Literature DB >> 22584794

Calibration strategies to validate predictive models: is new always better?

Nicolás Serrano.   

Abstract

Mesh：

Year:  2012        PMID： 22584794     DOI： 10.1007/s00134-012-2579-z

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN： 0342-4642            Impact factor:   17.440


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  28 in total

1.  Validation of the SAPS 3 admission prognostic model in patients with cancer in need of intensive care.

Authors:  Márcio Soares; Jorge I F Salluh
Journal:  Intensive Care Med       Date:  2006-09-15       Impact factor: 17.440

2.  Applicability of the simplified acute physiology score (SAPS 3) in Brazilian hospitals.

Authors:  João Manoel Silva Junior; Luiz M Sá Malbouisson; Hector L Nuevo; Luiz Gustavo T Barbosa; Lauro Yoiti Marubayashi; Isabel Cristina Teixeira; Antonio Paulo Nassar Junior; Maria Jose Carvalho Carmona; Israel Ferreira da Silva; José Otávio Costa Auler Júnior; Ederlon Rezende
Journal:  Rev Bras Anestesiol       Date:  2010 Jan-Feb       Impact factor: 0.964

3.  Performance of SAPS3, compared with APACHE II and SOFA, to predict hospital mortality in a general ICU in Southern Europe.

Authors:  Cissé-Luc Mbongo; Pablo Monedero; Francisco Guillen-Grima; Maria J Yepes; Marc Vives; Gemma Echarri
Journal:  Eur J Anaesthesiol       Date:  2009-11       Impact factor: 4.330

4.  The interrater reliability of SAPS II and SAPS 3.

Authors:  K Strand; L I Strand; H Flaatten
Journal:  Intensive Care Med       Date:  2010-02-04       Impact factor: 17.440

Review 5.  A comparison of goodness-of-fit tests for the logistic regression model.

Authors:  D W Hosmer; T Hosmer; S Le Cessie; S Lemeshow
Journal:  Stat Med       Date:  1997-05-15       Impact factor: 2.373

6.  Performance of the third-generation models of severity scoring systems (APACHE IV, SAPS 3 and MPM-III) in acute kidney injury critically ill patients.

Authors:  Verônica Torres Costa e Silva; Isac de Castro; Fernando Liaño; Alfonso Muriel; José R Rodríguez-Palomares; Luis Yu
Journal:  Nephrol Dial Transplant       Date:  2011-04-19       Impact factor: 5.992

7.  Assessing the calibration of mortality benchmarks in critical care: The Hosmer-Lemeshow test revisited.

Authors:  Andrew A Kramer; Jack E Zimmerman
Journal:  Crit Care Med       Date:  2007-09       Impact factor: 7.598

8.  Comparison of the performance of SAPS II, SAPS 3, APACHE II, and their customized prognostic models in a surgical intensive care unit.

Authors:  Y Sakr; C Krauss; A C K B Amaral; A Réa-Neto; M Specht; K Reinhart; G Marx
Journal:  Br J Anaesth       Date:  2008-10-09       Impact factor: 9.166

9.  External validation of the Simplified Acute Physiology Score (SAPS) 3 in a cohort of 28,357 patients from 147 Italian intensive care units.

Authors:  Daniele Poole; Carlotta Rossi; Abramo Anghileri; Michele Giardino; Nicola Latronico; Danilo Radrizzani; Martin Langer; Guido Bertolini
Journal:  Intensive Care Med       Date:  2009-08-14       Impact factor: 17.440

10.  SAPS 3 at dialysis commencement is predictive of hospital mortality in patients supported by extracorporeal membrane oxygenation and acute dialysis.

Authors:  Ching-Wei Tsai; Yu-Feng Lin; Vin-Cent Wu; Tzong-Shinn Chu; Yung-Ming Chen; Fu-Chang Hu; Kwan-Dun Wu; Wen-Je Ko
Journal:  Eur J Cardiothorac Surg       Date:  2008-08-30       Impact factor: 4.191
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  3 in total

1.  Validation of a simplified risk prediction model using a cloud based critical care registry in a lower-middle income country.

Authors:  Bharath Kumar Tirupakuzhi Vijayaraghavan; Dilanthi Priyadarshini; Aasiyah Rashan; Abi Beane; Ramesh Venkataraman; Nagarajan Ramakrishnan; Rashan Haniffa
Journal:  PLoS One       Date:  2020-12-31       Impact factor: 3.240

2.  Predicting six-month mortality of patients with traumatic brain injury: usefulness of common intensive care severity scores.

Authors:  Rahul Raj; Markus Skrifvars; Stepani Bendel; Tuomas Selander; Riku Kivisaari; Jari Siironen; Matti Reinikainen
Journal:  Crit Care       Date:  2014-04-03       Impact factor: 9.097

3.  Common intensive care scoring systems do not outperform age and glasgow coma scale score in predicting mid-term mortality in patients with spontaneous intracerebral hemorrhage treated in the intensive care unit.

Authors:  Marika Fallenius; Markus B Skrifvars; Matti Reinikainen; Stepani Bendel; Rahul Raj
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2017-10-25       Impact factor: 2.953
  3 in total

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