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The heterogeneity of symptoms and complex etiology of depression pose a significant challenge to the personalization of treatment. Meanwhile, the current application of generic treatment approaches to patients with vastly differing biological and clinical profiles is far from optimal. Here, we conduct a meta-review to identify predictors of response to antidepressant therapy in order to select robust input features for machine learning models of treatment response. These machine learning models will allow us to learn associations between patient features and treatment response which have predictive value at the individual patient level; this learning can be optimized by selecting high-quality input features for the model. While current research is difficult to directly apply to the clinic, machine learning models built using knowledge gleaned from current research may become useful clinical tools.
This article was published in the following journal.
Name: Journal of affective disorders
There are currently no reliable approaches for correctly identifying which patients with major depressive disorder (MDD) will respond well to antidepressant therapy. However, recent genetic advances s...
The aim of current study was to conduct a systematic review and meta-analysis to explore the relationship between antidepressant use and glaucoma.
Patients with major depressive disorder (MDD) often experience a re-emergence or worsening of symptoms despite ongoing treatment with previously effective antidepressant pharmacotherapy. This lost or ...
Sepsis is the most common critical illness in the clinic, with a high incidence and mortality. Qingwen Baidu decoction (QWBDD) has been widely applied in the treatment of sepsis, however, there is no ...
Transcutaneous auricular vagus nerve stimulation (taVNS), as a noninvasive intervention, has beneficial effects on major depressive disorder based on clinical observations. However, the potential bene...
This is a retrospective chart review study to determine if Deplin® 7.5mg-15mg combined with an antidepressant is better than an antidepressant alone in adults with major depression.
Objective: The investigators aim to evaluate the impact of a " limitations " section in systematic review's abstract on results' interpretation by readers. Design: Randomized ratio 1:1 c...
This project involved a systematic literature review of published trials of cereal or grain in relation to the risk of gastric cancer. Data was extracted from the publications on PubMed, E...
Serum cholesterol is a major modifiable risk factor for cardiovascular disease, which despite considerable reduction in prevalence, remains the leading cause of premature mortality worldwi...
The purpose of this study is to evaluate the potential early EEG predictors of an individual's response to treatment with antidepressant medications. Objectives: - Prospectively...
Meta-analysis of randomized trials in which estimates of comparative treatment effects are visualized and interpreted from a network of interventions that may or may not have been evaluated directly against each other. Common considerations in network meta-analysis include conceptual and statistical heterogeneity and incoherence.
Review of the medical necessity of hospital or other health facility admissions, upon or within a short time following an admission, and periodic review of services provided during the course of treatment.
Failure to respond to two or more trials of antidepressant monotherapy or failure to respond to four or more trials of different antidepressant therapies. (Campbell's Psychiatric Dictionary, 9th ed.)
Methods to determine in patients the nature of a disease or disorder at its early stage of progression. Generally, early diagnosis improves PROGNOSIS and TREATMENT OUTCOME.
Multi-step systematic review process used for improving safety by investigation of incidents to find what happened, why it happened, and to determine what can be done to prevent it from happening again.
Clinical Approvals Clinical Trials Drug Approvals Drug Delivery Drug Discovery Generics Drugs Prescription Drugs In the fields of medicine, biotechnology and pharmacology, drug discovery is the process by which drugs are dis...
Biological therapy involves the use of living organisms, substances derived from living organisms, or laboratory-produced versions of such substances to treat disease. Some biological therapies for cancer use vaccines or bacteria to stimulate the body&rs...