ArticleAdvanced biomedical research2019
Molecular Characterization of
Article in Advanced biomedical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 27 citations in OpenAlex.
- In Vitro Antibacterial Efficacy of Recombinant Phage-Derived Endolysin LysTAC1 Against Carbapenem-ResistantAntibiotics (Basel, Switzerland) · 2025Article
- Article
- Antibiotic resistance in the Middle East and Southern Asia: a systematic review and meta-analysis.JAC-antimicrobial resistance · 2025Review
- Evaluation of the relatedness between the biofilm-associated genes and antimicrobial resistance amongIranian journal of microbiology · 2025Article
- Development of a Multiplex PCR Assay for the Detection of Extended-Spectrum Beta-Lactamase Genes inIndian journal of microbiology · 2024Article
- Molecular epidemiology and molecular typing methods ofSaudi medical journal · 2024Review
- Characterization of genes involved in the iron acquisition system of multidrug-resistant Acinetobacter baumannii.GMS hygiene and infection control · 2024Article
- Designing a Multiplex PCR for Rapid and Accurate Detection of Metallobetalactamases Resistant Genes fromIranian journal of pathology · 2023Article
- Molecular Characterization and Antibiogram ofHealthcare (Basel, Switzerland) · 2022Article
- Advances in the Sensing and Treatment of Wound Biofilms.Angewandte Chemie (International ed. in English) · 2022Review
- Advances in the Sensing and Treatment of Wound Biofilms.Angewandte Chemie (Weinheim an der Bergstrasse, Germany) · 2022Review
- Convergence of Biofilm Formation and Antibiotic Resistance inFrontiers in medicine · 2022Review
- Identification and detection of pathogenic bacteria from patients with hospital-acquired pneumonia in southwestern Iran; evaluation of biofilm production and molecular typing of bacterial isolates.BMC pulmonary medicine · 2021Article
- Gram-Negative Bacteria Holding Together in a Biofilm: TheMicroorganisms · 2021Review
- Antibiogram, Prevalence of OXA Carbapenemase Encoding Genes, and RAPD-Genotyping of Multidrug-ResistantAntibiotics (Basel, Switzerland) · 2020Article
- Biofilm-Formation in Clonally Unrelated Multidrug-ResistantPathogens (Basel, Switzerland) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMultidrug-resistant MATERIALS AND
methodsIn this study, 79 isolates of
resultsAll of bacteria were extensively drug-resistant (XDR) except for two isolates. The results of tube test indicated that only 36% of XDR strains were in weak rate of biofilm formation group. Two major clonal genetic groups were found in VAP and burn strains. Oxa-23 was the most prevalent carbapenemase in collected
conclusionThe presence of XDR strains of
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.