Evidence map›Paper›PMID 33605541›Full record

ArticleInternational wound journal2021

Three-dimensional shape-conformation performances of wound dressings tested in a robotic sacral pressure ulcer phantom.

Adi Lustig, Amit Gefen

Abstract read
In one paragraph

Article in International wound journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

  1. Multi-Axis Stretchable Zippers for Personalized Wound Healing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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.

Adi LustigDepartment 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

Funding

Mölnlycke Health Care (Gothenburg, Sweden)
6 · The paper itself

Abstract

Effective exudate retention by dressings requires close and intimate dressing-wound contact, immediately and continuously after the dressing application. Any dressing-wound spaces may allow for build-up of non-retained fluids, causing exudate pooling which forms a favourable environment for pathogen growth. Maceration may follow if the pooled exudates spread to peri-wound skin. Dressings with a claimed 3D-shape-conformation technology are commercially available; however, their effectiveness in minimising dressing-wound gaps has never been scientifically investigated. We present a novel bioengineering methodology for testing the effectiveness of such 3D-shape-conformation dressings, using our recently reported robotic phantom system of a sacral pressure ulcer. By means of 3D laser scanning and bespoke software, we reconstructed dressing shapes after simulated use and calculated the goodness-of-fit between each dressing (swelled to near-saturation) and the corresponding wound geometry. Two dressing sizes (10 × 10 cm and 12.5 × 12.5 cm) and two wound depths (2.5 or 2 cm) were considered. All the tested dressings were far from reaching good contact with the (simulated) wounds: Approximately one-third of the wound volume and nearly half of the wound surface were not in contact with the swelled dressings. Our present findings question whether 3D-shape-conformation dressings are effective, by revealing their swelling behaviour which was previously unknown.

Indexed as

Pressure UlcerRobotic Surgical ProceduresBandagesExudates and TransudatesHumansOcclusive DressingsWound Healingexudate poolingfluid retentionlaboratory modelswell testingwound dressing

Identifiers

PMID33605541
PMCPMC8450790

What OpenQuestion holds

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Registered trials

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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.