Symptom Cluster-Matching Antidepressant Treatment: A Case Series Pilot Study
Despite treating depression with antidepressants, their effectiveness is often insufficient. Comparative effectiveness studies and meta-analyses show the effectiveness of antidepressants; however, they do not provide clear indications as to the choice of a specific antidepressant. The rational choic...
Main Authors: | Sławomir Murawiec, Marek Krzystanek |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-05-01
|
Series: | Pharmaceuticals |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8247/14/6/526 |
Similar Items
-
Machine Learning-Based Definition of Symptom Clusters and Selection of Antidepressants for Depressive Syndrome
by: Il Bin Kim, et al.
Published: (2021-09-01) -
Too Much and Too Little: Antidepressant Treatment in Stroke Survivors during the First Year
by: Katja Werheid, et al.
Published: (2022-06-01) -
What Can Reinforcement Learning Models of Dopamine and Serotonin Tell Us about the Action of Antidepressants?
by: Denis C. L. Lan, et al.
Published: (2022-07-01) -
Impact of SAfinamide on Depressive Symptoms in Parkinson’s Disease Patients (SADness-PD Study): A Multicenter Retrospective Study
by: Esteban Peña, et al.
Published: (2021-02-01) -
Antidepressant-Like Activity of Myelophil via Attenuation of Microglial-Mediated Neuroinflammation in Mice Undergoing Unpredictable Chronic Mild Stress
by: Jin-Seok Lee, et al.
Published: (2019-06-01)