Estimating glomerular filtration rate in diabetes: a comparison of cystatin-C- and creatinine-based methods View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2006-07

AUTHORS

R. J. MacIsaac, C. Tsalamandris, M. C. Thomas, E. Premaratne, S. Panagiotopoulos, T. J. Smith, A. Poon, M. A. Jenkins, S. I. Ratnaike, D. A. Power, G. Jerums

ABSTRACT

AIMS/HYPOTHESIS: We compared the predictive performance of a GFR based on serum cystatin C levels with commonly used creatinine-based methods in subjects with diabetes. SUBJECTS, MATERIALS AND METHODS: In a cross-sectional study of 251 consecutive clinic patients, the mean reference (plasma clearance of (99m)Tc-diethylene-triamine-penta-acetic acid) GFR (iGFR) was 88+/-2 ml min(-1) 1.73 m(-2). A regression equation describing the relationship between iGFR and 1/cystatin C levels was derived from a test population (n=125) to allow for the estimation of GFR by cystatin C (eGFR-cystatin C). The predictive performance of eGFR-cystatin C, the Modification of Diet in Renal Disease 4 variable formula (MDRD-4) and Cockcroft-Gault (C-G) formulas were then compared in a validation population (n=126). RESULTS: There was no difference in renal function (ml min(-1) 1.73 m(-2)) as measured by iGFR (89.2+/-3.0), eGFR-cystatin C (86.8+/-2.5), MDRD-4 (87.0+/-2.8) or C-G (92.3+/-3.5). All three estimates of renal function had similar precision and accuracy. CONCLUSIONS/INTERPRETATION: Estimates of GFR based solely on serum cystatin C levels had the same predictive potential when compared with the MDRD-4 and C-G formulas. More... »

PAGES

1686-1689

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00125-006-0275-7

DOI

http://dx.doi.org/10.1007/s00125-006-0275-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1025565330

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/16752187


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "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": "Creatinine", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cross-Sectional Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cystatin C", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cystatins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Glomerular Filtration Rate", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Predictive Value of Tests", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sensitivity and Specificity", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Heidelberg Repatriation Hospital", 
          "id": "https://www.grid.ac/institutes/grid.413976.e", 
          "name": [
            "Endocrine Centre and the Department of Medicine, Austin Health and University of Melbourne, Heidelberg Repatriation Hospital, Level 2, Centaur Building, 3081, Heidelberg West, VIC, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "MacIsaac", 
        "givenName": "R. J.", 
        "id": "sg:person.01212715662.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01212715662.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Heidelberg Repatriation Hospital", 
          "id": "https://www.grid.ac/institutes/grid.413976.e", 
          "name": [
            "Endocrine Centre and the Department of Medicine, Austin Health and University of Melbourne, Heidelberg Repatriation Hospital, Level 2, Centaur Building, 3081, Heidelberg West, VIC, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tsalamandris", 
        "givenName": "C.", 
        "id": "sg:person.0764722214.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0764722214.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Baker IDI Heart and Diabetes Institute", 
          "id": "https://www.grid.ac/institutes/grid.1051.5", 
          "name": [
            "Danielle Alberti Memorial Centre for Diabetes Complications, Baker Medical Research Institute, Melbourne, VIC, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Thomas", 
        "givenName": "M. C.", 
        "id": "sg:person.01223230730.70", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01223230730.70"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Heidelberg Repatriation Hospital", 
          "id": "https://www.grid.ac/institutes/grid.413976.e", 
          "name": [
            "Endocrine Centre and the Department of Medicine, Austin Health and University of Melbourne, Heidelberg Repatriation Hospital, Level 2, Centaur Building, 3081, Heidelberg West, VIC, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Premaratne", 
        "givenName": "E.", 
        "id": "sg:person.0734555605.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734555605.67"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Heidelberg Repatriation Hospital", 
          "id": "https://www.grid.ac/institutes/grid.413976.e", 
          "name": [
            "Endocrine Centre and the Department of Medicine, Austin Health and University of Melbourne, Heidelberg Repatriation Hospital, Level 2, Centaur Building, 3081, Heidelberg West, VIC, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Panagiotopoulos", 
        "givenName": "S.", 
        "id": "sg:person.01117117405.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01117117405.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Heidelberg Repatriation Hospital", 
          "id": "https://www.grid.ac/institutes/grid.413976.e", 
          "name": [
            "Endocrine Centre and the Department of Medicine, Austin Health and University of Melbourne, Heidelberg Repatriation Hospital, Level 2, Centaur Building, 3081, Heidelberg West, VIC, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Smith", 
        "givenName": "T. J.", 
        "id": "sg:person.01157372323.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01157372323.86"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Austin Health", 
          "id": "https://www.grid.ac/institutes/grid.410678.c", 
          "name": [
            "Department of Nuclear Medicine and Centre for PET, Austin Health, Heidelberg, VIC, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Poon", 
        "givenName": "A.", 
        "id": "sg:person.010057321742.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010057321742.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Austin Health", 
          "id": "https://www.grid.ac/institutes/grid.410678.c", 
          "name": [
            "Division of Laboratory Medicine, Austin Health, Heidelberg, VIC, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jenkins", 
        "givenName": "M. A.", 
        "id": "sg:person.01344262062.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344262062.87"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Austin Health", 
          "id": "https://www.grid.ac/institutes/grid.410678.c", 
          "name": [
            "Division of Laboratory Medicine, Austin Health, Heidelberg, VIC, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ratnaike", 
        "givenName": "S. I.", 
        "id": "sg:person.01004252415.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01004252415.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Austin Health", 
          "id": "https://www.grid.ac/institutes/grid.410678.c", 
          "name": [
            "Department of Nephrology, Austin Health, Heidelberg, VIC, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Power", 
        "givenName": "D. A.", 
        "id": "sg:person.01050643265.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01050643265.26"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Heidelberg Repatriation Hospital", 
          "id": "https://www.grid.ac/institutes/grid.413976.e", 
          "name": [
            "Endocrine Centre and the Department of Medicine, Austin Health and University of Melbourne, Heidelberg Repatriation Hospital, Level 2, Centaur Building, 3081, Heidelberg West, VIC, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jerums", 
        "givenName": "G.", 
        "id": "sg:person.01343430360.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01343430360.16"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1056/nejmoa043161", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004173169"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa043161", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004173169"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1258/000456303766476995", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013028241"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1258/000456303766476995", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013028241"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00041552-200111000-00009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014848825"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00041552-200111000-00009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014848825"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-005-0002-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018160667", 
          "https://doi.org/10.1007/s00125-005-0002-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-005-0002-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018160667", 
          "https://doi.org/10.1007/s00125-005-0002-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-005-0002-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018160667", 
          "https://doi.org/10.1007/s00125-005-0002-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1681/asn.2004100854", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035341223"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1681/asn.2004100854", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035341223"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1681/asn.2004060447", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043113424"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1681/asn.2004060447", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043113424"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1681/asn.2004060447", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043113424"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.clinbiochem.2004.09.025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046642282"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0272-6386(03)00406-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049989599"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0272-6386(03)00406-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049989599"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ndt/gfg349", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053010008"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077090722", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5694/j.1326-5377.2005.tb06958.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077090722"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2006-07", 
    "datePublishedReg": "2006-07-01", 
    "description": "AIMS/HYPOTHESIS: We compared the predictive performance of a GFR based on serum cystatin C levels with commonly used creatinine-based methods in subjects with diabetes.\nSUBJECTS, MATERIALS AND METHODS: In a cross-sectional study of 251 consecutive clinic patients, the mean reference (plasma clearance of (99m)Tc-diethylene-triamine-penta-acetic acid) GFR (iGFR) was 88+/-2 ml min(-1) 1.73 m(-2). A regression equation describing the relationship between iGFR and 1/cystatin C levels was derived from a test population (n=125) to allow for the estimation of GFR by cystatin C (eGFR-cystatin C). The predictive performance of eGFR-cystatin C, the Modification of Diet in Renal Disease 4 variable formula (MDRD-4) and Cockcroft-Gault (C-G) formulas were then compared in a validation population (n=126).\nRESULTS: There was no difference in renal function (ml min(-1) 1.73 m(-2)) as measured by iGFR (89.2+/-3.0), eGFR-cystatin C (86.8+/-2.5), MDRD-4 (87.0+/-2.8) or C-G (92.3+/-3.5). All three estimates of renal function had similar precision and accuracy.\nCONCLUSIONS/INTERPRETATION: Estimates of GFR based solely on serum cystatin C levels had the same predictive potential when compared with the MDRD-4 and C-G formulas.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00125-006-0275-7", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6715900", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1001482", 
        "issn": [
          "0012-186X", 
          "1432-0428"
        ], 
        "name": "Diabetologia", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "7", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "49"
      }
    ], 
    "name": "Estimating glomerular filtration rate in diabetes: a comparison of cystatin-C- and creatinine-based methods", 
    "pagination": "1686-1689", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "79cb62f1ba90a0de0802379182eb88319c0f615ca0aee96c1879e199ca8d6750"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "16752187"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0006777"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00125-006-0275-7"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1025565330"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00125-006-0275-7", 
      "https://app.dimensions.ai/details/publication/pub.1025565330"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T14:27", 
    "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/v90/0000000373_0000000373/records_13073_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00125-006-0275-7"
  }
]
 

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.10.1007/s00125-006-0275-7'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00125-006-0275-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00125-006-0275-7'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00125-006-0275-7'


 

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

230 TRIPLES      21 PREDICATES      52 URIs      33 LITERALS      21 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00125-006-0275-7 schema:about N399e462d1042417e84b51820ec3beda6
2 N56b96d8d33224073a48e0e0956c96171
3 N603ab4fbbe6142a189f6079e30769a09
4 N6263a85ecca9430197753e1e845864cc
5 N6f051e551de04bd0837c656ec76a5253
6 N78e8e1ced8aa445bb8d17252046b1617
7 N7ec1f58d2e9d4de79874b9439e40c482
8 N916ba44345c143edb89cdf89eea4f864
9 N9f0675d937254438b35515a3772b60ab
10 Nd2b7f80772304d93a3c826f14306e6f5
11 Nfd7a1ccdd4f8437db9b22e6be033b61f
12 Nfde71cf15a014463b111e14a2992d902
13 anzsrc-for:11
14 anzsrc-for:1103
15 schema:author N0c005c2dc1364510a543fdfe73c35957
16 schema:citation sg:pub.10.1007/s00125-005-0002-9
17 https://app.dimensions.ai/details/publication/pub.1077090722
18 https://doi.org/10.1016/j.clinbiochem.2004.09.025
19 https://doi.org/10.1016/s0272-6386(03)00406-2
20 https://doi.org/10.1056/nejmoa043161
21 https://doi.org/10.1093/ndt/gfg349
22 https://doi.org/10.1097/00041552-200111000-00009
23 https://doi.org/10.1258/000456303766476995
24 https://doi.org/10.1681/asn.2004060447
25 https://doi.org/10.1681/asn.2004100854
26 https://doi.org/10.5694/j.1326-5377.2005.tb06958.x
27 schema:datePublished 2006-07
28 schema:datePublishedReg 2006-07-01
29 schema:description AIMS/HYPOTHESIS: We compared the predictive performance of a GFR based on serum cystatin C levels with commonly used creatinine-based methods in subjects with diabetes. SUBJECTS, MATERIALS AND METHODS: In a cross-sectional study of 251 consecutive clinic patients, the mean reference (plasma clearance of (99m)Tc-diethylene-triamine-penta-acetic acid) GFR (iGFR) was 88+/-2 ml min(-1) 1.73 m(-2). A regression equation describing the relationship between iGFR and 1/cystatin C levels was derived from a test population (n=125) to allow for the estimation of GFR by cystatin C (eGFR-cystatin C). The predictive performance of eGFR-cystatin C, the Modification of Diet in Renal Disease 4 variable formula (MDRD-4) and Cockcroft-Gault (C-G) formulas were then compared in a validation population (n=126). RESULTS: There was no difference in renal function (ml min(-1) 1.73 m(-2)) as measured by iGFR (89.2+/-3.0), eGFR-cystatin C (86.8+/-2.5), MDRD-4 (87.0+/-2.8) or C-G (92.3+/-3.5). All three estimates of renal function had similar precision and accuracy. CONCLUSIONS/INTERPRETATION: Estimates of GFR based solely on serum cystatin C levels had the same predictive potential when compared with the MDRD-4 and C-G formulas.
30 schema:genre research_article
31 schema:inLanguage en
32 schema:isAccessibleForFree true
33 schema:isPartOf N52a8e18433d24dd89518fb389a0ee8ff
34 Nd0010d9e4d4e4b5caff22ca84f46192c
35 sg:journal.1001482
36 schema:name Estimating glomerular filtration rate in diabetes: a comparison of cystatin-C- and creatinine-based methods
37 schema:pagination 1686-1689
38 schema:productId N2726af291f9b4bd1959821bf81a422fc
39 N5eef988b8ea04ecea7ce09f5972f2973
40 N600b52c7fee84ddb9bee6daaae51cbac
41 Nbcbc654e6f554869a7c229d47fb167be
42 Nfb1e4331c2444b44a060f29ce8bdd155
43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025565330
44 https://doi.org/10.1007/s00125-006-0275-7
45 schema:sdDatePublished 2019-04-11T14:27
46 schema:sdLicense https://scigraph.springernature.com/explorer/license/
47 schema:sdPublisher N8e1e001c659b4d639c6e38abc874f267
48 schema:url https://link.springer.com/10.1007%2Fs00125-006-0275-7
49 sgo:license sg:explorer/license/
50 sgo:sdDataset articles
51 rdf:type schema:ScholarlyArticle
52 N0c005c2dc1364510a543fdfe73c35957 rdf:first sg:person.01212715662.16
53 rdf:rest Na16527311d7f407cb55874c5ca99881c
54 N0c29458bb7384995a804ef1b7a1deb99 rdf:first sg:person.01117117405.17
55 rdf:rest Nac995c42ac7b43ae92ea318918f88195
56 N10da01456f854e038ffd5e517dea2f9c rdf:first sg:person.01344262062.87
57 rdf:rest N783fbcb4218441e8a7db11c8344e86f5
58 N2726af291f9b4bd1959821bf81a422fc schema:name dimensions_id
59 schema:value pub.1025565330
60 rdf:type schema:PropertyValue
61 N382a079334944309a1a051f8d5eec4c8 rdf:first sg:person.01343430360.16
62 rdf:rest rdf:nil
63 N399e462d1042417e84b51820ec3beda6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
64 schema:name Middle Aged
65 rdf:type schema:DefinedTerm
66 N471809f102c749708133e3b8e8542646 rdf:first sg:person.01223230730.70
67 rdf:rest N4b679c3d573a42d6983ecab8fe8cdb66
68 N4b679c3d573a42d6983ecab8fe8cdb66 rdf:first sg:person.0734555605.67
69 rdf:rest N0c29458bb7384995a804ef1b7a1deb99
70 N52a8e18433d24dd89518fb389a0ee8ff schema:volumeNumber 49
71 rdf:type schema:PublicationVolume
72 N56b96d8d33224073a48e0e0956c96171 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
73 schema:name Aged, 80 and over
74 rdf:type schema:DefinedTerm
75 N5eef988b8ea04ecea7ce09f5972f2973 schema:name pubmed_id
76 schema:value 16752187
77 rdf:type schema:PropertyValue
78 N600b52c7fee84ddb9bee6daaae51cbac schema:name readcube_id
79 schema:value 79cb62f1ba90a0de0802379182eb88319c0f615ca0aee96c1879e199ca8d6750
80 rdf:type schema:PropertyValue
81 N603ab4fbbe6142a189f6079e30769a09 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Predictive Value of Tests
83 rdf:type schema:DefinedTerm
84 N6263a85ecca9430197753e1e845864cc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Creatinine
86 rdf:type schema:DefinedTerm
87 N6f051e551de04bd0837c656ec76a5253 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
88 schema:name Aged
89 rdf:type schema:DefinedTerm
90 N783fbcb4218441e8a7db11c8344e86f5 rdf:first sg:person.01004252415.41
91 rdf:rest Nb2ef02b3b4764ca2bac14b85aa74cd21
92 N78e8e1ced8aa445bb8d17252046b1617 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Humans
94 rdf:type schema:DefinedTerm
95 N7ec1f58d2e9d4de79874b9439e40c482 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Cross-Sectional Studies
97 rdf:type schema:DefinedTerm
98 N8796dd8e5b914c45ae074a17ada68f4c rdf:first sg:person.010057321742.81
99 rdf:rest N10da01456f854e038ffd5e517dea2f9c
100 N8e1e001c659b4d639c6e38abc874f267 schema:name Springer Nature - SN SciGraph project
101 rdf:type schema:Organization
102 N916ba44345c143edb89cdf89eea4f864 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Sensitivity and Specificity
104 rdf:type schema:DefinedTerm
105 N9f0675d937254438b35515a3772b60ab schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Glomerular Filtration Rate
107 rdf:type schema:DefinedTerm
108 Na16527311d7f407cb55874c5ca99881c rdf:first sg:person.0764722214.46
109 rdf:rest N471809f102c749708133e3b8e8542646
110 Nac995c42ac7b43ae92ea318918f88195 rdf:first sg:person.01157372323.86
111 rdf:rest N8796dd8e5b914c45ae074a17ada68f4c
112 Nb2ef02b3b4764ca2bac14b85aa74cd21 rdf:first sg:person.01050643265.26
113 rdf:rest N382a079334944309a1a051f8d5eec4c8
114 Nbcbc654e6f554869a7c229d47fb167be schema:name doi
115 schema:value 10.1007/s00125-006-0275-7
116 rdf:type schema:PropertyValue
117 Nd0010d9e4d4e4b5caff22ca84f46192c schema:issueNumber 7
118 rdf:type schema:PublicationIssue
119 Nd2b7f80772304d93a3c826f14306e6f5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Adult
121 rdf:type schema:DefinedTerm
122 Nfb1e4331c2444b44a060f29ce8bdd155 schema:name nlm_unique_id
123 schema:value 0006777
124 rdf:type schema:PropertyValue
125 Nfd7a1ccdd4f8437db9b22e6be033b61f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Cystatin C
127 rdf:type schema:DefinedTerm
128 Nfde71cf15a014463b111e14a2992d902 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Cystatins
130 rdf:type schema:DefinedTerm
131 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
132 schema:name Medical and Health Sciences
133 rdf:type schema:DefinedTerm
134 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
135 schema:name Clinical Sciences
136 rdf:type schema:DefinedTerm
137 sg:grant.6715900 http://pending.schema.org/fundedItem sg:pub.10.1007/s00125-006-0275-7
138 rdf:type schema:MonetaryGrant
139 sg:journal.1001482 schema:issn 0012-186X
140 1432-0428
141 schema:name Diabetologia
142 rdf:type schema:Periodical
143 sg:person.01004252415.41 schema:affiliation https://www.grid.ac/institutes/grid.410678.c
144 schema:familyName Ratnaike
145 schema:givenName S. I.
146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01004252415.41
147 rdf:type schema:Person
148 sg:person.010057321742.81 schema:affiliation https://www.grid.ac/institutes/grid.410678.c
149 schema:familyName Poon
150 schema:givenName A.
151 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010057321742.81
152 rdf:type schema:Person
153 sg:person.01050643265.26 schema:affiliation https://www.grid.ac/institutes/grid.410678.c
154 schema:familyName Power
155 schema:givenName D. A.
156 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01050643265.26
157 rdf:type schema:Person
158 sg:person.01117117405.17 schema:affiliation https://www.grid.ac/institutes/grid.413976.e
159 schema:familyName Panagiotopoulos
160 schema:givenName S.
161 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01117117405.17
162 rdf:type schema:Person
163 sg:person.01157372323.86 schema:affiliation https://www.grid.ac/institutes/grid.413976.e
164 schema:familyName Smith
165 schema:givenName T. J.
166 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01157372323.86
167 rdf:type schema:Person
168 sg:person.01212715662.16 schema:affiliation https://www.grid.ac/institutes/grid.413976.e
169 schema:familyName MacIsaac
170 schema:givenName R. J.
171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01212715662.16
172 rdf:type schema:Person
173 sg:person.01223230730.70 schema:affiliation https://www.grid.ac/institutes/grid.1051.5
174 schema:familyName Thomas
175 schema:givenName M. C.
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01223230730.70
177 rdf:type schema:Person
178 sg:person.01343430360.16 schema:affiliation https://www.grid.ac/institutes/grid.413976.e
179 schema:familyName Jerums
180 schema:givenName G.
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01343430360.16
182 rdf:type schema:Person
183 sg:person.01344262062.87 schema:affiliation https://www.grid.ac/institutes/grid.410678.c
184 schema:familyName Jenkins
185 schema:givenName M. A.
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344262062.87
187 rdf:type schema:Person
188 sg:person.0734555605.67 schema:affiliation https://www.grid.ac/institutes/grid.413976.e
189 schema:familyName Premaratne
190 schema:givenName E.
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734555605.67
192 rdf:type schema:Person
193 sg:person.0764722214.46 schema:affiliation https://www.grid.ac/institutes/grid.413976.e
194 schema:familyName Tsalamandris
195 schema:givenName C.
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0764722214.46
197 rdf:type schema:Person
198 sg:pub.10.1007/s00125-005-0002-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018160667
199 https://doi.org/10.1007/s00125-005-0002-9
200 rdf:type schema:CreativeWork
201 https://app.dimensions.ai/details/publication/pub.1077090722 schema:CreativeWork
202 https://doi.org/10.1016/j.clinbiochem.2004.09.025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046642282
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1016/s0272-6386(03)00406-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049989599
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1056/nejmoa043161 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004173169
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1093/ndt/gfg349 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053010008
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1097/00041552-200111000-00009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014848825
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1258/000456303766476995 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013028241
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1681/asn.2004060447 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043113424
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1681/asn.2004100854 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035341223
217 rdf:type schema:CreativeWork
218 https://doi.org/10.5694/j.1326-5377.2005.tb06958.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1077090722
219 rdf:type schema:CreativeWork
220 https://www.grid.ac/institutes/grid.1051.5 schema:alternateName Baker IDI Heart and Diabetes Institute
221 schema:name Danielle Alberti Memorial Centre for Diabetes Complications, Baker Medical Research Institute, Melbourne, VIC, Australia
222 rdf:type schema:Organization
223 https://www.grid.ac/institutes/grid.410678.c schema:alternateName Austin Health
224 schema:name Department of Nephrology, Austin Health, Heidelberg, VIC, Australia
225 Department of Nuclear Medicine and Centre for PET, Austin Health, Heidelberg, VIC, Australia
226 Division of Laboratory Medicine, Austin Health, Heidelberg, VIC, Australia
227 rdf:type schema:Organization
228 https://www.grid.ac/institutes/grid.413976.e schema:alternateName Heidelberg Repatriation Hospital
229 schema:name Endocrine Centre and the Department of Medicine, Austin Health and University of Melbourne, Heidelberg Repatriation Hospital, Level 2, Centaur Building, 3081, Heidelberg West, VIC, Australia
230 rdf:type schema:Organization
 




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


...