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Browse 3,654 clinical trials for depression. Find studies that match your criteria and connect with research centers.
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NCT03993457
PRECISE-D is a single site, randomized, open label 8-week clinical trial that will enroll 70 participants to evaluate if the level of inflammation in our body can predict how we will respond to antidepressants. C-reactive protein (CRP) is a substance in the body that is associated with inflammation. Previous research has suggested that people with high CRP (i.e., high inflammation levels) tend to have greater improvement of depressive symptoms with an antidepressant called bupropion, while individuals with low CRP (i.e., low inflammation levels) appear to have more benefit from selective serotonin reuptake inhibitors antidepressants (SSRI), such as escitalopram. However, it is not completely clear if CRP can predict your response to these two antidepressants. Participants will undergo a screening visit that includes a physical exam, overall health evaluation, assessment of mental health history, and a toxicology and pregnancy test. Once screening is complete, participants will be randomized to one of two groups that will determine whether their CRP levels will be used to select which antidepressant they will receive. Participants will then complete 4 follow up visits at weeks 2, 4, 6, and 8. A follow-up phone call from the study team will occur at week 12.
NCT05816018
This project aims to improve the health care provided to people with major depressive disorder (MDD), a disease which is a top cause of disability worldwide. One of the main obstacles to a more effective health care in these patients is represented by clinical heterogeneity, which has not completely elucidated biological correlates. Using a large sample of people with MDD already recruited (n=29,400), the investigators develop a clustering algorithm based on genetic-environmental and brain imaging predictors aimed at identifying homogeneous MDD subgroups. The researchers will then link these subgroups with relevant health outcomes, such as disease recurrency and severity, well-being and functioning, risk of psychiatric and medical comorbidities (e.g. cardiovascular disorders). Replication in independent samples already recruited(n=1380) will prove the validity of the subgroups and expand their clinical characterization. The investigators will develop a classification tool to link the individual's characteristics to the relevant health outcomes and provide corresponding clinical recommendations. The prognostic support tool will be applied to newly recruited samples, feasibility and usefulness according to clinicians's opinion will be assessed (n=120, ongoing recruitment).