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Multivariable analysis by Cox regression model—All-cause mo..:

Thiago Artioli (14333994) ; Danielle Menosi Gualandro (11225667) ; Francisco Akira Malta Cardozo (7234661)...
https://figshare.com/articles/dataset/Multivariable_analysis_by_Cox_regression_model_All-cause_mortality_/21823005. , 2023

Link: https://doi.org/10.1371/journal.pone.0279873.t003

RT Journal
T1 <Title>Multivariable analysis by Cox regression model—All-cause mortality</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftunivfreestate:oai:figshare.com:article_21823005&Exemplar=1&LAN=DE
				
A1 Thiago Artioli (14333994)
A1 Danielle Menosi Gualandro (11225667)
A1 Francisco Akira Malta Cardozo (7234661)
A1 María Carmen Escalante Rojas (14333997)
A1 Daniela Calderaro (365040)
A1 Pai Ching Yu (14012379)
A1 Ivan Benaduce Casella (14334000)
A1 Nelson de Luccia (14334003)
A1 Bruno Caramelli (365045)
YR 2023
K1 Medicine
K1 Physiology
K1 Biotechnology
K1 Developmental Biology
K1 Science Policy
K1 Infectious Diseases
K1 perioperative myocardial injury
K1 performed may influence
K1 acute heart failure
K1 9 &# 8211
K1 79 %)
K1 major cardiovascular complications
K1 3 &# 8211
K1 1 &# 8211
K1 21 %) surgeries
K1 3 ]
K1 p
K1 cause mortality rates
K1 7 ]
K1 2 ]
K1 patients undergoing non
K1 xlink "> 1
K1 xlink ">
K1 cause mortality
K1 01 p
K1 cardiovascular outcomes
K1 cardiovascular death
K1 267 patients
K1 ci 1
K1 ahr 1
K1 underwent surgery
K1 underwent non
K1 two groups
K1 significant difference
K1 secondary endpoints
K1 respectively )
K1 prospectively included
K1 primary endpoint
K1 one year
K1 independently associated
K1 higher among
K1 evaluate whether
K1 daytime variation
K1 cardiac surgeries
K1 cardiac outcomes
K1 30 days
JF https://figshare.com/articles/dataset/Multivariable_analysis_by_Cox_regression_model_All-cause_mortality_/21823005
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0279873.t003
DO https://doi.org/10.1371/journal.pone.0279873.t003
SF ELIB - SuUB Bremen

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