Evidence map›Paper›PMID 40793805›Full record

ReviewAnesthesiology2025

Statistical Analysis and Reporting of Cardiac Output Method Comparison Studies (COMPARE) Statement.

Bernd Saugel, Alexander Hapfelmeier, Moritz Flick, Joseph Rinehart, Robert H Thiele, Simon T Vistisen, Karsten Bartels, Maxime Cannesson, Maurizio Cecconi, Michelle S Chew and 13 more

Abstract readComparative StudyReview
In one paragraph

Review in Anesthesiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Observational
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

23 authors.

Bernd SaugelDepartment of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Outcomes Research Consortium, Houston, Texas.ORCID 0000-0001-6619-0722
Alexander HapfelmeierInstitute of AI and Informatics in Medicine, School of Medicine and Health, Technical University of Munich, Munich, Germany; Institute of General Practice and Health Services Research, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Moritz FlickDepartment of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Joseph RinehartDepartment of Anesthesiology and Perioperative Care, University of California, Irvine, California.
Robert H ThieleDepartments of Anesthesiology and Biomedical Engineering, University of Virginia, Charlottesville, Virginia.
Simon T VistisenDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark; Department of Anesthesiology and Intensive Care, Aarhus University Hospital, Aarhus, Denmark.
Karsten BartelsDepartment of Anesthesiology, University of Michigan, Ann Arbor, Michigan.
Maxime CannessonDepartment of Anesthesiology and Perioperative Medicine, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, California.
Maurizio CecconiDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy; Department of Anesthesiology and Intensive Care, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Humanitas Research Hospital, Rozzano, Milan, Italy.
Michelle S ChewDepartment of Perioperative Medicine and Intensive Care, Karolinska University Hospital Huddinge, Huddinge, Sweden.
Daniel De BackerDepartment of Intensive Care, Centre Hospitalier Interrégional Edith Cavell (CHIREC) Hospitals, Université Libre de Bruxelles, Brussels, Belgium.
Alexandre JoostenDepartment of Anesthesiology and Perioperative Medicine, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, California.
Ashish K KhannaDepartment of Anesthesiology, Section on Critical Care Medicine, Wake Forest School of Medicine, Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, North Carolina; Outcomes Research Consortium, Houston, Texas.
Jerrold H LevyDepartments of Anesthesiology, Critical Care, Surgery (Cardiothoracic), Duke University School of Medicine, Durham, North Carolina.
Agnes S MeidertDepartment of Anaesthesiology, University Hospital of the Ludwig Maximilian University (LMU) Munich, Munich, Germany.
Antonio MessinaDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy; Department of Anesthesiology and Intensive Care, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Humanitas Research Hospital, Rozzano, Milan, Italy.
Xavier MonnetAssistance Publique-Hôpitaux de Paris, Service de Médecine Intensive-Réanimation, Hôpital de Bicêtre, Inserm UMR S_999, IHU PROMETHEUS, FHU SEPSIS, CARMAS, Université Paris-Saclay, Le Kremlin-Bicêtre, France.
Sheila N MyatraTata Memorial Hospital, Homi Bhabha National Institute, Mumbai, Maharashtra, India.
Michael R PinskyDepartment of Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Alparslan TuranOutcomes Research Center, Department of Anesthesiology, Critical Care, and Pain Medicine, McGovern Medical School, Houston, Texas.
Iwan C C van der HorstDepartment of Intensive Care Medicine, Maastricht University Medical Center, Maastricht, The Netherlands; Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands.
Jean-Louis VincentDepartment of Intensive Care, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium.
Karim KouzDepartment of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Outcomes Research Consortium, Houston, Texas.

Funding

Science CoreP2CHD065563 · NICHD · DUKE UNIVERSITY · PI James Moody · 2015 to 2026
$5.7M
Personalized Risk Prediction for Prevention and Early Detection of Postoperative Failure to RescueR01EB035028 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Maxime Cannesson · 2023 to 2026
$2.3M
NIBIB NIH HHS R01 EB035028NICHD NIH HHS P2C HD065563
6 · The paper itself

Abstract

Cardiac output is a key cardiovascular variable quantifying global blood flow. The measurement performance of cardiac output monitoring methods is investigated in validation studies, which are method comparison studies determining the agreement between cardiac output values measured with a test method and those measured with a reference method. The StatistiCal analysis and repOrting of cardiac output Method comPARison studiEs (COMPARE) statement provides a framework for designing, performing, and reporting cardiac output method comparison studies and includes a checklist of 29 items that are essential for reporting of those studies. Considering and reporting the items specified in the COMPARE checklist will help standardize cardiac output method comparison studies and increase the external validity of the results.

Indexed as

Cardiac OutputData Interpretation, StatisticalHumansMonitoring, PhysiologicResearch Design

Identifiers

PMID40793805
PMCPMC12625360

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.