Skip to content
#data science Review Open access

Prevalence, molecular epidemiology and antibiotic resistance of extended-spectrum β-lactamase-producing Enterobacterales (2020–2024): a systematic review and meta-analysis of regional and between-study variation

Oct 2026 · Antimicrobial Resistance and Infection Control
Antibiotic Resistance in Bacteria

Abstract

Summary Background Previous reviews of extended-spectrum β-lactamase-producing Enterobacterales (ESBL-E) focused on specific populations, species or regions, while surveillance platforms omit gene distribution, detection-method variability and species-specific resistance. We synthesised 2020–2024 evidence on ESBL-E prevalence, molecular epidemiology and antibiotic resistance across World Bank regions. Methods Following PRISMA 2020 and PROSPERO registration (CRD420251001467), we searched PubMed, MEDLINE, Scopus and Web of Science on 27 March 2025 for 2020–2024 ESBL-E data from diagnostic specimens or colonisation screening. Random-effects models generated pooled estimates. Heterogeneity was assessed using Cochran’s Q, I² and 95% prediction intervals and explored through pre-specified subgroup analyses and meta-regression. Risk of bias and certainty of evidence were assessed using Joanna Briggs Institute checklists and an adapted GRADE approach. Results Among 140 eligible studies, 120 contributed prevalence data for 18,691 isolates, of which 9,103 were ESBL-positive isolates. Pooled prevalence was 50.37% (95% CI 45.79–54.95; I² = 97.30%; prediction interval 8.00–92.00%), thus making this estimate descriptive rather than generalisable. Certainty was low to very low, driven mainly by very serious inconsistency. Regional estimates ranged from 36.84% in Europe and Central Asia to 55.54% in East Asia and the Pacific, but no regional association was detected in meta-regression ( P = 0.58; R² = 0.00). CTX-M enzymes predominated; bla CTX−M−15 varied by region ( P < 0.001), from 20.11% in East Asia and the Pacific to 89.00% in the Middle East and North Africa. Resistance to fluoroquinolones (55.23–63.27%) and trimethoprim/sulfamethoxazole (74.54%) was common. Detection method was the only significant prevalence moderator ( P = 0.004; genotypic 73.93% versus phenotypic 47.09%); this was an exploratory study-level contrast rather than a paired isolate-level comparison. Klebsiella pneumoniae showed higher pooled resistance than Escherichia coli , including to carbapenems (20.06–37.68% versus 6.17–8.80%), but species were not formally compared. Carbapenem resistance may reflect additional mechanisms, as carbapenemase status was rarely confirmed. Conclusion ESBL production was common in the isolate-level evidence, but extreme heterogeneity limits generalisability. An exploratory regional signal was retained for bla CTX−M−15 , while high co-resistance supports locally interpreted surveillance and context-specific antimicrobial stewardship. These descriptive findings should not be used as stand-alone clinical guidance.

View source

Similar papers

#computer vision Review Sep 2017

Agile Software Development Methods: Review and Analysis

This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.

P. Abrahamsson, O. Salo, Jussi Ronkainen et al. · 727 citations · ⚡54
#computer vision Jun 2008

The impact of agile practices on communication in software development

The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.

M. Pikkarainen, Jukka Haikara, O. Salo et al. · 401 citations · ⚡48
#machine learning Review Open access Oct 2014

Software development in startup companies: A systematic mapping study

The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.

Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al. · 394 citations · ⚡54

Trajectory Balance: Improved Credit Assignment in GFlowNets

It is proved that any global minimizer of the trajectory balance objective can define a policy that samples exactly from the target distribution, and empirically demonstrate the benefits of the trajectories balance objective for GFlowNet convergence, diversity of generated samples, and robustness to long action sequenc...

Esmeralda S. Whitammer, Moksh Jain, Emmanuel Bengio et al. · 302 citations · ⚡60

Related blog posts

Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity.  The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.