Evidence map›Paper›PMID 31073310›Full record

ArticleInternational journal of microbiology2019

Antibacterial Activity of Honey against Methicillin-Resistant

Mohammedaman Mama, Teklu Teshome, Jafer Detamo

Open access · goldAbstract read
In one paragraph

Article in International journal of microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
7.6field-weighted citation impact, top 3% 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

23 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Honey as a Natural Antimicrobial.Antibiotics (Basel, Switzerland) · 2025
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Therapeutic Potential of Honey and Propolis on Ocular Disease.Pharmaceuticals (Basel, Switzerland) · 2022
    Review
  15. Plants (Basel, Switzerland) · 2022
    Review
  16. Review
  17. Review
  18. Antibacterial properties ofSaudi journal of biological sciences · 2022
    Article
  19. BioMed research international · 2022
    Article
  20. 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

3 authors at 2 institutions in 1 country.

Mohammedaman MamaMadda Walabu University, Goba Referral Hospital, Department of Medical Laboratory Science, Goba, Ethiopia.ORCID 0000-0001-8698-399X
Teklu TeshomeArba Minch University, College of Medicine and Health Sciences, Department of Biomedical Sciences, Arba Minch, Ethiopia.
Jafer DetamoArba Minch University, College of Medicine and Health Sciences, Department of Pharmacy, Arba Minch, Ethiopia.
Arba Minch University · ETMadda Walabu University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntimicrobial drug resistance is one of the serious issues this world is facing nowadays, and increased cost of searching for effective antimicrobial agents and the decreased rate of new drug discovery have made the situation increasingly worrisome.

objectiveThe aim of this study is to determine in vitro antibacterial activity of honey against methicillin-resistant

methodsAn experimental study was conducted from May to November 2017. Methicillin resistance was detected using cefoxitin (30

resultsIn this study, 36 bacterial isolates were recovered from 50 specimens, showing an isolation rate of 72%. The predominant bacteria isolated from the infected wounds were

conclusionsTested honey has both a bacteriostatic and bactericidal activity. Among the tested honey, "honey-2" had high antibacterial potency than others.

Identifiers

PMID31073310
PMCPMC6470442
OpenAlexW2928928543

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.