Evidence map›Paper›PMID 28743314›Full record

ArticleBMC research notes2017

Multidrug resistant bacteria are sensitive to Euphorbia prostrata and six others Cameroonian medicinal plants extracts.

Igor K Voukeng, Veronique P Beng, Victor Kuete

Abstract read
In one paragraph

Article in BMC research notes, 2017. 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
–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

10 citing papers in PubMed.

  1. Review
  2. The GenusMolecules (Basel, Switzerland) · 2026
    Review
  3. Article
  4. Review
  5. Review
  6. Green Synthesis of Silver Nanoparticles UsingMolecules (Basel, Switzerland) · 2022
    Article
  7. Article
  8. Article
  9. Review
  10. Evidence-based complementary and alternative medicine : eCAM · 2018
    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.

Igor K VoukengDepartment of Biochemistry, Faculty of Science, University of Dschang, Dschang, Cameroon.
Veronique P BengDepartment of Biochemistry, Faculty of Science, University of Yaounde I, Yaounde, Cameroon.
Victor KueteDepartment of Biochemistry, Faculty of Science, University of Dschang, Dschang, Cameroon. kuetevictor@yahoo.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultidrug resistant (MDR) bacteria are responsible for therapeutic failure and there is an urgent need for novels compounds efficient on them.

methodsEleven methanol extracts from seven Cameroonian medicinal plants were tested for their antibacterial activity using broth micro-dilution method against 36 MDR bacterial strains including Escherichia coli, Enterobacter aerogenes, Enterobacter cloacae, Klebsiella pneumoniae, Providencia stuartii, Pseudomonas aeruginosa and Staphylococcus aureus.

resultsEuphorbia prostrata extract was found active against all the 36 tested bacteria including Gram-negative phenotypes over-expressing efflux pumps such as P. aeruginosa PA124, E. aerogenes CM64 and E. coli AG102. E. prostrata had minimal inhibitory concentrations values between 128 and 256 µg/mL on 55.55% of the studied microorganisms. Other plants extract displayed selective antibacterial activity.

conclusionsResults obtained in this study highlight the antibacterial potential of the tested plants and the possible use of E. prostrata to combat bacterial infections including MDR phenotypes.

Indexed as

Anti-Bacterial AgentsBacteriaCameroonDrug Resistance, Multiple, BacterialEuphorbiaMicrobial Sensitivity TestsPhytochemicalsPlant ExtractsPlants, MedicinalAnti-Bacterial AgentsPhytochemicalsPlant ExtractsAntimicrobialCameroonEuphorbia prostrataMedicinal plantMultidrug resistance

Identifiers

PMID28743314
PMCPMC5526298

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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.