Evidence map›Paper›PMID 41312414›Full record

ReviewBioMed research international2025

Antimicrobial Multidrug Resistance and Mechanisms of Action: An Overview.

Abraham Belete Temesgen, Samuel Atalay Shiferaw

Abstract readReview
In one paragraph

Review in BioMed research international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. 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

2 authors.

Abraham Belete TemesgenDepartment of Veterinary Pathobiology, College of Veterinary Medicine and Animal Sciences, University of Gondar, Gondar, Ethiopia, uog.edu.et.ORCID https://orcid.org/0009-0009-5926-5568
Samuel Atalay ShiferawAmhara National Regional Health Bureau, Bahir Dar, Amhara, Ethiopia.ORCID https://orcid.org/0009-0005-9067-7852

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial multidrug resistance is the ability of microorganisms to withstand the effects of several antimicrobial agents, presenting a major challenge to modern healthcare systems worldwide. Although considerable research has been conducted, the molecular and evolutionary mechanisms underlying resistance are still not completely understood. This review brings together current knowledge to explain how resistance originates, spreads, and persists in different pathogens. Microorganisms may show primary resistance, which arises naturally without prior exposure to drugs, or acquired resistance, which develops after contact with antimicrobial agents. Intrinsic resistance is related to structural or functional traits that are naturally present in specific species. Strains that are extensively resistant demonstrate survival against a wide range of important drugs, while clinical resistance becomes evident when standard treatments fail to control infections effectively. Pathogens employ several mechanisms, including enzymatic inactivation of drugs, modification of target sites, reduced drug uptake, and active efflux systems. Parasitic and fungal pathogens often rely on impaired drug transport and altered molecular targets, whereas viruses adopt multiple strategies to escape the activity of antiviral drugs. The appearance of highly resistant organisms such as methicillin-resistant

Indexed as

Anti-Infective AgentsDrug Resistance, MultipleDrug Resistance, Multiple, BacterialAnimalsHumansMethicillin-Resistant Staphylococcus aureusAnti-Infective Agentsacquired resistanceantimicrobial multidrug resistancebacteriafungiintrinsic resistanceparasitesviruses

Identifiers

PMID41312414
PMCPMC12646968

What OpenQuestion holds

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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.