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A network meta\u2010analysis was conducted to compare the efficacy of specific drug classes. PubMed and Embase databases were searched for relevant articles. Results of the pairwised meta\u2010analysis were illustrated by odd ratios (OR) and a corresponding 95% confidence interval (CI). The probabilities and outcome of each treatment were ranked and summarized using the surface under the cumulative ranking curve (SUCRA).Twenty\u2010three trials were identified, including 224,832 patients with an average follow\u2010up period of 3.9 \u00b1 1.0 years. The network meta\u2010analysis showed that patients treated by angiotensin II receptor blockers (ARBs) were associated with a lower risk of NOD compared to placebo (PCB), calcium channel blockers (CCBs) and \u03b2\u2010blockers, while diuretic appeared to be ineffective for NOD prevention. Network meta\u2010analysis results of specific drugs showed that enalapril exhibited distinct advantages and hydrochlorothiazide also exhibited a reliable performance. Our results suggested that both ARBs and angiotensin converse enzyme inhibitors (ACEIs), especially candesartan and enalapril, were preferable for NOD prevention in hypertensive patients. Hydrochlorothiazide also exhibited a reliable performance in comparison with other agents.<\/jats:p>","DOI":"10.1111\/jcmm.13096","type":"journal-article","created":{"date-parts":[[2017,2,23]],"date-time":"2017-02-23T11:56:41Z","timestamp":1487851001000},"page":"1742-1750","source":"Crossref","is-referenced-by-count":16,"title":["Comparing six antihypertensive medication classes for preventing new\u2010onset diabetes mellitus among hypertensive patients: a network meta\u2010analysis"],"prefix":"10.1111","volume":"21","author":[{"given":"Yang","family":"Yang","sequence":"first","affiliation":[{"name":"Department of Social Medicine School of Public Health Central South University Changsha Hunan China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huilan","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Social Medicine School of Public Health Central South University Changsha Hunan China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2017,2,23]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.1097\/MD.0000000000000590"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.1097\/MD.0000000000001495"},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.4239\/wjd.v6.i3.445"},{"key":"e_1_2_6_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.amjcard.2006.10.068"},{"key":"e_1_2_6_6_1","first-page":"767","article-title":"Effect of renin inhibition on adipokines in diabetic rats","volume":"27","author":"Hassanin A","year":"2014","journal-title":"Pak J Pharm Sci"},{"key":"e_1_2_6_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.amjcard.2011.01.064"},{"key":"e_1_2_6_8_1","doi-asserted-by":"publisher","DOI":"10.1038\/hr.2009.45"},{"key":"e_1_2_6_9_1","doi-asserted-by":"publisher","DOI":"10.1038\/ajh.2011.8"},{"key":"e_1_2_6_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijcard.2012.06.125"},{"key":"e_1_2_6_11_1","first-page":"1804","article-title":"Effect of angiotensin receptor blockers in the prevention of type 2 diabetes and cardiovascular events: a meta\u2010analysis of randomized trials","volume":"125","author":"Song HF","year":"2012","journal-title":"Chin Med J"},{"key":"e_1_2_6_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijcard.2016.04.132"},{"key":"e_1_2_6_13_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa1001121"},{"key":"e_1_2_6_14_1","first-page":"276","article-title":"Comparative effect of antihypertensive therapy on blood glucose level in hypertensive patients in an Indian population","volume":"64","author":"Ahmad MA","year":"2014","journal-title":"Drug Res (Stuttg)"},{"key":"e_1_2_6_15_1","doi-asserted-by":"publisher","DOI":"10.1111\/ijcp.12567"},{"key":"e_1_2_6_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.diabres.2014.04.004"},{"key":"e_1_2_6_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2005.05.051"},{"key":"e_1_2_6_18_1","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.d2234"},{"key":"e_1_2_6_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.amjcard.2007.05.057"},{"key":"e_1_2_6_20_1","doi-asserted-by":"publisher","DOI":"10.1038\/sj.jhh.1001931"},{"key":"e_1_2_6_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijcard.2010.10.011"},{"key":"e_1_2_6_22_1","doi-asserted-by":"publisher","DOI":"10.2337\/diacare.28.9.2261"},{"key":"e_1_2_6_23_1","doi-asserted-by":"publisher","DOI":"10.1097\/01.hjh.0000177537.91527.09"},{"key":"e_1_2_6_24_1","doi-asserted-by":"publisher","DOI":"10.1177\/1074248407304791"},{"key":"e_1_2_6_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2012.10.011"},{"key":"e_1_2_6_26_1","unstructured":"SnedecorSJ PhD PatelDA et al.From pairwise to network meta\u2010analyses. 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