Introduction: In recent years, the consumption of antidepressants has arisen. However, deprescribing antidepressant therapy is very complicated. The aim of this study was to implement practical recommendations for the development of guidelines to be used for antidepressant deprescription in clinical practice.
Materials And Methods: The literature search has been conducted on March 13, 2023, using Scopus and PubMed databases. The following search string has been used: "antidepressants AND (deprescribing OR deprescription)". All studies reporting a deprescribing intervention for antidepressant medication, regardless of the study design, have been included. Studies that did not report antidepressant drug deprescription interventions and non-English-language papers have been excluded.
Results: From the literature search, a total of 230 articles have been extracted. Applying the exclusion criteria, 26 articles have been considered eligible. Most of the analyzed studies (16, 61%) have been carried out in the real world, 3 (11%) were RCTs, 5 (19%) were qualitative studies, in particular expert opinions, 1 (4%) was a literature review, and 1 (4%) was a post-trial observational follow-up of an RCT. In 8 out of 26 studies (31%), the analyzed antidepressants have been specified: 2 (8%) focused on anticholinergics, 2 (8%) on SSRIs, 3 (11%) on tricyclic antidepressants, and 1 (4%) on esketamine. Nineteen out of 26 studies (73%) did not stratify antidepressants by therapeutic class. The sample sizes analyzed in the studies ranged from a minimum of 4 patients to a maximum of 113,909, and 12 studies included geriatric age as an inclusion criterion. A patient's therapy review has been the main deprescribing intervention, and it has been identified in 14 (54%) articles. Interventions have been carried out by clinicians in 4 (15%) studies, general practitioners in 5 (19%) studies, nurses in 2 (8%) studies, pharmacists in 4 (15%) studies, multidisciplinary teams in 10 (38%) studies, and patients in 1 (4%) study.
Conclusions: From the literature review, it emerged that there is no clear evidence useful to support clinicians in antidepressant deprescribing interventions.
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http://dx.doi.org/10.1007/s00228-023-03617-x | DOI Listing |
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Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.
Abscisic acid (ABA) is a crucial phytohormone that regulates plant growth and stress responses. While substantial knowledge exists about transcriptional regulation, the molecular mechanisms underlying ABA-triggered translational regulation remain unclear. Recent advances in deep sequencing of ribosome footprints (Ribo-seq) enable the mapping and quantification of mRNA translation efficiency.
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Digital health platforms for asthma self-management have demonstrated promise in improving clinical and quality of life outcomes. However, few studies have examined such an approach in a real-world, fully remote setting. As such, we evaluated the benefit of an evidence-based digital self-management platform for asthma-both on its own and when integrated into an established virtual clinical service.
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