Can C-reactive protein inform antidepressant medication selection in depressed outpatients? Findings from the CO-MED trial.
about
Peripheral biomarkers of major depression and antidepressant treatment response: Current knowledge and future outlooks.Accurately identifying patients who are excellent candidates or unsuitable for a medication: a novel approach.Imaging the role of inflammation in mood and anxiety-related disorders.Personalized Antidepressant Selection and Pathway to Novel Treatments: Clinical Utility of Targeting Inflammation.Platelet-Derived Growth Factor as an Antidepressant Treatment Selection Biomarker: Higher Levels Selectively Predict Better Outcomes with Bupropion-SSRI Combination.Interleukin 17 selectively predicts better outcomes with bupropion-SSRI combination: Novel T cell biomarker for antidepressant medication selection.Proteomics profiling reveals inflammatory biomarkers of antidepressant treatment response: Findings from the CO-MED trial.PTSD: the need to use emerging knowledge to improve systems of care and clinical practice in AustraliaAn Integrative Approach to Neuroinflammation in Psychiatric disorders and Neuropathic Pain
P2860
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P2860
Can C-reactive protein inform antidepressant medication selection in depressed outpatients? Findings from the CO-MED trial.
description
2017 nî lūn-bûn
@nan
2017年の論文
@ja
2017年論文
@yue
2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
@zh-tw
2017年论文
@wuu
2017年论文
@zh
2017年论文
@zh-cn
name
Can C-reactive protein inform ...... indings from the CO-MED trial.
@en
type
label
Can C-reactive protein inform ...... indings from the CO-MED trial.
@en
prefLabel
Can C-reactive protein inform ...... indings from the CO-MED trial.
@en
P2093
P2860
P1476
Can C-reactive protein inform ...... indings from the CO-MED trial.
@en
P2093
A John Rush
Abigail Soyombo
Abu Minhajuddin
Bharathi S Gadad
Bruce Grannemann
Madhukar H Trivedi
Manish K Jha
Taryn L Mayes
Tracy Greer
P2860
P304
P356
10.1016/J.PSYNEUEN.2017.01.023
P577
2017-01-24T00:00:00Z