ArticleBMC psychiatry2026
The clinical value of pharmacogenomics in the pharmacotherapy of common psychiatric disorders: a macroscopic analysis based on real-world data.
Article in BMC psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
backgroundPharmacogenomic (PGx) testing holds promise for personalized psychiatry, but its clinical utility in real-world inpatient settings remains inadequately established. Using real-world data, this study investigated whether PGx testing is associated with improved treatment outcomes in hospitalized patients with schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BD).
methodsA retrospective cohort study was conducted, enrolling inpatients with SCZ, MDD, and BD from January 2022 to March 2024. Patients were divided into a PGx group or a treatment-as-usual (TAU) group based on whether they received PGx testing. The primary outcomes were disease-specific scale scores (PANSS for SCZ; HAMD/HAMA for MDD; YMRS/HAMD for BD). Demographic characteristics, length of hospital stay, and hospitalization costs were also compared between the two groups.
resultsIn total, 3,942 patients were included (SCZ: 1,328; MDD: 1,143; BD: 1,471). Linear mixed model analyses revealed significant negative interaction effects between PGx testing and treatment duration across all three disorders (SCZ-PANSS: -0.86, p < 0.001; MDD-HAMD: -0.49, p < 0.001; MDD-HAMA: -0.32, p < 0.001; BD-YMRS: -0.25, p = 0.025; BD-HAMD: -0.39, p < 0.001). This indicates that symptom improvement over time was significantly faster in the PGx group. Furthermore, for MDD and BD, the PGx group had more severe baseline symptoms (MDD: HAMD score 2.77 points higher, p < 0.001; HAMA score 1.79 points higher, p < 0.001. BD: HAMD score 2.16 points higher, p < 0.001) and higher hospitalization costs (MDD: ¥8,730.06 higher, p < 0.001; BD: ¥2,902.78 higher, p = 0.025). Additionally, MDD patients in the PGx group had a significantly longer hospital stay (mean difference: 4.25 days, p = 0.02).
conclusionIn the real-world inpatient setting, PGx testing was associated with a steeper slope of clinical symptom improvement in patients with SCZ, MDD, and BD. It is important to note that PGx testing was used more often for patients with more severe baseline conditions who also required more healthcare resources. Nevertheless, PGx may help optimize treatment regimens and enhance therapeutic efficiency. Overall, these findings provide practical evidence supporting PGx as a useful clinical decision-support tool for hospitalized psychiatric patients. CLINICAL TRIAL NUMBER: Not applicable. This study is a retrospective observational study using real-world clinical data and did not involve a prospective intervention requiring trial registration.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.