Literature DB >> 33834410

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

Vladimir Trkulja1, Hrvoje Barić2.   

Abstract

Complementary and alternative medicine (CAM) encompasses a wide range of different non-mainstream therapies that have been increasingly used for treatment or adjunctive treatment of various ailments with mood disorders and "depressive difficulties" being two of the commonly CAM (self-)medicated conditions. We focus specifically on clinically diagnosed (in line with the standard criteria) depressive disorders, primarily major depressive disorder (MDD), and overview evidence of efficacy/safety of a range of CAM modalities addressing exclusively randomized controlled trials (RCTs) and systematic reviews/meta-analyses of RCTs. The list of addressed CAM interventions is not exhaustive: due to space limitation, addressed are interventions with at least a few conducted RCTs in the specific clinical conditions. We try to provide numerical and meaningful data as much as it is possible and to (a) indicate situations in which the reported data/estimates might have been "too enthusiastic" and (b) warn about heterogeneity of results that, together with other possible limitations (various biases and imprecision), results in uncertainty about the effects.

Entities:  

Keywords:  Complementary and alternative medicine; Depressive disorders; Evidence-based medicine; Major depressive disorder; Randomized controlled trials; Systematic reviews/meta-analyses

Mesh:

Year:  2021        PMID: 33834410     DOI: 10.1007/978-981-33-6044-0_20

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  96 in total

1.  Small studies are more heterogeneous than large ones: a meta-meta-analysis.

Authors:  Joanna IntHout; John P A Ioannidis; George F Borm; Jelle J Goeman
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2.  Moving toward evidence-based complementary care.

Authors:  Allan H Goroll
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3.  A comparison of heterogeneity variance estimators in simulated random-effects meta-analyses.

Authors:  Dean Langan; Julian P T Higgins; Dan Jackson; Jack Bowden; Areti Angeliki Veroniki; Evangelos Kontopantelis; Wolfgang Viechtbauer; Mark Simmonds
Journal:  Res Synth Methods       Date:  2018-09-06       Impact factor: 5.273

Review 4.  Current Research on Complementary and Alternative Medicine (CAM) in the Treatment of Anxiety Disorders: An Evidence-Based Review.

Authors:  Vladimir Trkulja; Hrvoje Barić
Journal:  Adv Exp Med Biol       Date:  2020       Impact factor: 2.622

5.  Meta-analysis in clinical trials.

Authors:  R DerSimonian; N Laird
Journal:  Control Clin Trials       Date:  1986-09

6.  Nonpharmacologic Versus Pharmacologic Treatment of Adult Patients With Major Depressive Disorder: A Clinical Practice Guideline From the American College of Physicians.

Authors:  Amir Qaseem; Michael J Barry; Devan Kansagara
Journal:  Ann Intern Med       Date:  2016-02-09       Impact factor: 25.391

Review 7.  Alternative and complementary approaches in psychiatry: beliefs versus evidence.

Authors:  Pierre Schulz; Vincent Hede
Journal:  Dialogues Clin Neurosci       Date:  2018-09       Impact factor: 5.986

8.  Complementary therapies for clinical depression: an overview of systematic reviews.

Authors:  Heidemarie Haller; Dennis Anheyer; Holger Cramer; Gustav Dobos
Journal:  BMJ Open       Date:  2019-08-05       Impact factor: 2.692

Review 9.  Impact of prenatal exercise on both prenatal and postnatal anxiety and depressive symptoms: a systematic review and meta-analysis.

Authors:  Margie H Davenport; Ashley P McCurdy; Michelle F Mottola; Rachel J Skow; Victoria L Meah; Veronica J Poitras; Alejandra Jaramillo Garcia; Casey E Gray; Nick Barrowman; Laurel Riske; Frances Sobierajski; Marina James; Taniya Nagpal; Andree-Anne Marchand; Megan Nuspl; Linda G Slater; Ruben Barakat; Kristi B Adamo; Gregory A Davies; Stephanie-May Ruchat
Journal:  Br J Sports Med       Date:  2018-11       Impact factor: 13.800

10.  The Hartung-Knapp-Sidik-Jonkman method for random effects meta-analysis is straightforward and considerably outperforms the standard DerSimonian-Laird method.

Authors:  Joanna IntHout; John P A Ioannidis; George F Borm
Journal:  BMC Med Res Methodol       Date:  2014-02-18       Impact factor: 4.615

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  1 in total

1.  Diagnosis of Neural Activity among Abnormal Brain Regions in Patients with Major Depressive Disorder by Magnetic Resonance Imaging Features.

Authors:  Weicheng Wang; Shuang Jia; Qionghui Zhao; Lin Yang
Journal:  Comput Math Methods Med       Date:  2022-06-28       Impact factor: 2.809

  1 in total

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