Literature DB >> 26462496

How to "validate" newly developed cardiac output monitoring devices.

J J Vos1, T W L Scheeren2.   

Abstract

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Year:  2015        PMID： 26462496     DOI： 10.1007/s10877-015-9793-5

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN： 1387-1307            Impact factor:   2.502


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  12 in total

1.  A meta-analysis of studies using bias and precision statistics to compare cardiac output measurement techniques.

Authors:  L A Critchley; J A Critchley
Journal:  J Clin Monit Comput       Date:  1999-02       Impact factor: 2.502

2.  Agreement between methods of measurement with multiple observations per individual.

Authors:  J Martin Bland; Douglas G Altman
Journal:  J Biopharm Stat       Date:  2007       Impact factor: 1.051

3.  Using the Bland-Altman method to measure agreement with repeated measures.

Authors:  P S Myles; J Cui
Journal:  Br J Anaesth       Date:  2007-09       Impact factor: 9.166

4.  Bias and precision statistics: should we still adhere to the 30% benchmark for cardiac output monitor validation studies?

Authors:  Lester A H Critchley
Journal:  Anesthesiology       Date:  2011-05       Impact factor: 7.892

5.  Tracking Changes in Cardiac Output: Statistical Considerations on the 4-Quadrant Plot and the Polar Plot Methodology.

Authors:  Bernd Saugel; Oliver Grothe; Julia Y Wagner
Journal:  Anesth Analg       Date:  2015-08       Impact factor: 5.108

Review 6.  Noninvasive continuous cardiac output monitoring in perioperative and intensive care medicine.

Authors:  B Saugel; M Cecconi; J Y Wagner; D A Reuter
Journal:  Br J Anaesth       Date:  2015-01-16       Impact factor: 9.166

7.  When should we adopt continuous noninvasive hemodynamic monitoring technologies into clinical routine?

Authors:  Julia Y Wagner; Bernd Saugel
Journal:  J Clin Monit Comput       Date:  2015-02       Impact factor: 2.502

8.  Are we ready for the age of non-invasive haemodynamic monitoring?

Authors:  B Saugel; D A Reuter
Journal:  Br J Anaesth       Date:  2014-05-31       Impact factor: 9.166

9.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

Review 10.  Statistical methods used to test for agreement of medical instruments measuring continuous variables in method comparison studies: a systematic review.

Authors:  Rafdzah Zaki; Awang Bulgiba; Roshidi Ismail; Noor Azina Ismail
Journal:  PLoS One       Date:  2012-05-25       Impact factor: 3.240
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  1 in total

1.  Effect of patent ductus arteriosus and patent foramen ovale on left ventricular stroke volume measurement by electrical velocimetry in comparison to transthoracic echocardiography in neonates.

Authors:  Martin Ernst Blohm; Jana Hartwich; Denise Obrecht; Jan Felix Kersten; Dominique Singer
Journal:  J Clin Monit Comput       Date:  2016-04-12       Impact factor: 2.502
  1 in total

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