Evidence map›Paper›PMID 42230211›Full record

SynthesisBritish journal of anaesthesia2026

Agreement of minimally invasive pulse wave analysis with pulmonary artery and transpulmonary thermodilution cardiac output measurements in perioperative and intensive care medicine: a systematic review and meta-analysis.

Moritz Flick, Dominik X Müller, Alina Bergholz, Pawel Sierzputowski, Michael Eichlseder, Rami Saad, Gillis Greiwe, Karim Kouz, Alexander Hapfelmeier, Bernd Saugel

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in British journal of anaesthesia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Moritz FlickDepartment of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Dominik X MüllerDepartment of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Alina BergholzDepartment of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Pawel SierzputowskiDepartment of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Michael EichlsederDepartment of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Division of Anaesthesiology and Intensive Care 1, Department of Anaesthesiology and Intensive Care, Medical University of Graz, Graz, Austria.
Rami SaadDepartment of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Gillis GreiweDepartment of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Karim KouzDepartment of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Outcomes Research Consortium®, Houston, Texas, USA.
Alexander HapfelmeierInstitute of AI and Informatics in Medicine, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany; Institute of General Practice and Health Services Research, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.
Bernd SaugelDepartment of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Outcomes Research Consortium®, Houston, Texas, USA. Electronic address: bernd.saugel@gmx.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiac output monitoring is recommended for high-risk surgical patients and critically ill patients with circulatory shock. We performed a systematic review and meta-analysis of clinical studies published since 2010 that compared minimally invasive pulse wave analysis-derived cardiac output or cardiac index measurements with reference measurements by pulmonary artery thermodilution or transpulmonary thermodilution in adult surgical or critically ill patients.

methodsIn a random-effects meta-analysis, we calculated pooled estimates of the percentage error, mean difference and standard deviation, and 95% limits of agreement separately for studies reporting cardiac output or cardiac index. Subgroup analyses were performed by patient population and test device.

resultsWe included 92 studies divided into 113 data sets with a total of 3111 patients. For 71 data sets reporting cardiac output, the pooled percentage error (95% confidence interval [95% CI]) was 44.0% (38.2%-49.8%) with a mean difference (standard deviation) of -0.1 (1.3) L min

conclusionsThe pooled percentage error between minimally invasive pulse wave analysis-derived cardiac output measurements of 44.0% (cardiac output) and 49.1% (cardiac index) in adult surgical or critically ill patients exceeds the 30% threshold for clinically acceptable agreement. However, the percentage error varied depending on the patient population and device used.

trial registrationPROSPERO (CRD420251090806; submitted July 17, 2025).

Indexed as

Cardiac OutputCritical CarePerioperative CarePulmonary ArteryPulse Wave AnalysisCritical IllnessHumansMonitoring, PhysiologicThermodilutionblood flowcardiac outputhaemodynamic monitoringintensive carepulse contourstroke volumethermodilution

Identifiers

PMID42230211
PMCPMC13494206

What OpenQuestion holds

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Registered trials

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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.