Cited by 351Hemodynamic Monitoring and TherapyReliability and Agreement in MeasurementClinical Laboratory Practices and Quality Control

Bench-to-bedside review: The importance of the precision of the reference technique in method comparison studies--with specific reference to the measurement of cardiac output

Open access
Cecconi, Maurizio, Rhodes, Andrew, Poloniecki, Jan, Della Rocca, Giorgio, Grounds, R Michael·2009·Critical Care

Abstract

Bland-Altman analysis is used for assessing agreement between two measurements of the same clinical variable. In the field of cardiac output monitoring, its results, in terms of bias and limits of agreement, are often difficult to interpret, leading clinicians to use a cutoff of 30% in the percentage error in order to decide whether a new technique may be considered a good alternative. This percentage error of +/- 30% arises from the assumption that the commonly used reference technique, intermittent thermodilution, has a precision of +/- 20% or less. The combination of two precisions of +/- 20% equates to a total error of +/- 28.3%, which is commonly rounded up to +/- 30%. Thus, finding a percentage error of less than +/- 30% should equate to the new tested technique having an error similar to the reference, which therefore should be acceptable. In a worked example in this paper, we discuss the limitations of this approach, in particular in regard to the situation in which the reference technique may be either more or less precise than would normally be expected. This can lead to inappropriate conclusions being drawn from data acquired in validation studies of new monitoring technologies. We conclude that it is not acceptable to present comparison studies quoting percentage error as an acceptability criteria without reporting the precision of the reference technique.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/cc7129

Cites

24 of 24 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Echocardiography shows a precision error of around 30% when compared to gold standard dilution techniques, which falls within the clinically accepted range.

    “For instance, echocardiography shows a precision error of around 30% when compared to gold standard dilution techniques, which falls within the clinically accepted range [54,55].”

    From Trends and Challenges in Noninvasive Hemodynamic Monitoring of Neonates Following Cardiac Surgery: A Narrative Review (2025) · cites this paper as [55]

    The Validation of cardiac output monitoring devices section (page unavailable) describes ±30% as a commonly used percentage-error cutoff for comparing a new cardiac-output technique with intermittent thermodilution. It does not report that echocardiography has a 30% error; it also warns that the cutoff alone cannot establish clinical acceptability without measuring the reference technique’s precision. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • Similar associations between inflammatory mediators and disease severity have been demonstrated in the context of influenza virus, coronavirus, and parainfluenza virus infections.

    “Similar associations have been demonstrated in the context of influenza virus (21, 43, 206, 283), coronavirus (328), and parainfluenza virus (58) infections.”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

1 retracted

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Cecconi, M., Rhodes, A., Poloniecki, J., Della Rocca, G., & Grounds, R. M.
Affiliations
  • University of Udine (IT)
  • St George's Hospital (GB)
  • St George's, University of London (GB)
Corresponding author
Cecconi, Maurizio
Venue
Critical Care
Published
2009
Volume
13
Issue
1
Pages
201
ISSN
1364-8535 (ISSN-L)
OpenAlex
W2155688319
Cited by
351
References
24
Citations by year
2026: 16 · 2025: 16 · 2024: 18 · 2023: 20 · 2022: 15 · 2021: 24 · 2020: 17 · 2019: 20 · 2018: 18 · 2017: 23 · 2016: 29 · 2015: 42 · 2014: 24 · 2013: 20 · 2012: 15
FWCI
16.56
Type
journal article
Language
en
Open access
Locations
  • Critical Care (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • St George's Online Research Archive (St George's University of London) (acceptedVersion)
  • Institutional Research Information System (University of Udine) (submittedVersion)
Topics
  • Health Sciences › Medicine › Surgery › Hemodynamic Monitoring and Therapy
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Reliability and Agreement in Measurement
  • Health Sciences › Medicine › Physiology › Clinical Laboratory Practices and Quality Control
Keywords
cardiac output monitoring, method comparison, Bland-Altman analysis, measurement agreement, percentage error, limits of agreement, bias
MeSH terms
Cardiac Output, Humans, Monitoring, Physiologic, Reference Standards, Reproducibility of Results, Point-of-Care Systems, Biomedical Research

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review