Selection and evaluation of preoperative systemic inflammatory response biomarkers model prior to cy...
Selection and evaluation of preoperative systemic inflammatory response biomarkers model prior to cytoreductive nephrectomy using a machine-learning approach
About this item
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Author / Creator
Laukhtina, Ekaterina , Schuettfort, Victor M. , D’Andrea, David , Pradere, Benjamin , Quhal, Fahad , Mori, Keiichiro , Sari Motlagh, Reza , Mostafaei, Hadi , Katayama, Satoshi , Grossmann, Nico C. , Rajwa, Pawel , Karakiewicz, Pierre I. , Schmidinger, Manuela , Fajkovic, Harun , Enikeev, Dmitry and Shariat, Shahrokh F.
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
Formats
Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Subjects
More information
Scope and Contents
Contents
Introduction
This study aimed to determine the prognostic value of a panel of SIR-biomarkers, relative to standard clinicopathological variables, to improve mRCC patient selection for cytoreductive nephrectomy (CN).
Material and methods
A panel of preoperative SIR-biomarkers, including the albumin–globulin ratio (AGR), De Ritis ratio (DRR)...
Alternative Titles
Full title
Selection and evaluation of preoperative systemic inflammatory response biomarkers model prior to cytoreductive nephrectomy using a machine-learning approach
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8948147
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8948147
Other Identifiers
ISSN
1433-8726,0724-4983
E-ISSN
1433-8726
DOI
10.1007/s00345-021-03844-w
