Front. Endocrinol. Frontiers in Endocrinology Front. Endocrinol. 1664-2392 Frontiers Media S.A. 10.3389/fendo.2022.1109390 Endocrinology Correction Corrigendum: A novel nomogram containing efficacy indicators to predict axillary pathologic complete response after neoadjuvant systemic therapy in breast cancer Shi Wenjie 1 † Huang Xiaofeng 1 † Wang Ye 1 Wan Xinyu 1 He Jinzhi 1 Xu Yinggang 1 Zhang Weiwei 1 Chen Rui 1 Xu Lu 2 Zha Xiaoming 1 * Wang Jue 1 * 1 Department of Breast Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China 2 Department of Clinical Nutrition, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China

Edited and Reviewed by: Cinthia Rosemblit, CONICET Institute for Biomedical Research (BIOMED), Argentina

*Correspondence: Jue Wang, wangjue200011@njmu.edu.cn; Xiaoming Zha, njzhaxm@njmu.edu.cn

†These authors have contributed equally to this work

This article was submitted to Cancer Endocrinology, a section of the journal Frontiers in Endocrinology

 19 12 2022 2022 13 1109390 27 11 2022 06 12 2022 Copyright © 2022 Shi, Huang, Wang, Wan, He, Xu, Zhang, Chen, Xu, Zha and Wang 2022 Shi, Huang, Wang, Wan, He, Xu, Zhang, Chen, Xu, Zha and Wang

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 A Corrigendum on A novel nomogram containing efficacy indicators to predict axillary pathologic complete response after neoadjuvant systemic therapy in breast cancer by Shi W, Huang X, Wang Y, Wan X, He J, Xu Y, Zhang W, Chen R, Xu L, Zha X and Wang J (2022). Front. Endocrinol. 13:1042394. doi: 10.3389/fendo.2022.1042394 breast cancer neoadjuvant systemic therapy efficacy indicators pathologic complete response nomogram

In the published article, there was an error in the legend for Figure 5 as published. The legend was incorrectly recorded as: “The receiver operating characteristic (ROC) curves The area under the curve (AUC) was 0.795 (95% CI: 0.747–0.843) in the training set, 0.809 (95% CI: 0.738–0.880) in the validation set, and 0.705 (95% CI: 0.651–0.759) in the predictive model only including baseline indicators.”

The corrected legend appears below:

“The receiver operating characteristic (ROC) curves The area under the curve (AUC) was 0.792 (95% CI: 0.744–0.839) in the training set, 0.785 (95% CI: 0.709–0.862) in the validation set, and 0.697 (95% CI: 0.652–0.742) in the predictive model only including baseline indicators.”

The receiver operating characteristic (ROC) curves The area under the curve (AUC) was 0.792 (95% CI: 0.744–0.839) in the training set, 0.785 (95% CI: 0.709–0.862) in the validation set, and 0.697 (95% CI: 0.652–0.742) in the predictive model only including baseline indicators.

In the published article, there was also an error in which the incorrect values were written. A correction has been made to Abstract, Results. This sentence previously stated:

“The nomogram had an area under the receiver operating characteristic curve (AUC) of 0.795 (95% CI: 0.747–0.843)”

The corrected sentence appears below:

“The nomogram had an area under the receiver operating characteristic curve (AUC) of 0.792 (95% CI: 0.744–0.839)”

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

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