Cardiovascular risk algorithms in primary care: Results from the DETECT study View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Tanja B. Grammer, Alexander Dressel, Ingrid Gergei, Marcus E. Kleber, Ulrich Laufs, Hubert Scharnagl, Uwe Nixdorff, Jens Klotsche, Lars Pieper, David Pittrow, Sigmund Silber, Hans-Ulrich Wittchen, Winfried März

ABSTRACT

Guidelines for prevention of cardiovascular diseases use risk scores to guide the intensity of treatment. A comparison of these scores in a German population has not been performed. We have evaluated the correlation, discrimination and calibration of ten commonly used risk equations in primary care in 4044 participants of the DETECT (Diabetes and Cardiovascular Risk Evaluation: Targets and Essential Data for Commitment of Treatment) study. The risk equations correlate well with each other. All risk equations have a similar discriminatory power. Absolute risks differ widely, in part due to the components of clinical endpoints predicted: The risk equations produced median risks between 8.4% and 2.0%. With three out of 10 risk scores calculated and observed risks well coincided. At a risk threshold of 10 percent in 10 years, the ACC/AHA atherosclerotic cardiovascular disease (ASCVD) equation has a sensitivity to identify future CVD events of approximately 80%, with the highest specificity (69%) and positive predictive value (17%) among all the equations. Due to the most precise calibration over a wide range of risks, the large age range covered and the combined endpoint including non-fatal and fatal events, the ASCVD equation provides valid risk prediction for primary prevention in Germany. More... »

PAGES

1101

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-018-37092-7

DOI

http://dx.doi.org/10.1038/s41598-018-37092-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111774155

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30705337


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Heidelberg University", 
          "id": "https://www.grid.ac/institutes/grid.7700.0", 
          "name": [
            "University of Heidelberg, Mannheim Medical Faculty, Mannheim Institute of Public Health, Social and Preventive Medicine, Mannheim, Germany", 
            "University of Heidelberg, Mannheim Medical Faculty, Department of Internal Medicine V (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Mannheim, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Grammer", 
        "givenName": "Tanja B.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Heidelberg University", 
          "id": "https://www.grid.ac/institutes/grid.7700.0", 
          "name": [
            "University of Heidelberg, Mannheim Medical Faculty, Department of Internal Medicine V (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Mannheim, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dressel", 
        "givenName": "Alexander", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Heidelberg University", 
          "id": "https://www.grid.ac/institutes/grid.7700.0", 
          "name": [
            "University of Heidelberg, Mannheim Medical Faculty, Department of Internal Medicine V (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Mannheim, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gergei", 
        "givenName": "Ingrid", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Heidelberg University", 
          "id": "https://www.grid.ac/institutes/grid.7700.0", 
          "name": [
            "University of Heidelberg, Mannheim Medical Faculty, Department of Internal Medicine V (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Mannheim, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kleber", 
        "givenName": "Marcus E.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University Hospital Leipzig", 
          "id": "https://www.grid.ac/institutes/grid.411339.d", 
          "name": [
            "Clinic and Polyclinic of Cardiology, University Clinic Leipzig, Leipzig, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Laufs", 
        "givenName": "Ulrich", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Medical University of Graz", 
          "id": "https://www.grid.ac/institutes/grid.11598.34", 
          "name": [
            "Medical University of Graz, Clinical Institute of Medical and Chemical Laboratory Diagnostics, Graz, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Scharnagl", 
        "givenName": "Hubert", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "European Prevention Center, EPC GmbH, D\u00fcsseldorf, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nixdorff", 
        "givenName": "Uwe", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "German Research Center of Rheumatology Berlin, Leibnitz Institute, Berlin, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Klotsche", 
        "givenName": "Jens", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Charit\u00e9", 
          "id": "https://www.grid.ac/institutes/grid.6363.0", 
          "name": [
            "Charit\u00e9 Universit\u00e4tsmedizin Berlin, Institute of Social Medicine, Epidemiology and Health Economics, Berlin, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pieper", 
        "givenName": "Lars", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "TU Dresden", 
          "id": "https://www.grid.ac/institutes/grid.4488.0", 
          "name": [
            "Technical University Dresden, Medical Faculty, Institute of Clinical Pharmacology, Dresden, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pittrow", 
        "givenName": "David", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Cardiology Outpatient Clinic Tal, Munich, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Silber", 
        "givenName": "Sigmund", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Max Planck Institute of Psychiatry", 
          "id": "https://www.grid.ac/institutes/grid.419548.5", 
          "name": [
            "Technical University Dresden, Institute of Clinical Psychology and Psychotherapy, Dresden, Germany", 
            "Max-Planck- Institute of Psychiatry, Munich, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wittchen", 
        "givenName": "Hans-Ulrich", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Medical University of Graz", 
          "id": "https://www.grid.ac/institutes/grid.11598.34", 
          "name": [
            "University of Heidelberg, Mannheim Medical Faculty, Department of Internal Medicine V (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Mannheim, Germany", 
            "Medical University of Graz, Clinical Institute of Medical and Chemical Laboratory Diagnostics, Graz, Austria", 
            "Synlab Services GmbH, Synlab Academy, Mannheim, Augsburg, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "M\u00e4rz", 
        "givenName": "Winfried", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1097/mol.0000000000000095", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001423772"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mol.0000000000000095", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001423772"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/hrt.2006.108167", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001798991"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1515/reveh.1996.11.1-2.15", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004563735"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/hc0302.102575", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005321039"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ije/dyh405", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011319683"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/jhh.2014.82", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012571607", 
          "https://doi.org/10.1038/jhh.2014.82"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/eurheartj/ehs092", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013182064"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.cir.97.18.1837", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013788536"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004872-200403000-00009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016703156"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004872-200403000-00009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016703156"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/1047-2797(91)90005-w", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016888698"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/heartjnl-2014-305693", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017980936"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/08037051.2014.868629", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018389745"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.297.6.611", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018417876"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.2014.2630", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020205137"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.2014.2632", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024726585"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.39609.449676.25", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025756262"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.cir.0000437738.63853.7a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027019079"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.cir.0000437738.63853.7a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027019079"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.cir.0000437741.48606.98", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027254145"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.cir.0000437741.48606.98", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027254145"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.289.18.2363", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027820278"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mayocp.2016.03.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031923127"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1185/030079905x38187", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032769634"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circulationaha.108.814251", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035258591"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.cir.0000133317.49796.0e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035818241"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/sim.4085", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037258459"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/sim.4085", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037258459"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0895-4356(88)90080-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037439545"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1515/reveh.1996.11.1-2.7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039536582"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1749-6632.1963.tb13299.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040351491"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(13)62388-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040636083"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/eurheartj/ehw106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041809009"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1042/cs1010671", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042308723"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1042/cs1010671", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042308723"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/dc10-s062", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042714871"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0164688", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042853338"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circulationaha.107.699579", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043867491"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.282.6279.1847", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043948879"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/eurheartj/ehw272", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048191967"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2362.2007.01888.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048282915"
        ], 
        "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/10.1016/j.amjhyper.2004.05.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054726723"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.aje.a115184", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059958072"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/hjr.0b013e328334ea70", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060341675"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/hjr.0b013e328334ea70", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060341675"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/l15-5105-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073741856"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/m16-1739", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073743122"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circ.106.25.3143", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1075204771"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1076627395", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.aje.a112813", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1080564119"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(17)32152-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091782841"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/m17-0681", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100177929"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/m17-0681", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100177929"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "Guidelines for prevention of cardiovascular diseases use risk scores to guide the intensity of treatment. A comparison of these scores in a German population has not been performed. We have evaluated the correlation, discrimination and calibration of ten commonly used risk equations in primary care in 4044 participants of the DETECT (Diabetes and Cardiovascular Risk Evaluation: Targets and Essential Data for Commitment of Treatment) study. The risk equations correlate well with each other. All risk equations have a similar discriminatory power. Absolute risks differ widely, in part due to the components of clinical endpoints predicted: The risk equations produced median risks between 8.4% and 2.0%. With three out of 10 risk scores calculated and observed risks well coincided. At a risk threshold of 10 percent in 10 years, the ACC/AHA atherosclerotic cardiovascular disease (ASCVD) equation has a sensitivity to identify future CVD events of approximately 80%, with the highest specificity (69%) and positive predictive value (17%) among all the equations. Due to the most precise calibration over a wide range of risks, the large age range covered and the combined endpoint including non-fatal and fatal events, the ASCVD equation provides valid risk prediction for primary prevention in Germany.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-018-37092-7", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "9"
      }
    ], 
    "name": "Cardiovascular risk algorithms in primary care: Results from the DETECT study", 
    "pagination": "1101", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "698b3b80c3eb5e8ce05c295985279edf66bae7ab9838f0c49947db620ca7d358"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30705337"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-018-37092-7"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111774155"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-018-37092-7", 
      "https://app.dimensions.ai/details/publication/pub.1111774155"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:00", 
    "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/v90/0000000329_0000000329/records_74668_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41598-018-37092-7"
  }
]
 

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/s41598-018-37092-7'

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/s41598-018-37092-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-37092-7'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-37092-7'


 

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

305 TRIPLES      21 PREDICATES      76 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-018-37092-7 schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author Ncda3af1175c44a88a5462c1b5ab898a4
4 schema:citation sg:pub.10.1038/jhh.2014.82
5 https://app.dimensions.ai/details/publication/pub.1076627395
6 https://doi.org/10.1001/jama.2014.2630
7 https://doi.org/10.1001/jama.2014.2632
8 https://doi.org/10.1001/jama.289.18.2363
9 https://doi.org/10.1001/jama.297.6.611
10 https://doi.org/10.1002/sim.4085
11 https://doi.org/10.1016/0895-4356(88)90080-7
12 https://doi.org/10.1016/1047-2797(91)90005-w
13 https://doi.org/10.1016/j.amjhyper.2004.05.017
14 https://doi.org/10.1016/j.mayocp.2016.03.019
15 https://doi.org/10.1016/s0140-6736(13)62388-0
16 https://doi.org/10.1016/s0140-6736(17)32152-9
17 https://doi.org/10.1016/s0195-668x(03)00114-3
18 https://doi.org/10.1042/cs1010671
19 https://doi.org/10.1093/eurheartj/ehs092
20 https://doi.org/10.1093/eurheartj/ehw106
21 https://doi.org/10.1093/eurheartj/ehw272
22 https://doi.org/10.1093/ije/dyh405
23 https://doi.org/10.1093/oxfordjournals.aje.a112813
24 https://doi.org/10.1093/oxfordjournals.aje.a115184
25 https://doi.org/10.1097/00004872-200403000-00009
26 https://doi.org/10.1097/hjr.0b013e328334ea70
27 https://doi.org/10.1097/mol.0000000000000095
28 https://doi.org/10.1111/j.1365-2362.2007.01888.x
29 https://doi.org/10.1111/j.1749-6632.1963.tb13299.x
30 https://doi.org/10.1136/bmj.282.6279.1847
31 https://doi.org/10.1136/bmj.39609.449676.25
32 https://doi.org/10.1136/heartjnl-2014-305693
33 https://doi.org/10.1136/hrt.2006.108167
34 https://doi.org/10.1161/01.cir.0000133317.49796.0e
35 https://doi.org/10.1161/01.cir.0000437738.63853.7a
36 https://doi.org/10.1161/01.cir.0000437741.48606.98
37 https://doi.org/10.1161/01.cir.97.18.1837
38 https://doi.org/10.1161/circ.106.25.3143
39 https://doi.org/10.1161/circulationaha.107.699579
40 https://doi.org/10.1161/circulationaha.108.814251
41 https://doi.org/10.1161/hc0302.102575
42 https://doi.org/10.1185/030079905x38187
43 https://doi.org/10.1371/journal.pone.0164688
44 https://doi.org/10.1515/reveh.1996.11.1-2.15
45 https://doi.org/10.1515/reveh.1996.11.1-2.7
46 https://doi.org/10.2337/dc10-s062
47 https://doi.org/10.3109/08037051.2014.868629
48 https://doi.org/10.7326/l15-5105-2
49 https://doi.org/10.7326/m16-1739
50 https://doi.org/10.7326/m17-0681
51 schema:datePublished 2019-12
52 schema:datePublishedReg 2019-12-01
53 schema:description Guidelines for prevention of cardiovascular diseases use risk scores to guide the intensity of treatment. A comparison of these scores in a German population has not been performed. We have evaluated the correlation, discrimination and calibration of ten commonly used risk equations in primary care in 4044 participants of the DETECT (Diabetes and Cardiovascular Risk Evaluation: Targets and Essential Data for Commitment of Treatment) study. The risk equations correlate well with each other. All risk equations have a similar discriminatory power. Absolute risks differ widely, in part due to the components of clinical endpoints predicted: The risk equations produced median risks between 8.4% and 2.0%. With three out of 10 risk scores calculated and observed risks well coincided. At a risk threshold of 10 percent in 10 years, the ACC/AHA atherosclerotic cardiovascular disease (ASCVD) equation has a sensitivity to identify future CVD events of approximately 80%, with the highest specificity (69%) and positive predictive value (17%) among all the equations. Due to the most precise calibration over a wide range of risks, the large age range covered and the combined endpoint including non-fatal and fatal events, the ASCVD equation provides valid risk prediction for primary prevention in Germany.
54 schema:genre research_article
55 schema:inLanguage en
56 schema:isAccessibleForFree true
57 schema:isPartOf N26b4617c35fc4e9cb25ff34eb0b2e07e
58 Nda3e70e71c504fe6b7d5caa10be18cc7
59 sg:journal.1045337
60 schema:name Cardiovascular risk algorithms in primary care: Results from the DETECT study
61 schema:pagination 1101
62 schema:productId N3d362d52fd36491a8adcfdbe91fe5a4b
63 Na6f688811a0f42b187dd3e489cef8fb3
64 Nc1a426cd6de24a9882dec075c7acf659
65 Nf48785e75c62465fad0c1bd76be9e139
66 Nf6620b1231874c39b1da6a74479bfc75
67 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111774155
68 https://doi.org/10.1038/s41598-018-37092-7
69 schema:sdDatePublished 2019-04-11T09:00
70 schema:sdLicense https://scigraph.springernature.com/explorer/license/
71 schema:sdPublisher Nc0e2ed260fbb4e1684af63f0194dd064
72 schema:url https://www.nature.com/articles/s41598-018-37092-7
73 sgo:license sg:explorer/license/
74 sgo:sdDataset articles
75 rdf:type schema:ScholarlyArticle
76 N05072f91375f4867b21d94ca87698583 rdf:first N4f2d972e98f241d49c53151cd6aaa790
77 rdf:rest Ncbc2025c7af846dbb0b9706f4bfc4689
78 N1054a03ad02d45f8b12a4c3c425c58b0 schema:affiliation https://www.grid.ac/institutes/grid.11598.34
79 schema:familyName März
80 schema:givenName Winfried
81 rdf:type schema:Person
82 N1274ef41e2fd4f3ca64eea499f1a25fe schema:affiliation https://www.grid.ac/institutes/grid.7700.0
83 schema:familyName Dressel
84 schema:givenName Alexander
85 rdf:type schema:Person
86 N183e6eb6506e459983fc7524a847684c schema:affiliation N1e1cbdcd822c46a993b67fb9a39c7540
87 schema:familyName Nixdorff
88 schema:givenName Uwe
89 rdf:type schema:Person
90 N1e1cbdcd822c46a993b67fb9a39c7540 schema:name European Prevention Center, EPC GmbH, Düsseldorf, Germany
91 rdf:type schema:Organization
92 N26b4617c35fc4e9cb25ff34eb0b2e07e schema:volumeNumber 9
93 rdf:type schema:PublicationVolume
94 N3b8cf5a2d12c469190087139f3325ea8 schema:affiliation https://www.grid.ac/institutes/grid.419548.5
95 schema:familyName Wittchen
96 schema:givenName Hans-Ulrich
97 rdf:type schema:Person
98 N3d362d52fd36491a8adcfdbe91fe5a4b schema:name readcube_id
99 schema:value 698b3b80c3eb5e8ce05c295985279edf66bae7ab9838f0c49947db620ca7d358
100 rdf:type schema:PropertyValue
101 N4730bb58cc8d4312828c05d095f6cfc4 rdf:first Nded9193abf9f410c9b59938330de8fa0
102 rdf:rest Nfd63f4413a74448c8abb345fcd3d8226
103 N4ca6c6f39c0a45f8ba608158fac7df23 rdf:first Na038e85f6591424f8324b73fb804f6a1
104 rdf:rest Na39f9e1d7ee840c0a0a3c20c3f9ec730
105 N4dae7d60e53c44239218c9466428358b rdf:first N4fba39061af14662bd36964e405d6c61
106 rdf:rest N4f3fe39e8675470aa65c307ce6dda6e9
107 N4f2d972e98f241d49c53151cd6aaa790 schema:affiliation Ne319429e97c243bb814b30772ec63f21
108 schema:familyName Klotsche
109 schema:givenName Jens
110 rdf:type schema:Person
111 N4f3fe39e8675470aa65c307ce6dda6e9 rdf:first N3b8cf5a2d12c469190087139f3325ea8
112 rdf:rest Nedd1a491cd8d4cda902b676a763136f7
113 N4fba39061af14662bd36964e405d6c61 schema:affiliation Nc90886d2f8094cb3a07844ad638cd067
114 schema:familyName Silber
115 schema:givenName Sigmund
116 rdf:type schema:Person
117 N5014155cb53b4b49ac18ce0f8e959463 schema:affiliation https://www.grid.ac/institutes/grid.7700.0
118 schema:familyName Grammer
119 schema:givenName Tanja B.
120 rdf:type schema:Person
121 N5073f86235be4db7a84364a24e226400 schema:affiliation https://www.grid.ac/institutes/grid.4488.0
122 schema:familyName Pittrow
123 schema:givenName David
124 rdf:type schema:Person
125 N51c60adb584c4812b881ad199ba400c1 schema:affiliation https://www.grid.ac/institutes/grid.7700.0
126 schema:familyName Kleber
127 schema:givenName Marcus E.
128 rdf:type schema:Person
129 N74863460aa804adbb23c8956640c3383 schema:affiliation https://www.grid.ac/institutes/grid.6363.0
130 schema:familyName Pieper
131 schema:givenName Lars
132 rdf:type schema:Person
133 N7e96a7a7b2bf4ceeb08301904aebe9ff schema:affiliation https://www.grid.ac/institutes/grid.411339.d
134 schema:familyName Laufs
135 schema:givenName Ulrich
136 rdf:type schema:Person
137 N91ebedd808ba4466b07ed15ecd1e2901 rdf:first N7e96a7a7b2bf4ceeb08301904aebe9ff
138 rdf:rest N4730bb58cc8d4312828c05d095f6cfc4
139 Na038e85f6591424f8324b73fb804f6a1 schema:affiliation https://www.grid.ac/institutes/grid.7700.0
140 schema:familyName Gergei
141 schema:givenName Ingrid
142 rdf:type schema:Person
143 Na39f9e1d7ee840c0a0a3c20c3f9ec730 rdf:first N51c60adb584c4812b881ad199ba400c1
144 rdf:rest N91ebedd808ba4466b07ed15ecd1e2901
145 Na6f688811a0f42b187dd3e489cef8fb3 schema:name doi
146 schema:value 10.1038/s41598-018-37092-7
147 rdf:type schema:PropertyValue
148 Nc0e2ed260fbb4e1684af63f0194dd064 schema:name Springer Nature - SN SciGraph project
149 rdf:type schema:Organization
150 Nc1a426cd6de24a9882dec075c7acf659 schema:name dimensions_id
151 schema:value pub.1111774155
152 rdf:type schema:PropertyValue
153 Nc4a68034cb1a45668d4f1995668632e8 rdf:first N5073f86235be4db7a84364a24e226400
154 rdf:rest N4dae7d60e53c44239218c9466428358b
155 Nc90886d2f8094cb3a07844ad638cd067 schema:name Cardiology Outpatient Clinic Tal, Munich, Germany
156 rdf:type schema:Organization
157 Ncbc2025c7af846dbb0b9706f4bfc4689 rdf:first N74863460aa804adbb23c8956640c3383
158 rdf:rest Nc4a68034cb1a45668d4f1995668632e8
159 Ncda3af1175c44a88a5462c1b5ab898a4 rdf:first N5014155cb53b4b49ac18ce0f8e959463
160 rdf:rest Nd1632d787fae4cfdbe632d484fa4db5f
161 Nd1632d787fae4cfdbe632d484fa4db5f rdf:first N1274ef41e2fd4f3ca64eea499f1a25fe
162 rdf:rest N4ca6c6f39c0a45f8ba608158fac7df23
163 Nda3e70e71c504fe6b7d5caa10be18cc7 schema:issueNumber 1
164 rdf:type schema:PublicationIssue
165 Nded9193abf9f410c9b59938330de8fa0 schema:affiliation https://www.grid.ac/institutes/grid.11598.34
166 schema:familyName Scharnagl
167 schema:givenName Hubert
168 rdf:type schema:Person
169 Ne319429e97c243bb814b30772ec63f21 schema:name German Research Center of Rheumatology Berlin, Leibnitz Institute, Berlin, Germany
170 rdf:type schema:Organization
171 Nedd1a491cd8d4cda902b676a763136f7 rdf:first N1054a03ad02d45f8b12a4c3c425c58b0
172 rdf:rest rdf:nil
173 Nf48785e75c62465fad0c1bd76be9e139 schema:name pubmed_id
174 schema:value 30705337
175 rdf:type schema:PropertyValue
176 Nf6620b1231874c39b1da6a74479bfc75 schema:name nlm_unique_id
177 schema:value 101563288
178 rdf:type schema:PropertyValue
179 Nfd63f4413a74448c8abb345fcd3d8226 rdf:first N183e6eb6506e459983fc7524a847684c
180 rdf:rest N05072f91375f4867b21d94ca87698583
181 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
182 schema:name Medical and Health Sciences
183 rdf:type schema:DefinedTerm
184 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
185 schema:name Public Health and Health Services
186 rdf:type schema:DefinedTerm
187 sg:journal.1045337 schema:issn 2045-2322
188 schema:name Scientific Reports
189 rdf:type schema:Periodical
190 sg:pub.10.1038/jhh.2014.82 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012571607
191 https://doi.org/10.1038/jhh.2014.82
192 rdf:type schema:CreativeWork
193 https://app.dimensions.ai/details/publication/pub.1076627395 schema:CreativeWork
194 https://doi.org/10.1001/jama.2014.2630 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020205137
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1001/jama.2014.2632 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024726585
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1001/jama.289.18.2363 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027820278
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1001/jama.297.6.611 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018417876
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1002/sim.4085 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037258459
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1016/0895-4356(88)90080-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037439545
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1016/1047-2797(91)90005-w schema:sameAs https://app.dimensions.ai/details/publication/pub.1016888698
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1016/j.amjhyper.2004.05.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054726723
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1016/j.mayocp.2016.03.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031923127
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1016/s0140-6736(13)62388-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040636083
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1016/s0140-6736(17)32152-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091782841
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1016/s0195-668x(03)00114-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054625367
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1042/cs1010671 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042308723
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1093/eurheartj/ehs092 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013182064
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1093/eurheartj/ehw106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041809009
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1093/eurheartj/ehw272 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048191967
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1093/ije/dyh405 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011319683
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1093/oxfordjournals.aje.a112813 schema:sameAs https://app.dimensions.ai/details/publication/pub.1080564119
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1093/oxfordjournals.aje.a115184 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059958072
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1097/00004872-200403000-00009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016703156
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1097/hjr.0b013e328334ea70 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060341675
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1097/mol.0000000000000095 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001423772
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1111/j.1365-2362.2007.01888.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1048282915
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1111/j.1749-6632.1963.tb13299.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1040351491
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1136/bmj.282.6279.1847 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043948879
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1136/bmj.39609.449676.25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025756262
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1136/heartjnl-2014-305693 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017980936
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1136/hrt.2006.108167 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001798991
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1161/01.cir.0000133317.49796.0e schema:sameAs https://app.dimensions.ai/details/publication/pub.1035818241
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1161/01.cir.0000437738.63853.7a schema:sameAs https://app.dimensions.ai/details/publication/pub.1027019079
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1161/01.cir.0000437741.48606.98 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027254145
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1161/01.cir.97.18.1837 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013788536
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1161/circ.106.25.3143 schema:sameAs https://app.dimensions.ai/details/publication/pub.1075204771
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1161/circulationaha.107.699579 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043867491
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1161/circulationaha.108.814251 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035258591
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1161/hc0302.102575 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005321039
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1185/030079905x38187 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032769634
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1371/journal.pone.0164688 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042853338
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1515/reveh.1996.11.1-2.15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004563735
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1515/reveh.1996.11.1-2.7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039536582
273 rdf:type schema:CreativeWork
274 https://doi.org/10.2337/dc10-s062 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042714871
275 rdf:type schema:CreativeWork
276 https://doi.org/10.3109/08037051.2014.868629 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018389745
277 rdf:type schema:CreativeWork
278 https://doi.org/10.7326/l15-5105-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073741856
279 rdf:type schema:CreativeWork
280 https://doi.org/10.7326/m16-1739 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073743122
281 rdf:type schema:CreativeWork
282 https://doi.org/10.7326/m17-0681 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100177929
283 rdf:type schema:CreativeWork
284 https://www.grid.ac/institutes/grid.11598.34 schema:alternateName Medical University of Graz
285 schema:name Medical University of Graz, Clinical Institute of Medical and Chemical Laboratory Diagnostics, Graz, Austria
286 Synlab Services GmbH, Synlab Academy, Mannheim, Augsburg, Germany
287 University of Heidelberg, Mannheim Medical Faculty, Department of Internal Medicine V (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Mannheim, Germany
288 rdf:type schema:Organization
289 https://www.grid.ac/institutes/grid.411339.d schema:alternateName University Hospital Leipzig
290 schema:name Clinic and Polyclinic of Cardiology, University Clinic Leipzig, Leipzig, Germany
291 rdf:type schema:Organization
292 https://www.grid.ac/institutes/grid.419548.5 schema:alternateName Max Planck Institute of Psychiatry
293 schema:name Max-Planck- Institute of Psychiatry, Munich, Germany
294 Technical University Dresden, Institute of Clinical Psychology and Psychotherapy, Dresden, Germany
295 rdf:type schema:Organization
296 https://www.grid.ac/institutes/grid.4488.0 schema:alternateName TU Dresden
297 schema:name Technical University Dresden, Medical Faculty, Institute of Clinical Pharmacology, Dresden, Germany
298 rdf:type schema:Organization
299 https://www.grid.ac/institutes/grid.6363.0 schema:alternateName Charité
300 schema:name Charité Universitätsmedizin Berlin, Institute of Social Medicine, Epidemiology and Health Economics, Berlin, Germany
301 rdf:type schema:Organization
302 https://www.grid.ac/institutes/grid.7700.0 schema:alternateName Heidelberg University
303 schema:name University of Heidelberg, Mannheim Medical Faculty, Department of Internal Medicine V (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Mannheim, Germany
304 University of Heidelberg, Mannheim Medical Faculty, Mannheim Institute of Public Health, Social and Preventive Medicine, Mannheim, Germany
305 rdf:type schema:Organization
 




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


...