Fasting plasma glucose and HbA1c in cardiovascular risk prediction: a sex-specific comparison in individuals without diabetes mellitus View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-01

AUTHORS

B. Schöttker, H. Müller, D. Rothenbacher, H. Brenner

ABSTRACT

AIMS/HYPOTHESIS: This study aimed to assess the cardiovascular risk of individuals with fasting plasma glucose (FPG)- and/or HbA(1c)-defined prediabetes (5.6-6.9 mmol/l and 39-47 mmol/mol [5.7-6.4%], respectively) or manifest diabetes mellitus and to evaluate whether FPG or HbA(1c) can improve risk prediction beyond that estimated by the Systematic Coronary Risk Evaluation (SCORE) chart in individuals without diabetes mellitus. METHODS: Cox regression was employed to estimate HRs for primary incident cardiovascular events (CVEs) in a cohort of 8,365 individuals aged 50-74 years. Furthermore, HbA(1c) and FPG were added individually to the variables of the SCORE and measures of model discrimination and reclassification were assessed. RESULTS: During 8 years of follow-up, 702 individuals had a primary CVE. After adjusting for conventional cardiovascular risk factors, HRs were attenuated close to one for the prediabetes groups (especially for women), whereas a 1.7- and a 1.9-fold increased risk persisted for men and women with diabetes, respectively. Extension of the SCORE variables by either FPG or HbA(1c) did not improve its predictive abilities in individuals without diabetes. There was a non-significant net reclassification improvement for men when HbA(1c) was added (2.2%, p = 0.16). CONCLUSIONS/INTERPRETATION: The increased cardiovascular risk of individuals with FPG- or HbA(1c)-defined prediabetes can mainly be explained by other cardiovascular risk factors. Adding FPG or HbA(1c) did not significantly improve CVE risk prediction by the SCORE variables in individuals without diabetes mellitus. More... »

PAGES

92-100

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00125-012-2707-x

DOI

http://dx.doi.org/10.1007/s00125-012-2707-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1003335801

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22986731


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/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "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": "Biomarkers", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Blood Glucose", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cardiovascular Diseases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cohort Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cross-Sectional Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Early Diagnosis", 
        "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": "Germany", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Glycated Hemoglobin A", 
        "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": "Longitudinal Studies", 
        "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": "Prediabetic State", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prevalence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sensitivity and Specificity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sex Factors", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "German Cancer Research Center", 
          "id": "https://www.grid.ac/institutes/grid.7497.d", 
          "name": [
            "Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 581, 69120, Heidelberg, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sch\u00f6ttker", 
        "givenName": "B.", 
        "id": "sg:person.01131325661.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131325661.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "German Cancer Research Center", 
          "id": "https://www.grid.ac/institutes/grid.7497.d", 
          "name": [
            "Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 581, 69120, Heidelberg, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "M\u00fcller", 
        "givenName": "H.", 
        "id": "sg:person.0642110571.74", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0642110571.74"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Ulm", 
          "id": "https://www.grid.ac/institutes/grid.6582.9", 
          "name": [
            "Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 581, 69120, Heidelberg, Germany", 
            "Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rothenbacher", 
        "givenName": "D.", 
        "id": "sg:person.01153404427.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01153404427.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "German Cancer Research Center", 
          "id": "https://www.grid.ac/institutes/grid.7497.d", 
          "name": [
            "Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 581, 69120, Heidelberg, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Brenner", 
        "givenName": "H.", 
        "id": "sg:person.011326267022.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011326267022.83"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00125-005-1730-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000393920", 
          "https://doi.org/10.1007/s00125-005-1730-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-005-1730-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000393920", 
          "https://doi.org/10.1007/s00125-005-1730-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-005-1730-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000393920", 
          "https://doi.org/10.1007/s00125-005-1730-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10654-011-9619-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002108464", 
          "https://doi.org/10.1007/s10654-011-9619-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/dc10-1581", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004706462"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circulationaha.106.672402", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006648149"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/dc10-0679", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006878192"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-005-0019-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007534890", 
          "https://doi.org/10.1007/s00125-005-0019-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-005-0019-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007534890", 
          "https://doi.org/10.1007/s00125-005-0019-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-005-0019-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007534890", 
          "https://doi.org/10.1007/s00125-005-0019-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/14651858.cd001561.pub3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008649278"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pmed.1000278", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008801434"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/dc12-s064", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010491630"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archinternmed.2011.2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010728882"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/dc07-9925", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011350112"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(08)60766-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015125310"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/dc10-0262", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016620512"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.amjcard.2009.04.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017843118"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1742-1241.2010.02469.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019278346"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1742-1241.2010.02469.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019278346"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archinte.163.14.1735", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023738795"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/dc10-0752", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024082714"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1464-5491.2010.02921.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025620593"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/b:lida.0000036393.29224.1d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027297426", 
          "https://doi.org/10.1023/b:lida.0000036393.29224.1d"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1309/ajcpjbg0wyrahn0r", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027931789"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jacc.2009.10.060", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032864165"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-011-2077-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035924247", 
          "https://doi.org/10.1007/s00125-011-2077-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-011-2077-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035924247", 
          "https://doi.org/10.1007/s00125-011-2077-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archinte.168.11.1209", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036546421"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa0908359", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038526024"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/sim.2929", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044960408"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/dc10-s011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048430528"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(10)60484-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050271356"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0195-668x(03)00114-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054625367"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1055/s-2004-836089", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057439569"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/hjr.0b013e3282eeb308", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060341387"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/hjr.0b013e3282eeb308", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060341387"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/hjr.0b013e3283213140", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060341551"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/hjr.0b013e3283213140", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060341551"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/0003-4819-141-6-200409210-00007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073707654"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077629893", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078033777", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-01", 
    "datePublishedReg": "2013-01-01", 
    "description": "AIMS/HYPOTHESIS: This study aimed to assess the cardiovascular risk of individuals with fasting plasma glucose (FPG)- and/or HbA(1c)-defined prediabetes (5.6-6.9 mmol/l and 39-47 mmol/mol [5.7-6.4%], respectively) or manifest diabetes mellitus and to evaluate whether FPG or HbA(1c) can improve risk prediction beyond that estimated by the Systematic Coronary Risk Evaluation (SCORE) chart in individuals without diabetes mellitus.\nMETHODS: Cox regression was employed to estimate HRs for primary incident cardiovascular events (CVEs) in a cohort of 8,365 individuals aged 50-74 years. Furthermore, HbA(1c) and FPG were added individually to the variables of the SCORE and measures of model discrimination and reclassification were assessed.\nRESULTS: During 8 years of follow-up, 702 individuals had a primary CVE. After adjusting for conventional cardiovascular risk factors, HRs were attenuated close to one for the prediabetes groups (especially for women), whereas a 1.7- and a 1.9-fold increased risk persisted for men and women with diabetes, respectively. Extension of the SCORE variables by either FPG or HbA(1c) did not improve its predictive abilities in individuals without diabetes. There was a non-significant net reclassification improvement for men when HbA(1c) was added (2.2%, p = 0.16).\nCONCLUSIONS/INTERPRETATION: The increased cardiovascular risk of individuals with FPG- or HbA(1c)-defined prediabetes can mainly be explained by other cardiovascular risk factors. Adding FPG or HbA(1c) did not significantly improve CVE risk prediction by the SCORE variables in individuals without diabetes mellitus.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00125-012-2707-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1001482", 
        "issn": [
          "0012-186X", 
          "1432-0428"
        ], 
        "name": "Diabetologia", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "56"
      }
    ], 
    "name": "Fasting plasma glucose and HbA1c in cardiovascular risk prediction: a sex-specific comparison in individuals without diabetes mellitus", 
    "pagination": "92-100", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "0fe3ebf605221e787c472e563c2770b19fd7fafc2a96e5223349c738917fa527"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "22986731"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0006777"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00125-012-2707-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1003335801"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00125-012-2707-x", 
      "https://app.dimensions.ai/details/publication/pub.1003335801"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:02", 
    "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/v90/0000000347_0000000347/records_89822_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00125-012-2707-x"
  }
]
 

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/s00125-012-2707-x'

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/s00125-012-2707-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00125-012-2707-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00125-012-2707-x'


 

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

287 TRIPLES      21 PREDICATES      85 URIs      43 LITERALS      31 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00125-012-2707-x schema:about N085acb0965394a66a7972f5bc2c49b15
2 N2932a785abbe45138d5143436483a048
3 N327ab6a263014b7798541954b94a2e64
4 N34f59f2242df491c92e85b9af7c96a62
5 N3775211f59f34ce991fb443578958b9b
6 N52e1c01e8bb341b994d44d19e23cf061
7 N63f43e79e9244a2c844d1d2272118d6d
8 N6785b2ca948d4f379c601ea86a3f1981
9 N7e6f2a0ead6a493ba40ecdc212032e40
10 N812a7d3dda0047b8816b835732df73fa
11 N8a8043aafd504cc48f81ee2dd7dc33c3
12 N8b54ed6d5e514b33909600638d5487fd
13 N8ba13f77893541c782c0f7b242a10065
14 N9282d38886814ff9826379c278246ce0
15 N93ef4b6d492d474c921e55a527dc1795
16 N95f0a2fe1d864364b03d0287027a282b
17 N9bf32bbe303c4506a3c74409c764f725
18 Na1df878972644e859c787e6b1760d846
19 Na232c7a7296a4bad845178ada224055b
20 Na5b52414beea44d49a6ccf32e50359f6
21 Na99b18101c5f4ab885c7631a34c8ca6f
22 Nfd447beecde54f88b313b237ccc780e2
23 anzsrc-for:11
24 anzsrc-for:1117
25 schema:author Ne5d41a1177364f20b4b4ee0b88746a1f
26 schema:citation sg:pub.10.1007/s00125-005-0019-0
27 sg:pub.10.1007/s00125-005-1730-6
28 sg:pub.10.1007/s00125-011-2077-9
29 sg:pub.10.1007/s10654-011-9619-9
30 sg:pub.10.1023/b:lida.0000036393.29224.1d
31 https://app.dimensions.ai/details/publication/pub.1077629893
32 https://app.dimensions.ai/details/publication/pub.1078033777
33 https://doi.org/10.1001/archinte.163.14.1735
34 https://doi.org/10.1001/archinte.168.11.1209
35 https://doi.org/10.1001/archinternmed.2011.2
36 https://doi.org/10.1002/14651858.cd001561.pub3
37 https://doi.org/10.1002/sim.2929
38 https://doi.org/10.1016/j.amjcard.2009.04.020
39 https://doi.org/10.1016/j.jacc.2009.10.060
40 https://doi.org/10.1016/s0140-6736(08)60766-7
41 https://doi.org/10.1016/s0140-6736(10)60484-9
42 https://doi.org/10.1016/s0195-668x(03)00114-3
43 https://doi.org/10.1055/s-2004-836089
44 https://doi.org/10.1056/nejmoa0908359
45 https://doi.org/10.1097/hjr.0b013e3282eeb308
46 https://doi.org/10.1097/hjr.0b013e3283213140
47 https://doi.org/10.1111/j.1464-5491.2010.02921.x
48 https://doi.org/10.1111/j.1742-1241.2010.02469.x
49 https://doi.org/10.1161/circulationaha.106.672402
50 https://doi.org/10.1309/ajcpjbg0wyrahn0r
51 https://doi.org/10.1371/journal.pmed.1000278
52 https://doi.org/10.2337/dc07-9925
53 https://doi.org/10.2337/dc10-0262
54 https://doi.org/10.2337/dc10-0679
55 https://doi.org/10.2337/dc10-0752
56 https://doi.org/10.2337/dc10-1581
57 https://doi.org/10.2337/dc10-s011
58 https://doi.org/10.2337/dc12-s064
59 https://doi.org/10.7326/0003-4819-141-6-200409210-00007
60 schema:datePublished 2013-01
61 schema:datePublishedReg 2013-01-01
62 schema:description AIMS/HYPOTHESIS: This study aimed to assess the cardiovascular risk of individuals with fasting plasma glucose (FPG)- and/or HbA(1c)-defined prediabetes (5.6-6.9 mmol/l and 39-47 mmol/mol [5.7-6.4%], respectively) or manifest diabetes mellitus and to evaluate whether FPG or HbA(1c) can improve risk prediction beyond that estimated by the Systematic Coronary Risk Evaluation (SCORE) chart in individuals without diabetes mellitus. METHODS: Cox regression was employed to estimate HRs for primary incident cardiovascular events (CVEs) in a cohort of 8,365 individuals aged 50-74 years. Furthermore, HbA(1c) and FPG were added individually to the variables of the SCORE and measures of model discrimination and reclassification were assessed. RESULTS: During 8 years of follow-up, 702 individuals had a primary CVE. After adjusting for conventional cardiovascular risk factors, HRs were attenuated close to one for the prediabetes groups (especially for women), whereas a 1.7- and a 1.9-fold increased risk persisted for men and women with diabetes, respectively. Extension of the SCORE variables by either FPG or HbA(1c) did not improve its predictive abilities in individuals without diabetes. There was a non-significant net reclassification improvement for men when HbA(1c) was added (2.2%, p = 0.16). CONCLUSIONS/INTERPRETATION: The increased cardiovascular risk of individuals with FPG- or HbA(1c)-defined prediabetes can mainly be explained by other cardiovascular risk factors. Adding FPG or HbA(1c) did not significantly improve CVE risk prediction by the SCORE variables in individuals without diabetes mellitus.
63 schema:genre research_article
64 schema:inLanguage en
65 schema:isAccessibleForFree true
66 schema:isPartOf N374b3346e9ad4b7b9bfbc8b10c617553
67 N9fec5f932384495eafa1aed15ce9fcd3
68 sg:journal.1001482
69 schema:name Fasting plasma glucose and HbA1c in cardiovascular risk prediction: a sex-specific comparison in individuals without diabetes mellitus
70 schema:pagination 92-100
71 schema:productId N2bbf57cfd18a4c458d1099c2275dd149
72 N94c54672af3e401591a69735a2001bcc
73 N99d3da11e1ea4b13b940f4f3721e7613
74 Na04222fd018c489d9f0458ad8ba8a352
75 Na5d3edaa53fb4e9d9fb93d200025da25
76 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003335801
77 https://doi.org/10.1007/s00125-012-2707-x
78 schema:sdDatePublished 2019-04-11T10:02
79 schema:sdLicense https://scigraph.springernature.com/explorer/license/
80 schema:sdPublisher N24b0b21a88f74b2b96148829d43a50ba
81 schema:url https://link.springer.com/10.1007%2Fs00125-012-2707-x
82 sgo:license sg:explorer/license/
83 sgo:sdDataset articles
84 rdf:type schema:ScholarlyArticle
85 N085acb0965394a66a7972f5bc2c49b15 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name Sex Factors
87 rdf:type schema:DefinedTerm
88 N24b0b21a88f74b2b96148829d43a50ba schema:name Springer Nature - SN SciGraph project
89 rdf:type schema:Organization
90 N28cf3f0bd5014e419f91670f06073a98 rdf:first sg:person.0642110571.74
91 rdf:rest N67165c1ade4947b49d3c900c96e1b561
92 N2932a785abbe45138d5143436483a048 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Germany
94 rdf:type schema:DefinedTerm
95 N2bbf57cfd18a4c458d1099c2275dd149 schema:name dimensions_id
96 schema:value pub.1003335801
97 rdf:type schema:PropertyValue
98 N32678e7ac1be417cb721271cbc3d3628 rdf:first sg:person.011326267022.83
99 rdf:rest rdf:nil
100 N327ab6a263014b7798541954b94a2e64 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Biomarkers
102 rdf:type schema:DefinedTerm
103 N34f59f2242df491c92e85b9af7c96a62 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Cross-Sectional Studies
105 rdf:type schema:DefinedTerm
106 N374b3346e9ad4b7b9bfbc8b10c617553 schema:volumeNumber 56
107 rdf:type schema:PublicationVolume
108 N3775211f59f34ce991fb443578958b9b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Male
110 rdf:type schema:DefinedTerm
111 N52e1c01e8bb341b994d44d19e23cf061 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Cohort Studies
113 rdf:type schema:DefinedTerm
114 N63f43e79e9244a2c844d1d2272118d6d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Middle Aged
116 rdf:type schema:DefinedTerm
117 N67165c1ade4947b49d3c900c96e1b561 rdf:first sg:person.01153404427.25
118 rdf:rest N32678e7ac1be417cb721271cbc3d3628
119 N6785b2ca948d4f379c601ea86a3f1981 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Prevalence
121 rdf:type schema:DefinedTerm
122 N7e6f2a0ead6a493ba40ecdc212032e40 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Follow-Up Studies
124 rdf:type schema:DefinedTerm
125 N812a7d3dda0047b8816b835732df73fa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Risk Factors
127 rdf:type schema:DefinedTerm
128 N8a8043aafd504cc48f81ee2dd7dc33c3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Sensitivity and Specificity
130 rdf:type schema:DefinedTerm
131 N8b54ed6d5e514b33909600638d5487fd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Female
133 rdf:type schema:DefinedTerm
134 N8ba13f77893541c782c0f7b242a10065 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Aged, 80 and over
136 rdf:type schema:DefinedTerm
137 N9282d38886814ff9826379c278246ce0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Blood Glucose
139 rdf:type schema:DefinedTerm
140 N93ef4b6d492d474c921e55a527dc1795 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Early Diagnosis
142 rdf:type schema:DefinedTerm
143 N94c54672af3e401591a69735a2001bcc schema:name pubmed_id
144 schema:value 22986731
145 rdf:type schema:PropertyValue
146 N95f0a2fe1d864364b03d0287027a282b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Cardiovascular Diseases
148 rdf:type schema:DefinedTerm
149 N99d3da11e1ea4b13b940f4f3721e7613 schema:name readcube_id
150 schema:value 0fe3ebf605221e787c472e563c2770b19fd7fafc2a96e5223349c738917fa527
151 rdf:type schema:PropertyValue
152 N9bf32bbe303c4506a3c74409c764f725 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Prediabetic State
154 rdf:type schema:DefinedTerm
155 N9fec5f932384495eafa1aed15ce9fcd3 schema:issueNumber 1
156 rdf:type schema:PublicationIssue
157 Na04222fd018c489d9f0458ad8ba8a352 schema:name nlm_unique_id
158 schema:value 0006777
159 rdf:type schema:PropertyValue
160 Na1df878972644e859c787e6b1760d846 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Glycated Hemoglobin A
162 rdf:type schema:DefinedTerm
163 Na232c7a7296a4bad845178ada224055b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
164 schema:name Longitudinal Studies
165 rdf:type schema:DefinedTerm
166 Na5b52414beea44d49a6ccf32e50359f6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
167 schema:name Incidence
168 rdf:type schema:DefinedTerm
169 Na5d3edaa53fb4e9d9fb93d200025da25 schema:name doi
170 schema:value 10.1007/s00125-012-2707-x
171 rdf:type schema:PropertyValue
172 Na99b18101c5f4ab885c7631a34c8ca6f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
173 schema:name Aged
174 rdf:type schema:DefinedTerm
175 Ne5d41a1177364f20b4b4ee0b88746a1f rdf:first sg:person.01131325661.38
176 rdf:rest N28cf3f0bd5014e419f91670f06073a98
177 Nfd447beecde54f88b313b237ccc780e2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
178 schema:name Humans
179 rdf:type schema:DefinedTerm
180 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
181 schema:name Medical and Health Sciences
182 rdf:type schema:DefinedTerm
183 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
184 schema:name Public Health and Health Services
185 rdf:type schema:DefinedTerm
186 sg:journal.1001482 schema:issn 0012-186X
187 1432-0428
188 schema:name Diabetologia
189 rdf:type schema:Periodical
190 sg:person.01131325661.38 schema:affiliation https://www.grid.ac/institutes/grid.7497.d
191 schema:familyName Schöttker
192 schema:givenName B.
193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131325661.38
194 rdf:type schema:Person
195 sg:person.011326267022.83 schema:affiliation https://www.grid.ac/institutes/grid.7497.d
196 schema:familyName Brenner
197 schema:givenName H.
198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011326267022.83
199 rdf:type schema:Person
200 sg:person.01153404427.25 schema:affiliation https://www.grid.ac/institutes/grid.6582.9
201 schema:familyName Rothenbacher
202 schema:givenName D.
203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01153404427.25
204 rdf:type schema:Person
205 sg:person.0642110571.74 schema:affiliation https://www.grid.ac/institutes/grid.7497.d
206 schema:familyName Müller
207 schema:givenName H.
208 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0642110571.74
209 rdf:type schema:Person
210 sg:pub.10.1007/s00125-005-0019-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007534890
211 https://doi.org/10.1007/s00125-005-0019-0
212 rdf:type schema:CreativeWork
213 sg:pub.10.1007/s00125-005-1730-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000393920
214 https://doi.org/10.1007/s00125-005-1730-6
215 rdf:type schema:CreativeWork
216 sg:pub.10.1007/s00125-011-2077-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035924247
217 https://doi.org/10.1007/s00125-011-2077-9
218 rdf:type schema:CreativeWork
219 sg:pub.10.1007/s10654-011-9619-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002108464
220 https://doi.org/10.1007/s10654-011-9619-9
221 rdf:type schema:CreativeWork
222 sg:pub.10.1023/b:lida.0000036393.29224.1d schema:sameAs https://app.dimensions.ai/details/publication/pub.1027297426
223 https://doi.org/10.1023/b:lida.0000036393.29224.1d
224 rdf:type schema:CreativeWork
225 https://app.dimensions.ai/details/publication/pub.1077629893 schema:CreativeWork
226 https://app.dimensions.ai/details/publication/pub.1078033777 schema:CreativeWork
227 https://doi.org/10.1001/archinte.163.14.1735 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023738795
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1001/archinte.168.11.1209 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036546421
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1001/archinternmed.2011.2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010728882
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1002/14651858.cd001561.pub3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008649278
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1002/sim.2929 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044960408
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1016/j.amjcard.2009.04.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017843118
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1016/j.jacc.2009.10.060 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032864165
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1016/s0140-6736(08)60766-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015125310
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1016/s0140-6736(10)60484-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050271356
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1016/s0195-668x(03)00114-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054625367
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1055/s-2004-836089 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057439569
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1056/nejmoa0908359 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038526024
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1097/hjr.0b013e3282eeb308 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060341387
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1097/hjr.0b013e3283213140 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060341551
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1111/j.1464-5491.2010.02921.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1025620593
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1111/j.1742-1241.2010.02469.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1019278346
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1161/circulationaha.106.672402 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006648149
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1309/ajcpjbg0wyrahn0r schema:sameAs https://app.dimensions.ai/details/publication/pub.1027931789
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1371/journal.pmed.1000278 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008801434
264 rdf:type schema:CreativeWork
265 https://doi.org/10.2337/dc07-9925 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011350112
266 rdf:type schema:CreativeWork
267 https://doi.org/10.2337/dc10-0262 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016620512
268 rdf:type schema:CreativeWork
269 https://doi.org/10.2337/dc10-0679 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006878192
270 rdf:type schema:CreativeWork
271 https://doi.org/10.2337/dc10-0752 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024082714
272 rdf:type schema:CreativeWork
273 https://doi.org/10.2337/dc10-1581 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004706462
274 rdf:type schema:CreativeWork
275 https://doi.org/10.2337/dc10-s011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048430528
276 rdf:type schema:CreativeWork
277 https://doi.org/10.2337/dc12-s064 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010491630
278 rdf:type schema:CreativeWork
279 https://doi.org/10.7326/0003-4819-141-6-200409210-00007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073707654
280 rdf:type schema:CreativeWork
281 https://www.grid.ac/institutes/grid.6582.9 schema:alternateName University of Ulm
282 schema:name Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
283 Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
284 rdf:type schema:Organization
285 https://www.grid.ac/institutes/grid.7497.d schema:alternateName German Cancer Research Center
286 schema:name Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
287 rdf:type schema:Organization
 




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


...