ArticleChina CDC weekly2022
Trans-Regional and Cross-Host Spread of
Article in China CDC weekly, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 9 citations in OpenAlex.
- Tracking Global Transmission Dynamics of the Plasmid-MediatedMicroorganisms · 2025Article
- Genomic diversity of mcr-carrying plasmids and the role of type IV secretion systems in IncI2 plasmids conjugation.Communications biology · 2025Article
- Challenges in the Detection of Polymyxin Resistance: From Today to the Future.Microorganisms · 2024Review
- New insights on mcr-1-harboring plasmids from human clinical Escherichia coli isolates.PloS one · 2024Article
- Resistome Study in Aquatic Environments.Journal of microbiology and biotechnology · 2023Review
- Oxford nanopore long-read sequencing enables the generation of complete bacterial and plasmid genomes without short-read sequencing.Frontiers in microbiology · 2023Article
- Performing Laboratory Network Surveillance to Monitor the Emergence and Spread of Infectious Diseases.China CDC weekly · 2022Article
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 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The surveillance of antimicrobial resistance genes (ARGs) and bacteria is one critical approach to prevent and control antimicrobial resistance (AMR). Next-generation sequencing (NGS) is a powerful tool in monitoring the emergence and spread of ARGs and resistant bacteria. The horizontal transfer of ARGs across host bacteria mediated by plasmids is a challenge in NGS surveillance for resistance because short-read sequencing can hardly generate the complete plasmid genome sequence, and the correlation between ARGs and plasmids are difficult to determine. Methods: The complete genome sequences of 455 Results: A total of 52 Inc types, including a variety of fusion plasmids containing 2 or more Inc types were identified in these pMCRs and carried by complex host bacteria. The cooccurrence of ARGs in pMCRs was generally observed, with an average of 3.9 ARGs per plasmid. Twenty-two clusters with consistent or highly similar sequences and gene compositions were identified by the pangenome clustering, which were characterized with distributions in different countries/regions, years or host bacteria in each cluster. Discussion: Based on the complete plasmid sequences, distribution of
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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.