Evidence map›Paper›PMID 32700152›Full record

ReviewJournal of clinical monitoring and computing2021

A concise overview of non-invasive intra-abdominal pressure measurement techniques: from bench to bedside.

Salar Tayebi, Adrian Gutierrez, Ikram Mohout, Evelien Smets, Robert Wise, Johan Stiens, Manu L N G Malbrain

Abstract readReview
In one paragraph

Review in Journal of clinical monitoring and computing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Pooled it
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  5. Observational
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  8. Soft tissue material properties based on human abdominalFrontiers in bioengineering and biotechnology · 2024
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  10. Observational
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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.

Salar TayebiDepartment of Electronics and Informatics, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium.ORCID http://orcid.org/0000-0001-6751-1858
Adrian GutierrezDepartment of Electronics and Informatics, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium.
Ikram MohoutDepartment of Electronics and Informatics, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium.
Evelien SmetsDepartment of Electronics and Informatics, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium.
Robert WiseAdult Intensive Care, John Radcliffe Hospital, Oxford University Hospitals Trust, Oxford, England.
Johan StiensDepartment of Electronics and Informatics, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium.ORCID http://orcid.org/0000-0001-5049-7885
Manu L N G MalbrainIntensive Care Unit, ICU Director, University Hospital Brussel (UZB), Laarbeeklaan 101, 1090, Jette, Belgium. manu.malbrain@uzbrussel.be.ORCID http://orcid.org/0000-0002-1816-5255

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review presents an overview of previously reported non-invasive intra-abdominal pressure (IAP) measurement techniques. Each section covers the basic physical principles and methodology of the various measurement techniques, the experimental results, and the advantages and disadvantages of each method. The most promising non-invasive methods for IAP measurement are microwave reflectometry and ultrasound assessment, in combination with an applied external force.

Indexed as

Abdominal compartment syndromeIntensive care unitIntra-abdominal pressureMicrowave reflectometryNon-invasive measurementUltrasound

Identifiers

PMID32700152
PMCPMC7889558

What OpenQuestion holds

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LicenceCC BY
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.