The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Epidemiology of Infections Due to Pseudomonas aeruginosa
Abstract
Pseudomonas aeruginosa is responsible for an increasing proportion of infections acquired in the modern hospital setting. It accounts for 8.5% of all nosocomial infections and has an attack rate of 36 infections per 10,000 hospital discharges. P. aeruginosa represents the single most frequently isolated pathogen in patients with nosocomial pneumonia and burn-wound infections. The organism's bioepidemiology is linked to its ability to thrive in marginal econiches, and its ascendency as a nosocomial pathogen parallels the evolution of high-technology intensive care units, the large numbers of immunocompromised patients, and the liberal use of antibiotics. The reservoirs and modes of transmission for this organism are reviewed along with recent studies aimed at the prevention of both colonization and infection by this organism.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Changing Pharyngeal Bacterial Flora of Hospitalized Patients: Emergence of Gram-Negative Bacilli
Johanson, W. G., Pierce, A. K., & Sanford, J. P. (1969) · New England Journal of Medicine · doi:10.1056/nejm196911202812101 · Cited by 910
Cited by
Paterson, D. L. (2006) · Clinical Infectious Diseases · doi:10.1086/504476 · Cited by 344
Lindstedt, B. (2005) · ELECTROPHORESIS · doi:10.1002/elps.200500096 · Cited by 329
Smith, R. S., Fedyk, E. R., Springer, T. A., Mukaida, N., Iglewski, B. H., & Phipps, R. P. (2001) · The Journal of Immunology · doi:10.4049/jimmunol.167.1.366 · Cited by 273
Metadata
- Authors
- Morrison, A. J., & Wenzel, R. P.
- Venue
- Clinical Infectious Diseases
- Publisher
- Oxford University Press (OUP)
- Published
- 1984-09-01
- Volume
- 6
- Issue
- Supplement_3
- Pages
- S627-S642
- ISSN
- 1058-4838 (ISSN-L)
- 1537-6591
- OpenAlex
- W2016711973
- Cited by
- 291
- References
- 1
- FWCI
- 5.54
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Epidemiology of Infections Due to Pseudomonas aeruginosa. https://app.cochat.ai/papers/10.1093/clinids/6.supplement_3.s627
- The paper
- Morrison, A. J., & Wenzel, R. P. (1984). Epidemiology of Infections Due to Pseudomonas aeruginosa. Clinical Infectious Diseases. https://doi.org/10.1093/clinids/6.supplement_3.s627
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.
