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Predictive Model of the Risk of In-Hospital Mortality in Colorectal Cancer Surgery, Based on the Minimum Basic Data Set

Dados Bibliográficos

ID15466554
AutoresJuan Manuel García‐Torrecillas (0000-0002-0923-5899, Instituto de Investigación Biosanitaria de Granada, autor correspondente), María del Carmen Olvera Porcel (0000-0002-8374-064X, Complejo Hospitalario Torrecárdenas), Manuel Ferrer‐Márquez (0000-0002-9829-9252, Complejo Hospitalario Torrecárdenas), Carmen Rosa‐Garrido (0000-0003-4677-2199, Complejo Hospitalario de Jaén), Miguel Rodriguez-Barranco (0000-0002-9972-9779, Instituto de Investigación Biosanitaria de Granada), María Carmen Lea-Pereira (Hospital de Poniente), Francisco Rubio-Gil (0000-0002-4813-2761, Complejo Hospitalario Torrecárdenas), María‐jose Sánchez (0000-0003-4817-0757, Universidad de Granada)
Ano2020
Volume17
Fascículo12
Páginas4216-4216
Data de publicação2020-06-12
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores do periódicoISSN: 1661-7827 • E-ISSN: 1660-4601
EditoraMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph17124216
PMID32545670
OpenAlexW3034963284
IdiomaEN
Referências citadas33

This mortality model is the first to be based on administrative clinical databases and hospitalization episodes. The model achieves a moderate-high level of discrimination

Cancer · Colorectal cancer · Data set · General surgery · Minimum Data Set · Set (abstract data type · Statistics · Cardiac, Anesthesia and Surgical Outcomes · Clinical practice guidelines implementation · Computer Science · Hip and Femur Fractures · Mathematics · Medicine · Nursing · Internal Medicine · Surgery

  • Regression Modeling Strategies

    Open Access•Frank E Harrell, Frank E Jr Harrell•Regression Modeling Strategies•2001

  • Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves

    Elizabeth R DeLong, David M Delong et al.•Biometrics•1988

Velocidade de citaçãohistorical
Altamente citadoNão
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