ArticleIntensive care medicine2009
Tracking changes in cardiac output: methodological considerations for the validation of monitoring devices.
Article in Intensive care medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03296319 (Echocardiography Guided Fluid Resuscitation in Critically Ill Patients), which is not on this map. Cited by 49 papers, 5 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Echocardiography Guided Fluid Resuscitation in Critically Ill Patients
Who cites it
49 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- A recommendation for the use of electrical biosensing technology in neonatology.Pediatric research · 2025Guideline
- Value of respiratory variation of aortic peak velocity in predicting children receiving mechanical ventilation: a systematic review and meta-analysis.Critical care (London, England) · 2019Pooled it
- What is the impact of the fluid challenge technique on diagnosis of fluid responsiveness? A systematic review and meta-analysis.Critical care (London, England) · 2017Pooled it
- Reproducibility of transpulmonary thermodilution cardiac output measurements in clinical practice: a systematic review.Journal of clinical monitoring and computing · 2017Pooled it
- Systematic review of cardiac output measurements by echocardiography vs. thermodilution: the techniques are not interchangeable.Intensive care medicine · 2016Pooled it
- Precision of the transpulmonary thermodilution measurements.Critical care (London, England) · 2011Trial
- Automatic monitoring of single-wall MAPSE by transesophageal echocardiography for tracking global left ventricular function irrespective of regional hypokinesia: a secondary analysis.Intensive care medicine experimental · 2026Article
- Moving-average processing enables accurate quantification of time delay and compares the trending ability of cardiac output monitors with different response times.BMC biomedical engineering · 2025Article
- Comparison of cardiac index measurements in intensive care patients using continuous wave vs. pulsed wave echo-Doppler compared to pulse contour cardiac output.Intensive care medicine experimental · 2023Article
- Article
- Evaluation of least significant changes of pulse contour analysis-derived parameters.Annals of intensive care · 2019Article
- The accuracy and trending ability of cardiac index measured by the fourth-generation FloTrac/Vigileo system™ and the Fick method in cardiac surgery patients.Journal of clinical monitoring and computing · 2019Observational
- What is the lowest change in cardiac output that transthoracic echocardiography can detect?Critical care (London, England) · 2019Article
- Goal-directed therapy: hit early and personalize!Journal of clinical monitoring and computing · 2018Article
- Cross-comparisons of trending accuracies of continuous cardiac-output measurements: pulse contour analysis, bioreactance, and pulmonary-artery catheter.Journal of clinical monitoring and computing · 2018Article
- 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.Journal of clinical monitoring and computing · 2017Observational
- Transesophageal Doppler reliably tracks changes in cardiac output in comparison with intermittent pulmonary artery thermodilution in cardiac surgery patients.Journal of clinical monitoring and computing · 2017Article
- Non-Invasive Monitoring of Cardiac Output in Critical Care Medicine.Frontiers in medicine · 2017Review
- Measuring the cardiac output in acute emergency admissions: use of the non-invasive ultrasonic cardiac output monitor (USCOM) with determination of the learning curve and inter-rater reliability.Journal of the Intensive Care Society · 2016Article
- Accuracy of an autocalibrated pulse contour analysis in cardiac surgery patients: a bi-center clinical trial.BMC anesthesiology · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUntil now, tools for continuous cardiac output (CO) monitoring have been validated as if they were tools for snapshot measurements. Most authors have compared variations in cardiac output between two time-points and used Bland-Altman representations to describe the agreement between these variations. The impacts of time and of repetitive measurements over time are not taken into consideration. PURPOSE: This special article proposes a conceptual framework for the validation of CO monitoring devices. Four quality criteria are suggested and studied: (1) accuracy (small bias), (2) precision (small random error of measurements), (3) short response time and (4) accurate amplitude response. Because a tolerance is obviously admitted for each of these four criteria, we propose to add as a fifth criterion the ability to detect significant CO directional changes. Other important issues in designing studies to validate CO monitoring tools are reviewed: choice of patient population to be studied, choice of the reference method, data acquisition method, data acceptability checking, data segmentation and final evaluation of reliability.
conclusionApplication of this framework underlines the importance of precision and time response for clinical acceptability of monitoring tools.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.