Literature DB >> 31120202

Anti-Inflammatory Treatments for Depression: Perspectives on How to Read a Meta-Analysis Critically.

Chittaranjan Andrade1.   

Abstract

Inflammatory mechanisms have been implicated in many psychiatric disorders, including depression, and anti-inflammatory agents have been suggested as potential treatments. In this context, a systematic review and meta-analysis of nonsteroidal anti-inflammatory drugs, cytokine inhibitors, glucocorticoids, statins, minocycline, and pioglitazone, all of which are considered to have anti-inflammatory properties, examined the antidepressant benefits of these agents in 36 randomized controlled trials conducted in patients with major depressive disorder (MDD) and patients with medical diseases and associated depressive symptoms. The meta-analysis found that, overall, relative to placebo, these drugs had superior antidepressant effect in patients with MDD as well as in those with medical disease. With the exception of pioglitazone, every drug/category also outperformed placebo. However, the findings of this extensive meta-analysis do not guide theory; because the different anti-inflammatory agents studied have multiple pharmacodynamic actions, there is no assurance that their anti-inflammatory mechanism was responsible for the reported antidepressant benefits. The findings do not guide clinical practice, either, because of substantial clinical and statistical heterogeneity; no specific drug, dose, duration of treatment, and disorder were identified for application of the findings. Finally, the meta-analysis contained obvious and non-obvious errors, including the combination of endpoint and improvement scores in the same summary estimate (standardized mean deviation) and the use of percentage scores rather than absolute scores in the computations. These issues are explained so that readers can more easily consider or detect the limitations of meta-analyses that are published. © Copyright 2019 Physicians Postgraduate Press, Inc.

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Year:  2019        PMID: 31120202     DOI: 10.4088/JCP.19f12907

Source DB:  PubMed          Journal:  J Clin Psychiatry        ISSN: 0160-6689            Impact factor:   4.384


  5 in total

Review 1.  Major Depressive Disorder in Older Patients as an Inflammatory Disorder: Implications for the Pharmacological Management of Geriatric Depression.

Authors:  Malcolm P Forbes; Adrienne O'Neil; Melissa Lane; Bruno Agustini; Nick Myles; Michael Berk
Journal:  Drugs Aging       Date:  2021-04-29       Impact factor: 3.923

Review 2.  Current Research on Complementary and Alternative Medicine (CAM) in the Treatment of Major Depressive Disorder: An Evidence-Based Review.

Authors:  Vladimir Trkulja; Hrvoje Barić
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

Review 3.  Neural networks and the anti-inflammatory effect of transcutaneous auricular vagus nerve stimulation in depression.

Authors:  Chun-Hong Liu; Ming-Hao Yang; Guang-Zhong Zhang; Xiao-Xu Wang; Bin Li; Meng Li; Marie Woelfer; Martin Walter; Lihong Wang
Journal:  J Neuroinflammation       Date:  2020-02-12       Impact factor: 8.322

4.  Integrated co-expression network analysis uncovers novel tissue-specific genes in major depressive disorder and bipolar disorder.

Authors:  Mengyao Han; Liyun Yuan; Yuwei Huang; Guiying Wang; Changsheng Du; Qingzhong Wang; Guoqing Zhang
Journal:  Front Psychiatry       Date:  2022-08-23       Impact factor: 5.435

5.  Meta-analysis is not always the best way to round out a systematic review: a few thoughts prompted by the COVID-19 pandemic and "spiced-up" with an earthquake.

Authors:  Vladimir Trkulja; Pero Hrabač
Journal:  Croat Med J       Date:  2020-04-30       Impact factor: 1.351

  5 in total

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