Evidence map›Paper›PMID 41010286›Full record

ReviewLife (Basel, Switzerland)2025

A 15-Year One Health Approach to Antimicrobial Resistance in Kuwait from Hospitals to Environmental Contexts: A Systematic Review.

Ahmad Al-Dhumair, Mohammad Al-Hasan, Hanan Al-Khalaifah, Qadriya Al-Mutawa

Abstract readReview
In one paragraph

Review in Life (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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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

4 authors.

Ahmad Al-DhumairFood Security Program, Kuwait Institute for Scientific Research, Safat, Kuwait City 13109, Kuwait.ORCID 0000-0001-8905-8476
Mohammad Al-HasanFood Security Program, Kuwait Institute for Scientific Research, Safat, Kuwait City 13109, Kuwait.ORCID 0000-0002-4756-7245
Hanan Al-KhalaifahFood Security Program, Kuwait Institute for Scientific Research, Safat, Kuwait City 13109, Kuwait.ORCID 0000-0002-1696-562X
Qadriya Al-MutawaFood Security Program, Kuwait Institute for Scientific Research, Safat, Kuwait City 13109, Kuwait.ORCID 0000-0002-2881-0553

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kuwait has reported a problematic increase in the prevalence of Antimicrobial Resistance (AMR). However, the absence of studies that analyze AMR from combined human, agricultural (animal), and environmental domains limits our ability to assess the extent of the problem in Kuwait. Therefore, this systematic review provides a comprehensive insight into the AMR status in Kuwait regarding humans, agriculture (animals), and the environment from the perspective of the One Health approach. A systematic search was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to identify the relevant literature on AMR in Kuwait. Multiple online electronic databases, including the Cochrane Library, Google Scholar, Web of Science, PubMed, BioMed Central (BMC), and Scopus, were searched to perform a narrative synthesis and meta-analysis. Twenty-eight studies published between 2009 and 2024 were included in this study. Domain-wise distribution varied, with 11 studies related to clinical settings, 11 to the environment, 4 to agricultural (animal), and 2 to both clinical and community settings. The narrative synthesis indicated a high occurrence of AMR bacteria in human, agriculture (animal), and environmental domains. In human domains, the dominant AMR isolates belonged to four Gram-negative species:

Indexed as

animalsantimicrobial resistanceenvironmenthumansKuwaitOne Health

Identifiers

PMID41010286
PMCPMC12470776

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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.