A joint model for longitudinal and time-to-event data to better assess the specific role of donor and recipient factors on ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-05

AUTHORS

Marie-Cécile Fournier, Yohann Foucher, Paul Blanche, Fanny Buron, Magali Giral, Etienne Dantan

ABSTRACT

In renal transplantation, serum creatinine (SCr) is the main biomarker routinely measured to assess patient's health, with chronic increases being strongly associated with long-term graft failure risk (death with a functioning graft or return to dialysis). Joint modeling may be useful to identify the specific role of risk factors on chronic evolution of kidney transplant recipients: some can be related to the SCr evolution, finally leading to graft failure, whereas others can be associated with graft failure without any modification of SCr. Sample data for 2749 patients transplanted between 2000 and 2013 with a functioning kidney at 1-year post-transplantation were obtained from the DIVAT cohort. A shared random effect joint model for longitudinal SCr values and time to graft failure was performed. We show that graft failure risk depended on both the current value and slope of the SCr. Deceased donor graft patient seemed to have a higher SCr increase, similar to patient with diabetes history, while no significant association of these two features with graft failure risk was found. Patient with a second graft was at higher risk of graft failure, independent of changes in SCr values. Anti-HLA immunization was associated with both processes simultaneously. Joint models for repeated and time-to-event data bring new opportunities to improve the epidemiological knowledge of chronic diseases. For instance in renal transplantation, several features should receive additional attention as we demonstrated their correlation with graft failure risk was independent of the SCr evolution. More... »

PAGES

469-479

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10654-016-0121-2

DOI

http://dx.doi.org/10.1007/s10654-016-0121-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1045308076

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26832337


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": "Biomarkers", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Creatinine", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Graft Rejection", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Graft Survival", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Kidney", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Kidney Failure, Chronic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Kidney Transplantation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Living Donors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Biological", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Predictive Value of Tests", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Time Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tissue Donors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Transplant Recipients", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Treatment Outcome", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Centre Hospitalier Universitaire de Nantes", 
          "id": "https://www.grid.ac/institutes/grid.277151.7", 
          "name": [
            "EA4275 SPHERE - bioStatistics, Pharmacoepidemiology and Human sciEnces REsearch, Nantes University, 1 rue Gaston Veil, 44035, Nantes, France", 
            "Labex Transplantex, Inserm U1064, Institut de Transplantation Urologie N\u00e9phrologie (ITUN), Nantes University Hospital, Nantes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fournier", 
        "givenName": "Marie-C\u00e9cile", 
        "id": "sg:person.01062450441.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01062450441.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Nantes", 
          "id": "https://www.grid.ac/institutes/grid.4817.a", 
          "name": [
            "EA4275 SPHERE - bioStatistics, Pharmacoepidemiology and Human sciEnces REsearch, Nantes University, 1 rue Gaston Veil, 44035, Nantes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Foucher", 
        "givenName": "Yohann", 
        "id": "sg:person.0576222220.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0576222220.96"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Copenhagen", 
          "id": "https://www.grid.ac/institutes/grid.5254.6", 
          "name": [
            "Department of Biostatistics, University of Copenhagen, Copenhagen, Denmark"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Blanche", 
        "givenName": "Paul", 
        "id": "sg:person.01311012260.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01311012260.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital \u00c9douard-Herriot", 
          "id": "https://www.grid.ac/institutes/grid.412180.e", 
          "name": [
            "Service de N\u00e9phrologie, Transplantation et Immunologie Clinique, H\u00f4pital Edouard Herriot, Lyon, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Buron", 
        "givenName": "Fanny", 
        "id": "sg:person.0701057504.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0701057504.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre d'investigation clinique", 
          "id": "https://www.grid.ac/institutes/grid.429536.f", 
          "name": [
            "Labex Transplantex, Inserm U1064, Institut de Transplantation Urologie N\u00e9phrologie (ITUN), Nantes University Hospital, Nantes, France", 
            "Centre d\u2019investigation clinique bioth\u00e9rapie, Nantes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Giral", 
        "givenName": "Magali", 
        "id": "sg:person.0602324355.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0602324355.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Nantes", 
          "id": "https://www.grid.ac/institutes/grid.4817.a", 
          "name": [
            "EA4275 SPHERE - bioStatistics, Pharmacoepidemiology and Human sciEnces REsearch, Nantes University, 1 rue Gaston Veil, 44035, Nantes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dantan", 
        "givenName": "Etienne", 
        "id": "sg:person.0753076047.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0753076047.34"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1111/j.1467-985x.2007.00514.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000855174"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/sim.4205", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001296479"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1373/clinchem.2009.135111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003359862"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ndtplus/sfq063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003849708"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ndt/gfs606", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004361303"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.athoracsur.2012.02.049", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005445189"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/tp.0b013e3182301602", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006452986"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/tp.0b013e3182301602", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006452986"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ije/dyu262", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007060095"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ije/dyu262", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007060095"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ki.2014.304", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011677797", 
          "https://doi.org/10.1038/ki.2014.304"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmra054415", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012143696"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.phrs.2013.03.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014561724"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1600-6143.2004.00579.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019656473"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1046/j.1523-1755.2002.00424.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022386157", 
          "https://doi.org/10.1046/j.1523-1755.2002.00424.x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/ajt.12053", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030141209"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/tp.0000000000000377", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032005164"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/tp.0000000000000377", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032005164"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11749-009-0138-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034747807", 
          "https://doi.org/10.1007/s11749-009-0138-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0895-4356(03)00004-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036088574"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0895-4356(03)00004-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036088574"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/08860220801947686", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038467971"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0258(19971015)16:19<2191::aid-sim645>3.0.co;2-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039946403"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00007890-199506270-00007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040791116"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00007890-199506270-00007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040791116"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/ajkd.2002.31996", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045894608"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ki.2010.232", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048887278", 
          "https://doi.org/10.1038/ki.2010.232"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ndt/gfu320", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050887858"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.ajkd.2010.06.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051053978"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000180580", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051087304"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmra011295", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052030577"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.18637/jss.v035.i09", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068672533"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2533118", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069978524"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4244/eijv10i2a47", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072398290"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/0003-4819-130-6-199903160-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073703194"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/0003-4819-139-2-200307150-00013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073706427"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/0003-4819-150-9-200905050-00006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073710774"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1201/b12208", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1109727205"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-05", 
    "datePublishedReg": "2016-05-01", 
    "description": "In renal transplantation, serum creatinine (SCr) is the main biomarker routinely measured to assess patient's health, with chronic increases being strongly associated with long-term graft failure risk (death with a functioning graft or return to dialysis). Joint modeling may be useful to identify the specific role of risk factors on chronic evolution of kidney transplant recipients: some can be related to the SCr evolution, finally leading to graft failure, whereas others can be associated with graft failure without any modification of SCr. Sample data for 2749 patients transplanted between 2000 and 2013 with a functioning kidney at 1-year post-transplantation were obtained from the DIVAT cohort. A shared random effect joint model for longitudinal SCr values and time to graft failure was performed. We show that graft failure risk depended on both the current value and slope of the SCr. Deceased donor graft patient seemed to have a higher SCr increase, similar to patient with diabetes history, while no significant association of these two features with graft failure risk was found. Patient with a second graft was at higher risk of graft failure, independent of changes in SCr values. Anti-HLA immunization was associated with both processes simultaneously. Joint models for repeated and time-to-event data bring new opportunities to improve the epidemiological knowledge of chronic diseases. For instance in renal transplantation, several features should receive additional attention as we demonstrated their correlation with graft failure risk was independent of the SCr evolution.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10654-016-0121-2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1095636", 
        "issn": [
          "0393-2990", 
          "1573-7284"
        ], 
        "name": "European Journal of Epidemiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "31"
      }
    ], 
    "name": "A joint model for longitudinal and time-to-event data to better assess the specific role of donor and recipient factors on long-term kidney transplantation outcomes", 
    "pagination": "469-479", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "d7d1c8596c03636556f4e8d9cb09cdc265d0b3039e6ada7959e37402f7d860df"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26832337"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8508062"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10654-016-0121-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1045308076"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10654-016-0121-2", 
      "https://app.dimensions.ai/details/publication/pub.1045308076"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T16:03", 
    "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/v90/0000000001_0000000264/records_8664_00000593.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs10654-016-0121-2"
  }
]
 

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/s10654-016-0121-2'

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/s10654-016-0121-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10654-016-0121-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10654-016-0121-2'


 

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

289 TRIPLES      21 PREDICATES      79 URIs      38 LITERALS      26 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10654-016-0121-2 schema:about N0468221d569d487ba46b588f31a2aa40
2 N08065d9051f44974a3b10d9cc27e046c
3 N169c15488ff4432782899a7b1f8fc5f6
4 N3872a0865c3744eb8ab080cb78c29480
5 N8324b8f9d38a48958acebc5660bc0680
6 N88577a4aad394d97bfcc9cae0da8a830
7 N93bc5dc1002d45efa2c89097138f169e
8 N97264ca82675426c9cdebe9a78094268
9 N978dc1f6bdd24860a18ce01c74bf4c87
10 N9abbc910e8f54c2c810d190956b0be57
11 N9f3d2df4b3024752a4c9522d4c50cdc4
12 Na3e05c32db274a7f8c3719f1da9548df
13 Nb75b5c00b85a4ba2a9c3e17d3eb0dcb7
14 Nbaf8625d3e124407b373d4b5165c2fd1
15 Nd0074668687a43b5b50b79d174a02ed4
16 Nd2984ee2edff42089dfc222b85307b77
17 Nd9b2baaae1514a198076b736692f5891
18 anzsrc-for:11
19 anzsrc-for:1103
20 schema:author Ndf20a81505c546fa8030f64e0cc28ae6
21 schema:citation sg:pub.10.1007/s11749-009-0138-x
22 sg:pub.10.1038/ki.2010.232
23 sg:pub.10.1038/ki.2014.304
24 sg:pub.10.1046/j.1523-1755.2002.00424.x
25 https://doi.org/10.1002/(sici)1097-0258(19971015)16:19<2191::aid-sim645>3.0.co;2-5
26 https://doi.org/10.1002/sim.4205
27 https://doi.org/10.1016/j.athoracsur.2012.02.049
28 https://doi.org/10.1016/j.phrs.2013.03.009
29 https://doi.org/10.1016/s0895-4356(03)00004-0
30 https://doi.org/10.1053/ajkd.2002.31996
31 https://doi.org/10.1053/j.ajkd.2010.06.020
32 https://doi.org/10.1056/nejmra011295
33 https://doi.org/10.1056/nejmra054415
34 https://doi.org/10.1080/08860220801947686
35 https://doi.org/10.1093/ije/dyu262
36 https://doi.org/10.1093/ndt/gfs606
37 https://doi.org/10.1093/ndt/gfu320
38 https://doi.org/10.1093/ndtplus/sfq063
39 https://doi.org/10.1097/00007890-199506270-00007
40 https://doi.org/10.1097/tp.0000000000000377
41 https://doi.org/10.1097/tp.0b013e3182301602
42 https://doi.org/10.1111/ajt.12053
43 https://doi.org/10.1111/j.1467-985x.2007.00514.x
44 https://doi.org/10.1111/j.1600-6143.2004.00579.x
45 https://doi.org/10.1159/000180580
46 https://doi.org/10.1201/b12208
47 https://doi.org/10.1373/clinchem.2009.135111
48 https://doi.org/10.18637/jss.v035.i09
49 https://doi.org/10.2307/2533118
50 https://doi.org/10.4244/eijv10i2a47
51 https://doi.org/10.7326/0003-4819-130-6-199903160-00002
52 https://doi.org/10.7326/0003-4819-139-2-200307150-00013
53 https://doi.org/10.7326/0003-4819-150-9-200905050-00006
54 schema:datePublished 2016-05
55 schema:datePublishedReg 2016-05-01
56 schema:description In renal transplantation, serum creatinine (SCr) is the main biomarker routinely measured to assess patient's health, with chronic increases being strongly associated with long-term graft failure risk (death with a functioning graft or return to dialysis). Joint modeling may be useful to identify the specific role of risk factors on chronic evolution of kidney transplant recipients: some can be related to the SCr evolution, finally leading to graft failure, whereas others can be associated with graft failure without any modification of SCr. Sample data for 2749 patients transplanted between 2000 and 2013 with a functioning kidney at 1-year post-transplantation were obtained from the DIVAT cohort. A shared random effect joint model for longitudinal SCr values and time to graft failure was performed. We show that graft failure risk depended on both the current value and slope of the SCr. Deceased donor graft patient seemed to have a higher SCr increase, similar to patient with diabetes history, while no significant association of these two features with graft failure risk was found. Patient with a second graft was at higher risk of graft failure, independent of changes in SCr values. Anti-HLA immunization was associated with both processes simultaneously. Joint models for repeated and time-to-event data bring new opportunities to improve the epidemiological knowledge of chronic diseases. For instance in renal transplantation, several features should receive additional attention as we demonstrated their correlation with graft failure risk was independent of the SCr evolution.
57 schema:genre research_article
58 schema:inLanguage en
59 schema:isAccessibleForFree false
60 schema:isPartOf N8f9e66df3f7d4947892c69c31351abc2
61 Nd468f626e7344c96bfbaf6b6a67ab6ec
62 sg:journal.1095636
63 schema:name A joint model for longitudinal and time-to-event data to better assess the specific role of donor and recipient factors on long-term kidney transplantation outcomes
64 schema:pagination 469-479
65 schema:productId N87b2d7ffb1bd4470bc831ad5eda16258
66 N981efefe79e7448aa8c480e2903f57f6
67 Na4294d64ba9a490ca6356bc07f99b314
68 Naee73880afe74cae9507bff27838a994
69 Nef0a18aa69894467b021d30e8a14ac2c
70 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045308076
71 https://doi.org/10.1007/s10654-016-0121-2
72 schema:sdDatePublished 2019-04-10T16:03
73 schema:sdLicense https://scigraph.springernature.com/explorer/license/
74 schema:sdPublisher N2e0c6b4cff704584a43eab61efc7b986
75 schema:url http://link.springer.com/10.1007%2Fs10654-016-0121-2
76 sgo:license sg:explorer/license/
77 sgo:sdDataset articles
78 rdf:type schema:ScholarlyArticle
79 N0468221d569d487ba46b588f31a2aa40 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
80 schema:name Biomarkers
81 rdf:type schema:DefinedTerm
82 N08065d9051f44974a3b10d9cc27e046c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name Kidney
84 rdf:type schema:DefinedTerm
85 N169c15488ff4432782899a7b1f8fc5f6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name Humans
87 rdf:type schema:DefinedTerm
88 N2e0c6b4cff704584a43eab61efc7b986 schema:name Springer Nature - SN SciGraph project
89 rdf:type schema:Organization
90 N3872a0865c3744eb8ab080cb78c29480 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
91 schema:name Models, Biological
92 rdf:type schema:DefinedTerm
93 N784a5e8b831f41ef91a322176556f379 rdf:first sg:person.0576222220.96
94 rdf:rest Nacbc993ae63e4b7892dace1a2a74b17a
95 N8324b8f9d38a48958acebc5660bc0680 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Risk Factors
97 rdf:type schema:DefinedTerm
98 N87b2d7ffb1bd4470bc831ad5eda16258 schema:name nlm_unique_id
99 schema:value 8508062
100 rdf:type schema:PropertyValue
101 N88577a4aad394d97bfcc9cae0da8a830 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Living Donors
103 rdf:type schema:DefinedTerm
104 N8f9e66df3f7d4947892c69c31351abc2 schema:volumeNumber 31
105 rdf:type schema:PublicationVolume
106 N93bc5dc1002d45efa2c89097138f169e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Predictive Value of Tests
108 rdf:type schema:DefinedTerm
109 N97264ca82675426c9cdebe9a78094268 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Transplant Recipients
111 rdf:type schema:DefinedTerm
112 N978dc1f6bdd24860a18ce01c74bf4c87 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Time Factors
114 rdf:type schema:DefinedTerm
115 N981efefe79e7448aa8c480e2903f57f6 schema:name doi
116 schema:value 10.1007/s10654-016-0121-2
117 rdf:type schema:PropertyValue
118 N9abbc910e8f54c2c810d190956b0be57 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Treatment Outcome
120 rdf:type schema:DefinedTerm
121 N9f3d2df4b3024752a4c9522d4c50cdc4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Graft Rejection
123 rdf:type schema:DefinedTerm
124 Na3e05c32db274a7f8c3719f1da9548df schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Female
126 rdf:type schema:DefinedTerm
127 Na4294d64ba9a490ca6356bc07f99b314 schema:name dimensions_id
128 schema:value pub.1045308076
129 rdf:type schema:PropertyValue
130 Nacbc993ae63e4b7892dace1a2a74b17a rdf:first sg:person.01311012260.84
131 rdf:rest Nbdea2a08c3854e1b876c585a2760420d
132 Naee73880afe74cae9507bff27838a994 schema:name pubmed_id
133 schema:value 26832337
134 rdf:type schema:PropertyValue
135 Nb75b5c00b85a4ba2a9c3e17d3eb0dcb7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Graft Survival
137 rdf:type schema:DefinedTerm
138 Nbaf8625d3e124407b373d4b5165c2fd1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Creatinine
140 rdf:type schema:DefinedTerm
141 Nbdea2a08c3854e1b876c585a2760420d rdf:first sg:person.0701057504.55
142 rdf:rest Nd91989d7e50842fd916eedf4416a0746
143 Nd0074668687a43b5b50b79d174a02ed4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Kidney Failure, Chronic
145 rdf:type schema:DefinedTerm
146 Nd2984ee2edff42089dfc222b85307b77 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Tissue Donors
148 rdf:type schema:DefinedTerm
149 Nd468f626e7344c96bfbaf6b6a67ab6ec schema:issueNumber 5
150 rdf:type schema:PublicationIssue
151 Nd91989d7e50842fd916eedf4416a0746 rdf:first sg:person.0602324355.01
152 rdf:rest Ndbddfef137604a52b35ad750f84f0209
153 Nd9b2baaae1514a198076b736692f5891 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Kidney Transplantation
155 rdf:type schema:DefinedTerm
156 Ndbddfef137604a52b35ad750f84f0209 rdf:first sg:person.0753076047.34
157 rdf:rest rdf:nil
158 Ndf20a81505c546fa8030f64e0cc28ae6 rdf:first sg:person.01062450441.11
159 rdf:rest N784a5e8b831f41ef91a322176556f379
160 Nef0a18aa69894467b021d30e8a14ac2c schema:name readcube_id
161 schema:value d7d1c8596c03636556f4e8d9cb09cdc265d0b3039e6ada7959e37402f7d860df
162 rdf:type schema:PropertyValue
163 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
164 schema:name Medical and Health Sciences
165 rdf:type schema:DefinedTerm
166 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
167 schema:name Clinical Sciences
168 rdf:type schema:DefinedTerm
169 sg:journal.1095636 schema:issn 0393-2990
170 1573-7284
171 schema:name European Journal of Epidemiology
172 rdf:type schema:Periodical
173 sg:person.01062450441.11 schema:affiliation https://www.grid.ac/institutes/grid.277151.7
174 schema:familyName Fournier
175 schema:givenName Marie-Cécile
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01062450441.11
177 rdf:type schema:Person
178 sg:person.01311012260.84 schema:affiliation https://www.grid.ac/institutes/grid.5254.6
179 schema:familyName Blanche
180 schema:givenName Paul
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01311012260.84
182 rdf:type schema:Person
183 sg:person.0576222220.96 schema:affiliation https://www.grid.ac/institutes/grid.4817.a
184 schema:familyName Foucher
185 schema:givenName Yohann
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0576222220.96
187 rdf:type schema:Person
188 sg:person.0602324355.01 schema:affiliation https://www.grid.ac/institutes/grid.429536.f
189 schema:familyName Giral
190 schema:givenName Magali
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0602324355.01
192 rdf:type schema:Person
193 sg:person.0701057504.55 schema:affiliation https://www.grid.ac/institutes/grid.412180.e
194 schema:familyName Buron
195 schema:givenName Fanny
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0701057504.55
197 rdf:type schema:Person
198 sg:person.0753076047.34 schema:affiliation https://www.grid.ac/institutes/grid.4817.a
199 schema:familyName Dantan
200 schema:givenName Etienne
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0753076047.34
202 rdf:type schema:Person
203 sg:pub.10.1007/s11749-009-0138-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1034747807
204 https://doi.org/10.1007/s11749-009-0138-x
205 rdf:type schema:CreativeWork
206 sg:pub.10.1038/ki.2010.232 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048887278
207 https://doi.org/10.1038/ki.2010.232
208 rdf:type schema:CreativeWork
209 sg:pub.10.1038/ki.2014.304 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011677797
210 https://doi.org/10.1038/ki.2014.304
211 rdf:type schema:CreativeWork
212 sg:pub.10.1046/j.1523-1755.2002.00424.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1022386157
213 https://doi.org/10.1046/j.1523-1755.2002.00424.x
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1002/(sici)1097-0258(19971015)16:19<2191::aid-sim645>3.0.co;2-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039946403
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1002/sim.4205 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001296479
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1016/j.athoracsur.2012.02.049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005445189
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1016/j.phrs.2013.03.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014561724
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1016/s0895-4356(03)00004-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036088574
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1053/ajkd.2002.31996 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045894608
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1053/j.ajkd.2010.06.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051053978
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1056/nejmra011295 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052030577
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1056/nejmra054415 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012143696
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1080/08860220801947686 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038467971
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1093/ije/dyu262 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007060095
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1093/ndt/gfs606 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004361303
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1093/ndt/gfu320 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050887858
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1093/ndtplus/sfq063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003849708
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1097/00007890-199506270-00007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040791116
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1097/tp.0000000000000377 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032005164
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1097/tp.0b013e3182301602 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006452986
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1111/ajt.12053 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030141209
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1111/j.1467-985x.2007.00514.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1000855174
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1111/j.1600-6143.2004.00579.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1019656473
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1159/000180580 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051087304
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1201/b12208 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109727205
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1373/clinchem.2009.135111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003359862
260 rdf:type schema:CreativeWork
261 https://doi.org/10.18637/jss.v035.i09 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068672533
262 rdf:type schema:CreativeWork
263 https://doi.org/10.2307/2533118 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069978524
264 rdf:type schema:CreativeWork
265 https://doi.org/10.4244/eijv10i2a47 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072398290
266 rdf:type schema:CreativeWork
267 https://doi.org/10.7326/0003-4819-130-6-199903160-00002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073703194
268 rdf:type schema:CreativeWork
269 https://doi.org/10.7326/0003-4819-139-2-200307150-00013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073706427
270 rdf:type schema:CreativeWork
271 https://doi.org/10.7326/0003-4819-150-9-200905050-00006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073710774
272 rdf:type schema:CreativeWork
273 https://www.grid.ac/institutes/grid.277151.7 schema:alternateName Centre Hospitalier Universitaire de Nantes
274 schema:name EA4275 SPHERE - bioStatistics, Pharmacoepidemiology and Human sciEnces REsearch, Nantes University, 1 rue Gaston Veil, 44035, Nantes, France
275 Labex Transplantex, Inserm U1064, Institut de Transplantation Urologie Néphrologie (ITUN), Nantes University Hospital, Nantes, France
276 rdf:type schema:Organization
277 https://www.grid.ac/institutes/grid.412180.e schema:alternateName Hôpital Édouard-Herriot
278 schema:name Service de Néphrologie, Transplantation et Immunologie Clinique, Hôpital Edouard Herriot, Lyon, France
279 rdf:type schema:Organization
280 https://www.grid.ac/institutes/grid.429536.f schema:alternateName Centre d'investigation clinique
281 schema:name Centre d’investigation clinique biothérapie, Nantes, France
282 Labex Transplantex, Inserm U1064, Institut de Transplantation Urologie Néphrologie (ITUN), Nantes University Hospital, Nantes, France
283 rdf:type schema:Organization
284 https://www.grid.ac/institutes/grid.4817.a schema:alternateName University of Nantes
285 schema:name EA4275 SPHERE - bioStatistics, Pharmacoepidemiology and Human sciEnces REsearch, Nantes University, 1 rue Gaston Veil, 44035, Nantes, France
286 rdf:type schema:Organization
287 https://www.grid.ac/institutes/grid.5254.6 schema:alternateName University of Copenhagen
288 schema:name Department of Biostatistics, University of Copenhagen, Copenhagen, Denmark
289 rdf:type schema:Organization
 




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


...