Evidence map›Paper›PMID 39137234›Full record

SynthesisPloS one2024

Antimicrobial resistance profile of Pseudomonas aeruginosa clinical isolates from healthcare-associated infections in Ethiopia: A systematic review and meta-analysis.

Zelalem Asmare, Melese Abate Reta, Yalewayker Gashaw, Ermias Getachew, Assefa Sisay, Muluken Gashaw, Ephrem Tamrat, Atitegeb Abera Kidie, Wagaw Abebe, Tadesse Misganaw and 11 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  15. DecodingFrontiers in cellular and infection microbiology · 2024
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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

21 authors.

Zelalem AsmareDepartment of Medical Laboratory Science, College of Health Sciences, Woldia University, Woldia, Ethiopia.ORCID 0009-0008-8076-0179
Melese Abate RetaDepartment of Medical Laboratory Science, College of Health Sciences, Woldia University, Woldia, Ethiopia.ORCID 0000-0003-1301-4746
Yalewayker GashawDepartment of Medical Laboratory Science, College of Health Sciences, Woldia University, Woldia, Ethiopia.
Ermias GetachewDepartment of Medical Laboratory Science, College of Health Sciences, Woldia University, Woldia, Ethiopia.
Assefa SisayDepartment of Medical Laboratory Science, College of Health Sciences, Woldia University, Woldia, Ethiopia.
Muluken GashawDepartment of Medical Laboratory Science, College of Health Sciences, Woldia University, Woldia, Ethiopia.
Ephrem TamratDepartment of Medical Laboratory Science, College of Health Sciences, Woldia University, Woldia, Ethiopia.
Atitegeb Abera KidieDepartment of Public Health, College of Health Sciences, Woldia University, Woldia, Ethiopia.
Wagaw AbebeDepartment of Medical Laboratory Science, College of Health Sciences, Woldia University, Woldia, Ethiopia.
Tadesse MisganawDepartment of Medical Laboratory Science, College of Health Sciences, Woldia University, Woldia, Ethiopia.ORCID 0000-0001-7994-3797
Agenagnew AshagreDepartment of Medical Laboratory Science, College of Health Sciences, Woldia University, Woldia, Ethiopia.
Zelalem DejazmachDepartment of Medical Laboratory Science, College of Health Sciences, Woldia University, Woldia, Ethiopia.
Getinet KumieDepartment of Medical Laboratory Science, College of Health Sciences, Woldia University, Woldia, Ethiopia.
Marye NigatieDepartment of Medical Laboratory Science, College of Health Sciences, Woldia University, Woldia, Ethiopia.
Sisay AyanaDepartment of Medical Laboratory Science, College of Health Sciences, Woldia University, Woldia, Ethiopia.
Abdu JemalDepartment of Medical Laboratory Science, College of Health Sciences, Woldia University, Woldia, Ethiopia.
Solomon GedfieDepartment of Medical Laboratory Science, College of Health Sciences, Woldia University, Woldia, Ethiopia.
Woldeteklehaymanot KassahunDepartment of Medical Laboratory Science, College of Health Sciences, Woldia University, Woldia, Ethiopia.
Mulat Awoke KassaDepartment of Nursing, College of Health Sciences, Woldia University, Woldia, Ethiopia.
Selamyhun TadesseDepartment of Medical Laboratory Science, College of Health Sciences, Woldia University, Woldia, Ethiopia.
Biruk Beletew AbateDepartment of Nursing, College of Health Sciences, Woldia University, Woldia, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntimicrobial-resistant (AMR) bacterial infection is a significant global threat to the healthcare systems. Pseudomonas aeruginosa, the leading infectious agent in the healthcare setting is now one of the major threats due to AMR. A comprehensive understanding of the magnitude of AMR, particularly highly public health important pathogens such as P. aeruginosa, is necessary for the management of infections based on local information.

objectiveThis systematic review and meta-analysis aimed to determine the country-wide AMR of P. aeruginosa.

methodsSystematic searches were performed to retrieve articles from PubMed, Scopus, Web of Science, ScienceDirect electronic databases, Google Scholar search engine, and repository registrars from 2015 to 31st December 2023. Twenty-three studies that provided important data on AMR in P. aeruginosa were systematically reviewed and analyzed to determine the country-wide magnitude of P. aeruginosa AMR profile from healthcare-associated infections. AMR of P. aeruginosa to 10 different antibiotics were extracted separately into Microsoft Excel and analyzed using STATA 17.0. Cohen's kappa was computed to determine the agreement between reviewers, the Inverse of variance (I2) was used to evaluate heterogeneity across studies, and Egger's test to identify publication bias. A random effect model was used to determine the pooled resistance to each antibiotic. Subgroup analysis was performed by infection type and year of publication.

resultsThis systematic review and meta-analysis revealed that the pooled prevalence of P. aeruginosa in clinical specimens associated with HAI was 4.38%(95%CI: 3.00-5.76). The pooled prevalence of AMR in P. aeruginosa for different antibiotics varies, ranging from 20.9% (95%CI: 6.2-35.8) for amikacin to 98.72% (95%CI: 96.39-101.4) for ceftriaxone. The pooled resistance was higher for ceftriaxone (98.72%), Trimethoprim-sulfamethoxazole (75.41), and amoxicillin-clavulanic acid (91.2). In contrast relatively lower AMR were observed for amikacin (20.9%) and meropenem (28.64%). The pooled multi-drug resistance (MDR) in P. aeruginosa was 80.5% (95%CI: 66.25-93.84). Upon subgroup analysis by infection types and year of publication, P. aeruginosa isolated from healthcare-associated infections exhibited higher resistance to ceftazidime (94.72%) compared to isolates from mixed types of healthcare-associated infections (70.84%) and surgical site infections (57.84%). Antimicrobial resistance in gentamicin was higher during the periods of 2018-2020 (73.96%), while comparatively lower during 2021-2023 (42.69%) and 2015-2017 (29.82%).

conclusionsSignificantly high AMR and MDR were observed from this systematic review and meta-analysis. AMR obtained from this systematic review and meta-analysis urges the need for improved infection control, antimicrobial stewardship practices, and strengthened surveillance systems to control the spread of AMR and ensure effective treatment of P. aeruginosa infections. PROTOCOL REGISTRATION: This systematic review and meta-analysis was registered on PROSPERO (Registration ID: CRD42024518145).

Indexed as

Anti-Bacterial AgentsCross InfectionPseudomonas aeruginosaPseudomonas InfectionsDrug Resistance, BacterialEthiopiaHumansMicrobial Sensitivity TestsAnti-Bacterial Agents

Identifiers

PMID39137234
PMCPMC11321567

What OpenQuestion holds

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LicenceCC BY
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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.