Evidence map›Paper›PMID 29270161›Full record

ArticleFrontiers in microbiology2017

Antimicrobial Potential of Carvacrol against Uropathogenic

Imran Khan, Ashutosh Bahuguna, Pradeep Kumar, Vivek K Bajpai, Sun C Kang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
10.3field-weighted citation impact, top 2% 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

59 citing papers in PubMed, 136 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. In Vitro Evaluation of the Antimicrobial Activity ofCurrent issues in molecular biology · 2026
    Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Essential oils and their blends: mechanism of antibacterial activity and antibiofilm potential on food-grade maize starch packaging films.International microbiology : the official journal of the Spanish Society for Microbiology · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Transcriptomic Analysis Revealed Antimicrobial Mechanisms ofInternational journal of molecular sciences · 2022
    Article
  19. Review
  20. Review
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 3 institutions in 2 countries.

Imran KhanDepartment of Biotechnology, Daegu University, Gyeongsan, South Korea.
Ashutosh BahugunaDepartment of Biotechnology, Daegu University, Gyeongsan, South Korea.
Pradeep KumarDepartment of Forestry, North Eastern Regional Institute of Science and Technology, Nirjuli, India.
Vivek K BajpaiDepartment of Applied Microbiology and Biotechnology, Yeungnam University, Gyeongsan, South Korea.
Sun C KangDepartment of Biotechnology, Daegu University, Gyeongsan, South Korea.
Daegu University · KRNorth Eastern Regional Institute of Science and Technology · INYeungnam University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial resistance to antibiotics poses a serious threat to cure diseases associated with microbial infection. Among the resistant bacteria, extended-spectrum β-lactamase (ESBL)-producing bacteria are the most concerned one as they encode the enzyme β-lactamase that confers resistance to most β-lactam antibiotics. The present study was carried out to determine the antimicrobial potential and the principle mechanism of action of carvacrol against ESBL

Indexed as

carvacrolEscherichia colieuropathogenextended-spectrum β-lactamasereactive oxygen speciesurinary tract infection

Identifiers

PMID29270161
PMCPMC5724232
OpenAlexW2773819160

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.