Evidence map›Paper›PMID 39766587›Full record

ReviewAntibiotics (Basel, Switzerland)2024

Evaluation of Antibiotic Resistance Mechanisms in Gram-Positive Bacteria.

Pratiksing Rajput, Kazi S Nahar, Khondaker Miraz Rahman

Abstract readReview
In one paragraph

Review in Antibiotics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
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  8. Methicillin-ResistantInternational journal of molecular sciences · 2026
    Review
  9. Hexane extract ofRSC advances · 2026
    Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
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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.

Pratiksing RajputInstitute of Pharmaceutical Science, King's College London, 150 Stamford Street, London SE1 9NH, UK.ORCID 0000-0002-9686-6057
Kazi S NaharDepartment of Natural Sciences, Faculty of Science & Technology, Middlesex University, The Burroughs, Hendon, London NW4 4BT, UK.
Khondaker Miraz RahmanInstitute of Pharmaceutical Science, King's College London, 150 Stamford Street, London SE1 9NH, UK.ORCID 0000-0001-8566-8648

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of resistance in Gram-positive bacterial infections is rapidly rising, presenting a pressing global challenge for both healthcare systems and economies. The WHO categorizes these bacteria into critical, high, and medium priority groups based on the urgency for developing new antibiotics. While the first priority pathogen list was issued in 2017, the 2024 list remains largely unchanged. Despite six years having passed, the progress that has been made in developing novel treatment approaches remains insufficient, allowing antimicrobial resistance to persist and worsen on a global scale. Various strategies have been implemented to address this growing threat by targeting specific resistance mechanisms. This review evaluates antimicrobial resistance (AMR) in Gram-positive bacteria, highlighting its critical impact on global health due to the rise of multidrug-resistant pathogens. It focuses on the unique cell wall structure of Gram-positive bacteria, which influences their identification and susceptibility to antibiotics. The review explores the mechanisms of AMR, including enzymatic inactivation, modification of drug targets, limiting drug uptake, and increased drug efflux. It also examines the resistance strategies employed by high-priority Gram-positive pathogens such as

Indexed as

antibioticsantimicrobial resistance (AMR)E. faeciumgram-positivemultidrug resistance (MDR)priority pathogenS. aureusS. pneumoniae

Identifiers

PMID39766587
PMCPMC11672434

What Socratic 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 Socratic graph.