Pharmacological treatments in panic disorder in adults: a network meta-analysis
CONCLUSIONS: In terms of efficacy, SSRIs, SNRIs (venlafaxine), TCAs, MAOIs and BDZs may be effective, with little difference between classes. However, it is important to note that the reliability of these findings may be limited due to the overall low quality of the studies, with all having unclear or high risk of bias across multiple domains. Within classes, some differences emerged. For example, amongst the SSRIs paroxetine and fluoxetine seem to have stronger evidence of efficacy than sertraline. Benzodiazepines appear to have a small but significant advantage in terms of tolerability (incidence of dropouts) over other ...
Source: Cochrane Database of Systematic Reviews - November 28, 2023 Category: General Medicine Authors: Giuseppe Guaiana Nicholas Meader Corrado Barbui Simon Jc Davies Toshi A Furukawa Hissei Imai Sofia Dias Deborah M Caldwell Markus Koesters Aran Tajika Irene Bighelli Alessandro Pompoli Andrea Cipriani Sarah Dawson Lindsay Robertson Source Type: research
Pharmacological treatments in panic disorder in adults: a network meta-analysis
CONCLUSIONS: In terms of efficacy, SSRIs, SNRIs (venlafaxine), TCAs, MAOIs and BDZs may be effective, with little difference between classes. However, it is important to note that the reliability of these findings may be limited due to the overall low quality of the studies, with all having unclear or high risk of bias across multiple domains. Within classes, some differences emerged. For example, amongst the SSRIs paroxetine and fluoxetine seem to have stronger evidence of efficacy than sertraline. Benzodiazepines appear to have a small but significant advantage in terms of tolerability (incidence of dropouts) over other ...
Source: Cochrane Database of Systematic Reviews - November 28, 2023 Category: General Medicine Authors: Giuseppe Guaiana Nicholas Meader Corrado Barbui Simon Jc Davies Toshi A Furukawa Hissei Imai Sofia Dias Deborah M Caldwell Markus Koesters Aran Tajika Irene Bighelli Alessandro Pompoli Andrea Cipriani Sarah Dawson Lindsay Robertson Source Type: research
Machine Learning Prediction of Quality of Life Improvement During Antidepressant Treatment of Patients With Major Depressive Disorder: A STAR*D and CAN-BIND-1 Report
Conclusions: Machine learning can predict normative QoL after antidepressant treatment with similar performance to that of prior work predicting depressive symptom response and remission. These results suggest that QoL outcomes in MDD patients can be predicted with simple patient-rated measures and provide a foundation to further improve performance and demonstrate clinical utility.Trial Registration: ClinicalTrials.gov identifiers NCT00021528 and NCT01655706.PMID:37967350 | DOI:10.4088/JCP.23m14864 (Source: Journal of Clinical Psychiatry)
Source: Journal of Clinical Psychiatry - November 15, 2023 Category: Psychiatry Authors: Tejas Phaterpekar John-Jose Nunez Emma Morton Yang S Liu Bo Cao Benicio N Frey Roumen V Milev Daniel J M üller Susan Rotzinger Claudio N Soares Valerie H Taylor Rudolf Uher Sidney H Kennedy Raymond W Lam Source Type: research
Medication economic burden of antidepressant non-adherence in Spain
Conclusion: Reducing non-adherence to antidepressants is critical to improving clinical and economic outcomes. The implementation of interventions and standardized measures, including early detection indicators, is urgently needed. Antidepressants differ with regard to non-adherence and their cost, and this should be considered when prescribing this medication. The Medication Possession Ratio could be used by the healthcare provider and clinician to identify non-adherent patients for monitoring, and to take necessary corrective actions. (Source: Frontiers in Pharmacology)
Source: Frontiers in Pharmacology - November 14, 2023 Category: Drugs & Pharmacology Source Type: research
