Evidence map›Paper›PMID 34413788›Full record

ArticleFrontiers in physiology2021

Non-invasive Oscillometry-Based Estimation of Cardiac Output - Can We Use It in Clinical Practice?

Alexander Reshetnik, Jonida Gjolli, Markus van der Giet, Friederike Compton

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In one paragraph

Article in Frontiers in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Alexander ReshetnikDepartment of Nephrology and Intensive Care Medicine, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Jonida GjolliDepartment of Nephrology and Intensive Care Medicine, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Markus van der GietDepartment of Nephrology and Intensive Care Medicine, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Friederike ComptonDepartment of Nephrology and Intensive Care Medicine, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While invasive thermodilution techniques remain the reference methods for cardiac output (CO) measurement, there is a currently unmet need for non-invasive techniques to simplify CO determination, reduce complications related to invasive procedures required for indicator dilution CO measurement, and expand the application field toward emergency room, non-intensive care, or outpatient settings. We evaluated the performance of a non-invasive oscillometry-based CO estimation method compared to transpulmonary thermodilution. To assess agreement between the devices, we used Bland-Altman analysis. Four-quadrant plot analysis was used to visualize the ability of Mobil-O-Graph (MG) to track CO changes after a fluid challenge. Trending analysis of CO trajectories was used to compare MG and PiCCO

Indexed as

cardiac output measurementnon-invasiveoscillometricpulse wave analysisthermodilution

Identifiers

PMID34413788
PMCPMC8369501

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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.