ArticleFrontiers in microbiology2026
Prevalence and antimicrobial resistance of
Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- A review of bloodstream infections-pathogens, pathogenesis, diagnostic strategies, treatment methods-challenges and future aspects.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Review
- Article
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
Background: Multidrug-resistant (MDR) Methods: In this single-center retrospective observational study, 3,540 non-duplicate clinical isolates collected between 2019 and 2025 were analyzed. Bacterial identification and antimicrobial susceptibility testing were performed using the Vitek 2 Compact automated system and the Kirby-Bauer disc diffusion method, with results interpreted in accordance with Clinical and Laboratory Standards Institute (CLSI) performance standards. Receiver operating characteristic (ROC) curve analysis was used to evaluate the discriminatory performance of the commonly used antibiotics, with the results expressed as the area under curve (AUC). Results: MDR Conclusion: MDR
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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.