The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.
Update on detection of bacteremia and fungemia
Open accessAbstract
The presence of microorganisms in a patient's blood is a critical determinant of the severity of the patient's illness. Equally important, the laboratory isolation and identification of a microorganism present in blood determine the etiologic agent of infection, especially when the site of infection is localized and difficult to access. This review addresses the pathophysiology and clinical characteristics of bacteremia, fungemia, and sepsis; diagnostic strategies and critical factors in the detection of positive blood cultures; characteristics of manual and instrument approaches to bacteremia detection; approaches for isolating specific microorganisms associated with positive blood cultures; and rapid methods for the identification of microorganisms in blood cultures.
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Cites
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Cited by
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Bloodstream infections – Standard and progress in pathogen diagnostics
Lamy, B., Sundqvist, M., & Idelevich, E. A. (2020) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2019.11.017 · Cited by 250
Contemporary tools for the diagnosis and management of invasive mycoses
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Metadata
- Authors
- Reimer, L. G., Wilson, M. L., & Weinstein, M. P.
- Venue
- Clinical Microbiology Reviews
- Publisher
- American Society for Microbiology
- Published
- 1997-07
- Volume
- 10
- Issue
- 3
- Pages
- 444-465
- ISSN
- 0893-8512 (ISSN-L)
- 1098-6618
- OpenAlex
- W2152918576
- Cited by
- 482
- References
- 62
- FWCI
- 7.44
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Reimer, L. G., Wilson, M. L., & Weinstein, M. P. (1997). Update on detection of bacteremia and fungemia. Clinical Microbiology Reviews. https://doi.org/10.1128/cmr.10.3.444
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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.
