ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2025
Characterizing approaches used to display antimicrobial resistance data in veterinary and human medicine: a scoping review.
Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Antimicrobial resistance (AMR) is a complex One Health problem that requires continuous surveillance to minimize the potential hazards. Information must be disseminated promptly in easily understandable formats to support informed decisions and actions by data end-users. One way to address this is through real-time visualizations, such as dashboards, to help key interest-holders understand and monitor AMR. A scoping review was conducted to understand the current body of evidence surrounding real-time AMR visualizations in both veterinary and human health. Methods: Twelve sources were searched for relevant citations. 1763 citations were included in the screening process. Citations were screened for four main criteria: (i) the text had to be a primary research article in English (ii) published between 1990 and 2023, and (iii) it had to discuss the methodology of an AMR display (iv) that was updated at least quarterly. Results: Forty-two publications were identified as relevant. Publication information, information about the data used in the described displays, display information, and user information were charted. Publications were from 25 countries and utilized data from over 40 databases. Various bacterial genera and species were reported; the most common bacterial species were Conclusions: AMR data visualization has been implemented globally and is a critical component of continued AMR surveillance. Displays are often part of a larger surveillance system. A key challenge is designing a visualization for an intended audience and the information then being utilized by that audience.
Identifiers
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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.