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CORRECTION article

Front. Surg. , 14 March 2025

Sec. Orthopedic Surgery

Volume 12 - 2025 | https://doi.org/10.3389/fsurg.2025.1571517

Corrigendum: A nomogram based on radiological features of MRI for predicting the risk of severe pain in patients with osteoarthritis of the knee

\r\nZhuce ShaoZhuce ShaoZhipeng LiangZhipeng LiangPeng HuPeng HuShuxiong Bi
\r\nShuxiong Bi*
  • Department of Bone and Joint, Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, China

A Corrigendum on

A nomogram based on radiological features of MRI for predicting the risk of severe pain in patients with osteoarthritis of the knee

By Shao Z, Liang Z, Hu P and Bi S (2023). Front. Surg. 10:1030164. doi: 10.3389/fsurg.2023.1030164

Error in Figure/Table

In the published article, there was an error in Table 2 as published. One of the numbers was incorrect when inserted in the table, the number marked in red in the table below (in the original text it is the p-value corresponding to the time in Table 2), was written incorrectly as 3.261, the real correct number is 0.030. This error doesn't affect all the tables and pictures that are expressed and carried out later on, nor does it affect any of the analysis and results and conclusions of this study. The corrected Table 2 and its caption “Logistics regression univariate analysis” appear below.

Table 2
www.frontiersin.org

Table 2. Logistics regression univariate analysis.

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Text Correction

In the published article, there was a clerical error, whereby the description was not precise enough.

A correction has been made to Results, “Logistics univariate and multivariate regression analysis of severe pain in patients with KOA”. This sentence previously stated:

“Logistic univariate regression showed that BML score, synovitis score, bone wear score, and meniscus displacement were more predictive and were independent risk factors for severe pain in patients with KOA.”

The corrected sentence appears below:

“Logistic regression results showed that factors including BML score, synovitis score, bone wear score and meniscus displacement among others were more predictive of severe pain and were risk factors for severe pain in patients with KOA.”

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: KOA, K–L, nomogram, forecast, pain, TKA

Citation: Shao Z, Liang Z, Hu P and Bi S (2025) Corrigendum: A nomogram based on radiological features of MRI for predicting the risk of severe pain in patients with osteoarthritis of the knee. Front. Surg. 12:1571517. doi: 10.3389/fsurg.2025.1571517

Received: 5 February 2025; Accepted: 28 February 2025;
Published: 14 March 2025.

Approved by: Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright: © 2025 Shao, Liang, Hu and Bi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Shuxiong Bi, YmlzaHV4aW9uZzE2OEBzb2h1LmNvbQ==

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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