Predicting treatment effects in unipolar depression: A meta-review
There is increasing interest in clinical prediction models in psychiatry, which focus on developing multivariate algorithms to guide personalized diagnostic or management decisions. The main target of these models is the prediction of treatment response to different antidepressant therapies. This is...
Main Authors: | Gillett, G, Tomlinson, A, Efthimiou, O, Cipriani, A |
---|---|
Format: | Journal article |
Language: | English |
Published: |
Elsevier
2020
|
Similar Items
-
Personalise antidepressant treatment for unipolar depression combining individual choices, risks and big data (PETRUSHKA): rationale and protocol
by: Tomlinson, A, et al.
Published: (2019) -
Personalise antidepressant treatment for unipolar depression combining individual choices, risks and big data (PETRUSHKA): rationale and protocol
by: Toshi A Furukawa, et al.
Published: (2020-05-01) -
Pramipexole in the treatment of unipolar and bipolar depression. A systematic review and meta-analysis
by: Tundo, A, et al.
Published: (2019) -
Pharmacological treatment for unipolar psychotic depression: Systematic review and meta-analysis.
by: Wijkstra, J, et al.
Published: (2006) -
Antidepressants in unipolar major depression: what we need to know
by: Barber, S, et al.
Published: (2016)