Evidence map›Paper›PMID 35096667›Full record

ArticleGerms2021

Prevalence of antimicrobial resistance in Gram-negative clinical isolates from a major secondary hospital in Kuwait: a retrospective descriptive study.

Walid Q Alali, Wadha AlFouzan, Rita Dhar

Open access · greenAbstract read
In one paragraph

Article in Germs, 2021. 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
1.0field-weighted citation impact, top 22% of its field
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, 17 citations in OpenAlex.

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  5. Antibiotics Resistance Profile of Clinical Isolates ofAntibiotics (Basel, Switzerland) · 2025
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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

3 authors at 2 institutions in 1 country.

Walid Q AlaliDVM, PhD, Department of Epidemiology & Biostatistics, Faculty of Public Health, Kuwait University, Hawalli, postal code 13060, Kuwait.
Wadha AlFouzanMD, PhD, Microbiology Unit, Department of Laboratories, Farwaniya Hospital, Farwaniya, postal code 85000, Kuwait, Department of Microbiology, Faculty of Medicine, Kuwait University, Jabriya, postal code 85000, Kuwait.
Rita DharMD, PhD, Microbiology Unit, Department of Laboratories, Farwaniya Hospital, Farwaniya, postal code 85000, Kuwait.
Farwaniya Hospital · KWKuwait University · KW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBuilding an antimicrobial resistance (AMR) surveillance system in a country requires analysis of available data on AMR in clinical isolates. This study's objective was to determine the AMR prevalence of Gram-negative bacterial (GNB) isolates cultured from clinical specimens at a major general hospital in Kuwait.

methodsA retrospective descriptive study was conducted on AMR profiles of GNB clinical isolates (n=5290) between January and December 2018. Data were extracted from the laboratory information system in the hospital. The GNB organisms (i.e.,

resultsOverall, high AMR prevalence (>50%) against ampicillin, cefuroxime, cefotaxime, ceftazidime, ciprofloxacin, and trimethoprim/sulfamethoxazole, were observed across the GNB organisms. However, low resistance prevalence (<10%) were observed against amikacin, ertapenem, meropenem, and piperacillin/tazobactam. In general, AMR prevalence in

conclusionsOur findings demonstrate high AMR prevalence among common Gram-negative bacteria at this major hospital. Monitoring data on antimicrobial susceptibility of common bacterial organisms is critical for assessing trends in AMR at hospitals and for informing policy decisions.

Indexed as

Bacterial resistancecritical carehospital-acquired infectionsMiddle Eastmultidrug resistancepublic health

Identifiers

PMID35096667
PMCPMC8789362
OpenAlexW4206682549

What OpenQuestion holds

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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.