s0002-9610(99)80018-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1032419773
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1016/s0002-9610(99)80309-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006080823
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1016/s1052-5157(18)30370-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082902756
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1016/s1072-7515(03)00232-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015744139
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1097/00000658-200003000-00018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045923276
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1097/00000658-200010000-00007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013392586
293 rdf:type schema:CreativeWork
294 https://doi.org/10.1136/bmj.284.6320.931 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030181472
295 rdf:type schema:CreativeWork
296 https://doi.org/10.1136/bmj.e2843 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017214516
297 rdf:type schema:CreativeWork
298 https://www.grid.ac/institutes/grid.26091.3c schema:alternateName Keio University
299 schema:name Department of Surgery, Keio University School of Medicine, Tokyo, Japan
300 rdf:type schema:Organization
 




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


...