Evidence map›Paper›PMID 34930030›Full record

ArticleAntimicrobial agents and chemotherapy2022

Yash S Raval, Abdelrhman Mohamed, Jayawant N Mandrekar, Cody Fisher, Kerryl E Greenwood-Quaintance, Haluk Beyenal, Robin Patel

Open access · greenAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Safety trial assessing 1.77 cmScientific reports · 2025
    Article
  2. Article
  3. Article
  4. Advanced therapeutics · 2023
    Article
  5. Antimicrobial agents and chemotherapy · 2023
    Article
  6. Article
  7. HWound 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

7 authors at 3 institutions in 1 country.

Yash S RavalDivision of Clinical Microbiology, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA.ORCID 0000-0003-1161-4000
Abdelrhman MohamedThe Gene and Linda Voiland School of Chemical Engineering and Bioengineering, Washington State Universitygrid.30064.31, Pullman, Washington, USA.ORCID 0000-0003-2132-0487
Jayawant N MandrekarDepartment of Quantitative Health Sciences, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA.
Cody FisherDivision of Clinical Microbiology, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA.
Kerryl E Greenwood-QuaintanceDivision of Clinical Microbiology, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA.
Haluk BeyenalThe Gene and Linda Voiland School of Chemical Engineering and Bioengineering, Washington State Universitygrid.30064.31, Pullman, Washington, USA.
Robin PatelDivision of Clinical Microbiology, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA.ORCID 0000-0001-6344-4141
Mayo Clinic · USWashington State University · USMayo Clinic in Florida · US

Funding

The Electricidal Effect, a Novel Anti-Biofilm StrategyR01AI091594 · NIAID · MAYO CLINIC ROCHESTER · PI Haluk Beyenal, Robin Patel · 2011 to 2026
$5.5M
NIAID NIH HHS R01 AI091594
6 · The paper itself

Abstract

Wound infections are caused by bacteria and/or fungi. The presence of fungal biofilms in wound beds presents a unique challenge, as fungal biofilms may be difficult to eradicate. The goal of this work was to assess the

Indexed as

BandagesBiofilmsHydrogen PeroxideWound InfectionElectrochemistryHumansYeastsHydrogen PeroxideCandidaelectrochemical bandagehydrogen peroxideyeast biofilm

Identifiers

PMID34930030
PMCPMC8846466
OpenAlexW4200038932

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.