Evidence map›Paper›PMID 29682325›Full record

ReviewFuture science OA2018

Antimicrobial resistance mechanisms and potential synthetic treatments.

Junaid Ali, Qasim A Rafiq, Elizabeth Ratcliffe

Abstract readReview
In one paragraph

Review in Future science OA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
–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

44 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. Retrospective analysis of antimicrobial resistance in bacterial pathogens from pet rabbits in Hong Kong, 2019-2022.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2024
    Article
  11. Article
  12. Review
  13. Antibacterial effect ofOpen veterinary journal · 2024
    Article
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  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Deciphering the Role ofIndian journal of microbiology · 2022
    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

3 authors.

Junaid AliDepartment of Chemical Engineering, Centre for Biological Engineering, Loughborough University, Loughborough, Leicestershire, LE11 3TU, UK.
Qasim A RafiqAdvanced Centre for Biochemical Engineering, Department of Biochemical Engineering, University College London, London, WC1E 6BT, UK.
Elizabeth RatcliffeDepartment of Chemical Engineering, Centre for Biological Engineering, Loughborough University, Loughborough, Leicestershire, LE11 3TU, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the discovery of antibiotics by Sir Alexander Fleming they have been used throughout medicine and play a vital role in combating microorganisms. However, with their vast use, development of resistance has become more prevalent and their use is currently under threat. Antibiotic resistance poses a global threat to human and animal health, with many bacterial species having developed some form of resistance and in some cases within a year of first exposure to antimicrobial agents. This review aims to examine some of the mechanisms behind resistance. Additionally, re-engineering organisms, re-sensitizing bacteria to antibiotics and gene-editing techniques such as the clustered regularly interspaced short palindromic repeats-Cas9 system are providing novel approaches to combat bacterial resistance. To that extent, we have reviewed some of these novel and innovative technologies.

Indexed as

antibioticsantimicrobial resistanceinfectious agentsmolecular biologyre-sensitizingresistance mechanisms

Identifiers

PMID29682325
PMCPMC5905577

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.