Evidence map›Paper›PMID 42212798›Full record

ArticleMicrobiology spectrum2026

Beyond Mueller-Hinton agar: comparative evaluation of agar media for antibiotic susceptibility testing and implications for resource-limited laboratory settings.

Abraham Goodness Ogofure, Ezekiel Green, Etinosa Ogbomoede Igbinosa

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Microbiology spectrum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Abraham Goodness OgofureDepartment of Biotechnology and Food Technology, University of Johannesburg, Johannesburg, South Africa.ORCID 0000-0002-6012-0405
Ezekiel GreenDepartment of Biotechnology and Food Technology, University of Johannesburg, Johannesburg, South Africa.ORCID 0000-0002-4962-0724
Etinosa Ogbomoede IgbinosaDepartment of Biotechnology and Food Technology, University of Johannesburg, Johannesburg, South Africa.ORCID 0000-0001-7441-2145

Funding

University Research Committee, University of Johannesburg 075432
6 · The paper itself

Abstract

This study conducted a proof-of-concept risk assessment to compare the performance of available culture media with Mueller-Hinton agar (MHA) as the reference standard in antimicrobial susceptibility testing (AST) in resource-limited laboratories. Seven culture media were assessed using nine reference bacterial strains, tested against eight broad-spectrum antibiotics. Kirby-Bauer disc diffusion assay, zone diameter agreement (ZDA) of ±2 mm, similarity metrics, reproducibility indices, and multivariate approaches were performed. Data analysis was conducted in R-Studio using a comprehensive suite of statistical packages. Ward's hierarchical clustering and Euclidean distance metrics revealed clear media-specific differences in antimicrobial diffusion patterns. MHA consistently produced the largest inhibition zones, approximately 75%, serving as the reference anchor for comparison. Others exhibited moderately comparable zone diameters, whereas nutrient and plate count agars produced consistently smaller zones. ZDA ranged from 66.7% (plate count agar [PCA]) to 81.9% (nutrient agar [NA] and peptone water agar [PWA]), with no medium achieving the ≥90% threshold used in published disk diffusion media comparisons. Categorical agreement assessed using CLSI breakpoints ranged from 92.3% to 96.2% per medium; no very major errors were observed, while major errors (2.6%) and minor errors (3.8%) were concentrated in two specific organism-antibiotic combinations, indicating a clinically relevant risk of interpretive error when MHA is substituted. Correlation analysis showed the strongest concordance for Luria-Bertani (r = 0.834) and rapid sensitivity test agar (r = 0.791). Most media underestimated zone diameters, but some demonstrated partial similarity to MHA, with none fully replicating its performance characteristics. These findings underscore the diagnostic risks associated with media substitution and highlight the need for strengthened AST. IMPORTANCE: Antimicrobial susceptibility testing (AST) is essential for guiding treatment of bacterial infections, yet its reliability depends on standardized media. In many resource-limited laboratories, Mueller-Hinton agar (MHA) is often substituted with more readily available media due to cost and access constraints. However, the performance and risks associated with this widespread practice remain poorly characterized. Our study provides critical data on the performance of commonly substituted media, including the magnitude and direction of interpretive errors when standard clinical breakpoints are applied. It also identifies specific organism-antibiotic combinations with the highest risk of misclassification. While some alternative media showed partial similarity, none fully replicated MHA's performance. Our study does not advocate for modifying established standards or introducing new breakpoints, but documents a common practice, quantifies the associated diagnostic risks, and offers evidence-based guidance to reduce harm when standard methods are unavailable. These findings support quality improvement efforts and reinforce the need to strengthen diagnostic capacity in resource-limited settings.

Indexed as

AgarAnti-Bacterial AgentsBacteriaCulture MediaMicrobial Sensitivity TestsReproducibility of ResultsResource-Limited SettingsAgarAnti-Bacterial AgentsCulture Mediaantimicrobial susceptibility testingdisk-diffusion assayLuria-Bertani agarMueller–Hinton agarnutrient agar

Identifiers

PMID42212798
PMCPMC13340060

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.