CORRECTION article

Front. Endocrinol., 28 April 2025

Sec. Cancer Endocrinology

Volume 16 - 2025 | https://doi.org/10.3389/fendo.2025.1591823

Corrigendum: Predictive and prognostic nomogram models for liver metastasis in colorectal neuroendocrine neoplasms: a large population study

This article is a correction to:

  1. Predictive and prognostic nomogram models for liver metastasis in colorectal neuroendocrine neoplasms: A large population study

    1. Read original article
Xiao Lei&#x;Xiao Lei1‡Yanwei Su,&#x;Yanwei Su1,2‡Rui LeiRui Lei3Dongyang ZhangDongyang Zhang4Zimeng LiuZimeng Liu1Xiangke LiXiangke Li1Minjie YangMinjie Yang1Jiaxin PeiJiaxin Pei1Yanyan Chi,*&#x;Yanyan Chi1,2*†Lijie Song,*Lijie Song1,2*
  • 1Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
  • 2Henan Neuroendocrine Tumor Medical Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
  • 3Department of Endocrinology, Zhoukou First People’s Hospital, Zhoukou, China
  • 4School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, China

A Corrigendum on
Predictive and prognostic nomogram models for liver metastasis in colorectal neuroendocrine neoplasms: a large population study

By Lei X, Su Y, Lei R, Zhang D, Liu Z, Li X, Yang M, Pei J, Chi Y and Song L (2025). Front. Endocrinol. 15:1488733. doi: 10.3389/fendo.2024.1488733

In the published article, there was an error in the legend of Figure 2A as published. Due to the change of the website name, the QR code in the original picture has become invalid. The corrected figure and its caption appear below.

Figure 2
www.frontiersin.org

Figure 2. The nomogram for LM in patients with CRNENs (A), and the ROC curves for the predictive nomogram in the training (B) and validation group (E) Calibration curves in the training (C) and validation group (F) DCA curves in the training (D) and validation group (G). The "*" indicates the significance level of the independent variable. The number of "*" varies when the significance levels are different.

In the published article, there were some language errors. Due to these errors, several mistakes occurred in the original text.

1. A correction has been made to the Abstract, Results:, Lines 2 to 5.

This sentence previously stated:

“The result of multivariate logistic regression analyses indicated that histologic type, tumor grade, T stage, N stage, lung metastasis, bone metastasis, and tumor size were independent predictive factors for LM in patients with CRNENs (p < 0.05).”

The corrected sentence appears below:

“The result of multivariate logistic regression analyses indicated that histologic type, tumor grade, T stage, N stage, lung metastasis, bone metastasis, surgery, and tumor size were independent predictive factors for LM in patients with CRNENs (p < 0.05).”

2. A correction has been made to Result, 3.2 Risk factors and predictive nomogram for LM in CRNETs, 3.2.1 Risk factors analysis of LM in CRNETs.

This sentence previously stated:

“The results of univariate logistic demonstrate that age, gender, race, histologic type, Grade, Tstage, N stage, lung metastasis, bone metastasis, and tumor size are factors related to the occurrence of LM in patients with CRNENs (Table 3; p < 0.05). Multivariable logistic analysis results revealed that histologic type, Grade, T stage, N stage, lung metastasis, bone metastasis, and tumor size are the independent influencing factors for LM in patients with CRNENs (Table 3). In contrast, the histological type (8240;8244;8510) may be the protective indicator (Table 3; OR < 1;p < 0.05).”

The corrected sentence appears below:

“The results of univariate logistic demonstrate that age, gender, race, histologic type, Grade, T stage, N stage, lung metastasis, bone metastasis, surgery, and tumor size are factors related to the occurrence of LM in patients with CRNENs (Table 3; p < 0.05). Multivariable logistic analysis results revealed that histologic type, Grade, T stage, N stage, lung metastasis, bone metastasis, surgery, and tumor size are the independent influencing factors for LM in patients with CRNENs (Table 3).

In contrast, the histological type (8240;8244;8510) and surgery may be the protective indicator (Table 3; OR < 1;p < 0.05).”

3. A correction has been made to Result, 3.2 Risk factors and predictive nomogram for LM in CRNETs.

This sub-headings previously stated:

“3.2 Risk factors and predictive nomogram for LM in CRNETs

3.2.1 Risk factors analysis of LM in CRNETs

3.2.2 The predictive nomogram for LM in CRNETs”

The corrected sub-headings appears below:

“3.2 Risk factors and predictive nomogram for LM in CRNENs

3.2.1 Risk factors analysis of LM in CRNENs

3.2.2 The predictive nomogram for LM in CRNENs”

4.A correction has been made to Result, 3.3 Prognostic factors and nomogram for LM-CRNENs, 3.3.1 Prognostic factors analysis of LM-CRNENs.

This sentence previously stated:

“Primary tumors originating in the rectum, histologic types 8240 and 8510, surgery, and chemotherapy were considered protective factors in prognosis (Table 4; HR < 1, p > 0.05). ”

The corrected sentence appears below:

“Primary tumors originating in the rectum, histologic types 8240 and 8510, surgery, and chemotherapy were considered protective factors in prognosis (Table 4; HR < 1, p<0.05). ”

The authors apologize for these errors 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: colorectal neuroendocrine neoplasms, liver metastases, overall survival, nomogram, SEER, prognostic factors, risk factors

Citation: Lei X, Su Y, Lei R, Zhang D, Liu Z, Li X, Yang M, Pei J, Chi Y and Song L (2025) Corrigendum: Predictive and prognostic nomogram models for liver metastasis in colorectal neuroendocrine neoplasms: a large population study. Front. Endocrinol. 16:1591823. doi: 10.3389/fendo.2025.1591823

Received: 11 March 2025; Accepted: 14 April 2025;
Published: 28 April 2025.

Edited and Reviewed by:

Koda Stephane, Xuzhou Medical University, China

Copyright © 2025 Lei, Su, Lei, Zhang, Liu, Li, Yang, Pei, Chi and Song. 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: Yanyan Chi, Q3l5ODI0NTI1QGpsdS5lZHUuY24=; Lijie Song, bGlqaWVzb25nY25AaG90bWFpbC5jb20=

†Present address: Yanyan Chi, Department of Research, The First Bethune Hospital of Jilin University, Changchun, China

‡These authors have contributed equally to this work

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.