This paper is marked retracted in the scholarly record (OpenAlex). Interpret its findings with caution.
RETRACTION: Risk Predictions of Surgical Wound Complications Based on a Machine Learning Algorithm: A Systematic Review

TL;DR
This paper was retracted due to a compromised peer review process, despite the authors disagreeing with the decision.
Contribution
The paper itself does not present new findings, but its retraction highlights issues in peer review integrity.
Findings
The paper was retracted due to a compromised peer review process.
The authors disagree with the retraction decision.
Abstract
RETRACTION: ZhangH. , ZhaoJ. , FarzanR. , and OtaghvarH. A. , “Risk Predictions of Surgical Wound Complications Based on a Machine Learning Algorithm: A Systematic Review,” International Wound Journal 21, no. 1 (2024): e14665, 10.1111/iwj.14665.38272811 PMC10805538 The above article, published online on 23 January 2024, in Wiley Online Library (http://onlinelibrary.wiley.com/), has been retracted by agreement between the journal Editor in Chief, Professor Keith Harding; and John Wiley & Sons Ltd. A third party reported to the journal that they had found evidence of excessive self‐citations in the reference list of this article. The publisher did not confirm the evidence of excessive self‐citations. Upon further investigation, the publisher also concluded that this article was accepted solely on the basis of a compromised peer review process. In view of the clear evidence of…
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Taxonomy
TopicsPressure Ulcer Prevention and Management · Clinical practice guidelines implementation · COVID-19 and healthcare impacts
