ArticleThe Indian journal of medical research2017
New Delhi metallo-β-lactamase - type carbapenemases producing
Article in The Indian journal of medical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed, 21 citations in OpenAlex.
- An Engineered Prodrug Selectively Suppresses β-Lactam-Resistant Bacteria in a Mixed Microbial Setting.ACS infectious diseases · 2025Article
- Carbapenem resistance in gram-negative pathogens in an Iranian hospital: high prevalence of OXA-type carbapenemase genes.Clinical and experimental pediatrics · 2025Article
- Article
- Article
- Can a UV-C box help the cinema industry by disinfecting video cameras?Journal of preventive medicine and hygiene · 2023Article
- Ciprofloxacin, amoxicillin, and aminoglycosides stimulate genetic and phenotypic changes in uropathogenic Escherichia coli strains.Virulence · 2019Article
- Complete Genome Sequence of a Carbapenem-Resistant Escherichia coli Isolate withMicrobiology resource announcements · 2019Article
- Increasing Prevalence ofInternational journal of applied & basic medical researchArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND &
objectivesResistances to carbapenem group of antimicrobials among Escherichia coli due to production of carbapenemases, especially the New Delhi metallo-β-lactamase (NDM) types, pose serious challenges in the treatment of infections in healthcare settings. This study was undertaken to detect NDM producing E. coli isolates from hospitalized patients with urinary tract infection (UTI).
methodsA total of 30 non-repetitive isolates of E. coli from hospitalized patients with clinical suspicion of UTI were subjected to antimicrobial susceptibility testing. Screening for the production of extended-spectrum β-lactamases (ESBL) was carried out by minimum inhibitory concentration (MIC) test strip ESBL followed by phenotypic confirmation by double-disc synergy test. Phenotypic confirmation of carbapenemase production was carried out by MIC test strip metallo-β-lactamases. Molecular identification of the blaNDM gene was carried out by polymerase chain reaction (PCR) and sequencing of the amplified fragment.
resultsSeventeen of the 30 isolates were detected as ESBL producers, of which three were found to be carbapenemase producers. NDM genes were detected by PCR followed by gene sequencing in all three isolates positive for ESBL as well as carbapenemase. The amino acid sequence of the three isolates showed complete identity to the reference sequences of NDM-1, NDM-4 and NDM-8, respectively. INTERPRETATION &
conclusionsOur study showed the circulation of NDM variants among the clinical isolates of E. coli that were producers of ESBL as well as carbapenemase.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.