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 N5f1df04a9072431cbe73ef83f9d06abb
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 N9d9644ed7c8f4b89b13f02b98513ed2d
58 Ndf78eddddc714793a40fd96781995dda
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 N21b4cfecd6f74dde868948a5cdf8cf26
63 N4a9ff0ee395f403d995c03e36c7e96ee
64 N99d2fd20552e4a87b750bb9b19b243db
65 Nd3108553014c4a9b848a97fd85057418
66 Ned15db2b66ba4ec4ace96f5e03ba8f00
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 Nd8c7e762e885476f86de1de47aa65e77
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 N1bc0d4e8bb614f8bbd6ef3a9d7e1b5f5 schema:affiliation https://www.grid.ac/institutes/grid.419548.5
77 schema:familyName Wittchen
78 schema:givenName Hans-Ulrich
79 rdf:type schema:Person
80 N21b4cfecd6f74dde868948a5cdf8cf26 schema:name dimensions_id
81 schema:value pub.1111774155
82 rdf:type schema:PropertyValue
83 N2f7d2a700f86430b9ff995153ac9abe5 rdf:first N72f4819265a94c4f80bc92292843b871
84 rdf:rest Nead384316d724df2982b207b54eaa791
85 N421d563ef48d4761a7f01905c7c6dd25 schema:affiliation https://www.grid.ac/institutes/grid.11598.34
86 schema:familyName Scharnagl
87 schema:givenName Hubert
88 rdf:type schema:Person
89 N493701604a9f4655a442ae84f05dd1dc schema:name European Prevention Center, EPC GmbH, Düsseldorf, Germany
90 rdf:type schema:Organization
91 N4a9ff0ee395f403d995c03e36c7e96ee schema:name doi
92 schema:value 10.1038/s41598-018-37092-7
93 rdf:type schema:PropertyValue
94 N50cc110d36904da0814e03f06cc43468 rdf:first N6392c5dbf25347ce8037808acd18ded7
95 rdf:rest Nc6eef201d7574200b6321ce2243d33aa
96 N5f1df04a9072431cbe73ef83f9d06abb rdf:first Ncade3ae44ec644d79b70418084d304a8
97 rdf:rest N50cc110d36904da0814e03f06cc43468
98 N6392c5dbf25347ce8037808acd18ded7 schema:affiliation https://www.grid.ac/institutes/grid.7700.0
99 schema:familyName Dressel
100 schema:givenName Alexander
101 rdf:type schema:Person
102 N6f5c2aae5f7b40fca770bda20fce59e5 schema:affiliation https://www.grid.ac/institutes/grid.411339.d
103 schema:familyName Laufs
104 schema:givenName Ulrich
105 rdf:type schema:Person
106 N72f4819265a94c4f80bc92292843b871 schema:affiliation Na2e643ad9c1a43b4b131fd0c02d1825f
107 schema:familyName Klotsche
108 schema:givenName Jens
109 rdf:type schema:Person
110 N7d9a67db8d724e899e60d9ffd4a7ca09 rdf:first N421d563ef48d4761a7f01905c7c6dd25
111 rdf:rest Nbd0712b7e7c0457a86d238774f39679f
112 N8394686578634c3ea001e5eb846ffbc7 rdf:first Ndf42c2f1fd414d98a87979722c1b25bf
113 rdf:rest Na93fb344d4b446d0b96add2580a30110
114 N8af82817e00d46f685ea6d0dd1c9d659 rdf:first N1bc0d4e8bb614f8bbd6ef3a9d7e1b5f5
115 rdf:rest Na5d01cda17484aa98b54729a6a326e17
116 N8bf4788097b14228978c7766d9475601 rdf:first N6f5c2aae5f7b40fca770bda20fce59e5
117 rdf:rest N7d9a67db8d724e899e60d9ffd4a7ca09
118 N8fc56ce8390f4720b14d828479fd22f2 schema:affiliation https://www.grid.ac/institutes/grid.11598.34
119 schema:familyName März
120 schema:givenName Winfried
121 rdf:type schema:Person
122 N99d2fd20552e4a87b750bb9b19b243db schema:name pubmed_id
123 schema:value 30705337
124 rdf:type schema:PropertyValue
125 N9d9644ed7c8f4b89b13f02b98513ed2d schema:volumeNumber 9
126 rdf:type schema:PublicationVolume
127 Na260de921c954084b0609b1047d04753 schema:affiliation Nffbcd0fb5fe7473d8cf6bd05abd9ced4
128 schema:familyName Silber
129 schema:givenName Sigmund
130 rdf:type schema:Person
131 Na2e643ad9c1a43b4b131fd0c02d1825f schema:name German Research Center of Rheumatology Berlin, Leibnitz Institute, Berlin, Germany
132 rdf:type schema:Organization
133 Na5d01cda17484aa98b54729a6a326e17 rdf:first N8fc56ce8390f4720b14d828479fd22f2
134 rdf:rest rdf:nil
135 Na93fb344d4b446d0b96add2580a30110 rdf:first Na260de921c954084b0609b1047d04753
136 rdf:rest N8af82817e00d46f685ea6d0dd1c9d659
137 Nac38628e6ce2440686421cb904699dc2 schema:affiliation https://www.grid.ac/institutes/grid.7700.0
138 schema:familyName Gergei
139 schema:givenName Ingrid
140 rdf:type schema:Person
141 Nbd0712b7e7c0457a86d238774f39679f rdf:first Nd977d9ddd1be46f2a5a202e53f609e09
142 rdf:rest N2f7d2a700f86430b9ff995153ac9abe5
143 Nc6eef201d7574200b6321ce2243d33aa rdf:first Nac38628e6ce2440686421cb904699dc2
144 rdf:rest Neaa8078f51f04bbfac9cd6c899e89f0d
145 Ncade3ae44ec644d79b70418084d304a8 schema:affiliation https://www.grid.ac/institutes/grid.7700.0
146 schema:familyName Grammer
147 schema:givenName Tanja B.
148 rdf:type schema:Person
149 Nd3108553014c4a9b848a97fd85057418 schema:name nlm_unique_id
150 schema:value 101563288
151 rdf:type schema:PropertyValue
152 Nd8c7e762e885476f86de1de47aa65e77 schema:name Springer Nature - SN SciGraph project
153 rdf:type schema:Organization
154 Nd977d9ddd1be46f2a5a202e53f609e09 schema:affiliation N493701604a9f4655a442ae84f05dd1dc
155 schema:familyName Nixdorff
156 schema:givenName Uwe
157 rdf:type schema:Person
158 Ndb98e270201f4795bcc90c8372f46a46 schema:affiliation https://www.grid.ac/institutes/grid.7700.0
159 schema:familyName Kleber
160 schema:givenName Marcus E.
161 rdf:type schema:Person
162 Ndf42c2f1fd414d98a87979722c1b25bf schema:affiliation https://www.grid.ac/institutes/grid.4488.0
163 schema:familyName Pittrow
164 schema:givenName David
165 rdf:type schema:Person
166 Ndf78eddddc714793a40fd96781995dda schema:issueNumber 1
167 rdf:type schema:PublicationIssue
168 Nea9e8b05a7384e6e909562411b5d7984 schema:affiliation https://www.grid.ac/institutes/grid.6363.0
169 schema:familyName Pieper
170 schema:givenName Lars
171 rdf:type schema:Person
172 Neaa8078f51f04bbfac9cd6c899e89f0d rdf:first Ndb98e270201f4795bcc90c8372f46a46
173 rdf:rest N8bf4788097b14228978c7766d9475601
174 Nead384316d724df2982b207b54eaa791 rdf:first Nea9e8b05a7384e6e909562411b5d7984
175 rdf:rest N8394686578634c3ea001e5eb846ffbc7
176 Ned15db2b66ba4ec4ace96f5e03ba8f00 schema:name readcube_id
177 schema:value 698b3b80c3eb5e8ce05c295985279edf66bae7ab9838f0c49947db620ca7d358
178 rdf:type schema:PropertyValue
179 Nffbcd0fb5fe7473d8cf6bd05abd9ced4 schema:name Cardiology Outpatient Clinic Tal, Munich, Germany
180 rdf:type schema:Organization
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)


...