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      Effects of antidepressants on QT interval in people with mental disorders

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          Abstract

          Introduction

          Drug-induced QT prolongation is associated with higher cardiovascular mortality.

          Material and methods

          We conducted a protocol-based comprehensive review of antidepressant-induced QT prolongation in people with mental disorders.

          Results

          Based on findings from 47 published randomized controlled trials (RCTs), 3 unpublished RCTs, 14 observational studies, 662 case reports of torsades de pointes, and 168 cases of QT prolongation, we conclude that all antidepressants should be used only with licensed doses, and that all patients receiving antidepressants require monitoring of QT prolongation and clinical symptoms of cardiac arrhythmias. Large observational studies suggest increased mortality associated with all antidepressants (RR = 1.62, 95% CI: 1.60–1.63, number of adults: 1,716,552), high doses of tricyclic antidepressants (OR = 2.11, 85% CI 1.10–4.22), selective serotonin reuptake inhibitors (OR = 2.78, 95% CI: 1.24–6.24), venlafaxine (OR = 3.73, 95% CI: 1.33–10.45, number of adults: 4,040), and nortriptyline (OR = 4.60, 95% CI: 1.20–18.40, number of adults: 5,298).

          Conclusions

          Evidence regarding the risk of QT prolongation in children is sparse.

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          Most cited references124

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          Prevention of torsade de pointes in hospital settings: a scientific statement from the American Heart Association and the American College of Cardiology Foundation.

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            Utilizing social media data for pharmacovigilance: A review.

            Automatic monitoring of Adverse Drug Reactions (ADRs), defined as adverse patient outcomes caused by medications, is a challenging research problem that is currently receiving significant attention from the medical informatics community. In recent years, user-posted data on social media, primarily due to its sheer volume, has become a useful resource for ADR monitoring. Research using social media data has progressed using various data sources and techniques, making it difficult to compare distinct systems and their performances. In this paper, we perform a methodical review to characterize the different approaches to ADR detection/extraction from social media, and their applicability to pharmacovigilance. In addition, we present a potential systematic pathway to ADR monitoring from social media.
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              The use of predicted confidence intervals when planning experiments and the misuse of power when interpreting results.

              Although there is a growing understanding of the importance of statistical power considerations when designing studies and of the value of confidence intervals when interpreting data, confusion exists about the reverse arrangement: the role of confidence intervals in study design and of power in interpretation. Confidence intervals should play an important role when setting sample size, and power should play no role once the data have been collected, but exactly the opposite procedure is widely practiced. In this commentary, we present the reasons why the calculation of power after a study is over is inappropriate and how confidence intervals can be used during both study design and study interpretation.
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                Author and article information

                Journal
                Arch Med Sci
                Arch Med Sci
                AMS
                Archives of Medical Science : AMS
                Termedia Publishing House
                1734-1922
                1896-9151
                29 May 2020
                2020
                : 16
                : 4
                : 727-741
                Affiliations
                [1 ]Department of Medicine and Cardiology Research, Westchester Medical Center and New York Medical College, New York, USA
                [2 ]Elsevier, Clinical Solutions, Philadelphia, USA
                Author notes
                Corresponding author: Tatyana A. Shamliyan MD, MS, Elsevier Clinical Solutions, 1600 Kennedy Blvd, 19103 Philadelphia, USA, Phone: 2675004863, E-mail: shamliyan.tatyana@ 123456gmail.com
                Article
                37323
                10.5114/aoms.2019.86928
                7286318
                32542073
                bef4d5e1-7038-403e-8ddc-b2989bbb1ae7
                Copyright © 2019 Termedia & Banach

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). License ( http://creativecommons.org/licenses/by-nc-sa/4.0/)

                History
                : 27 February 2018
                : 23 April 2018
                Categories
                Systematic review/Meta-analysis

                Medicine
                quality of evidence,cardiovascular morbidity,drug-induced qt prolongation,antidepressants

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