{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T16:00:20Z","timestamp":1791388820902,"version":"4.3.3"},"reference-count":27,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2025,12,15]],"date-time":"2025-12-15T00:00:00Z","timestamp":1765756800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2025,12,15]],"date-time":"2025-12-15T00:00:00Z","timestamp":1765756800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["72104186"],"award-info":[{"award-number":["72104186"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002338","name":"Ministry of Education of the People's Republic of China","doi-asserted-by":"publisher","award":["20YJCZH002"],"award-info":[{"award-number":["20YJCZH002"]}],"id":[{"id":"10.13039\/501100002338","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Diabetes Invest"],"published-print":{"date-parts":[[2026,2]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To analyze the disease burden of chronic kidney disease due to diabetes mellitus type 2 (CKD due to diabetes mellitus type 2) in China and the global population from 1990 to 2021, and to predict the future trend of the population.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Joinpoint regression quantifies trends by the average annual percentage change (AAPC). Decomposition analysis assessed the contribution of aging, population growth, and epidemiological transitions to changes in the disease burden. The Bayesian model predicts the number of cases and deaths in 2022\u20132031.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>From 1990 to 2021, the global and Chinese age\u2010standardized incidence rates (ASIRs) showed an upward trend, of which the global AAPC was 1.928% (95% CI\u2009=\u20091.908\u20131.948%); global and Chinese age\u2010standardized mortality rates (ASMRs) are on the rise. In the decomposition analysis, population growth was the main driving force for the increase of global and Chinese cases and deaths, accounting for 60.14, 53.99, 56.64, and 72.82% of the change, respectively. 87.17% of the global age\u2010standardized DALY rate was attributed to hyperglycemia. High BMI has become a major risk factor in China. It is expected that by 2031, the number of ASIR and deaths of CKD worldwide will continue to rise.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The CKD due to diabetes mellitus type 2 burden remains severe worldwide and in China. Strengthened public health policies and clinical prevention strategies are urgently needed to mitigate this burden.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jdi.70216","type":"journal-article","created":{"date-parts":[[2025,12,15]],"date-time":"2025-12-15T11:15:52Z","timestamp":1765797352000},"page":"256-266","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Investigation and future trend prediction of disease burden of chronic kidney disease due to diabetes mellitus type 2 globally and in China from 1990 to 2021"],"prefix":"10.1111","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-1067-2253","authenticated-orcid":false,"given":"Jinpeng","family":"Du","sequence":"first","affiliation":[{"name":"School of Public Health Shandong Second Medical University  Weifang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Tang","sequence":"additional","affiliation":[{"name":"Affiliated Hospital Shandong Second Medical University  Weifang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yingcai","family":"Qin","sequence":"additional","affiliation":[{"name":"School of Public Health Shandong Second Medical University  Weifang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Changzhi","family":"Meng","sequence":"additional","affiliation":[{"name":"School of Public Health Shandong Second Medical University  Weifang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weiqin","family":"Cai","sequence":"additional","affiliation":[{"name":"School of Management Shandong Second Medical University  Weifang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongqing","family":"An","sequence":"additional","affiliation":[{"name":"School of Public Health Shandong Second Medical University  Weifang China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,12,15]]},"reference":[{"key":"e_1_2_10_2_1","first-page":"89","article-title":"Analysis on the changing trend of burden of chronic kidney disease and prediction of incidence in China from 1990 to 2021","volume":"29","author":"Bian S","year":"2025","journal-title":"J Clin Med Pract"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrdp.2017.88"},{"key":"e_1_2_10_4_1","first-page":"1","article-title":"Diabetic kidney disease; review of the current knowledge","volume":"3","author":"Shahbazian H","year":"2013","journal-title":"J Renal Inj Prev"},{"key":"e_1_2_10_5_1","first-page":"180","article-title":"Recent advances in diabetic kidney disease","volume":"18","author":"Hanouneh MA","year":"2020","journal-title":"BMC Med"},{"key":"e_1_2_10_6_1","first-page":"245","article-title":"Prevalence and predictors 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