Evidence map›Paper›PMID 35257117›Full record

ArticleJVS-vascular science2022

A technical and data analytic approach to pressure-volume loops over numerous cardiac cycles.

David P Stonko, Joseph Edwards, Hossam Abdou, Noha N Elansary, Eric Lang, Samuel G Savidge, Jonathan J Morrison

Abstract read
In one paragraph

Article in JVS-vascular science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

7 authors.

David P StonkoR. Adams Cowley Shock Trauma Center, University of Maryland Medical System, Baltimore, Md.
Joseph EdwardsR. Adams Cowley Shock Trauma Center, University of Maryland Medical System, Baltimore, Md.
Hossam AbdouR. Adams Cowley Shock Trauma Center, University of Maryland Medical System, Baltimore, Md.
Noha N ElansaryR. Adams Cowley Shock Trauma Center, University of Maryland Medical System, Baltimore, Md.
Eric LangR. Adams Cowley Shock Trauma Center, University of Maryland Medical System, Baltimore, Md.
Samuel G SavidgeR. Adams Cowley Shock Trauma Center, University of Maryland Medical System, Baltimore, Md.
Jonathan J MorrisonR. Adams Cowley Shock Trauma Center, University of Maryland Medical System, Baltimore, Md.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac pressure-volume (PV) loop analysis is the reference standard for studying the cardiovascular implications of clinical perturbations (eg, heart failure, aortic occlusion, hypovolemia) and is a benchmark for comparisons with noninvasive alternatives (eg, ultrasound, magnetic resonance imaging). Historically, most PV loop analyses were of individual cardiac cycles for which the options to analyze PV loops using off-the-shelf software were limited, and home-grown analysis software often lacked peer review or code-sharing. Our aim was to describe a start-to-finish implementation of PV loops for determination of hemodynamic parameters in swine, to provide technical advice for vascular access and proceduralization, and to describe data capture, curation, preprocessing, and analysis of raw PV time data. We have provided a novel data analytic method to programmatically analyze raw PV loop data beyond single cardiac cycles and real, raw swine PV loop data and the accompanying MATLAB (MathWorks, Inc, Natick, Mass) code as an example of how to process and analyze raw data directly.

Indexed as

Data analysisPressure volume loopsPV loopsSwine cardiovascular research

Identifiers

PMID35257117
PMCPMC8897635

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.