Evidence map›Paper›PMID 33476485›Full record

ArticleInternational wound journal2021

Efficacy of a topical concentrated surfactant gel on microbial communities in non-healing diabetic foot ulcers with chronic biofilm infections: A proof-of-concept study.

Matthew Malone, Michael Radzieta, Saskia Schwarzer, Slade O Jensen, Lawrence A Lavery

Open access · goldAbstract 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. What's New in Wound Healing: Treatment Advances and Microbial Insights.American journal of clinical dermatology · 2025
    Review
  3. Review
  4. Article
  5. Article
  6. Biofilm-Associated Infections in Chronic Wounds and Their Management.Advances in experimental medicine and biology · 2023
    Article
  7. A metatranscriptomic approach to explore longitudinal tissue specimens from non-healing diabetes related foot ulcers.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2022
    Article
  8. Article
  9. Article
  10. What is slough? Defining the proteomic and microbial composition of slough and its implications for wound healing.Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society
    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

5 authors at 2 institutions in 2 countries.

Matthew MaloneSouth West Sydney Limb Preservation and Wound Research, South West Sydney Local Health District, Sydney, Australia.
Michael RadzietaSouth West Sydney Limb Preservation and Wound Research, South West Sydney Local Health District, Sydney, Australia.
Saskia SchwarzerSouth West Sydney Limb Preservation and Wound Research, South West Sydney Local Health District, Sydney, Australia.ORCID https://orcid.org/0000-0003-3854-8031
Slade O JensenSouth West Sydney Limb Preservation and Wound Research, South West Sydney Local Health District, Sydney, Australia.
Lawrence A LaveryDepartment of Plastic Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Sydney South West Area Health Service · AUThe University of Texas Southwestern Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This proof-of-concept study sought to determine the effects of standard of care (SOC) and a topically applied concentrated surfactant gel (SG) on the total microbial load, community composition, and community diversity in non-healing diabetic foot ulcers (DFUs) with chronic biofilm infections. SOC was provided in addition to a topical concentrated SG, applied every 2 days for 6 weeks. Wound swabs were obtained from the base of ulcers at baseline (week 0), week 1, mid-point (week 3), and end of treatment (week 6). DNA sequencing and real-time quantitative polymerase chain reaction (qPCR) were employed to determine the total microbial load, community composition, and diversity of patient samples. Tissue specimens were obtained at baseline and scanning electron microscopy and peptide nucleic acid fluorescent in situ hybridisation with confocal laser scanning microscopy were used to confirm the presence of biofilm in all 10 DFUs with suspected chronic biofilm infections. The application of SG resulted in 7 of 10 samples achieving a reduction in mean log10 total microbial load from baseline to end of treatment (0.8 Log10 16S copies, ±0.6), and 3 of 10 samples demonstrated an increase in mean Log10 total microbial load (0.6 log10 16S copies, ±0.8) from baseline to end of treatment. Composition changes in microbial communities were driven by changes to the most dominant bacteria. Corynebacterium sp. and Streptococcus sp. frequently reduced in relative abundance in patient samples from week 0 to week 6 but did not disappear. In contrast, Staphylococcus sp., Finegoldia sp., and Fusobacterium sp., relative abundances frequently increased in patient samples from week 0 to week 6. The application of a concentrated SG resulted in varying shifts to diversity (increase or decrease) between week 0 and week 6 samples at the individual patient level. Any shifts in community diversity were independent to changes in the total microbial loads. SOC and a topical concentrated SG directly affect the microbial loads and community composition of DFUs with chronic biofilm infections.

Indexed as

Diabetes MellitusDiabetic FootMicrobiotaBacteriaBiofilmsHumansSurface-Active AgentsSurface-Active Agentsbiofilmconcentrated surfactant geldiabetic foot ulcerPoloxomer-188

Identifiers

PMID33476485
PMCPMC8273583
OpenAlexW3125505623

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.