Evidence map›Paper›PMID 42447091›Full record

ArticlePLOS mental health2026

Association between the combination of GABAergic agents and SSRIs at the first clinical visit and depressive symptom trajectories: A study using group-based trajectory modeling and Apriori algorithm.

Bei Tang, Lu Jin, Hongxing Hu, Qinyu Lv, Zhenghui Yi, Yuelong Ji, Qizhong Yi

Abstract read
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Article in PLOS mental health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Bei TangDepartment of Maternal and Child Health, School of Public Health, Peking University, Beijing, China.ORCID https://orcid.org/0009-0002-7788-9226
Lu JinPsychological Medicine Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.
Hongxing HuPsychological Medicine Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.
Qinyu LvShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhenghui YiShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yuelong JiDepartment of Maternal and Child Health, School of Public Health, Peking University, Beijing, China.ORCID https://orcid.org/0000-0001-6901-5030
Qizhong YiPsychological Medicine Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depression is a leading cause of disability, with limited efficacy of current treatments: 30% - 40% of major depressive disorder patients fail first-line therapy, and relapse rates remain high. Combination pharmacotherapy shows promise, but real-world evidence on initial treatment strategies and longitudinal symptom trajectories is lacking. We conducted a longitudinal analysis of electronic health records from 1,876 patients who visited the Shanghai Mental Health Center between November 2021 and April 2023. Group-based trajectory modeling (GBTM) classified patients into subgroups based on PHQ-9 score trajectories. The Apriori algorithm identified common medication mechanism combinations for the first visit. Multinomial logistic regression evaluated associations between medication groups and trajectory subgroups. General linear modeling examined SDS score improvement. Network pharmacology was conducted as an exploratory analysis to investigate potential biological context. Three PHQ-9 trajectory groups were identified: Rapid Decline (29.96%), Gradual Decline (30.76%), and Worsening (39.28%). The Worsening Group had lower initial PHQ-9 scores but showed progressive severity elevation. Four medication mechanism combination groups were identified including GABAergic agents alone (GABA), selective serotonin reuptake inhibitors alone (SSRIs), GABA+SSRIs combination, and Others. GABA+SSRIs was the most frequent combination (31.02%). Compared with GABA+SSRIs, patients in the SSRIs group (OR adj, 1.809; 95% CI, 1.196 - 2.736) had significantly higher odds of belonging to the Worsening Group (P = 0.005). In the supplementary SDS analysis, GABA monotherapy was associated with significantly less symptom improvement than GABA+SSRIs (β = -1.790, 95% CI: -3.320, -0.258). Network analysis identified 33 intersecting targets between GABA+SSRIs and depression, enriched in neurotransmission and synaptic plasticity pathways. Overall, the combination of GABAergic agents and SSRIs at the first clinical visit was associated with a more favorable PHQ-9 trajectory group than SSRIs monotherapy. These findings may inform future prospective and mechanistic studies on medication mechanism combinations in depression treatment.

Identifiers

PMID42447091
PMCPMC13367733

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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.