The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Antibiotic failure: Beyond antimicrobial resistance
Open accessAbstract
Despite significant progress in antibiotic discovery, millions of lives are lost annually to infections. Surprisingly, the failure of antimicrobial treatments to effectively eliminate pathogens frequently cannot be attributed to genetically-encoded antibiotic resistance. This review aims to shed light on the fundamental mechanisms contributing to clinical scenarios where antimicrobial therapies are ineffective (i.e., antibiotic failure), emphasizing critical factors impacting this under-recognized issue. Explored aspects include biofilm formation and sepsis, as well as the underlying microbiome. Therapeutic strategies beyond antibiotics, are examined to address the dimensions and resolution of antibiotic failure, actively contributing to this persistent but escalating crisis. We discuss the clinical relevance of antibiotic failure beyond resistance, limited availability of therapies, potential of new antibiotics to be ineffective, and the urgent need for novel anti-infectives or host-directed therapies directly addressing antibiotic failure. Particularly noteworthy is multidrug adaptive resistance in biofilms that represent 65 % of infections, due to the lack of approved therapies. Sepsis, responsible for 19.7 % of all deaths (as well as severe COVID-19 deaths), is a further manifestation of this issue, since antibiotics are the primary frontline therapy, and yet 23 % of patients succumb to this condition.
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 third international consensus definitions for sepsis and septic shock (Sepsis-3).
Singer, M., Deutschman, C. S., Seymour, C. W., Shankar-Hari, M., Annane, D., Bauer, M., Bellomo, R., Bernard, G. R., Chiche, J.-D., Coopersmith, C. M., et al. (2016) · JAMA · doi:10.1001/jama.2016.0287 · Cited by 28,250
Kumar, A., Roberts, D., Wood, K. E., Light, B., Parrillo, J. E., Sharma, S., Suppes, R., Feinstein, D., Zanotti, S., Taiberg, L., et al. (2006) · Critical Care Medicine · doi:10.1097/01.ccm.0000217961.75225.e9 · Cited by 6,109
Antimicrobial Resistance: Implications and Costs
Dadgostar, P. (2019) · Infection and Drug Resistance · doi:10.2147/idr.s234610 · Cited by 2,024
Theriot, C. M., Koenigsknecht, M. J., Carlson, P. E., Hatton, G. E., Nelson, A. M., Li, B., Huffnagle, G. B., Z. Li, J., & Young, V. B. (2014) · Nature Communications · doi:10.1038/ncomms4114 · Cited by 974
Characteristics and outcomes of culture-negative versus culture-positive severe sepsis.
Phua, J., Ngerng, W. J., See, K. C., Tay, C. K., Kiong, T., Lim, H. F., Chew, M. Y., Yip, H. S., Tan, A., Khalizah, H. J., et al. (2013) · Critical Care · doi:10.1186/cc12896 · Cited by 382
Patisiran, an RNAi Therapeutic for the Treatment of Hereditary Transthyretin-Mediated Amyloidosis
Kristen, A. V., Ajroud-Driss, S., Conceição, I., Gorevic, P., Kyriakides, T., & Obici, L. (2019) · Neurodegenerative Disease Management · doi:10.2217/nmt-2018-0033 · Cited by 268
Tegegne, B. A., & Kebede, B. (2022) · Heliyon · doi:10.1016/j.heliyon.2022.e09725 · Cited by 232
Phages and their potential to modulate the microbiome and immunity
Federici, S., Nobs, S. P., & Elinav, E. (2021) · Cellular & Molecular Immunology · doi:10.1038/s41423-020-00532-4 · Cited by 222
Improving sepsis treatment by embracing diagnostic uncertainty.
Prescott, H. C., & Iwashyna, T. J. (2019) · Annals of the American Thoracic Society · doi:10.1513/annalsats.201809-646ps · Cited by 110
Cited by
Peterle, V. M., Cardoso, J. A. B., Ferraz, C. M., Sousa, D. F. D., Pereira, N., Nassar, A. F. D. C., Castro, V., Mathias, L. A., Cardozo, M. V., & Rossi, G. A. M. (2024) · Microorganisms · doi:10.3390/microorganisms12091883
Metadata
- Authors
- de la Fuente-Nunez, C., Cesaro, A., & Hancock, R. E. W.
- Venue
- Drug Resistance Updates
- Publisher
- Elsevier BV
- Published
- 2023-11
- Volume
- 71
- Pages
- 101012
- ISSN
- 1368-7646 (ISSN-L)
- OpenAlex
- W4387731505
- Cited by
- 254
- References
- 9
- FWCI
- 35.22
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Antibiotic failure: Beyond antimicrobial resistance. https://app.cochat.ai/papers/10.1016/j.drup.2023.101012
- The paper
- de la Fuente-Nunez, C., Cesaro, A., & Hancock, R. E. W. (2023). Antibiotic failure: Beyond antimicrobial resistance. Drug Resistance Updates. https://doi.org/10.1016/j.drup.2023.101012
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.