Evidence map›Paper›PMID 31219077›Full record

ReviewThe Indian journal of medical research2019

Efflux pump inhibitors for bacterial pathogens: From bench to bedside.

Atin Sharma, Vivek Kumar Gupta, Ranjana Pathania

Abstract readReview
In one paragraph

Review in The Indian journal of medical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 219 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
219citing papers in PubMed, 2 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

219 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  15. Synergy Between the Auranofin Analogue PEtInternational journal of molecular sciences · 2026
    Article
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  17. Methicillin-ResistantInternational journal of molecular sciences · 2026
    Review
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  19. Article
  20. Article

159 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

3 authors.

Atin SharmaDepartment of Biotechnology, Indian Institute of Technology, Roorkee, India.
Vivek Kumar GuptaDepartment of Biotechnology, Indian Institute of Technology, Roorkee, India.
Ranjana PathaniaDepartment of Biotechnology, Indian Institute of Technology, Roorkee, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the advent of antibiotics, bacterial infections were supposed to be a thing of past. However, this instead led to the selection and evolution of bacteria with mechanisms to counter the action of antibiotics. Antibiotic efflux is one of the major mechanisms, whereby bacteria pump out the antibiotics from their cellular interior to the external environment using special transporter proteins called efflux pumps. Inhibiting these pumps seems to be an attractive strategy at a time when novel antibiotic supplies are dwindling. Molecules capable of inhibiting these pumps, known as efflux pump inhibitors (EPIs), have been viewed as potential therapeutic agents that can rejuvenate the activity of antibiotics that are no longer effective against bacterial pathogens. EPIs follow some general mechanisms of efflux inhibition and are derived from various natural as well as synthetic sources. This review focuses on EPIs and identifies the challenges that have kept these futuristic therapeutics away from the commercial realm so far.

Indexed as

Drug Resistance, Multiple, BacterialAnti-Bacterial AgentsAnti-Infective AgentsBacteriaBacterial InfectionsHumansIndiaMembrane Transport ProteinsAnti-Bacterial AgentsAnti-Infective AgentsMembrane Transport ProteinsAntibioticsefflux pumpsmultiple drug resistancepathogenstherapeutics

Identifiers

PMID31219077
PMCPMC6563736

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.