The DOI matches its Crossref record.
Challenges and innovations in treating chronic and acute wound infections: from basic science to clinical practice
Open accessAbstract
Acute and chronic wound infection has become a major worldwide healthcare burden leading to significantly high morbidity and mortality. The underlying mechanism of infections has been widely investigated by scientist, while standard wound management is routinely been used in general practice. However, strategies for the diagnosis and treatment of wound infections remain a great challenge due to the occurrence of biofilm colonization, delayed healing and drug resistance. In the present review, we summarize the common microorganisms found in acute and chronic wound infections and discuss the challenges from the aspects of clinical diagnosis, non-surgical methods and surgical methods. Moreover, we highlight emerging innovations in the development of antimicrobial peptides, phages, controlled drug delivery, wound dressing materials and herbal medicine, and find that sensitive diagnostics, combined treatment and skin microbiome regulation could be future directions in the treatment of wound infection.
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
Cited by
Teymouri, S., Yousefi, M. H., Heidari, S., Farokhi, S., Afkhami, H., & Kashfi, M. (2025) · Molecular Biology Reports · doi:10.1007/s11033-024-10163-x · Cited by 11
Metadata
- Authors
- Ding, X., Tang, Q., Xu, Z., Xu, Y., Zhang, H., Zheng, D., Wang, S., Tan, Q., Maitz, J., Maitz, P. K., Yin, S., Wang, Y., & Chen, J.
- Venue
- Burns & Trauma
- Publisher
- Oxford University Press (OUP)
- Published
- 2022-01-01
- Volume
- 10
- Pages
- tkac014-tkac014
- ISSN
- 2321-3868 (ISSN-L)
- 2321-3876
- OpenAlex
- W4214834626
- Cited by
- 277
- References
- 0
- FWCI
- 17.21
- Type
- journal article
- Language
- en
- Open access
- gold
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: Challenges and innovations in treating chronic and acute wound infections: from basic science to clinical practice. https://app.cochat.ai/papers/10.1093/burnst/tkac014
- The paper
- Ding, X., Tang, Q., Xu, Z., Xu, Y., Zhang, H., Zheng, D., Wang, S., Tan, Q., Maitz, J., Maitz, P. K., Yin, S., Wang, Y., & Chen, J. (2022). Challenges and innovations in treating chronic and acute wound infections: from basic science to clinical practice. Burns & Trauma. https://doi.org/10.1093/burnst/tkac014
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.