{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,14]],"date-time":"2025-12-14T12:05:53Z","timestamp":1765713953212,"version":"3.40.5"},"reference-count":32,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2020,4,2]],"date-time":"2020-04-02T00:00:00Z","timestamp":1585785600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Diabetes"],"published-print":{"date-parts":[[2020,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>This study aims to investigate the association between serum creatinine and risk of type 2 diabetes mellitus (T2DM) based on a cohort analysis and meta\u2010analysis of cohort studies.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We enrolled 41\u2009439 participants aged \u226518\u2009years without T2DM at baseline, who had \u22652 health examinations based on an ongoing prospective cohort in Beijing. Cox proportional hazards regression model was used to estimate hazard ratios (HRs) and 95% CIs. For the meta\u2010analysis, cohort studies reporting risk estimates for the serum creatinine\u2010T2DM association were included. A random\u2010effects model was used to calculate summary relative risks (RRs) and restricted cubic splines to model the dose\u2010response association.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>During a mean follow\u2010up of 3.54\u2009years, 1867 developed T2DM. Low serum creatinine was associated with increased risk of T2DM; adjusted HRs (95% CIs) across sex\u2010specific quartiles were 1.45 (1.24, 1.71), 1.19 (1.02, 1.39), 1.07 (0.92, 1.24), and 1.00 (reference). The association was significant for both sexes and individuals with overweight or obesity. In the meta\u2010analysis of six cohort studies (including the current study) involving 115\u2009767 participants and 5370 T2DM events, the pooled RR was 1.61 (95% CI 1.35, 1.92), comparing the lowest with the highest category of serum creatinine. We found a linear association between serum creatinine and T2DM risk (<jats:italic>P<\/jats:italic><jats:sub>nonlinearity<\/jats:sub> = .082) and an increased risk of T2DM with each 0.1\u2010mg\/dL decrease in serum creatinine (RR = 1.07; 95% CI 1.04, 1.09).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>The cohort study and meta\u2010analysis provide further evidence supporting the negative association between serum creatinine and T2DM risk in a linear dose\u2010response pattern.<\/jats:p><\/jats:sec>","DOI":"10.1111\/1753-0407.13038","type":"journal-article","created":{"date-parts":[[2020,3,18]],"date-time":"2020-03-18T02:43:32Z","timestamp":1584499412000},"page":"594-604","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Dose\u2010response associations between serum creatinine and type 2 diabetes mellitus risk: A Chinese cohort study and meta\u2010analysis of cohort studies"],"prefix":"10.1111","volume":"12","author":[{"given":"Pei","family":"Qin","sequence":"first","affiliation":[{"name":"Department of Epidemiology and Health Statistics, School of Public Health Shenzhen University Health Science Center  Shenzhen People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanmei","family":"Lou","sequence":"additional","affiliation":[{"name":"Department of Health Management Beijing Xiaotangshan Hospital  Beijing People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liming","family":"Cao","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, School of Public Health Harbin Medical University  Harbin People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Shi","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, School of Public Health Harbin Medical University  Harbin People's Republic 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