Normal-to-mildly increased albuminuria predicts the risk for diabetic retinopathy in patients with type 2 diabetes View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-12

AUTHORS

Min-Kyung Lee, Kyung-Do Han, Jae-Hyuk Lee, Seo-Young Sohn, Oak-Kee Hong, Jee-Sun Jeong, Mee-Kyoung Kim, Ki-Hyun Baek, Ki-Ho Song, Hyuk-Sang Kwon

ABSTRACT

Albuminuria is closely associated with diabetic retinopathy (DR), but the precise role of the albumin-to-creatinine ratio (ACR) in screening for DR remains to be determined. This study aimed to investigate an ACR threshold for predicting DR in patients with type 2 diabetes. A cross-sectional study was conducted on 1,102 type 2 diabetes patients, aged ≥30 years and recruited from the Korea National Health and Nutrition Examination Survey, 2010-2011. Participants were grouped by stage of DR: mild-to-moderate nonproliferative DR (NPDR), severe NPDR, and proliferative diabetic retinopathy (PDR). An early morning spot urine sample was obtained for ACR measurement. ROC curve analysis revealed that the optimal cut-off value of ACR for predicting DR was 2.26 mg/mmol (20 μg/mg). The prevalence of ACR ≥ 2.26 mg/mmol tended to increase with severity of DR. The risk for DR in patients with ACR ≥ 2.26 mg/mmol was higher than in those with ACR < 2.26 mg/mmol. The risk for severe NPDR and PDR also increased at ACR ≥ 2.26 mg/mmol. Normal-to-mildly increased albuminuria (an ACR of 2.26 mg/mmol) may predict the risk for DR development and progression in patients with type 2 diabetes. More... »

PAGES

11757

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-017-11906-6

DOI

http://dx.doi.org/10.1038/s41598-017-11906-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1091675727

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28924157


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Division of Endocrinology and Metabolism, Department of Internal Medicine, Myongji Hospital, Seonam University College of Medicine, Gyeonggi-do, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Min-Kyung", 
        "id": "sg:person.0605173222.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0605173222.75"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Catholic University of Korea", 
          "id": "https://www.grid.ac/institutes/grid.411947.e", 
          "name": [
            "Department of Medical Statistics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Han", 
        "givenName": "Kyung-Do", 
        "id": "sg:person.01231212026.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01231212026.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Division of Endocrinology and Metabolism, Department of Internal Medicine, Myongji Hospital, Seonam University College of Medicine, Gyeonggi-do, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Jae-Hyuk", 
        "id": "sg:person.01365525320.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01365525320.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Division of Endocrinology and Metabolism, Department of Internal Medicine, Myongji Hospital, Seonam University College of Medicine, Gyeonggi-do, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sohn", 
        "givenName": "Seo-Young", 
        "id": "sg:person.0733730706.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0733730706.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Catholic University of Korea", 
          "id": "https://www.grid.ac/institutes/grid.411947.e", 
          "name": [
            "Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hong", 
        "givenName": "Oak-Kee", 
        "id": "sg:person.0654076367.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0654076367.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Catholic University of Korea", 
          "id": "https://www.grid.ac/institutes/grid.411947.e", 
          "name": [
            "Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea", 
            "Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary\u2019s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jeong", 
        "givenName": "Jee-Sun", 
        "id": "sg:person.016664721233.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016664721233.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Catholic University of Korea", 
          "id": "https://www.grid.ac/institutes/grid.411947.e", 
          "name": [
            "Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea", 
            "Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary\u2019s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Mee-Kyoung", 
        "id": "sg:person.01004166554.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01004166554.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Catholic University of Korea", 
          "id": "https://www.grid.ac/institutes/grid.411947.e", 
          "name": [
            "Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea", 
            "Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary\u2019s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Baek", 
        "givenName": "Ki-Hyun", 
        "id": "sg:person.0644244534.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0644244534.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Catholic University of Korea", 
          "id": "https://www.grid.ac/institutes/grid.411947.e", 
          "name": [
            "Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea", 
            "Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary\u2019s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Song", 
        "givenName": "Ki-Ho", 
        "id": "sg:person.0677551246.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677551246.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Catholic University of Korea", 
          "id": "https://www.grid.ac/institutes/grid.411947.e", 
          "name": [
            "Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea", 
            "Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary\u2019s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kwon", 
        "givenName": "Hyuk-Sang", 
        "id": "sg:person.01234207421.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01234207421.50"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.3341/kjo.2015.29.6.359", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001170330"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diaclin.26.2.77", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001765594"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2415-4-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003049217", 
          "https://doi.org/10.1186/1471-2415-4-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.numecd.2010.06.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010844328"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1172/jci118746", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013824506"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s2213-8587(15)00040-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016572051"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0161-6420(89)32814-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017394777"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ophtha.2008.05.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018509103"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.numecd.2015.03.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021380452"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0161-6420(98)91020-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021744248"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0161-6420(98)91020-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021744248"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ije/dyt228", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022837851"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1758-5996-3-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023180340", 
          "https://doi.org/10.1186/1758-5996-3-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0161-6420(13)38012-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023274010"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/dc11-1955", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024626390"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1681/asn.2008030292", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028897241"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1681/asn.2008030292", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028897241"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1758-5996-4-29", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029377325", 
          "https://doi.org/10.1186/1758-5996-4-29"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0272-6386(99)70442-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032374870"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3346/jkms.2009.24.s1.s75", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034426468"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/dc11-1909", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034742328"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.ajkd.2006.12.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034813008"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diacare.27.2007.s84", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037614429"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ndt/gfr561", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038741189"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.286.4.421", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042440144"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00285287", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042806935", 
          "https://doi.org/10.1007/bf00285287"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00285287", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042806935", 
          "https://doi.org/10.1007/bf00285287"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s2213-8587(14)70256-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042935830"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/jdi.12023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044540582"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0036718", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045040138"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.ajkd.2011.02.391", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046194690"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0161-6420(03)00475-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048267271"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0161-6420(03)00475-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048267271"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/kisup.2012.65", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048455185", 
          "https://doi.org/10.1038/kisup.2012.65"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0272-6386(03)00826-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048623160"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0272-6386(03)00826-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048623160"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1464-5491.2007.02209.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052698104"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3803/enm.2016.31.2.254", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053071256"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1590/s0100-879x2006000800006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053556673"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jc.2010-0544", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064292117"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/3350062", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070280050"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/0003-4819-130-6-199903160-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073703194"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074833863", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075019777", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.aje.a113284", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082126726"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082209256", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-12", 
    "datePublishedReg": "2017-12-01", 
    "description": "Albuminuria is closely associated with diabetic retinopathy (DR), but the precise role of the albumin-to-creatinine ratio (ACR) in screening for DR remains to be determined. This study aimed to investigate an ACR threshold for predicting DR in patients with type 2 diabetes. A cross-sectional study was conducted on 1,102 type 2 diabetes patients, aged \u226530 years and recruited from the Korea National Health and Nutrition Examination Survey, 2010-2011. Participants were grouped by stage of DR: mild-to-moderate nonproliferative DR (NPDR), severe NPDR, and proliferative diabetic retinopathy (PDR). An early morning spot urine sample was obtained for ACR measurement. ROC curve analysis revealed that the optimal cut-off value of ACR for predicting DR was 2.26\u2009mg/mmol (20\u2009\u03bcg/mg). The prevalence of ACR\u2009\u2265\u20092.26\u2009mg/mmol tended to increase with severity of DR. The risk for DR in patients with ACR\u2009\u2265\u20092.26\u2009mg/mmol was higher than in those with ACR\u2009<\u20092.26\u2009mg/mmol. The risk for severe NPDR and PDR also increased at ACR\u2009\u2265\u20092.26\u2009mg/mmol. Normal-to-mildly increased albuminuria (an ACR of 2.26\u2009mg/mmol) may predict the risk for DR development and progression in patients with type 2 diabetes.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-017-11906-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.7478599", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "7"
      }
    ], 
    "name": "Normal-to-mildly increased albuminuria predicts the risk for diabetic retinopathy in patients with type 2 diabetes", 
    "pagination": "11757", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "68c93d56cb8cd021c5a24816a186d4a2075962a7b9aa5ef4837698c5eca000e7"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28924157"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-017-11906-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1091675727"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-017-11906-6", 
      "https://app.dimensions.ai/details/publication/pub.1091675727"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T23:32", 
    "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_8693_00000552.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41598-017-11906-6"
  }
]
 

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

HOW TO GET THIS DATA PROGRAMMATICALLY:

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

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41598-017-11906-6'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-017-11906-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-017-11906-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-017-11906-6'


 

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

266 TRIPLES      21 PREDICATES      70 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-017-11906-6 schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author Nf5dfa04724c74cf5acbf03dd35c4e8cd
4 schema:citation sg:pub.10.1007/bf00285287
5 sg:pub.10.1038/kisup.2012.65
6 sg:pub.10.1186/1471-2415-4-9
7 sg:pub.10.1186/1758-5996-3-9
8 sg:pub.10.1186/1758-5996-4-29
9 https://app.dimensions.ai/details/publication/pub.1074833863
10 https://app.dimensions.ai/details/publication/pub.1075019777
11 https://app.dimensions.ai/details/publication/pub.1082209256
12 https://doi.org/10.1001/jama.286.4.421
13 https://doi.org/10.1016/j.numecd.2010.06.012
14 https://doi.org/10.1016/j.numecd.2015.03.011
15 https://doi.org/10.1016/j.ophtha.2008.05.014
16 https://doi.org/10.1016/s0161-6420(03)00475-5
17 https://doi.org/10.1016/s0161-6420(13)38012-9
18 https://doi.org/10.1016/s0161-6420(89)32814-4
19 https://doi.org/10.1016/s0161-6420(98)91020-x
20 https://doi.org/10.1016/s0272-6386(03)00826-6
21 https://doi.org/10.1016/s0272-6386(99)70442-7
22 https://doi.org/10.1016/s2213-8587(14)70256-6
23 https://doi.org/10.1016/s2213-8587(15)00040-6
24 https://doi.org/10.1053/j.ajkd.2006.12.005
25 https://doi.org/10.1053/j.ajkd.2011.02.391
26 https://doi.org/10.1093/ije/dyt228
27 https://doi.org/10.1093/ndt/gfr561
28 https://doi.org/10.1093/oxfordjournals.aje.a113284
29 https://doi.org/10.1111/j.1464-5491.2007.02209.x
30 https://doi.org/10.1111/jdi.12023
31 https://doi.org/10.1172/jci118746
32 https://doi.org/10.1210/jc.2010-0544
33 https://doi.org/10.1371/journal.pone.0036718
34 https://doi.org/10.1590/s0100-879x2006000800006
35 https://doi.org/10.1681/asn.2008030292
36 https://doi.org/10.2307/3350062
37 https://doi.org/10.2337/dc11-1909
38 https://doi.org/10.2337/dc11-1955
39 https://doi.org/10.2337/diacare.27.2007.s84
40 https://doi.org/10.2337/diaclin.26.2.77
41 https://doi.org/10.3341/kjo.2015.29.6.359
42 https://doi.org/10.3346/jkms.2009.24.s1.s75
43 https://doi.org/10.3803/enm.2016.31.2.254
44 https://doi.org/10.7326/0003-4819-130-6-199903160-00002
45 schema:datePublished 2017-12
46 schema:datePublishedReg 2017-12-01
47 schema:description Albuminuria is closely associated with diabetic retinopathy (DR), but the precise role of the albumin-to-creatinine ratio (ACR) in screening for DR remains to be determined. This study aimed to investigate an ACR threshold for predicting DR in patients with type 2 diabetes. A cross-sectional study was conducted on 1,102 type 2 diabetes patients, aged ≥30 years and recruited from the Korea National Health and Nutrition Examination Survey, 2010-2011. Participants were grouped by stage of DR: mild-to-moderate nonproliferative DR (NPDR), severe NPDR, and proliferative diabetic retinopathy (PDR). An early morning spot urine sample was obtained for ACR measurement. ROC curve analysis revealed that the optimal cut-off value of ACR for predicting DR was 2.26 mg/mmol (20 μg/mg). The prevalence of ACR ≥ 2.26 mg/mmol tended to increase with severity of DR. The risk for DR in patients with ACR ≥ 2.26 mg/mmol was higher than in those with ACR < 2.26 mg/mmol. The risk for severe NPDR and PDR also increased at ACR ≥ 2.26 mg/mmol. Normal-to-mildly increased albuminuria (an ACR of 2.26 mg/mmol) may predict the risk for DR development and progression in patients with type 2 diabetes.
48 schema:genre research_article
49 schema:inLanguage en
50 schema:isAccessibleForFree true
51 schema:isPartOf N3e94800ecd2b4e49aba01edf97d80156
52 Ned9c063073bb4a8eb79feb3bf575286f
53 sg:journal.1045337
54 schema:name Normal-to-mildly increased albuminuria predicts the risk for diabetic retinopathy in patients with type 2 diabetes
55 schema:pagination 11757
56 schema:productId N12b6b6ab98cf409a8d0c62d1e6b35547
57 N2c17e9b661fb4a07bee12861da53d305
58 N6a6d504b9c3f4d6697457524535559cc
59 Nd55d83507305458d80855d9de51471de
60 Ne01e9a00298241b68f888416c9a2f662
61 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091675727
62 https://doi.org/10.1038/s41598-017-11906-6
63 schema:sdDatePublished 2019-04-10T23:32
64 schema:sdLicense https://scigraph.springernature.com/explorer/license/
65 schema:sdPublisher N32c4232fa32843cebcd12fc36f2a88df
66 schema:url https://www.nature.com/articles/s41598-017-11906-6
67 sgo:license sg:explorer/license/
68 sgo:sdDataset articles
69 rdf:type schema:ScholarlyArticle
70 N02db0eb0465b4d819fe902c539b890d5 rdf:first sg:person.0677551246.81
71 rdf:rest Nf7206f4482b3427ab173f802610f62ae
72 N12b6b6ab98cf409a8d0c62d1e6b35547 schema:name nlm_unique_id
73 schema:value 101563288
74 rdf:type schema:PropertyValue
75 N2c17e9b661fb4a07bee12861da53d305 schema:name dimensions_id
76 schema:value pub.1091675727
77 rdf:type schema:PropertyValue
78 N32c4232fa32843cebcd12fc36f2a88df schema:name Springer Nature - SN SciGraph project
79 rdf:type schema:Organization
80 N3e94800ecd2b4e49aba01edf97d80156 schema:volumeNumber 7
81 rdf:type schema:PublicationVolume
82 N4aa43e0ac3cf4030a9a1db5286efc842 rdf:first sg:person.01365525320.27
83 rdf:rest Nf80cd63f6cf24ae9958529c10fe971ca
84 N5aeefd9b1c024e60ad9ed352cee8a2f4 schema:name Division of Endocrinology and Metabolism, Department of Internal Medicine, Myongji Hospital, Seonam University College of Medicine, Gyeonggi-do, Republic of Korea
85 rdf:type schema:Organization
86 N5b08557627474864b7307067aa550fad rdf:first sg:person.0644244534.37
87 rdf:rest N02db0eb0465b4d819fe902c539b890d5
88 N68ec444fe451420ebf0f3c1c1de9ff59 rdf:first sg:person.0654076367.44
89 rdf:rest Nd84ecaf421af4bbd8ad44a553a8680fd
90 N6a6d504b9c3f4d6697457524535559cc schema:name readcube_id
91 schema:value 68c93d56cb8cd021c5a24816a186d4a2075962a7b9aa5ef4837698c5eca000e7
92 rdf:type schema:PropertyValue
93 N6af3df01cd1446e998ce2988d8c6ebfe rdf:first sg:person.01004166554.54
94 rdf:rest N5b08557627474864b7307067aa550fad
95 N6eb78d3b9962452e8ee0f7d6976b885a schema:name Division of Endocrinology and Metabolism, Department of Internal Medicine, Myongji Hospital, Seonam University College of Medicine, Gyeonggi-do, Republic of Korea
96 rdf:type schema:Organization
97 N909c61345b36435ab75e7804aff08b5d schema:name Division of Endocrinology and Metabolism, Department of Internal Medicine, Myongji Hospital, Seonam University College of Medicine, Gyeonggi-do, Republic of Korea
98 rdf:type schema:Organization
99 Nbd6679e51ff54278a11f4417f9d30c7e rdf:first sg:person.01231212026.23
100 rdf:rest N4aa43e0ac3cf4030a9a1db5286efc842
101 Nd55d83507305458d80855d9de51471de schema:name doi
102 schema:value 10.1038/s41598-017-11906-6
103 rdf:type schema:PropertyValue
104 Nd84ecaf421af4bbd8ad44a553a8680fd rdf:first sg:person.016664721233.03
105 rdf:rest N6af3df01cd1446e998ce2988d8c6ebfe
106 Ne01e9a00298241b68f888416c9a2f662 schema:name pubmed_id
107 schema:value 28924157
108 rdf:type schema:PropertyValue
109 Ned9c063073bb4a8eb79feb3bf575286f schema:issueNumber 1
110 rdf:type schema:PublicationIssue
111 Nf5dfa04724c74cf5acbf03dd35c4e8cd rdf:first sg:person.0605173222.75
112 rdf:rest Nbd6679e51ff54278a11f4417f9d30c7e
113 Nf7206f4482b3427ab173f802610f62ae rdf:first sg:person.01234207421.50
114 rdf:rest rdf:nil
115 Nf80cd63f6cf24ae9958529c10fe971ca rdf:first sg:person.0733730706.32
116 rdf:rest N68ec444fe451420ebf0f3c1c1de9ff59
117 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
118 schema:name Medical and Health Sciences
119 rdf:type schema:DefinedTerm
120 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
121 schema:name Clinical Sciences
122 rdf:type schema:DefinedTerm
123 sg:grant.7478599 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-017-11906-6
124 rdf:type schema:MonetaryGrant
125 sg:journal.1045337 schema:issn 2045-2322
126 schema:name Scientific Reports
127 rdf:type schema:Periodical
128 sg:person.01004166554.54 schema:affiliation https://www.grid.ac/institutes/grid.411947.e
129 schema:familyName Kim
130 schema:givenName Mee-Kyoung
131 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01004166554.54
132 rdf:type schema:Person
133 sg:person.01231212026.23 schema:affiliation https://www.grid.ac/institutes/grid.411947.e
134 schema:familyName Han
135 schema:givenName Kyung-Do
136 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01231212026.23
137 rdf:type schema:Person
138 sg:person.01234207421.50 schema:affiliation https://www.grid.ac/institutes/grid.411947.e
139 schema:familyName Kwon
140 schema:givenName Hyuk-Sang
141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01234207421.50
142 rdf:type schema:Person
143 sg:person.01365525320.27 schema:affiliation N6eb78d3b9962452e8ee0f7d6976b885a
144 schema:familyName Lee
145 schema:givenName Jae-Hyuk
146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01365525320.27
147 rdf:type schema:Person
148 sg:person.016664721233.03 schema:affiliation https://www.grid.ac/institutes/grid.411947.e
149 schema:familyName Jeong
150 schema:givenName Jee-Sun
151 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016664721233.03
152 rdf:type schema:Person
153 sg:person.0605173222.75 schema:affiliation N909c61345b36435ab75e7804aff08b5d
154 schema:familyName Lee
155 schema:givenName Min-Kyung
156 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0605173222.75
157 rdf:type schema:Person
158 sg:person.0644244534.37 schema:affiliation https://www.grid.ac/institutes/grid.411947.e
159 schema:familyName Baek
160 schema:givenName Ki-Hyun
161 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0644244534.37
162 rdf:type schema:Person
163 sg:person.0654076367.44 schema:affiliation https://www.grid.ac/institutes/grid.411947.e
164 schema:familyName Hong
165 schema:givenName Oak-Kee
166 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0654076367.44
167 rdf:type schema:Person
168 sg:person.0677551246.81 schema:affiliation https://www.grid.ac/institutes/grid.411947.e
169 schema:familyName Song
170 schema:givenName Ki-Ho
171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677551246.81
172 rdf:type schema:Person
173 sg:person.0733730706.32 schema:affiliation N5aeefd9b1c024e60ad9ed352cee8a2f4
174 schema:familyName Sohn
175 schema:givenName Seo-Young
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0733730706.32
177 rdf:type schema:Person
178 sg:pub.10.1007/bf00285287 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042806935
179 https://doi.org/10.1007/bf00285287
180 rdf:type schema:CreativeWork
181 sg:pub.10.1038/kisup.2012.65 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048455185
182 https://doi.org/10.1038/kisup.2012.65
183 rdf:type schema:CreativeWork
184 sg:pub.10.1186/1471-2415-4-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003049217
185 https://doi.org/10.1186/1471-2415-4-9
186 rdf:type schema:CreativeWork
187 sg:pub.10.1186/1758-5996-3-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023180340
188 https://doi.org/10.1186/1758-5996-3-9
189 rdf:type schema:CreativeWork
190 sg:pub.10.1186/1758-5996-4-29 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029377325
191 https://doi.org/10.1186/1758-5996-4-29
192 rdf:type schema:CreativeWork
193 https://app.dimensions.ai/details/publication/pub.1074833863 schema:CreativeWork
194 https://app.dimensions.ai/details/publication/pub.1075019777 schema:CreativeWork
195 https://app.dimensions.ai/details/publication/pub.1082209256 schema:CreativeWork
196 https://doi.org/10.1001/jama.286.4.421 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042440144
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1016/j.numecd.2010.06.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010844328
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1016/j.numecd.2015.03.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021380452
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1016/j.ophtha.2008.05.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018509103
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1016/s0161-6420(03)00475-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048267271
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1016/s0161-6420(13)38012-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023274010
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1016/s0161-6420(89)32814-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017394777
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1016/s0161-6420(98)91020-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1021744248
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1016/s0272-6386(03)00826-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048623160
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1016/s0272-6386(99)70442-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032374870
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1016/s2213-8587(14)70256-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042935830
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1016/s2213-8587(15)00040-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016572051
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1053/j.ajkd.2006.12.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034813008
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1053/j.ajkd.2011.02.391 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046194690
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1093/ije/dyt228 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022837851
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1093/ndt/gfr561 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038741189
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1093/oxfordjournals.aje.a113284 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082126726
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1111/j.1464-5491.2007.02209.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1052698104
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1111/jdi.12023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044540582
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1172/jci118746 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013824506
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1210/jc.2010-0544 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064292117
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1371/journal.pone.0036718 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045040138
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1590/s0100-879x2006000800006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053556673
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1681/asn.2008030292 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028897241
243 rdf:type schema:CreativeWork
244 https://doi.org/10.2307/3350062 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070280050
245 rdf:type schema:CreativeWork
246 https://doi.org/10.2337/dc11-1909 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034742328
247 rdf:type schema:CreativeWork
248 https://doi.org/10.2337/dc11-1955 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024626390
249 rdf:type schema:CreativeWork
250 https://doi.org/10.2337/diacare.27.2007.s84 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037614429
251 rdf:type schema:CreativeWork
252 https://doi.org/10.2337/diaclin.26.2.77 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001765594
253 rdf:type schema:CreativeWork
254 https://doi.org/10.3341/kjo.2015.29.6.359 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001170330
255 rdf:type schema:CreativeWork
256 https://doi.org/10.3346/jkms.2009.24.s1.s75 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034426468
257 rdf:type schema:CreativeWork
258 https://doi.org/10.3803/enm.2016.31.2.254 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053071256
259 rdf:type schema:CreativeWork
260 https://doi.org/10.7326/0003-4819-130-6-199903160-00002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073703194
261 rdf:type schema:CreativeWork
262 https://www.grid.ac/institutes/grid.411947.e schema:alternateName Catholic University of Korea
263 schema:name Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
264 Department of Medical Statistics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
265 Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
266 rdf:type schema:Organization
 




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


...