Evidence map›Paper›PMID 40349047›Full record

SynthesisAnnals of clinical microbiology and antimicrobials2025

Prevalence, trends, and molecular insights into colistin resistance among gram-negative bacteria in Egypt: a systematic review and meta-analysis.

Ahmed Azzam, Haitham Salem, Mahmoud Nazih, Enas Mohamed Lotfy, Fatma E Hassan, Heba Khaled

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Annals of clinical microbiology and antimicrobials, 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.

  1. Article
  2. Antibiotic resistance mechanisms and global resistance patterns of Pseudomonas aeruginosa in microbial keratitis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Review
  3. Article
  4. Article
  5. Expanding Threat of Carbapenemase-ProducingbioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
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

6 authors.

Ahmed AzzamDepartment of Microbiology and Immunology, Faculty of Pharmacy, Helwan University, Cairo, Egypt.
Haitham SalemFaculty of Medicine, Ain Shams University, Cairo, Egypt.
Mahmoud NazihAl Ryada University for Science and Technology (RST), ElMehwar ElMarkazy-2, Cairo - Alex desert RD K92, 16504, Egypt. Mahmoud.Nazih5698@pharm.aun.edu.eg.
Enas Mohamed LotfyDepartment of Nursing and Hospital Management, Military Medical Academy, Cairo, Egypt.
Fatma E HassanGeneral Medicine Practice Program, Department of Physiology, Batterjee Medical College, Jeddah, 21442, Saudi Arabia.
Heba KhaledDepartment of Biochemistry, Faculty of Pharmacy, Cairo University, Cairo, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study examines colistin resistance in Gram-negative bacteria in Egypt, analyzing prevalence, trends, geographic variations, colistin-carbapenem resistance correlation, and mcr-mediated plasmid resistance.

methodsWe conducted a systematic search of articles published between 2014 and 2024 that reported on colistin or mcr-mediated resistance in Gram-negative bacteria isolated from human infections in Egypt, with clearly defined susceptibility testing methods. A random-effects meta-analysis was conducted to estimate colistin resistance prevalence based on broth microdilution (BMD) findings, the gold standard method. To explore the influence of study-level factors-including alternative susceptibility testing methods-a multivariate meta-regression analysis was performed. The results of the meta-regression are reported as regression coefficients (β), representing the difference in colistin resistance, expressed in percentage points. All statistical analyses were conducted using R software.

resultsThis analysis included 55 studies. Based on BMD susceptibility testing, colistin resistance was observed in 9% of all recovered Gram-negative isolates (95% CI: 6-14%) and was significantly higher among carbapenem-resistant isolates (31%, 95% CI: 25-38%), with p < 0.001. Multivariate meta-regression analysis further confirmed that colistin resistance was significantly higher in carbapenem-resistant isolates compared to the total recovered isolates (β = 9.8% points, p = 0.001). Additionally, colistin resistance has significantly increased over time, with a β = 1.8% points per year (p = 0.001). The use of the VITEK 2 system was associated with lower detected colistin resistance compared to BMD (β = -7.0, p = 0.02). Geographically, resistance rates were higher in Upper Egypt (β = 9.3, p = 0.04). Regarding mcr plasmid-mediated resistance, mcr-1 was the most prevalent resistance gene, particularly in E. coli. In contrast, mcr-2 was rare, detected sporadically in K. pneumoniae and P. aeruginosa.

conclusionIn Egypt, BMD testing identified colistin resistance in 9% of Gram-negative bacteria, increasing to 31% in carbapenem-resistant isolates. This higher resistance in carbapenem-resistant strains suggests stronger selective pressure from frequent colistin use. Additionally, colistin resistance has shown a rising trend over time, likely driven by increased usage and the spread of plasmid-mediated resistance. These findings underscore the urgent need for strict antimicrobial stewardship and alternative therapies to curb resistance evolution.

Indexed as

Anti-Bacterial AgentsColistinDrug Resistance, BacterialGram-Negative BacteriaGram-Negative Bacterial InfectionsCarbapenemsEgyptHumansMicrobial Sensitivity TestsPlasmidsPrevalenceAnti-Bacterial AgentsCarbapenemsColistinColistinEgyptGram-negative bacteriaMcrMeta-analysisResistance

Identifiers

PMID40349047
PMCPMC12065219

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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.