In the published article, there was an error in Figure 7 and its legend as published. The original Figure 7 was incorrectly labeled as showing ASIR and ASPR, while the actual data represent the total number of incident and prevalent cases (All ages + Number). Y-axis titles and subplot headings were also mislabeled and have now been corrected. The corrected Figure 7 and its caption appear below.
Figure 7
In the published article, there was an error. The indicator names in "Section 3.6" were incorrectly stated as age-standardized incidence rate (ASIR) and age-standardized prevalence rate (ASPR), while the actual data used in the analysis and figure were based on the total number of incident and prevalent cases (All ages + Number).
A correction has been made to Results, Section 3.6.
The corrected paragraph appears below:
“3.6 Forecast analysis of incident and prevalent case counts of chronic kidney disease due to type 1 diabetes in China and globally
In China, the number of incident cases has consistently decreased since 1990, with a particularly notable decline in females. Projections indicate that between 2022 and 2040, the incident case counts for both males and females in China will continue to decrease and approach an extremely low level, almost close to zero (Figure 7). However, the prevalent case counts show a significant upward trend, especially among females, indicating that despite the reduction in new cases, the total number of existing cases will continue to rise due to longer patient survival and cumulative effects.
In contrast, globally, the number of incident cases has remained relatively stable or slightly increased, which may reflect regional differences in diabetes prevention and control efforts. Projections suggest that the global number of incident cases will remain stable or show slight increases by 2040. Simultaneously, the number of prevalent cases has risen rapidly over the past 30 years and is expected to continue rising between 2022 and 2040, especially among females, with the growth rate in females significantly outpacing that in males. This trend reflects the prolonged survival of patients with type 1 diabetes globally and the cumulative increase in disease burden. China’s notable success in reducing incident case counts contrasts with the relative stability observed globally, but the overall upward trend in prevalence is consistent between China and the rest of the world.”
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.
Statements
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 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.
Summary
Keywords
ARIMA prediction, chronic kidney disease, global disease burden, incidence, mortality, type 1 diabetes, trend analysis, years lived with disability
Citation
Yang Q, Jin L, Luo M and Xie S (2025) Correction: Current status, trend changes, and future predictions of the disease burden of type 1 diabetes kidney disease in global and China. Front. Endocrinol. 16:1636897. doi: 10.3389/fendo.2025.1636897
Received
28 May 2025
Accepted
30 May 2025
Published
16 June 2025
Volume
16 - 2025
Edited and reviewed by
Georgia Damoraki, National and Kapodistrian University of Athens, Greece
Updates
Copyright
© 2025 Yang, Jin, Luo and Xie.
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: Mingwei Luo, lmw823@163.com; Shiwei Xie, xsw0206@126.com
†These authors have contributed equally to this work and share first authorship
‡ORCID: Mingwei Luo, orcid.org/0000-0002-8486-6420; Shiwei Xie, orcid.org/0000-0001-9204-119X
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.