Effectiveness of a Pharmacogenetic Tool at Improving Treatment Efficacy in Major Depressive Disorder: A Meta-Analysis of Three Clinical Studies
Overview
Affiliations
Several pharmacogenetic tests to support drug selection in psychiatric patients have recently become available. The current meta-analysis aimed to assess the clinical utility of a commercial pharmacogenetic-based tool for psychiatry (Neuropharmagen) in the treatment management of depressive patients. Random-effects meta-analysis of clinical studies that had examined the effect of this tool on the improvement of depressive patients was performed. Effects were summarized as standardized differences between treatment groups. A total of 450 eligible subjects from three clinical studies were examined. The random effects model estimated a statistically significant effect size for the pharmacogenetic-guided prescription ( = 0.34, 95% CI = 0.11-0.56, -value = 0.004), which corresponded to approximately a 1.8-fold increase in the odds of clinical response for pharmacogenetic-guided vs. unguided drug selection. After exclusion of patients with mild depression, the pooled estimated effect size increased to 0.42 (95% CI = 0.19-0.65, -value = 0.004, = 287), corresponding to an OR = 2.14 (95% CI = 1.40-3.27). These results support the clinical utility of this pharmacogenetic-based tool in the improvement of health outcomes in patients with depression, especially those with moderate-severe depression. Additional pragmatic RCTs are warranted to consolidate these findings in other patient populations.
Tesfamicael K, Zhao L, Fernandez-Rodriguez R, Adelson D, Musker M, Polasek T Front Psychiatry. 2024; 15:1276410.
PMID: 39086729 PMC: 11289719. DOI: 10.3389/fpsyt.2024.1276410.
Knowledge and attitudes on implementing cardiovascular pharmacogenomic testing.
Russell C, Campion M, Grove M, Matsuda K, Klein T, Ashley E Clin Transl Sci. 2024; 17(3):e13737.
PMID: 38421234 PMC: 10903329. DOI: 10.1111/cts.13737.
Sideridis G, Alkhadim G Front Psychiatry. 2022; 13:888065.
PMID: 36304565 PMC: 9595594. DOI: 10.3389/fpsyt.2022.888065.
Skryabin V, Rozochkin I, Zastrozhin M, Lauschke V, Franck J, Bryun E Pharmacogenomics J. 2022; 23(2-3):45-49.
PMID: 36273107 DOI: 10.1038/s41397-022-00295-3.
Genetic Variations Associated with Long-Term Treatment Response in Bipolar Depression.
Anmella G, Vilches S, Espadaler-Mazo J, Murru A, Pacchiarotti I, Tuson M Genes (Basel). 2021; 12(8).
PMID: 34440433 PMC: 8391230. DOI: 10.3390/genes12081259.