The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Clinically Feasible Biofilm Susceptibility Assay for Isolates of Pseudomonas aeruginosa from Patients with Cystic Fibrosis
Open accessAbstract
Pseudomonas aeruginosa is the predominant cause of chronic airway infection in cystic fibrosis (CF). CF airway isolates are often tested for antibiotic susceptibility but are rarely eradicated by the antibiotics identified as potentially effective. The growth state of P. aeruginosa in CF airways is probably different from that exhibited under conventional susceptibility testing conditions and may represent a bacterial biofilm. Biofilm susceptibility testing methods were adapted to create an assay for implementation in a clinical microbiology laboratory. This assay gave reproducible results when examined in 300 paired determinations with 12 antimicrobial agents, with a serious error rate of 5.7%. The biofilm assay was used retrospectively to test these 12 agents against 94 isolates from 41 CF patients. The biofilm inhibitory concentrations (BICs) were much higher than the corresponding conventionally determined MICs for the β-lactam antibiotics (median values: aztreonam, >128 μg/ml versus 4 μg/ml; ceftazidime, 128 μg/ml versus 2 μg/ml; piperacillin-tazobactam, 256 μg/ml versus 4 μg/ml; and ticarcillin-clavulanate, 512 μg/ml versus 16 μg/ml, respectively) and doxycycline (>64 μg/ml versus 16 μg/ml); and similar for meropenem (4 μg/ml versus ≤ 1 μg/ml), ciprofloxacin (0.5 μg/ml versus 1 μg/ml), and the aminoglycosides amikacin (32 μg/ml versus 16 μg/ml), gentamicin (16 μg/ml versus 8 μg/ml), and tobramycin (4 μg/ml versus 2 μg/ml). The median BIC for azithromycin was 2 μg/ml, whereas isolates were uniformly resistant when tested by standard methods. This demonstrates the feasibility of adapting biofilm susceptibility methods to the clinical microbiology laboratory and opens the way to examining whether biofilm testing might be used to select more effective antibiotic combinations for CF airway infections than methods in current use.
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
Pseudomonas biofilm formation and antibiotic resistance are linked to phenotypic variation
Drenkard, E., & Ausubel, F. M. (2002) · Nature · doi:10.1038/416740a · Cited by 997
Saiman, L., Marshall, B. C., Mayer-Hamblett, N., Burns, J. L., Quittner, A. L., Cibene, D. A., Coquillette, S., Fieberg, A. Y., Accurso, F. J., Campbell III, P. W., et al. (2003) · JAMA · doi:10.1001/jama.290.13.1749 · Cited by 958
Self-citation
Cited by
Antibiotic resistance of bacterial biofilms
Høiby, N., Bjarnsholt, T., Givskov, M., Molin, S., & Ciofu, O. (2010) · International Journal of Antimicrobial Agents · doi:10.1016/j.ijantimicag.2009.12.011 · Cited by 3,225
Strategies for combating bacterial biofilm infections
Wu, H., Moser, C., Wang, H.-Z., Høiby, N., & Song, Z.-J. (2015) · International Journal of Oral Science · doi:10.1038/ijos.2014.65 · Cited by 925
Combination Therapy for Treatment of Infections with Gram-Negative Bacteria
Tamma, P. D., Cosgrove, S. E., & Maragakis, L. L. (2012) · Clinical Microbiology Reviews · doi:10.1128/cmr.05041-11 · Cited by 836
ESCMID∗ guideline for the diagnosis and treatment of biofilm infections 2014
Høiby, N., Bjarnsholt, T., Moser, C., Bassi, G. L., Coenye, T., Donelli, G., Hall-Stoodley, L., Holá, V., Imbert, C., Kirketerp-Møller, K., et al. (2015) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2014.10.024 · Cited by 726
Ciofu, O., & Tolker-Nielsen, T. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.00913 · Cited by 720
Metadata
- Authors
- Moskowitz, S. M., Foster, J. M., Emerson, J., & Burns, J. L.
- Venue
- Journal of Clinical Microbiology
- Publisher
- American Society for Microbiology
- Published
- 2004-05
- Volume
- 42
- Issue
- 5
- Pages
- 1915-1922
- ISSN
- 0095-1137 (ISSN-L)
- 1098-660X
- OpenAlex
- W2152761448
- Cited by
- 397
- References
- 2
- FWCI
- 3.94
- Type
- journal article
- Language
- en
- Open access
- green
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: Clinically Feasible Biofilm Susceptibility Assay for Isolates of Pseudomonas aeruginosa from Patients with Cystic Fibrosis. https://app.cochat.ai/papers/10.1128/jcm.42.5.1915-1922.2004
- The paper
- Moskowitz, S. M., Foster, J. M., Emerson, J., & Burns, J. L. (2004). Clinically Feasible Biofilm Susceptibility Assay for Isolates of Pseudomonas aeruginosa from Patients with Cystic Fibrosis. Journal of Clinical Microbiology. https://doi.org/10.1128/jcm.42.5.1915-1922.2004
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.