ArticleChina CDC weekly2025
Prevalence of
Article in China CDC weekly, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Serotype Distribution and Antimicrobial Resistance ofAnnals of laboratory medicine · 2026Article
- Genomic epidemiology and antimicrobial resistance of non-typhoidal Salmonella from retail meats in Beijing, China: implications for foodborne transmission and phage susceptibility.JAC-antimicrobial resistance · 2026Article
- Antimicrobial resistance and genomic characteristics of nontyphoidal Salmonella strains from diarrheal patients in Shandong, China.Gut pathogens · 2026Article
- Epidemiological, Phenotypic, and Genomic Characterization ofMicroorganisms · 2026Article
- Genomic Epidemiology ofChina CDC weekly · 2026Article
- Integrated analysis of MALDI-TOF MS and whole-genome sequencing for subtypingFrontiers in microbiology · 2026Article
- Genomic and transcriptomic analyses reveal a Gifsy-1 prophage-encoded virulence module associated with enhanced epithelial adhesion ofFrontiers in cellular and infection microbiology · 2026Article
- ISFrontiers in cellular and infection microbiology · 2026Article
- Emergence ofFrontiers in microbiology · 2026Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Methods: All information, including geographical data, antimicrobial susceptibility test results, and whole-genome sequences, was extracted from the Chinese Pathogen Identification Network database from 2017 to 2023. Antimicrobial resistance phenotypes of 2,736 human-derived isolates were determined, and genomic analysis was applied to assess their genetic heterogeneity. Additionally, resistance genes were detected. Results: Conclusion:
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.