Commentary: Antidepressants and diabetes risk: why are there discrepant findings from cohort studies based on patient records and those based on serial phenotyping?
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چکیده
Antidepressant use and new-onset diabetes: a systematic review and meta-analysis. Diabetes Metab Res Rev 2013;29:273–84. 19. Kivimäki M, Batty GD, Jokela M et al. Antidepressant medication use and risk of hyperglycemia and diabetes mellitus: a noncausal association? Biol Psychiatry 2011;70:978–84. 20. Mezuk B, Johnson-Lawrence V, Lee H et al. Is ignorance bliss? Depression, antidepressants, and the diagnosis of prediabetes and type 2 diabetes. Health Psychol 2013;32:254–63. 21. Erenmemisoglu A, Ozdogan UK, Saraymen R, Tutus A. Effect of some antidepressants on glycaemia and insulin levels of normoglycaemic and alloxan-induced hyperglycaemic mice. J Pharm Pharmacol 1999;51:741–43. 22. Khoza S, Barner JC. Glucose dysregulation associated with antidepressant agents: an analysis of 17 published case reports. Int J Clin Pharm 2011 Jun;33(3):484–492. 23. Ye Z, Chen L, Yang Z et al. Metabolic effects of fluoxetine in adults with type 2 diabetes mellitus: a meta-analysis of randomized placebo-controlled trials. PLoS One 2011;6:e21551. 24. Baumeister H, Hutter N, Bengel J. Psychological and pharmacological interventions for depression in patients with diabetes mellitus: an abridged Cochrane review. Diabet Med 2014;31: 773–86. 25. Pyykkönen A-J, Räikkönen K, Tuomi T, Eriksson JG, Groop L, Isomaa B. Association between depressive symptoms and metabolic syndrome is not explained by antidepressant medication: results from the PPP-Botnia Study. Ann Med 2012; 44:279–88. 26. Mojtabai R. Antidepressant use and glycemic control. Psychopharmacology (Berl) 2013;227:467–77. 27. Balkau B, Eschwege E, Tichet J, Marre M. Proposed criteria for the diagnosis of diabetes: evidence from a French epidemiological study (D.E.S.I.R.). Diabetes Metab 1997;23:428–34. 28. Wallace TM, Levy JC, Matthews DR. Use and abuse of HOMA modeling. Diabetes Care 2004;27:1487–95. 29. Laird NM, Ware JH. Random-effects models for longitudinal data. Biometrics 1982c;38:963–74. 30. Gomez R, Huber J, Tombini G, Barros HMT. Acute effect of different antidepressants on glycemia in diabetic and non-diabetic rats. Braz J Med Biol Res 2001;34:57–64. 31. Sambamoorthi U, Ma Y, Findley PA, Rust G. Antidepressant use, depression, and new-onset diabetes among elderly Medicare beneficiaries. J Diabetes 2013;5:327–35. 32. Nouwen A, Nefs G, Caramlau I et al. Prevalence of depression in individuals with impaired glucose metabolism or undiagnosed diabetes. Diabetes Care 2011;34:752–62.
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