Evidence map›Paper›PMID 39773330›Full record

SynthesisEuropean journal of medical research2025

Extended-spectrum β-lactamase production and antimicrobial resistance among Enterobacteriaceae causing clinical infections in Africa: a systematic review and meta-analysis (2012-2020).

Getahun Kahsay Abay, Mebrahtu Teweldemedhin Shfare, Teklay Gebrecherkos Teklu, Kibriti Mehari Kidane, Tsega Kahsay Gebremeskel, Atsebaha Gebrekidan Kahsay, Kebede Embaye Gezae, Saravanan Muthupandian, Tsehaye Asmelash Degene

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

9 authors.

Getahun Kahsay AbayDepartment of Medical Microbiology & Immunology, College of Health Sciences, Mekelle University, Mekelle, Tigray, Ethiopia.
Mebrahtu Teweldemedhin ShfareDepartment of Medical Microbiology & Immunology, College of Health Sciences, Mekelle University, Mekelle, Tigray, Ethiopia. mebrie1216@gmail.com.
Teklay Gebrecherkos TekluDepartment of Medical Microbiology & Immunology, College of Health Sciences, Mekelle University, Mekelle, Tigray, Ethiopia.
Kibriti Mehari KidaneDepartment of Medical Microbiology & Immunology, College of Health Sciences, Mekelle University, Mekelle, Tigray, Ethiopia.
Tsega Kahsay GebremeskelDepartment of Medical Microbiology & Immunology, College of Health Sciences, Mekelle University, Mekelle, Tigray, Ethiopia.
Atsebaha Gebrekidan KahsayDepartment of Medical Microbiology & Immunology, College of Health Sciences, Mekelle University, Mekelle, Tigray, Ethiopia.
Kebede Embaye GezaeDepartment of Biostatistics, School of Public Health, College of Health Sciences, Mekelle University, Mekelle, Tigray, Ethiopia.
Saravanan MuthupandianDepartment of Medical Laboratory Technology, Faculty of Applied Medical Sciences, University of Tabuk, Tabuk 71491, Saudi Arabia.
Tsehaye Asmelash DegeneDepartment of Medical Microbiology & Immunology, College of Health Sciences, Mekelle University, Mekelle, Tigray, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWorldwide, antimicrobial resistance (AMR) has grown to represent a serious threat to the diagnosis, management, and prevention of bacterial diseases. Due to their multidrug resistance attributes, the WHO has classified extended-spectrum-β-lactamase-producing Enterobacteriaceae (ESBL-PE)-associated infections as infections of critical significance, posing a serious risk to human health. Thus, the goal of this systematic review and meta-analysis was to assess the pooled prevalence of ESBL-PE and AMR among strains causing clinical infections in Africa.

methodsIn this systematic review and meta-analysis, two investigators independently made an electronic search in Google Scholar and PubMed databases using related keywords and corresponding "MeSH." terms for the PubMed. The accessed studies were screened, assessed for eligibility, and critically evaluated as per the PRISMA guidelines. The prevalence and 95% confidence intervals (CI) for ESBL-PE in Africa were evaluated using a random-effects model of a meta-analysis. As a visual and statistical way assessment, the funnel plot and Egger's test were utilized to assess the risk of bias or publication bias, with a statistically significant level of bias being determined at p < 0.05.

resultsTwenty-six studies were included in the meta-analysis. Among the included studies done in Africa, the overall pooled proportion of ESBL-PE was reported to be 28% (95% CI 25-31%). ESBL-PE prevalence differed by region, the pooled estimates for East and North Africa were 29% (95% CI 20-38%) and 19% (95% CI 6-33%), respectively. The greatest sub-group analysis of pooled estimates among bacterial isolates was found in Klebsiella. pneumoniae, at 73% (95% CI 62-85%), while Proteus mirabilis had the lowest, at 40% (95% CI 1-81%).

conclusionsIn Africa, ESBL-PE is noticeably prevalent. The included studies demonstrated a significant variation in ESBL-PE resistance among the countries. This illustrates the necessity of actively monitoring antimicrobial resistance in Africa to develop interventions aimed at halting the spread of ESBL-PE.

Indexed as

beta-LactamasesEnterobacteriaceaeEnterobacteriaceae InfectionsAfricaAnti-Bacterial AgentsDrug Resistance, Multiple, BacterialHumansMicrobial Sensitivity TestsPrevalenceAnti-Bacterial Agentsbeta-LactamasesAfricaAntimicrobial resistanceEnterobacteriaceaeExtended-spectrum ß-lactamase

Identifiers

PMID39773330
PMCPMC11706086

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.