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Personalise antidepressant treatment for unipolar depression combining individual choices, risks and big data (PETRUSHKA): rationale and protocol

Abstract:

Introduction: Matching treatment to specific patients is too often a matter of trial and error, while treatment efficacy should be optimised by limiting risks and costs and by incorporating patients’ preferences. Factors influencing an individual’s drug response in major depressive disorder may include a number of clinical variables (such as previous treatments, severity of illness, concomitant anxiety etc) as well demographics (for instance, age, weight, social support a... Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.1136/ebmental-2019-300118

Authors


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Institution:
University of Oxford
Department:
Psychiatry
Role:
Author
More by this author
Role:
Author
ORCID:
0000-0002-0955-7572
More by this author
Institution:
University of Oxford
Department:
Psychiatry
Department:
Unknown
Role:
Author
ORCID:
0000-0002-2478-7763
Publisher:
BMJ Publishing Group
Journal:
Evidence-Based Mental Health More from this journal
Volume:
23
Issue:
2
Pages:
52-56
Publication date:
2019-10-23
Acceptance date:
2019-09-20
DOI:
EISSN:
1468-960X
ISSN:
1362-0347
Pmid:
31645364
Language:
English
Keywords:
Pubs id:
pubs:1064759
UUID:
uuid:a7e1e8ed-cfe7-4251-af44-65060b001223
Local pid:
pubs:1064759
Source identifiers:
1064759
Deposit date:
2019-11-12

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