The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Gram-positive resistance: challenge for the development of new antibiotics
Abstract
The incidence of infections caused by multidrug-resistant Gram-positive organisms is increasing despite advances in antibacterial therapy over the last 20 years. As the pathogens causing these infections are frequently resistant to most currently available antibacterials, they are extremely difficult to treat. Problematic pathogens include strains of Streptococcus pneumoniae resistant to beta-lactams and macrolides, viridans group streptococci resistant to beta-lactams and aminoglycosides, enterococci resistant to vancomycin and teicoplanin and highly resistant to penicillins and aminoglycosides, and Staphylococcus aureus resistant to methicillin, other beta-lactams, macrolides, lincosamides and aminoglycosides. Other important pathogens include Streptococcus pyogenes resistant to macrolides (and suspected to be resistant to penicillin), macrolide-resistant streptococci of groups B, C, and G, coagulase-negative staphylococci resistant to beta-lactams, aminoglycosides, macrolides, lincosamides and glycopeptides, multiresistant strains of Listeria and Corynebacterium and Gram-positive anaerobes, such as Peptostreptococcus and Clostridium, resistant to penicillins and macrolides. Thus, there is an urgent need for new antibacterial agents that are able to overcome multidrug-resistant mechanisms. The novel semisynthetic injectable streptogramin quinupristin/dalfopristin offers the prospect of effective treatment against many of the above pathogens.
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
The crisis in antibiotic resistance
Neu, H. C. (1992) · Science · doi:10.1126/science.257.5073.1064 · Cited by 2,834
Cited by
Search for antibacterial and antifungal agents from selected Indian medicinal plants
Kumar, V. P., Chauhan, N. S., Padh, H., & Rajani, M. (2006) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2006.03.013 · Cited by 494
Kim, Y.-K., Pai, H., Lee, H.-J., Park, S.-E., Choi, E.-H., Kim, J., Kim, J.-H., & Kim, E.-C. (2002) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.46.5.1481-1491.2002 · Cited by 357
Streptogramin-based gene regulation systems for mammalian cells
Fussenegger, M., Morris, R. P., Fux, C., Rimann, M., von Stockar, B., Thompson, C. J., & Bailey, J. E. (2000) · Nature Biotechnology · doi:10.1038/81208 · Cited by 349
Metadata
- Authors
- Baquero, F.
- Venue
- Journal of Antimicrobial Chemotherapy
- Publisher
- Oxford University Press (OUP)
- Published
- 1997-05-01
- Volume
- 39
- Issue
- suppl 1
- Pages
- 1-6
- ISSN
- 0305-7453 (ISSN-L)
- 1460-2091
- OpenAlex
- W2104312420
- Cited by
- 195
- References
- 1
- FWCI
- 11.38
- 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: Gram-positive resistance: challenge for the development of new antibiotics. https://app.cochat.ai/papers/10.1093/jac/39.suppl_1.1
- The paper
- Baquero, F. (1997). Gram-positive resistance: challenge for the development of new antibiotics. Journal of Antimicrobial Chemotherapy. https://doi.org/10.1093/jac/39.suppl_1.1
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.