Evidence map›Paper›PMID 42397472›Full record

ReviewMolecular biology reports2026

Beyond susceptibility results: understanding the clinical and diagnostic burden of bacterial heteroresistance.

Esra Taş, Feride Mehtap Yücel

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biology reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Esra TaşFaculty of Medicine, Department of Medical Microbiology, Samsun University, Samsun, Türkiye. esra.tas@samsun.edu.tr.ORCID http://orcid.org/0000-0003-0652-5847
Feride Mehtap YücelFaculty of Medicine, Department of Medical Biochemistry, Samsun University, Samsun, Türkiye.ORCID http://orcid.org/0000-0002-8147-1028

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heteroresistance has emerged as a clinically significant form of antimicrobial resistance that challenges microbiology laboratories, infectious disease management, and public health systems. It is defined by the presence of resistant subpopulations within an otherwise phenotypically susceptible bacterial population, capable of surviving high antibiotic concentrations. As conventional antimicrobial susceptibility testing methods frequently fail to detect these minor subpopulations, heteroresistance is associated with diagnostic uncertainty, treatment failure, recurrent infections, and the selection and expansion of resistant strains. Accumulating evidence across diverse bacterial species, particularly among Gram-negative pathogens, has highlighted the growing clinical relevance of this phenomenon. Despite this, its recognition and management remain hindered by the lack of standardized diagnostic methodologies, incomplete elucidation of underlying molecular mechanisms, and limited incorporation into clinical guidelines. This review provides a comprehensive overview of heteroresistance, emphasizing its definition, diagnostic challenges, and clinical implications, while aiming to increase awareness of its clinical significance. Furthermore, it addresses key knowledge gaps and outlines perspectives aimed at improving detection strategies and informing more effective therapeutic decision-making.

Indexed as

Anti-Bacterial AgentsBacteriaBacterial InfectionsDrug Resistance, BacterialHumansMicrobial Sensitivity TestsAnti-Bacterial Agentsantimicrobial resistancediagnostic challengesHeteroresistancepopulation analysis profiling (PAP)treatment failure

Identifiers

PMID42397472

What OpenQuestion holds

Textmetadata
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.