The DOI matches its Crossref record; 130 of the 130 references it cites were found in a registry or an index.
Community-acquired pneumonia
Open accessAbstract
Summary Community-acquired pneumonia causes great mortality and morbidity and high costs worldwide. Empirical selection of antibiotic treatment is the cornerstone of management of patients with pneumonia. To reduce the misuse of antibiotics, antibiotic resistance, and side-effects, an empirical, effective, and individualised antibiotic treatment is needed. Follow-up after the start of antibiotic treatment is also important, and management should include early shifts to oral antibiotics, stewardship according to the microbiological results, and short-duration antibiotic treatment that accounts for the clinical stability criteria. New approaches for fast clinical (lung ultrasound) and microbiological (molecular biology) diagnoses are promising. Community-acquired pneumonia is associated with early and late mortality and increased rates of cardiovascular events. Studies are needed that focus on the long-term management of pneumonia.
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1 retracted
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Cited by
Human–machine partnership with artificial intelligence for chest radiograph diagnosis
Patel, B. N., Rosenberg, L., Willcox, G., Baltaxe, D., Lyons, M., Irvin, J., Rajpurkar, P., Amrhein, T., Gupta, R., Halabi, S., et al. (2019) · npj Digital Medicine · doi:10.1038/s41746-019-0189-7 · Cited by 254
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Metadata
- Authors
- Prina, E., Ranzani, O. T., & Torres, A.
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2015-09
- Volume
- 386
- Issue
- 9998
- Pages
- 1097-1108
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- OpenAlex
- W1769504474
- Cited by
- 516
- References
- 130
- FWCI
- 23.85
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Prina, E., Ranzani, O. T., & Torres, A. (2015). Community-acquired pneumonia. The Lancet. https://doi.org/10.1016/s0140-6736(15)60733-4
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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.
