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11/14/2025 8:29:45 AM | Browse: 159 | Download: 408
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Received |
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2025-08-11 05:49 |
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2025-08-11 09:49 |
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2025-08-20 07:13 |
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2025-08-25 17:22 |
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2025-10-20 02:45 |
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2025-10-20 09:34 |
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2025-10-20 09:34 |
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Typeset the Manuscript |
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2025-11-07 05:52 |
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2025-11-14 08:23 |
| ISSN |
1948-9358 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Endocrinology & Metabolism |
| Manuscript Type |
Letter to the Editor |
| Article Title |
Reevaluating the relationship between COVID-19 and type 1 diabetes mellitus: Methodological considerations
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Er-Min Liang and Hong-Cheng Luo |
| Funding Agency and Grant Number |
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| Corresponding Author |
Hong-Cheng Luo, MD, Department of Urology, The Eighth Affiliated Hospital of Sun Yat-sen University, No. 3025, Shennan Zhong Road, Futian District, Shenzhen 518033, Guangdong Province, China. drlhc96@163.com |
| Key Words |
Type 1 diabetes mellitus; Coronavirus disease 2019; Incidence; Seasonality; Epidemiology; Viral infections; Bias |
| Core Tip |
Carmon et al’s study suggests a link between the coronavirus disease 2019 pandemic and rising type 1 diabetes mellitus cases. This letter provides a constructive critique of their methodology. The authors point out that ecological analysis without individual infection data can be misleading, unaddressed confounders and lack of coronavirus disease 2019 (COVID-19) stratification weaken causal inference, and pandemic-related diagnostic delays (reflected in higher diabetic ketoacidosis rates) may have inflated case counts. The authors also caution that biases in viral surveillance data complicate the interpretation of “reduced” non-COVID infections. Addressing these issues with more granular data and analyses will improve future research on the type 1 diabetes mellitus-COVID relationship. |
| Publish Date |
2025-11-14 08:23 |
| Citation |
Liang EM, Luo HC. Reevaluating the relationship between COVID-19 and type 1 diabetes mellitus: Methodological considerations. World J Diabetes 2025; 16(11): 112939 |
| URL |
https://www.wjgnet.com/1948-9358/full/v16/i11/112939.htm |
| DOI |
https://dx.doi.org/10.4239/wjd.v16.i11.112939 |
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