Evidence map›Paper›PMID 29430829›Full record

ArticleInternational wound journal2018

The 'Two Bridges Technique' for sternal wound closure. The use of vacuum-assisted closure for the treatment of deep sternal wound defects: a centre-specific technique.

Karl Waked, Philippe Ballaux, Dominique Goossens, Koen Cathenis

Open access · greenAbstract read
In one paragraph

Article in International wound journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

4 authors at 1 institution in 1 country.

Karl WakedDepartment of Cardiac Surgery, AZ Maria Middelares Gent, Ghent, Belgium.ORCID http://orcid.org/0000-0002-7409-5626
Philippe BallauxDepartment of Cardiac Surgery, AZ Maria Middelares Gent, Ghent, Belgium.
Dominique GoossensDepartment of Cardiac Surgery, AZ Maria Middelares Gent, Ghent, Belgium.
Koen CathenisDepartment of Cardiac Surgery, AZ Maria Middelares Gent, Ghent, Belgium.
AZ Maria Middelares · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective is to describe the 'Two Bridges Technique' (TBT), which has proven to be successful and has been the standard technique at our centre for vacuum-assisted closure (VAC) of post-sternotomy mediastinitis. An extensive literature search was performed in four databases to identify all published articles concerning VAC for post-sternotomy mediastinitis. Several VAC methods have been used; however, no article has described our specific technique. TBT consists of a two-bridges construction using two types of foam with different pore sizes, which ensures an equally divided negative pressure over the wound bed and stabilisation of the chest. This guarantees a continuous treatment of the sternal defect and prevents foam displacement. It maintains an airtight seal that prevents skin maceration and provides enough protection to avoid right ventricular rupture. The main advantage of TBT is the prevention of shifting or tilting of the foam during chest movements such as breathing or couching. Along with targeted antibiotic treatment, this alternative VAC technique can be an asset in the sometimes cumbersome treatment of post-sternotomy mediastinitis.

Indexed as

Wound Closure TechniquesFemaleHumansMaleMediastinitisNegative-Pressure Wound TherapySternotomySternumSurgical Wound InfectionWound HealingDeep sternal wound infectionMediastinitisSternitisVAC

Identifiers

PMID29430829
PMCPMC7950002
OpenAlexW2792776002

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.