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

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Tracking Changes in Cardiac Output: Statistical Considerations on the 4-Quadrant Plot and the Polar Plot Methodology. / Saugel, Bernd; Grothe, Oliver; Wagner, Julia Y.

in: ANESTH ANALG, Jahrgang 121, Nr. 2, 19.05.2015, S. 514-524.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Saugel, B, Grothe, O & Wagner, JY 2015, 'Tracking Changes in Cardiac Output: Statistical Considerations on the 4-Quadrant Plot and the Polar Plot Methodology', ANESTH ANALG, Jg. 121, Nr. 2, S. 514-524. https://doi.org/10.1213/ANE.0000000000000725

APA

Saugel, B., Grothe, O., & Wagner, J. Y. (2015). Tracking Changes in Cardiac Output: Statistical Considerations on the 4-Quadrant Plot and the Polar Plot Methodology. ANESTH ANALG, 121(2), 514-524. https://doi.org/10.1213/ANE.0000000000000725

Vancouver

Saugel B, Grothe O, Wagner JY. Tracking Changes in Cardiac Output: Statistical Considerations on the 4-Quadrant Plot and the Polar Plot Methodology. ANESTH ANALG. 2015 Mai 19;121(2):514-524. https://doi.org/10.1213/ANE.0000000000000725

Bibtex

@article{be5ff298e32d41a6b3e801726b3aeba5,
title = "Tracking Changes in Cardiac Output: Statistical Considerations on the 4-Quadrant Plot and the Polar Plot Methodology",
abstract = "When comparing 2 technologies for measuring hemodynamic parameters with regard to their ability to track changes, 2 graphical tools are omnipresent in the literature: the 4-quadrant plot and the polar plot recently proposed by Critchley et al. The polar plot is thought to be the more advanced statistical tool, but care should be taken when it comes to its interpretation. The polar plot excludes possibly important measurements from the data. The polar plot transforms the data nonlinearily, which may prevent it from being seen clearly. In this article, we compare the 4-quadrant and the polar plot in detail and thoroughly describe advantages and limitations of each. We also discuss pitfalls concerning the methods to prepare the researcher for the sound use of both methods. Finally, we briefly revisit the Bland-Altman plot for the use in this context.",
author = "Bernd Saugel and Oliver Grothe and Wagner, {Julia Y}",
year = "2015",
month = may,
day = "19",
doi = "10.1213/ANE.0000000000000725",
language = "English",
volume = "121",
pages = "514--524",
journal = "ANESTH ANALG",
issn = "0003-2999",
publisher = "Lippincott Williams and Wilkins",
number = "2",

}

RIS

TY - JOUR

T1 - Tracking Changes in Cardiac Output: Statistical Considerations on the 4-Quadrant Plot and the Polar Plot Methodology

AU - Saugel, Bernd

AU - Grothe, Oliver

AU - Wagner, Julia Y

PY - 2015/5/19

Y1 - 2015/5/19

N2 - When comparing 2 technologies for measuring hemodynamic parameters with regard to their ability to track changes, 2 graphical tools are omnipresent in the literature: the 4-quadrant plot and the polar plot recently proposed by Critchley et al. The polar plot is thought to be the more advanced statistical tool, but care should be taken when it comes to its interpretation. The polar plot excludes possibly important measurements from the data. The polar plot transforms the data nonlinearily, which may prevent it from being seen clearly. In this article, we compare the 4-quadrant and the polar plot in detail and thoroughly describe advantages and limitations of each. We also discuss pitfalls concerning the methods to prepare the researcher for the sound use of both methods. Finally, we briefly revisit the Bland-Altman plot for the use in this context.

AB - When comparing 2 technologies for measuring hemodynamic parameters with regard to their ability to track changes, 2 graphical tools are omnipresent in the literature: the 4-quadrant plot and the polar plot recently proposed by Critchley et al. The polar plot is thought to be the more advanced statistical tool, but care should be taken when it comes to its interpretation. The polar plot excludes possibly important measurements from the data. The polar plot transforms the data nonlinearily, which may prevent it from being seen clearly. In this article, we compare the 4-quadrant and the polar plot in detail and thoroughly describe advantages and limitations of each. We also discuss pitfalls concerning the methods to prepare the researcher for the sound use of both methods. Finally, we briefly revisit the Bland-Altman plot for the use in this context.

U2 - 10.1213/ANE.0000000000000725

DO - 10.1213/ANE.0000000000000725

M3 - SCORING: Journal article

C2 - 26039419

VL - 121

SP - 514

EP - 524

JO - ANESTH ANALG

JF - ANESTH ANALG

SN - 0003-2999

IS - 2

ER -