ArticleInfection and drug resistance2018
Interaction between
Article in Infection and drug resistance, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 26 citations in OpenAlex.
- Antimicrobial Resistance in the Aconcagua River, Chile: Prevalence and Characterization of Resistant Bacteria in a Watershed Under High Anthropogenic Contamination Pressure.Antibiotics (Basel, Switzerland) · 2025Article
- Genetic diversity and transmission pattern of multidrug-resistant tuberculosis based on whole-genome sequencing in Wuhan, China.Frontiers in public health · 2025Article
- Mycobacterium smegmatis NucS-promoted DNA mismatch repair involves limited resection by a 5'-3' exonuclease and is independent of homologous recombination and NHEJ.Nucleic acids research · 2024Article
- Dual genetic level modification engineering accelerate genome evolution of Corynebacterium glutamicum.Nucleic acids research · 2024Article
- The recent rapid expansion of multidrug resistant Ural lineage Mycobacterium tuberculosis in Moldova.Nature communications · 2024Article
- Collateral sensitivity profiling in drug-resistant Escherichia coli identifies natural products suppressing cephalosporin resistance.Nature communications · 2023Article
- Article
- c-di-AMP signaling plays important role in determining antibiotic tolerance phenotypes of Mycobacterium smegmatis.Scientific reports · 2022Article
- The evolving biology ofFrontiers in cellular and infection microbiology · 2022Review
- Review
- A Recombinase Polymerase Amplification-Coupled Cas12a Mutant-Based Module for Efficient Detection of Streptomycin-Resistant Mutations inFrontiers in microbiology · 2021Article
- Heterogeneous Streptomycin Resistance Level AmongFrontiers in microbiology · 2021Article
- Phenotypic and genotypic characterization of levofloxacin- and moxifloxacin-resistantJournal of thoracic disease · 2019Article
- Tuberculosis drug resistance profiling based on machine learning: A literature review.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious DiseasesReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe interaction between different drug-resistant mutations is important to the development of drug resistance and its evolution. In this study, we aimed to reveal the potential relationships between mutations conferring resistance to two important antituberculosis drugs streptomycin (STR) and fluoroquinolones (FLQ). MATERIALS AND
methodsWe used an in vitro competitive fitness assay to reveal the interactions between different mutations of
resultsThe strains with K43R and K88R mutation in
conclusionOur results suggest that the interaction between
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.