Evidence map›Paper›PMID 36882988›Full record

ReviewProceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine2024

Detecting and monitoring incontinence associated dermatitis: Does impedance spectroscopy have a part to play?

Emily J Owen, Rachel A Heylen, Kyle Stewart, Paul G Winyard, A Toby A Jenkins

Open access · hybridAbstract readReview
In one paragraph

Review in Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 6 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

5 authors at 1 institution in 1 country.

Emily J OwenDepartment of Chemistry, University of Bath, Bath, UK.ORCID 0000-0002-8052-7739
Rachel A HeylenDepartment of Chemistry, University of Bath, Bath, UK.
Kyle StewartWatercress Research Ltd., Exeter, UK.
Paul G WinyardWatercress Research Ltd., Exeter, UK.ORCID 0000-0002-9613-1202
A Toby A JenkinsDepartment of Chemistry, University of Bath, Bath, UK.
University of Bath · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this review, current understanding of the prevention and treatment of Incontinence Associated Dermatitis (IAD) is discussed. The need for preventative measures which target specific faecal/urinary irritants is highlighted, including the role of urease inhibitors. There is no existing internationally and clinically accepted method to diagnose and categorise the severity of IAD. Diagnosis currently relies on visual inspection; non-invasive techniques to assess skin barrier function could remove subjectiveness, particularly in darker skin tones. Impedance spectroscopy is a non-invasive technique which can be used to monitor skin barrier function, supporting visual assessments. Six studies (2003-2021) which used impedance to assess dermatitis were reviewed; inflamed skin was distinguishable from healthy skin in each case. This suggests that impedance spectroscopy could be useful in diagnosis early-stage IAD, potentially enabling earlier intervention. Finally, the authors present their initial findings on the role of urease in skin breakdown in an

Indexed as

DermatitisDielectric SpectroscopyUrinary IncontinenceFecal IncontinenceHumansMonitoring, PhysiologicBioelectric data acquisitionbiomedical devicesdermatologydiagnostic monitoringimpedance spectroscopyincontinence associated dermatitis

Identifiers

PMID36882988
PMCPMC11318234
OpenAlexW4323531763

What OpenQuestion holds

Textmetadata
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.