Literature DB >> 11271078

The state of research on multipurpose severity of illness scoring systems: are we on target?

G Apolone.   

Abstract

Mesh：

Year:  2000        PMID： 11271078     DOI： 10.1007/s001340000737

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


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  20 in total

1.  Prognostic systems in intensive care: how do you interpret an observed mortality that is higher than expected?

Authors:  J E Zimmerman; D P Wagner
Journal:  Crit Care Med       Date:  2000-01       Impact factor: 7.598

2.  When to customize a severity model.

Authors:  D Teres; S Lemeshow
Journal:  Intensive Care Med       Date:  1999-02       Impact factor: 17.440

Review 3.  Scoring systems in the measurement of performance of ICUs.

Authors:  D R Miranda
Journal:  Intensive Care Med       Date:  1999-04       Impact factor: 17.440

4.  Predictive value of severity scoring systems: comparison of four models in Tunisian adult intensive care units.

Authors:  S Nouira; M Belghith; S Elatrous; M Jaafoura; M Ellouzi; R Boujdaria; M Gahbiche; S Bouchoucha; F Abroug
Journal:  Crit Care Med       Date:  1998-05       Impact factor: 7.598

5.  Outcome prediction in intensive care: results of a prospective, multicentre, Portuguese study.

Authors:  R Moreno; P Morais
Journal:  Intensive Care Med       Date:  1997-02       Impact factor: 17.440

6.  Prediction of outcome from intensive care: a prospective cohort study comparing Acute Physiology and Chronic Health Evaluation II and III prognostic systems in a United Kingdom intensive care unit.

Authors:  D H Beck; B L Taylor; B Millar; G B Smith
Journal:  Crit Care Med       Date:  1997-01       Impact factor: 7.598

7.  Evaluation of the uniformity of fit of general outcome prediction models.

Authors:  R Moreno; G Apolone; D R Miranda
Journal:  Intensive Care Med       Date:  1998-01       Impact factor: 17.440

8.  Mortality Probability Models (MPM II) based on an international cohort of intensive care unit patients.

Authors:  S Lemeshow; D Teres; J Klar; J S Avrunin; S H Gehlbach; J Rapoport
Journal:  JAMA       Date:  1993-11-24       Impact factor: 56.272

9.  APACHE-acute physiology and chronic health evaluation: a physiologically based classification system.

Authors:  W A Knaus; J E Zimmerman; D P Wagner; E A Draper; D E Lawrence
Journal:  Crit Care Med       Date:  1981-08       Impact factor: 7.598

10.  The use of intensive care information systems alters outcome prediction.

Authors:  R J Bosman; H M Oudemane van Straaten; D F Zandstra
Journal:  Intensive Care Med       Date:  1998-09       Impact factor: 17.440
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  5 in total

1.  Outcome prediction in intensive care. Solving the paradox.

Authors:  R Moreno; R Matos
Journal:  Intensive Care Med       Date:  2001-06       Impact factor: 17.440

Review 2.  Improving the cost-effectiveness of coronary artery bypass grafting surgery. Better clinical research or simply better management?

Authors:  D R Miranda
Journal:  Intensive Care Med       Date:  2001-03       Impact factor: 17.440

3.  Clinical relevance of IL-6 gene polymorphism in severely injured patients.

Authors:  Vasilije Jeremić; Tamara Alempijević; Srđan Mijatović; Ana Sijački; Sanja Dragašević; Sonja Pavlović; Biljana Miličić; Slobodan Krstić
Journal:  Bosn J Basic Med Sci       Date:  2014-05       Impact factor: 3.363

4.  The influence of missing components of the Acute Physiology Score of APACHE III on the measurement of ICU performance.

Authors:  Bekele Afessa; Mark T Keegan; Ognjen Gajic; Rolf D Hubmayr; Steve G Peters
Journal:  Intensive Care Med       Date:  2005-10-05       Impact factor: 17.440

5.  SAPS II revisited.

Authors:  Philippe Aegerter; Ariane Boumendil; Aurélia Retbi; Etienne Minvielle; Benoit Dervaux; Bertrand Guidet
Journal:  Intensive Care Med       Date:  2005-01-28       Impact factor: 17.440
  5 in total

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