Evidence map›Paper›PMID 34785960›Full record

ArticleMedical devices (Auckland, N.Z.)2021

An Absorbing Improvement for Space Infection Decompression: A Novel Drainage Device.

Ansha Bharath, Srikanth S C Madabhushi

Open access · goldAbstract read
In one paragraph

Article in Medical devices (Auckland, N.Z.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Review
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 2 institutions in 2 countries.

Ansha BharathGovernment Dental College and Research Institute, Bangalore, India.ORCID 0000-0002-3877-2941
Srikanth S C MadabhushiUniversity of Colorado, Boulder, CO, USA.ORCID 0000-0003-0166-5015
Government Dental College & Research Institute · INUniversity of Colorado Boulder · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionInfection of the facial spaces and the associated exudate can often necessitate surgical intervention. Whilst traditional decompression methodologies have reduced the mortality rate from complications such as Ludwig's Angina, there has been relatively little innovation in the procedure to minimize treatment times and patient distress. Negative pressure wound therapy, which can yield improvements to treatment time, wound healing and patient experience, has gained traction in abscess treatments in other parts of the body but seen limited adoption in maxillofacial surgeries.

methodsA focused literature review explores the existing treatment methodologies for infected facial space decompression and identifies obstacles to implementing negative pressure wound therapy in maxillofacial surgeries. A novel drainage tool, which features a sleeved sponge over a perforated drainage tube, is proposed. Virtual prototyping and structural analyses of the novel drainage device including a parametric design study are presented.

resultsThe parametric study validates the proposed tool's biocompatibility in terms of overall flexural and axial stiffness between the tool and complex structures in the head and neck. Ultimately, this work presents a necessary first step in the development of specialized drainage tools to promote the adoption of negative pressure wound therapy for infections of facial spaces.

Indexed as

drainage devicesfacial space infectionnegative pressure wound therapyspace decompressionvacuum-assisted drainagevirtual prototyping

Identifiers

PMID34785960
PMCPMC8590833
OpenAlexW3212156126

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.