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Predicting mortality after start of long-term dialysis-International validation of one- and two-year prediction models.
Haapio, Mikko; van Diepen, Merel; Steenkamp, Retha; Helve, Jaakko; Dekker, Friedo W; Caskey, Fergus; Finne, Patrik.
Affiliation
  • Haapio M; Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
  • van Diepen M; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
  • Steenkamp R; UK Renal Registry, Bristol, United Kingdom.
  • Helve J; Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
  • Dekker FW; Finnish Registry for Kidney Diseases, Helsinki, Finland.
  • Caskey F; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
  • Finne P; Population Health Sciences, University of Bristol, Bristol, United Kingdom.
PLoS One ; 18(2): e0280831, 2023.
Article in En | MEDLINE | ID: mdl-36812268
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Renal Dialysis / Renal Replacement Therapy Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2023 Type: Article Affiliation country: Finland
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Renal Dialysis / Renal Replacement Therapy Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2023 Type: Article Affiliation country: Finland