ArticleJournal of clinical microbiology2025
Evaluation of expert rules for carbapenemase class identification in
Article in Journal of clinical microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Evaluation of new expert rules for the detection and differentiation of carbapenemase-producing Enterobacterales within the French epidemiological context.Journal of clinical 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
Abstract
Prompt identification of enzyme class in carbapenemase-producing carbapenem-resistant IMPORTANCE: Carbapenem-resistant bacteria are a major public health concern due to their ability to spread in healthcare settings and cause infections that are difficult to treat with first-line antibiotics. Identification of the enzyme classes responsible for carbapenem resistance plays a crucial role in ensuring that patients receive effective treatments and controlling the spread of these bacteria. In this study, we evaluated the performance of a new approach to identify carbapenemase enzymes without additional hands-on testing. The method is designed for use with the VITEK2 automated susceptibility testing platform to recognize patterns of resistance to antibiotics and make predictions about the possible resistance mechanisms.
Indexed as
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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.