ArticleInfection and drug resistance2022
The Genomic Characterization of KPC-Producing
Article in Infection and drug resistance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03950544 (How to Optimize the Combined Antibiotic Therapy for Carbapenem Resistant Klebsiella Pneumoniae), which is not on this map. Cited by 1 paper.
What it found
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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.
How to Optimize the Combined Antibiotic Therapy for Carbapenem Resistant Klebsiella Pneumoniae
Who cites it
1 citing paper in PubMed, 4 citations in OpenAlex.
- Virulence Characteristics and Molecular Typing of Carbapenem-Resistant ST15Antibiotics (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study retrospectively analyzed the genome characteristics of
methodsFrom February 2018 to December 2019, 36 strains of multidrug-resistant
resultsThe distribution of resistance and virulence genes had little difference, but most strains had significant differences in the plasmid-encoded region. Most strains (31/36) carried the carbapenemase gene
conclusionThe CLINICAL TRIALS REGISTRATION: Clinical Trials.gov Identifier: NCT03950544.
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.