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Clinical Trials About "Identifying Predictors Of Response To Antipsychotics Using A Treatment Algorithm" RSS

11:37 EDT 23rd March 2019 | BioPortfolio

We list hundreds of Clinical Trials about "Identifying Predictors Of Response To Antipsychotics Using A Treatment Algorithm" on BioPortfolio. We draw our references from global clinical trials data listed on ClinicalTrials.gov and refresh our database daily.

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We have published hundreds of Identifying Predictors Of Response To Antipsychotics Using A Treatment Algorithm news stories on BioPortfolio along with dozens of Identifying Predictors Of Response To Antipsychotics Using A Treatment Algorithm Clinical Trials and PubMed Articles about Identifying Predictors Of Response To Antipsychotics Using A Treatment Algorithm for you to read. In addition to the medical data, news and clinical trials, BioPortfolio also has a large collection of Identifying Predictors Of Response To Antipsychotics Using A Treatment Algorithm Companies in our database. You can also find out about relevant Identifying Predictors Of Response To Antipsychotics Using A Treatment Algorithm Drugs and Medications on this site too.

Showing "Identifying Predictors Response Antipsychotics Using Treatment Algorithm" Clinical Trials 1–25 of 28,000+

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Identifying Predictors of Response to Antipsychotics Using a Treatment Algorithm

The objective of this study is to evaluate predictors of response to antipsychotic medication in subjects with schizophrenia. The investigators will evaluate psychopathology,brain MRI, genetics and neuropsychological profile. Two groups of treatment will be compared: first generation antipsychotics vs. second generation antipsychotics. Participants will be randomized to one of the groups. Trial duration: 12 weeks.


Early Predictors of Poor Treatment Response in Patients With Schizophrenia Treated With Atypical Antipsychotics

Background: The aims of this study were to explore the relationship between early reduction in psychotic symptoms and the ultimate response in patients with schizophrenia treated by atypical antipsychotics, and to determine the best time to switch or maitain the regimen. PI also explore the possible predictors for the clinical response. Methods: One hundred eleven inpatients with acutely exacerbated schizophrenia were randomized to give optimal therapy of olanzapine, risperido...

Deprescribing Antipsychotics in Long-Term Care

Aggressive behaviours in long-term care (LTC) is a difficult health care issue to manage. One method that has been over-used is the prescription of antipsychotics for the behaviours and psychological symptoms of dementia (BPSD). This high prevalence of use is a recognized health care problem in Ontario and around the world; increased antipsychotics use is associated with increased falls and mortality. Existing strategies are educational in nature and are not systematic; the goa...


Tolerance and Effect of Antipsychotics in Children and Adolescents With Psychosis

The benefits and harms of antipsychotics are relatively well studied in adults. However, there is a lack of scientifically valid studies regarding the benefits and harms of antipsychotics in children and adolescents with psychosis. The main objective of the TEA trial is to compare the efficacy and adverse reactions of two antipsychotics (quetiapine versus aripiprazole) in children and adolescents between 12-17 years of age with psychotic symptoms on psychopathology, cognitive ...

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EEG Biomarkers for Predicting Response to Antidepressant Therapy

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 confirm accuracy of current EEG biomarker algorithm - Determine preferred clinical intervention for subjects with negative indicator - Identify predictors of worsening suicide ideation

Observational Study on Predictors of Response to Invirase (Saquinavir) Treatment in Treatment-naïve Patients With HIV Infection

This prospective observational study will evaluate predictors of response to Invirase (saquinavir) treatment in treatment-naïve patients with HIV infection. Data will be collected during 48 weeks of treatment.

Predictors of Response to Treatment for Depression

The current study will examine neurophysiological, specifically event-related potential (ERP), measures of emotional processing as predictors of response to cognitive behavior therapy for adolescent depression.

Neuroimaging Predictors of Improvement to Pivotal Response Treatment (PRT) in Young Children With Autism

Autism spectrum disorder (ASD) is a very heterogeneous disorder with limited empirically validated behavioral and biological interventions. The goal of this pilot investigation is to apply a biologically-based approach to identify predictors of treatment response in children with ASD who are receiving Pivotal Response Treatment (PRT), an evidence-based behavioral intervention. Specifically, the investigators propose to identify neuroimaging biomarkers of treatment response to a...

Prediction of Treatment Response at 6 Months by Combinatorial Analysis of Serum Biomarkers in Biotherapy Naive SpA

The main objective of this trial is to search for biomarkers associated with the success of adalimumab treatment in order to generate an algorithm to predict the response to this treatment at 6 months in spondyloarthritis and to define its metrological properties on this cohort. The algorithm will allow to better target patients who will have an important benefit/risk ratio for adalimumab treatment.

Prognostic Predictors of Response to Hypoglycemic Therapy

This is a randomized controlled trial aimed to determine highly specific personified predictors of response to the therapy by different groups of hypoglycemic drugs (SGLT-2 inhibitors, DPP-4 inhibitors, GLP-1 receptor agonists, sulfonylureas) in patients with type 2 diabetes mellitus, develop an algorithm of personalized therapy based on them, design an organizational and methodological model for prevention of the cardiovascular complications, and create an automated decision-m...

INFLACOR - Genetic and Physiologic Predictors of Inflammation Related Complications After Heart Surgery

The aim of the study is to evaluate a clinically and economically most effective diagnostic algorithm for prediction of inflammatory response related complications in patients undergoing heart surgery with use of cardiopulmonary bypass.

Effects of Exposed to Antipsychotics Throughout Pregnancy on Infants Development: A Prospective Study

The primary aim of this prospective study is to evaluate the effect of antipsychotics on infant development especially neurobehavioral development which evaluated by the Bayley-III when mothers are treated with antipsychotics throughout their pregnancy.

A PK/PD Genetic Variation Treatment Algorithm Versus Treatment As Usual for Adolescent Management Of Depression

The overall goal of this investigator-initiated trial is to evaluate the impact of platform algorithm products designed to rapidly identify pharmacokinetic (PK) and/or pharmacodynamic (PD) genomic variation on treatment outcome of depression in adolescents. This new technology may have the potential to optimize treatment selection by improving response, minimizing unfavorable adverse events / side effects and increasing treatment adherence

Prediction of the Answer to the Treatment by Biotherapies for Naive Spondyloarthritis by Combinatorial Analysis of Serum Biomarkers

The aim of this trial is the caracterisation of a predicting algorithm of the answering response for patients with etanercept treatment in spondyloarthritis disease. This algorithm will help to target patients patients who have a risk / benefit important for etanercept treatment.

Very Rapid and Rapid Virological Response as Predictors of Response of HCV Tretment

assessment of very rapid virological response and rapid virological response as predictors of response to sofosbuvir and daclatasvir in treatment of cirrhotic and non-cirrhotic patients with HCV, eligible to treatment.

A Pharmacokinetic/Pharmacodynamic Genetic Variation Treatment Algorithm Versus Treatment As Usual for Management Of Depression

The overall goal of this investigator-initiated trial is to evaluate the treatment outcome of depression utilizing platform algorithm products that can allow rapid identification of pharmacokinetic (PK) and/or pharmacodynamic (PD) genomic variation. This new technology may have the potential to optimize treatment selection by improving response, minimizing unfavorable adverse events / side effects and increasing treatment adherence.

PROPHESYS 3: Observational Study on Predictors of Response in Patients With Treatment-naïve Chronic Hepatitis C Initiated on Treatment With Pegasys (Peginterferon Alfa-2a) or Peginterferon-alfa-2b

This observational study will assess predictors of early on-treatment and sustained virological response in treatment-naïve patients with chronic hepatitis C initiated on treatment with Pegasys (peginterferon alfa-2a) or peginterferon alfa-2b and ribavirin. Data will be collected during the treatment period (24 or 48 weeks) and 12 and 24 weeks after the end of treatment. Target sample size is

PROPHESYS 1: An Observational Study on Predictors of Response in Treatment-naïve Patients With Chronic Hepatitis C Treated With Pegasys (Peginterferon Alfa-2a)

This observational study will assess predictors of early on-treatment and sustained virological response in treatment-naïve patients with chronic hepatitis C initiated on treatment with Pegasys (peginterferon alfa-2a) and ribavirin. Data will be collected during the treatment period (24 or 48 weeks) and 12 and 24 weeks after the end of treatment. Target sample size is

An Observational Study to Describe the Adherence to the SEOM Algorithm for the Treatment of Hyponatraemia in Spain

In 2014, the Spanish Sociedad Española de Oncología Médica (SEOM) algorithm for the treatment of hyponatraemia secondary to to syndrome of inappropriate antidiuretic hormone (SIADH) in oncology patients was developed. Since it is hypothesised that the adherence to the SEOM algorithm is not 100%, the current retrospective non-interventional study will investigate the perceived and actual adherence of participating centres to the SEOM algorithm and its impact on patient outcom...

An Examination of Predictors of Indicators of Response to Letrozole 2.5 mg

To assess the quantitative real time PCR results of oligonucleotide probes for a number of gene transcription products that may be useful as predictors or indicators of response to letrozole

Trial of a Treatment Algorithm for the Management of Crohn's Disease

Assess if the implementation of a treatment algorithm will improve the management of Crohn's disease (CD) in comparison to usual care based gastroenterology practices.

CORE: Study to Evaluate the Conducted AF-Response-Algorithm in Patients Suffering From Heart Failure and Atrial Fibrillation

The Medtronic InSync III Marquis Cardiac Resynchronization Therapy Defibrillator (CRT-D)-System (implantable cardioverter-defibrillator with biventricular stimulation for cardiac resynchronization) is equipped with the "Conducted-Atrial Fibrillation (AF)-Response-Algorithm (CAFR)". This algorithm is designed to maximize biventricular stimulation and thus the amount of cardiac resynchronization when atrial fibrillation occurs. The goal of the study is the evaluation of the effec...

Characterization of the Use of Antipsychotics in Posttraumatic Stress Disorder During the Past Decade

The main purpose is to show the percentage of patients taking antipsychotics with PTSD by looking at approximately ten year’s worth of data from 1994 through 2004. We will also determine the type and dose of antipsychotics the patients received, and to determine how many of those patients had psychotic versus nonpsychotic symptoms. We will be obtaining this data from the VISN 7 Corporate Data Warehouse. We hypothesize that there has been an overall increase in antipsychoti...

A Proof of Activity Study to Evaluate the Effects of TAK-041 on Motivational Anhedonia as Add-On to Second Generation Antipsychotics in Participants With Stable Schizophrenia

The purpose of the study is to determine whether motivation/reward deficits observed in schizophrenia are attenuated by add-on TAK-041 administration to second generation antipsychotics (SGA) in participants with stable schizophrenia.

IN-TANDEM Familial Hypercholesterolemia Pilot Study

The purpose of this study is to validate the use of an algorithm as a clinical decision support tool for identifying potential cases of familial hypercholesterolemia (FH) from electronic health record (EHR) systems for further screening. The algorithm will be tested in adults with at least one cardiovascular comorbidity. Study subjects will be asked to provide either a saliva, buccal or venous blood sample for DNA and biomarker analysis.


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