Evidence map›Paper›PMID 31463386›Full record

ReviewHeliyon2019

Challenges of intervention, treatment, and antibiotic resistance of biofilm-forming microorganisms.

Gebreselema Gebreyohannes, Andrew Nyerere, Christine Bii, Desta Berhe Sbhatu

Abstract readReview
In one paragraph

Review in Heliyon, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 179 papers.

0numbers the graph read from it
0cells of the map it votes in
179citing 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

179 citing papers in PubMed.

  1. Review
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  14. Bioactive Constituents ofDrug design, development and therapy · 2026
    Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Antimicrobial resistance and biofilm-forming ability inVeterinary and animal science · 2025
    Article
  20. Article

119 more citing papers are in PubMed but not listed here.

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.

Gebreselema GebreyohannesDepartment of Biological and Chemical Engineering, Mekelle Institute of Technology, Mekelle University, Ethiopia.
Andrew NyerereDepartment of Medical Microbiology, College of Health Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.
Christine BiiCenter for Microbiology Research, Kenya Medical Research Institute, Nairobi, Kenya.
Desta Berhe SbhatuDepartment of Biological and Chemical Engineering, Mekelle Institute of Technology, Mekelle University, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBiofilms are multicellular communities of microorganisms held together by a self-produced extracellular matrix. The ability of microbes to form biofilm is a universal, ubiquitous, and dynamic process. This dynamic process of biofilms establishes an important strategy to withstand and survive harsh environmental conditions and antimicrobial agents.

objectiveThis review paper aims to give an overview of antibiotic resistance, intervention, and treatment of infections caused by biofilm-forming organisms. Moreover, it can also help to motivate scholars to search for new anti-biofilm strategies and most appropriate methods to tackle the effect of biofilm infections on healthcare services.

methodsThis paper was written by reviewing recent research and review articles which are reporting about the antibiotic resistance, prevention, and treatment of biofilm-producing organisms.

conclusionBioprospecting for quorum quenching compounds can be an appropriate solution for controlling biofilm infections.

Indexed as

Antibiotic resistanceBiofilmsInterventionMicrobiologyQuorum sensingTreatment

Identifiers

PMID31463386
PMCPMC6709409

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.