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Multicenter Validation of the CamGFR Model for Estimated Glomerular Filtration Rate.
Williams, Edward H; Connell, Claire M; Weaver, James M J; Beh, Ian; Potts, Harry; Whitley, Cameron T; Bird, Nicholas; Al-Sayed, Tamer; Monaghan, Phillip J; Fehr, Martin; Cathomas, Richard; Bertelli, Gianfilippo; Quinton, Amy; Lewis, Paul; Shamash, Jonathan; Wilson, Peter; Dooley, Michael; Poole, Susan; Mark, Patrick B; Bookman, Michael A; Earl, Helena; Jodrell, Duncan; Tavaré, Simon; Lynch, Andy G; Janowitz, Tobias.
Afiliação
  • Williams EH; See the Notes section for the full list of authors' affiliations.
  • Connell CM; See the Notes section for the full list of authors' affiliations.
  • Weaver JMJ; See the Notes section for the full list of authors' affiliations.
  • Beh I; See the Notes section for the full list of authors' affiliations.
  • Potts H; See the Notes section for the full list of authors' affiliations.
  • Whitley CT; See the Notes section for the full list of authors' affiliations.
  • Bird N; See the Notes section for the full list of authors' affiliations.
  • Al-Sayed T; See the Notes section for the full list of authors' affiliations.
  • Monaghan PJ; See the Notes section for the full list of authors' affiliations.
  • Fehr M; See the Notes section for the full list of authors' affiliations.
  • Cathomas R; See the Notes section for the full list of authors' affiliations.
  • Bertelli G; See the Notes section for the full list of authors' affiliations.
  • Quinton A; See the Notes section for the full list of authors' affiliations.
  • Lewis P; See the Notes section for the full list of authors' affiliations.
  • Shamash J; See the Notes section for the full list of authors' affiliations.
  • Wilson P; See the Notes section for the full list of authors' affiliations.
  • Dooley M; See the Notes section for the full list of authors' affiliations.
  • Poole S; See the Notes section for the full list of authors' affiliations.
  • Mark PB; See the Notes section for the full list of authors' affiliations.
  • Bookman MA; See the Notes section for the full list of authors' affiliations.
  • Earl H; See the Notes section for the full list of authors' affiliations.
  • Jodrell D; See the Notes section for the full list of authors' affiliations.
  • Tavaré S; See the Notes section for the full list of authors' affiliations.
  • Lynch AG; See the Notes section for the full list of authors' affiliations.
  • Janowitz T; See the Notes section for the full list of authors' affiliations.
JNCI Cancer Spectr ; 3(4): pkz068, 2019 Dec.
Article em En | MEDLINE | ID: mdl-31750418
ABSTRACT
Important oncological management decisions rely on kidney function assessed by serum creatinine-based estimated glomerular filtration rate (eGFR). However, no large-scale multicenter comparisons of methods to determine eGFR in patients with cancer are available. To compare the performance of formulas for eGFR based on routine clinical parameters and serum creatinine not calibrated with isotope dilution mass spectrometry, we studied 3620 patients with cancer and 166 without cancer who had their glomerular filtration rate (GFR) measured with an exogenous nuclear tracer at one of seven clinical centers. The mean measured GFR was 86 mL/min. Accuracy of all models was center dependent, reflecting intercenter variability of isotope dilution mass spectrometry-creatinine measurements. CamGFR was the most accurate model for eGFR (root-mean-squared error 17.3 mL/min) followed by the Chronic Kidney Disease Epidemiology Collaboration model (root-mean-squared error 18.2 mL/min).

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article