Evidence map›Paper›PMID 31724822›Full record

ArticleInternational wound journal2020

Which endotracheal tube location minimises the device-related pressure ulcer risk: The centre or a corner of the mouth?

Golan Amrani, Amit Gefen

Open access · bronzeAbstract read
In one paragraph

Article in International wound journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
10.6field-weighted citation impact, top 2% of its field
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

25 citing papers in PubMed, 40 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Golan AmraniDepartment of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel.
Amit GefenDepartment of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel.ORCID https://orcid.org/0000-0002-0223-7218
Tel Aviv University · IL

Funding

Under Pressure Medical Ltd., Israel
6 · The paper itself

Abstract

The use of an endotracheal tube (ETT), which is required for any mechanical ventilation procedure, involves an inherent risk for facial skin, lip, and mucosal pressure ulcers. The ETT is one of the most common devices associated with medical device-related pressure ulcers (MDRPUs) among surgical and intensive care unit patients. In the present work, we investigated, for the first time in the literature, the biomechanical effects of the presence and positioning of an ETT in the mouth on lip, mucosal and surrounding facial skin loads. Using two anatomically realistic finite element model variants, two ETT locations were simulated and compared, at the centre versus the corner of the mouth. Our study shows that a central location of the ETT inflicted greater lip and mucosal stress values, but a corner location caused a more widespread and diffused lip, mucosal and facial skin stress exposure. Accordingly, we cannot recommend a "safer" location for ETTs in the mouth; additional preventative measures such as dedicated dressing materials or special cushioning pads applied prophylactically, should be developed to protect from MDRPUs associated with ETT usage. The present modelling framework can be used to study the biomechanical efficacy of such protective technologies, and can therefore aid in the prevention of ETT-caused MDRPUs.

Indexed as

Critical CareFollow-Up StudiesHumansImaging, Three-DimensionalIntubation, IntratrachealMouthPressure UlcerRespiration, ArtificialTime Factorsendotracheal tubefinite element modellingmedical device-related pressure ulcerpressure injury

Identifiers

PMID31724822
PMCPMC7948655
OpenAlexW2987374495

What OpenQuestion holds

Textmetadata
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.