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Cited by 250

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Review of Rapid Diagnostic Tests Used by Antimicrobial Stewardship Programs

Bauer, Karri A., Perez, Katherine K., Forrest, Graeme N., Goff, Debra A.·2014·Clinical Infectious Diseases

Abstract

Rapid microbiologic tests provide opportunities for antimicrobial stewardship programs to improve antimicrobial use and clinical and economic outcomes. Standard techniques for identification of organisms require at least 48-72 hours for final results, compared with rapid diagnostic tests that provide final organism identification within hours of growth. Importantly, rapid microbiologic tests are considered "game changers" and represent a significant advancement in the management of infectious diseases. This review focuses on currently available rapid diagnostic tests and, importantly, the impact of rapid testing in combination with antimicrobial stewardship on patient outcomes.

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Crossref · 10.1093/cid/ciu547

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Metadata

Authors
Bauer, K. A., Perez, K. K., Forrest, G. N., & Goff, D. A.
Venue
Clinical Infectious Diseases
Published
2014-10-15
Volume
59
Issue
suppl_3
Pages
S134-S145
ISSN
  • 1058-4838 (ISSN-L)
  • 1537-6591
OpenAlex
W1968932738
Cited by
250
References
5
FWCI
15.28
Type
journal article
Language
en
Open access
closed

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This page
CoChat. (2026). Citation check: Review of Rapid Diagnostic Tests Used by Antimicrobial Stewardship Programs. https://app.cochat.ai/papers/10.1093/cid/ciu547
The paper
Bauer, K. A., Perez, K. K., Forrest, G. N., & Goff, D. A. (2014). Review of Rapid Diagnostic Tests Used by Antimicrobial Stewardship Programs. Clinical Infectious Diseases. https://doi.org/10.1093/cid/ciu547

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.