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      Indices of Change, Expectations, and Popularity of Biological Treatments for Major Depressive Disorder between 1988 and 2017: A Scientometric Analysis

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          Abstract

          Background. Major Depressive Disorder (MDD) is the most common psychiatric disorder with high prevalence and disease burden. Biological treatments of MDD over the last several decades include a wide range of antidepressants and neurostimulation therapies. While recent meta-analyses have explored the efficacy and tolerability of antidepressants, the changing trends of biological treatments have not been evaluated. Our study measured the indices of change, expectations, and popularity of biological treatments of MDD between 1988 and 2017. Methods. We performed a scientometric analysis to identify all relevant publications related to biological treatments of MDD from 1988 to 2017. We searched the Web of Science websites for publications from 1 January 1988 to 31 December 2017. We included publications of fluoxetine, paroxetine, citalopram, sertraline, amitriptyline, fluvoxamine, escitalopram, venlafaxine, duloxetine, milnacipran, desvenlafaxine, levomilnacipran, clomipramine, nortriptyline, bupropion, trazodone, nefazodone, mirtazapine, agomelatine, vortioxetine, vilazodone, electroconvulsive therapy (ECT), repetitive transcranial magnetic stimulation (rTMS), vagus nerve stimulation (VNS), deep brain stimulation (DBS), and transcranial direct current stimulation (tDCS). We excluded grey literature, conference proceedings, books/book chapters, and publications with low quality as well as publications not related to medicine or human health. The primary outcomes assessed were indices of change, expectations, and popularity. Results. Of 489,496 publications identified, we included 355,116 publications in this scientometric analysis. For the index of change, fluoxetine, sertraline and ECT demonstrated a positive index of change in 6 consecutive periods. Other neurostimulation therapies including rTMS, VNS, DBS and tDCS had shown a positive index of change since 1998. We calculated the index of change of popularity index (PI), which indicates that from 2013 to 2017, the number of publications on tricyclic antidepressants (TCAs) and monoamine oxidase inhibitors (MAOIs) were reduced by 85.0% and 81.3% respectively, as compared with the period 2008–2012. For the index of expectation, fluoxetine and ECT showed the highest index of expectations in six consecutive periods and remained the highest in 2013–2017. For popularity, the three antidepressants with highest PI were fluoxetine (4.01), paroxetine (2.09), and sertraline (1.66); the three antidepressants with lowest PI were desvenlafaxine (0.08), vilazodone (0.04) and levomilnacipran (0.03). Among neurostimulation therapies, ECT has the highest PI (2.55), and tDCS the lowest PI (0.14). The PI of SSRI remained the highest among all biological treatments of MDD in 2013–2017. In contrast, the PI of ECT was reduced by approximately 50% during the period 2008 to2012 than that in the period 2013 to 2017. Conclusions. This scientometric analysis represents comprehensive evidence on the popularity and change in prospects of biological treatments for MDD from 1988 to 2017. The popularity of SSRI peaked between 1998 and 2002, when their efficacy, tolerability and safety profile allowed them to replace the TCAs and MAOIs. While the newer neurostimulation therapies are gaining momentum, the popularity of ECT has sustained.

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          Comparative efficacy and tolerability of antidepressants for major depressive disorder in children and adolescents: a network meta-analysis

          Major depressive disorder is one of the most common mental disorders in children and adolescents. However, whether to use pharmacological interventions in this population and which drug should be preferred are still matters of controversy. Consequently, we aimed to compare and rank antidepressants and placebo for major depressive disorder in young people.
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            Comparative Efficacy and Acceptability of 21 Antidepressant Drugs for the Acute Treatment of Adults With Major Depressive Disorder: A Systematic Review and Network Meta-Analysis

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              Is pharma running out of brainy ideas?

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                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                26 June 2019
                July 2019
                : 16
                : 13
                : 2255
                Affiliations
                [1 ]Institute for Preventive Medicine and Public Health, Hanoi Medical University, Hanoi 100000, Vietnam
                [2 ]Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
                [3 ]Vietnam Young Physicians’ Association, Hanoi 100000, Vietnam
                [4 ]Institute for Global Health Innovations, Duy Tan University, Hanoi 100000, Vietnam
                [5 ]Center of Excellence in Evidence-Based Medicine, Nguyen Tat Thanh University, Ho Chi Minh City 70000, Vietnam
                [6 ]Center of Excellence in Behavioral Medicine, Nguyen Tat Thanh University, Ho Chi Minh City 70000, Vietnam
                [7 ]Stanford University School of Medicine, 291 Campus Drive, Stanford, CA 94305, USA
                [8 ]Institute of Medical Science, University of Toronto, Toronto, ON M5S 1A8, Canada
                [9 ]Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON M5G 2C4, Canada
                [10 ]Department of Psychiatry, University of Toronto, Toronto, ON M5T 1R8, Canada
                [11 ]Department of Toxicology and Pharmacology, University of Toronto, Toronto, ON M5S 1A8, Canada
                [12 ]Department of Psychological Medicine, National University Health System, Singapore 119228, Singapore
                [13 ]Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore
                [14 ]Center of Excellence in Evidence-Based Medicine, Nguyen Tat Thanh University, Ho Chi Minh City 70000, Vietnam
                [15 ]Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
                [16 ]Institute for Health Innovation and Technology (iHealthtech), National University of Singapore, Singapore 117599, Singapore
                [17 ]Center of Excellence in Behavioral Medicine, Nguyen Tat Thanh University, Ho Chi Minh City 70000, Vietnam
                Author notes
                [* ]Correspondence: pcmrhcm@ 123456nus.edu.sg ; Tel.: +65-9732-1097
                Author information
                https://orcid.org/0000-0001-7827-8449
                https://orcid.org/0000-0002-7092-9566
                https://orcid.org/0000-0003-0641-3060
                https://orcid.org/0000-0001-9629-4493
                Article
                ijerph-16-02255
                10.3390/ijerph16132255
                6651662
                31247926
                2670d59c-8418-4bbb-828f-771e65206219
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 14 April 2019
                : 19 June 2019
                Categories
                Article

                Public health
                antidepressants,depressive disorder,electroconvulsive therapy,neurostimulation,scientometric analysis

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