Revisiting racial differences in ESRD due to ADPKD in the United States View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Erin L. Murphy, Feng Dai, Katrina Lehmann Blount, Madeline L. Droher, Lauren Liberti, Deidra C. Crews, Neera K. Dahl

ABSTRACT

INTRODUCTION: Autosomal dominant polycystic kidney disease (ADPKD) affects all races. Whether the progression of ADPKD varies by race remains unclear. METHODS: In this retrospective cohort study from 2004 to 2013 non-Hispanic blacks and non-Hispanic whites of all ages classified in the US Renal Data System (USRDS) with incident ESRD from ADPKD (n = 23,647), hypertension/large vessel disease (n = 296,352), or diabetes mellitus (n = 451,760) were stratified into five-year age categories ranging from < 40 to > 75 (e.g., < 40, 40-44, 45-49, …, 75+). The Cochran-Mantel-Haenszel test was used to determine the association of race and incidence of ESRD from ADPKD, diabetes, or hypertension. The difference in the proportions of ESRD in non-Hispanic black and non-Hispanic white patients at each age categorical bin was compared by two-sample proportion test. The age of ESRD onset between non-Hispanic black and non-Hispanic white patients at each year was compared using two-sample t-test with unequal variance. RESULTS: 1.068% of non-Hispanic blacks and 2.778% of non-Hispanic whites had ESRD attributed to ADPKD. Non-Hispanic blacks were less likely than non-Hispanic whites to have ESRD attributed to ADPKD (odds ratio (OR) (95% CI) = 0.38 (0.36-0.39), p < 0.0001). Using US Census data as the denominator to adjust for population differences non-Hispanic blacks were still slightly under-represented (OR (95% CI) 0.94 (0.91-0.96), p = 0.004). However, non-Hispanic blacks with ADPKD had a younger age of ESRD (54.4 years ±13) than non-Hispanic whites (55.9 years ±12.8) (p < 0.0001). For those < 40 years old, more non-Hispanic blacks had incident ESRD from ADPKD than non-Hispanic whites (9.49% vs. 7.68%, difference (95% CI) = 1.81% (0.87-2.84%), p < 0.001) for the combined years examined. CONCLUSIONS: As previously shown, we find the incidence of ESRD from ADPKD in non-Hispanic blacks is lower than in non-Hispanic whites. Among the younger ADPKD population (age < 40), however, more non-Hispanic blacks initiated dialysis than non-Hispanic whites. Non-Hispanic blacks with ADPKD initiated dialysis younger than non-Hispanic whites. A potential implication of these findings may be that black race should be considered an additional risk factor for progression in ADPKD. More... »

PAGES

55

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12882-019-1241-1

DOI

http://dx.doi.org/10.1186/s12882-019-1241-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112138979

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30764782


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

JSON-LD is the canonical representation for SciGraph data.

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

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Yale University", 
          "id": "https://www.grid.ac/institutes/grid.47100.32", 
          "name": [
            "Section of Nephrology, Yale University School of Medicine, 06520, New Haven, CT, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Murphy", 
        "givenName": "Erin L.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yale University", 
          "id": "https://www.grid.ac/institutes/grid.47100.32", 
          "name": [
            "Biostatistics, Yale University School of Public Health, 06511, New Haven, CT, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dai", 
        "givenName": "Feng", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yale University", 
          "id": "https://www.grid.ac/institutes/grid.47100.32", 
          "name": [
            "Section of Nephrology, Yale University School of Medicine, 06520, New Haven, CT, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Blount", 
        "givenName": "Katrina Lehmann", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yale University", 
          "id": "https://www.grid.ac/institutes/grid.47100.32", 
          "name": [
            "Section of Nephrology, Yale University School of Medicine, 06520, New Haven, CT, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Droher", 
        "givenName": "Madeline L.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yale University", 
          "id": "https://www.grid.ac/institutes/grid.47100.32", 
          "name": [
            "Section of Nephrology, Yale University School of Medicine, 06520, New Haven, CT, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liberti", 
        "givenName": "Lauren", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Johns Hopkins University", 
          "id": "https://www.grid.ac/institutes/grid.21107.35", 
          "name": [
            "Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Crews", 
        "givenName": "Deidra C.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yale University", 
          "id": "https://www.grid.ac/institutes/grid.47100.32", 
          "name": [
            "Section of Nephrology, Yale University School of Medicine, 06520, New Haven, CT, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dahl", 
        "givenName": "Neera K.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1053/j.ajkd.2003.10.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000239529"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ki.2011.411", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008492146", 
          "https://doi.org/10.1038/ki.2011.411"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1681/asn.2015010016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010536179"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1681/asn.2015010016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010536179"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.ajkd.2014.05.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010628343"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1046/j.1523-1755.2003.00185.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012820074", 
          "https://doi.org/10.1046/j.1523-1755.2003.00185.x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0272-6386(00)70298-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012991645"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.semnephrol.2013.07.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019970934"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.ajkd.2007.11.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025612446"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1681/asn.2013101138", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028334982"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1681/asn.2013101138", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028334982"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ndt/gfq473", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033862917"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.ackd.2014.06.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038838845"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.ajkd.2012.12.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042897098"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1310345", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045503207"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ki.2015.59", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046010918", 
          "https://doi.org/10.1038/ki.2015.59"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1046/j.1523-1755.2000.00250.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046935246", 
          "https://doi.org/10.1046/j.1523-1755.2000.00250.x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.asn.0000091586.46532.b4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060319349"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.asn.0000091586.46532.b4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060319349"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.asn.0000091586.46532.b4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060319349"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5414/cnp57208", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072832364"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/0003-4819-146-7-200704030-00005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073709227"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082608487", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ndt/gfx188", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085247491"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3949/ccjm.84a.16107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086130191"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.kint.2017.09.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100101246"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.kint.2017.09.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100101246"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "INTRODUCTION: Autosomal dominant polycystic kidney disease (ADPKD) affects all races. Whether the progression of ADPKD varies by race remains unclear.\nMETHODS: In this retrospective cohort study from 2004 to 2013 non-Hispanic blacks and non-Hispanic whites of all ages classified in the US Renal Data System (USRDS) with incident ESRD from ADPKD (n\u2009=\u200923,647), hypertension/large vessel disease (n\u2009=\u2009296,352), or diabetes mellitus (n\u2009=\u2009451,760) were stratified into five-year age categories ranging from <\u200940 to >\u200975 (e.g., <\u200940, 40-44, 45-49, \u2026, 75+). The Cochran-Mantel-Haenszel test was used to determine the association of race and incidence of ESRD from ADPKD, diabetes, or hypertension. The difference in the proportions of ESRD in non-Hispanic black and non-Hispanic white patients at each age categorical bin was compared by two-sample proportion test. The age of ESRD onset between non-Hispanic black and non-Hispanic white patients at each year was compared using two-sample t-test with unequal variance.\nRESULTS: 1.068% of non-Hispanic blacks and 2.778% of non-Hispanic whites had ESRD attributed to ADPKD. Non-Hispanic blacks were less likely than non-Hispanic whites to have ESRD attributed to ADPKD (odds ratio (OR) (95% CI)\u2009=\u20090.38 (0.36-0.39), p\u2009<\u2009\u00a00.0001). Using US Census data as the denominator to adjust for population differences non-Hispanic blacks were still slightly under-represented (OR (95% CI) 0.94 (0.91-0.96), p\u2009=\u20090.004). However, non-Hispanic blacks with ADPKD had a younger age of ESRD (54.4\u2009years \u00b113) than non-Hispanic whites (55.9\u2009years \u00b112.8) (p\u2009<\u2009\u00a00.0001). For those <\u200940\u2009years old, more non-Hispanic blacks had incident ESRD from ADPKD than non-Hispanic whites (9.49% vs. 7.68%, difference (95% CI)\u2009=\u20091.81% (0.87-2.84%), p\u2009<\u2009\u00a00.001) for the combined years examined.\nCONCLUSIONS: As previously shown, we find the incidence of ESRD from ADPKD in non-Hispanic blacks is lower than in non-Hispanic whites. Among the younger ADPKD population (age\u2009<\u200940), however, more non-Hispanic blacks initiated dialysis than non-Hispanic whites. Non-Hispanic blacks with ADPKD initiated dialysis younger than non-Hispanic whites. A potential implication of these findings may be that black race should be considered an additional risk factor for progression in ADPKD.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12882-019-1241-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.5475983", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1024626", 
        "issn": [
          "1471-2369"
        ], 
        "name": "BMC Nephrology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "20"
      }
    ], 
    "name": "Revisiting racial differences in ESRD due to ADPKD in the United States", 
    "pagination": "55", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "7751dde6d8207c4326c9ca6763bd417a7b892075108608802105ae7c500e67e3"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30764782"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100967793"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12882-019-1241-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112138979"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12882-019-1241-1", 
      "https://app.dimensions.ai/details/publication/pub.1112138979"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:21", 
    "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/v90/0000000368_0000000368/records_78974_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12882-019-1241-1"
  }
]
 

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.10.1186/s12882-019-1241-1'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12882-019-1241-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12882-019-1241-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12882-019-1241-1'


 

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

178 TRIPLES      21 PREDICATES      51 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12882-019-1241-1 schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author Ndf968df94470435db3ad6058ea61cc8b
4 schema:citation sg:pub.10.1038/ki.2011.411
5 sg:pub.10.1038/ki.2015.59
6 sg:pub.10.1046/j.1523-1755.2000.00250.x
7 sg:pub.10.1046/j.1523-1755.2003.00185.x
8 https://app.dimensions.ai/details/publication/pub.1082608487
9 https://doi.org/10.1016/j.kint.2017.09.027
10 https://doi.org/10.1016/j.semnephrol.2013.07.008
11 https://doi.org/10.1016/s0272-6386(00)70298-8
12 https://doi.org/10.1053/j.ackd.2014.06.005
13 https://doi.org/10.1053/j.ajkd.2003.10.022
14 https://doi.org/10.1053/j.ajkd.2007.11.023
15 https://doi.org/10.1053/j.ajkd.2012.12.014
16 https://doi.org/10.1053/j.ajkd.2014.05.020
17 https://doi.org/10.1056/nejmoa1310345
18 https://doi.org/10.1093/ndt/gfq473
19 https://doi.org/10.1093/ndt/gfx188
20 https://doi.org/10.1097/01.asn.0000091586.46532.b4
21 https://doi.org/10.1681/asn.2013101138
22 https://doi.org/10.1681/asn.2015010016
23 https://doi.org/10.3949/ccjm.84a.16107
24 https://doi.org/10.5414/cnp57208
25 https://doi.org/10.7326/0003-4819-146-7-200704030-00005
26 schema:datePublished 2019-12
27 schema:datePublishedReg 2019-12-01
28 schema:description INTRODUCTION: Autosomal dominant polycystic kidney disease (ADPKD) affects all races. Whether the progression of ADPKD varies by race remains unclear. METHODS: In this retrospective cohort study from 2004 to 2013 non-Hispanic blacks and non-Hispanic whites of all ages classified in the US Renal Data System (USRDS) with incident ESRD from ADPKD (n = 23,647), hypertension/large vessel disease (n = 296,352), or diabetes mellitus (n = 451,760) were stratified into five-year age categories ranging from < 40 to > 75 (e.g., < 40, 40-44, 45-49, …, 75+). The Cochran-Mantel-Haenszel test was used to determine the association of race and incidence of ESRD from ADPKD, diabetes, or hypertension. The difference in the proportions of ESRD in non-Hispanic black and non-Hispanic white patients at each age categorical bin was compared by two-sample proportion test. The age of ESRD onset between non-Hispanic black and non-Hispanic white patients at each year was compared using two-sample t-test with unequal variance. RESULTS: 1.068% of non-Hispanic blacks and 2.778% of non-Hispanic whites had ESRD attributed to ADPKD. Non-Hispanic blacks were less likely than non-Hispanic whites to have ESRD attributed to ADPKD (odds ratio (OR) (95% CI) = 0.38 (0.36-0.39), p <  0.0001). Using US Census data as the denominator to adjust for population differences non-Hispanic blacks were still slightly under-represented (OR (95% CI) 0.94 (0.91-0.96), p = 0.004). However, non-Hispanic blacks with ADPKD had a younger age of ESRD (54.4 years ±13) than non-Hispanic whites (55.9 years ±12.8) (p <  0.0001). For those < 40 years old, more non-Hispanic blacks had incident ESRD from ADPKD than non-Hispanic whites (9.49% vs. 7.68%, difference (95% CI) = 1.81% (0.87-2.84%), p <  0.001) for the combined years examined. CONCLUSIONS: As previously shown, we find the incidence of ESRD from ADPKD in non-Hispanic blacks is lower than in non-Hispanic whites. Among the younger ADPKD population (age < 40), however, more non-Hispanic blacks initiated dialysis than non-Hispanic whites. Non-Hispanic blacks with ADPKD initiated dialysis younger than non-Hispanic whites. A potential implication of these findings may be that black race should be considered an additional risk factor for progression in ADPKD.
29 schema:genre research_article
30 schema:inLanguage en
31 schema:isAccessibleForFree true
32 schema:isPartOf N22b97d440df84f5e9f22de18a37c516a
33 N75ca9f678ff34de49040da65f4d603ca
34 sg:journal.1024626
35 schema:name Revisiting racial differences in ESRD due to ADPKD in the United States
36 schema:pagination 55
37 schema:productId N0c904fe6b4874f9cbdace0e4d63953c8
38 N1e85b8001b5a409d83c7a6817e40b82b
39 N4adebbe7b06f4b41a04e2a1c6af50b7b
40 Na596649796fc412ab44295353fa896e0
41 Nce1c0ef06382428fac5a6349625772d5
42 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112138979
43 https://doi.org/10.1186/s12882-019-1241-1
44 schema:sdDatePublished 2019-04-11T13:21
45 schema:sdLicense https://scigraph.springernature.com/explorer/license/
46 schema:sdPublisher Nfef81af1fdd240559f95fd9f09d51785
47 schema:url https://link.springer.com/10.1186%2Fs12882-019-1241-1
48 sgo:license sg:explorer/license/
49 sgo:sdDataset articles
50 rdf:type schema:ScholarlyArticle
51 N04cc66ce5ed84108bcf5ba1352c5eb78 schema:affiliation https://www.grid.ac/institutes/grid.47100.32
52 schema:familyName Liberti
53 schema:givenName Lauren
54 rdf:type schema:Person
55 N0c904fe6b4874f9cbdace0e4d63953c8 schema:name readcube_id
56 schema:value 7751dde6d8207c4326c9ca6763bd417a7b892075108608802105ae7c500e67e3
57 rdf:type schema:PropertyValue
58 N1e85b8001b5a409d83c7a6817e40b82b schema:name doi
59 schema:value 10.1186/s12882-019-1241-1
60 rdf:type schema:PropertyValue
61 N22b97d440df84f5e9f22de18a37c516a schema:volumeNumber 20
62 rdf:type schema:PublicationVolume
63 N3be143c71e6c4b32b70980409cbdaf97 schema:affiliation https://www.grid.ac/institutes/grid.47100.32
64 schema:familyName Blount
65 schema:givenName Katrina Lehmann
66 rdf:type schema:Person
67 N4adebbe7b06f4b41a04e2a1c6af50b7b schema:name dimensions_id
68 schema:value pub.1112138979
69 rdf:type schema:PropertyValue
70 N75ca9f678ff34de49040da65f4d603ca schema:issueNumber 1
71 rdf:type schema:PublicationIssue
72 N808abb7146f64c39ac547436ab4b0a7e rdf:first N3be143c71e6c4b32b70980409cbdaf97
73 rdf:rest Nd2fafea32d224b6e85dd843648fcd931
74 N8fbb77ed4e604b79a0bab60b0e2e5e44 schema:affiliation https://www.grid.ac/institutes/grid.47100.32
75 schema:familyName Dai
76 schema:givenName Feng
77 rdf:type schema:Person
78 N9f8edaee4b4f428c80d4915db4c1a80e rdf:first Nfdce03474d8447d08ca5610e7eb42f5f
79 rdf:rest Nb7a3964218f648db9f4c0733e9a35cd7
80 Na596649796fc412ab44295353fa896e0 schema:name pubmed_id
81 schema:value 30764782
82 rdf:type schema:PropertyValue
83 Nb7a3964218f648db9f4c0733e9a35cd7 rdf:first Nfbb1c2fe181e43e583f72f8640213729
84 rdf:rest rdf:nil
85 Nc4cf2e0a05d741f7bbd36800f5b53d00 schema:affiliation https://www.grid.ac/institutes/grid.47100.32
86 schema:familyName Murphy
87 schema:givenName Erin L.
88 rdf:type schema:Person
89 Ncd70bdd31a89445a95ac859ea2a12dc0 rdf:first N8fbb77ed4e604b79a0bab60b0e2e5e44
90 rdf:rest N808abb7146f64c39ac547436ab4b0a7e
91 Nce1c0ef06382428fac5a6349625772d5 schema:name nlm_unique_id
92 schema:value 100967793
93 rdf:type schema:PropertyValue
94 Nd2fafea32d224b6e85dd843648fcd931 rdf:first Nd6ca69dec86b461093890695a9d355c6
95 rdf:rest Nff4e7c7a45664c8793725bd2f64e6226
96 Nd6ca69dec86b461093890695a9d355c6 schema:affiliation https://www.grid.ac/institutes/grid.47100.32
97 schema:familyName Droher
98 schema:givenName Madeline L.
99 rdf:type schema:Person
100 Ndf968df94470435db3ad6058ea61cc8b rdf:first Nc4cf2e0a05d741f7bbd36800f5b53d00
101 rdf:rest Ncd70bdd31a89445a95ac859ea2a12dc0
102 Nfbb1c2fe181e43e583f72f8640213729 schema:affiliation https://www.grid.ac/institutes/grid.47100.32
103 schema:familyName Dahl
104 schema:givenName Neera K.
105 rdf:type schema:Person
106 Nfdce03474d8447d08ca5610e7eb42f5f schema:affiliation https://www.grid.ac/institutes/grid.21107.35
107 schema:familyName Crews
108 schema:givenName Deidra C.
109 rdf:type schema:Person
110 Nfef81af1fdd240559f95fd9f09d51785 schema:name Springer Nature - SN SciGraph project
111 rdf:type schema:Organization
112 Nff4e7c7a45664c8793725bd2f64e6226 rdf:first N04cc66ce5ed84108bcf5ba1352c5eb78
113 rdf:rest N9f8edaee4b4f428c80d4915db4c1a80e
114 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
115 schema:name Medical and Health Sciences
116 rdf:type schema:DefinedTerm
117 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
118 schema:name Clinical Sciences
119 rdf:type schema:DefinedTerm
120 sg:grant.5475983 http://pending.schema.org/fundedItem sg:pub.10.1186/s12882-019-1241-1
121 rdf:type schema:MonetaryGrant
122 sg:journal.1024626 schema:issn 1471-2369
123 schema:name BMC Nephrology
124 rdf:type schema:Periodical
125 sg:pub.10.1038/ki.2011.411 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008492146
126 https://doi.org/10.1038/ki.2011.411
127 rdf:type schema:CreativeWork
128 sg:pub.10.1038/ki.2015.59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046010918
129 https://doi.org/10.1038/ki.2015.59
130 rdf:type schema:CreativeWork
131 sg:pub.10.1046/j.1523-1755.2000.00250.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1046935246
132 https://doi.org/10.1046/j.1523-1755.2000.00250.x
133 rdf:type schema:CreativeWork
134 sg:pub.10.1046/j.1523-1755.2003.00185.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1012820074
135 https://doi.org/10.1046/j.1523-1755.2003.00185.x
136 rdf:type schema:CreativeWork
137 https://app.dimensions.ai/details/publication/pub.1082608487 schema:CreativeWork
138 https://doi.org/10.1016/j.kint.2017.09.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100101246
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1016/j.semnephrol.2013.07.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019970934
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1016/s0272-6386(00)70298-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012991645
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1053/j.ackd.2014.06.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038838845
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1053/j.ajkd.2003.10.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000239529
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1053/j.ajkd.2007.11.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025612446
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1053/j.ajkd.2012.12.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042897098
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1053/j.ajkd.2014.05.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010628343
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1056/nejmoa1310345 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045503207
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1093/ndt/gfq473 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033862917
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1093/ndt/gfx188 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085247491
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1097/01.asn.0000091586.46532.b4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060319349
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1681/asn.2013101138 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028334982
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1681/asn.2015010016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010536179
165 rdf:type schema:CreativeWork
166 https://doi.org/10.3949/ccjm.84a.16107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086130191
167 rdf:type schema:CreativeWork
168 https://doi.org/10.5414/cnp57208 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072832364
169 rdf:type schema:CreativeWork
170 https://doi.org/10.7326/0003-4819-146-7-200704030-00005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073709227
171 rdf:type schema:CreativeWork
172 https://www.grid.ac/institutes/grid.21107.35 schema:alternateName Johns Hopkins University
173 schema:name Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
174 rdf:type schema:Organization
175 https://www.grid.ac/institutes/grid.47100.32 schema:alternateName Yale University
176 schema:name Biostatistics, Yale University School of Public Health, 06511, New Haven, CT, USA
177 Section of Nephrology, Yale University School of Medicine, 06520, New Haven, CT, USA
178 rdf:type schema:Organization
 




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


...