Evidence map›Paper›PMID 41934336›Full record

ArticleThe Journal of antimicrobial chemotherapy2026

Insights from the WHO Tricycle-aligned Fleming Fund EQASIA External Quality Assessment (EQA) programme detecting ESBL-, AmpC- and carbapenemase-producing Escherichia coli in South and South-East Asia.

Hiba Al-Mir, Praissy Zefi Jeyakumar, Tomislav Kostyanev, Faisal Ahmad Khan, Lone Brink Rasmussen, Maimoona Emmad, Freshwork Ayalew Abegaz, Patrícia Teixeira Dos Santos, Soo-Young Kwon, Rangsiya Prathan and 11 more

Abstract read
In one paragraph

Article in The Journal of antimicrobial chemotherapy, 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

21 authors.

Hiba Al-MirTechnical University of Denmark, National Food Institute, Kongens Lyngby, Denmark.ORCID 0000-0002-6256-6101
Praissy Zefi JeyakumarTechnical University of Denmark, National Food Institute, Kongens Lyngby, Denmark.
Tomislav KostyanevDepartment of Clinical Microbiology, University Hospital of Southern Denmark-South-West Jutland, Esbjerg, Denmark.ORCID 0000-0002-1259-4876
Faisal Ahmad KhanTechnical University of Denmark, National Food Institute, Kongens Lyngby, Denmark.
Lone Brink RasmussenTechnical University of Denmark, National Food Institute, Kongens Lyngby, Denmark.
Maimoona EmmadTechnical University of Denmark, National Food Institute, Kongens Lyngby, Denmark.
Freshwork Ayalew AbegazEpidemiology, Public Health, Impact Unit (EPIC), International Vaccine Institute, Seoul, South Korea.
Patrícia Teixeira Dos SantosTechnical University of Denmark, National Food Institute, Kongens Lyngby, Denmark.
Soo-Young KwonEpidemiology, Public Health, Impact Unit (EPIC), International Vaccine Institute, Seoul, South Korea.
Rangsiya PrathanResearch Unit for Microbial Food Safety and Antimicrobial Resistance, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.
Taradon LuangtongkumResearch Unit for Microbial Food Safety and Antimicrobial Resistance, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.
Pattrarat ChanchaithongResearch Unit for Microbial Food Safety and Antimicrobial Resistance, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.ORCID 0000-0002-8979-2440
Pitak SantanirandResearch Unit for Microbial Food Safety and Antimicrobial Resistance, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.
Watcharaporn KamjumphoDepartment of Medical Sciences, National Institute of Health, Bangkok, Thailand.
Ondari D MogeniEpidemiology, Public Health, Impact Unit (EPIC), International Vaccine Institute, Seoul, South Korea.
Tobin GuarnacciEpidemiology, Public Health, Impact Unit (EPIC), International Vaccine Institute, Seoul, South Korea.
Marianne HolmEpidemiology, Public Health, Impact Unit (EPIC), International Vaccine Institute, Seoul, South Korea.
Wantana PaveenkittipornDepartment of Medical Sciences, National Institute of Health, Bangkok, Thailand.
Nimesh PoudyalEpidemiology, Public Health, Impact Unit (EPIC), International Vaccine Institute, Seoul, South Korea.ORCID 0000-0002-4156-7017
Rungtip ChuanchuenResearch Unit for Microbial Food Safety and Antimicrobial Resistance, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.ORCID 0000-0002-9714-9199
Rene S HendriksenTechnical University of Denmark, National Food Institute, Kongens Lyngby, Denmark.

Funding

Regional Grant FF64-474UK Department of Health and Social Care'sUK International Development
6 · The paper itself

Abstract

objectivesThe increasing prevalence of antimicrobial resistance (AMR) in Escherichia coli, notably those producing AmpC, ESBL and carbapenemases among food-producing animals, poses a significant public health threat, especially in low- and middle-income countries. With support from the Fleming Fund and in alignment with the WHO, FAO and WOAH tripartite Tricycle project, the EQASIA Matrix External Quality Assessment (EQA) scheme aimed at evaluating laboratories' proficiency from different One Health (OH) sectors in detecting resistant E. coli from food-like matrices in South and South-East Asia.

methodsBetween 2021 and 2024, four Matrix EQA rounds were implemented across OH sectors. Each round involved four lyophilized simulated meat samples spiked with well-characterized E. coli strains expressing β-lactam resistance phenotypes. Participating laboratories performed selective isolation, species identification, antimicrobial susceptibility testing (AST) and phenotypic classification using routine methods. Results were submitted via a secure online platform and evaluated against expected outcomes, using CLSI-based interpretive criteria and a standardized error categorization system.

resultsTwenty-one laboratories from 10 countries participated across the four rounds. Accuracy in E. coli identification declined from 75% in 2021 to 23.1% in 2024. Only one laboratory achieved full identification accuracy in any round. AST performance showed inter-laboratory variation, with deviation rates ranging from 0.5% to 41%. Misclassification of resistance phenotypes, particularly AmpC and combined ESBL + AmpC, was common. Quality control testing improved modestly over time but remained incomplete.

conclusionsThe Matrix EQA revealed critical insights into regional laboratory capacity and highlighted persistent technical gaps in detecting complex resistance mechanisms from food matrices. With the conclusion of the Fleming Fund, maintaining these gains will require sustained national investment, EQA integration into AMR strategies and continued regional coordination to support Tricycle-aligned surveillance.

Indexed as

Bacterial Proteinsbeta-LactamasesEscherichia coliEscherichia coli InfectionsLaboratory Proficiency TestingAnimalsAnti-Bacterial AgentsAsia, SoutheasternHumansMeatMicrobial Sensitivity TestsAmpC beta-lactamasesAnti-Bacterial AgentsBacterial Proteinsbeta-Lactamasescarbapenemase

Identifiers

PMID41934336
PMCPMC13049547

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Registered trials

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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.