ArticleTrials2021
Clinical validation of a combinatorial PharmAcogeNomic approach in major Depressive disorder: an Observational prospective RAndomized, participant and rater-blinded, controlled trial (PANDORA trial).
Article in Trials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04615234 (Towards Precision Medicine in Psychiatry), which is not on this map. Cited by 6 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Towards Precision Medicine in Psychiatry: Clinical Validation of a Combinatorial Pharmacogenomic Approach.
Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Does pharmacogenetic testing optimize antidepressant effectiveness in major depressive disorder? Data from a double-blind randomized controlled trial in a real-world clinical setting.European psychiatry : the journal of the Association of European Psychiatrists · 2025Trial
- Psychiatric pharmacogenomics: from genetic evidence to clinical integration - structural, educational, and ethical challenges.Frontiers in pharmacology · 2026Review
- Polygenic scores and antidepressant treatment outcomes in major depression: a critical integrative review.Neuroscience applied · 2025Article
- Biomarkers in the Diagnosis and Prediction of Medication Response in Depression and the Role of Nutraceuticals.International journal of molecular sciences · 2024Review
- Genetic diversity of cytochrome P450 in patients receiving psychiatric care in Greece: a step towards clinical implementation.Pharmacogenomics · 2024Article
- The role of pharmacogenetics in the treatment of major depressive disorder: a critical review.Frontiers in psychiatry · 2023Review
Corrections and comments
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Authors and funding
17 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundMajor depressive disorder (MDD) is a common, chronic, debilitating mood disorder that causes serious functional impairment and significantly decreased quality of life. Pharmacotherapy represents the first-line treatment option; however, only approximately one third of patients respond to the first treatment because of the ineffectiveness or side effects of antidepressants. Precision medicine in psychiatry might offer clinicians the possibility to tailor treatment according to the best possible evidence of efficacy and tolerability for each subject. In this context, our study aims to carry out a clinical validation of a combinatorial pharmacogenomics (PGx) test in an Italian MDD patient cohort with advocacy license independence.
methodsOur study is a prospective participant- and rater-blinded, randomized, controlled clinical observational trial enrolling 300 MDD patients who are referred to psychiatric services to receive a new antidepressant due to the failure of their current treatment and/or the onset of adverse effects. Eligible participants are randomized to the TGTG group (Treated with Genetic Test Guide) or TAU group (Treated as Usual). For all subjects, DNA is collected with a buccal brush. The primary outcome is the reduction in depressive symptomatology. The secondary outcomes involve a range of scales that assess MDD symptoms and social functioning outcomes. The assessment is performed at four timepoints: baseline and 4, 8, and 12 weeks. DISCUSSION: This project represents the first randomized controlled clinical trial to investigate whether a non-commercial PGx test improves outcomes in an MDD naturalistic cohort. Moreover, the identification of new genetic variants associated with non-response or side effects will improve the efficacy of the test, leading to further cost-saving. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov NCT04615234. Registered on November 4, 2020.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.