Evidence map›Paper›PMID 39923059›Full record

ArticleAnnals of clinical microbiology and antimicrobials2025

Exploring New Delhi Metallo Beta Lactamases in Klebsiella pneumoniae and Escherichia coli: genotypic vs. phenotypic insights.

Noor Ul Ain, Linzy Elton, Zahra Sadouki, Timothy D McHugh, Saba Riaz

Abstract read
In one paragraph

Article 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Noor Ul AinInstitute of Microbiology and Molecular Genetics, University of the Punjab, Lahore, 54590, Pakistan.
Linzy EltonCentre for Clinical Microbiology, University College London, London, UK.
Zahra SadoukiCentre for Clinical Microbiology, University College London, London, UK.
Timothy D McHughCentre for Clinical Microbiology, University College London, London, UK.
Saba RiazInstitute of Microbiology and Molecular Genetics, University of the Punjab, Lahore, 54590, Pakistan. Saba.mmg@pu.edu.pk.

Funding

Commonwealth Scholarship Commission PKCN-2021-4
6 · The paper itself

Abstract

backgroundCarbapenemase-producing Enterobacterales pose a serious clinical threat, particularly in high-burden settings of carbapenem-resistant Escherichia coli and Klebsiella pneumoniae (CREK), where rapid detection tools are essential to aid patient management. In this study, we focused on bla

methodOne hundred seventy-seven extensively drug-resistant strains were characterized using MALDI-TOF. Isolates were analyzed to detect Carbapenem-resistant Escherichia coli and Klebsiella pneumoniae (CREK) using disk diffusion, MIC test, and PCR targeting bla

resultMost of the XDR strains (90%) were CREK, with K. pneumoniae (71.2%) more prevalent than E. coli (28.7%) (p < 0.05). All CREK strains exhibited complete resistance (100%) to multiple antibiotics with 66% showing sensitivity to levofloxacin. Furthermore, K. pneumoniae (57.8%) had higher bla

conclusionThis study demonstrates the value of the RESIST-5 O.K.N.V.I. lateral flow assay as a rapid and reliable diagnostic tool for detecting bla

Indexed as

beta-LactamasesEscherichia coliKlebsiella pneumoniaeAnti-Bacterial AgentsBacterial ProteinsCarbapenemsDrug Resistance, Multiple, BacterialEscherichia coli InfectionsGenotypeHumansKlebsiella InfectionsMicrobial Sensitivity TestsPhenotypeAnti-Bacterial AgentsBacterial Proteinsbeta-lactamase NDM-1beta-LactamasesCarbapenemsAntimicrobial resistanceCarbapenemases extensive drug resistanceCarbapenem resistanceGenotypicLateral flow assayPhenotypic resistance

Identifiers

PMID39923059
PMCPMC11806598

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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.