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...
Autori principali: | Gillett, G, Tomlinson, A, Efthimiou, O, Cipriani, A |
---|---|
Natura: | Journal article |
Lingua: | English |
Pubblicazione: |
Elsevier
2020
|
Documenti analoghi
Documenti analoghi
-
Personalise antidepressant treatment for unipolar depression combining individual choices, risks and big data (PETRUSHKA): rationale and protocol
di: Tomlinson, A, et al.
Pubblicazione: (2019) -
Personalise antidepressant treatment for unipolar depression combining individual choices, risks and big data (PETRUSHKA): rationale and protocol
di: Toshi A Furukawa, et al.
Pubblicazione: (2020-05-01) -
Pramipexole in the treatment of unipolar and bipolar depression. A systematic review and meta-analysis
di: Tundo, A, et al.
Pubblicazione: (2019) -
Pharmacological treatment for unipolar psychotic depression: Systematic review and meta-analysis.
di: Wijkstra, J, et al.
Pubblicazione: (2006) -
Antidepressants in unipolar major depression: what we need to know
di: Barber, S, et al.
Pubblicazione: (2016)