Observational studyTranslational psychiatry2026
Exploring the intricate interplay between metabolic abnormalities and multidimensional cognitive impairment in stable schizophrenia patients.
Observational study in Translational psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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Who cites it
1 citing paper in PubMed.
- Suicidal ideation and cognitive function: a comparative study in adolescents with unipolar versus bipolar depression.European archives of psychiatry and clinical neuroscience · 2026Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
Cognitive deficits across multiple domains are prevalent in patients with schizophrenia (PWS), and metabolic syndrome (MetS) may significantly contribute to this impairment. To clarify the complex relationships between individual MetS components and multidimensional cognitive dysfunction in PWS, we conducted a multicenter study involving 727 clinically stable patients recruited from ten psychiatric hospitals. Cognitive function was assessed using the Chinese Brief Cognitive Test (C-BCT). We employed network analysis and structural equation modeling (SEM) to explore these associations, with machine learning techniques applied for further validation. The results revealed statistically significant differences in several cognitive domains between patients with and without dyslipidemia (DL). Patients with hypertension (HT) also exhibited overall poorer cognitive performance. Network analysis indicated meaningful distinctions between patients presenting two or more MetS components (MetS-2+) and those without, showing a sparser network configuration in the MetS-2+ group. Across both groups, the Symbol Coding task demonstrated the highest strength centrality. SEM indicated that metabolic indicators, specifically DL and HT, mediated the relationship between clinical symptoms and cognitive function. Furthermore, a transformer-based machine learning model performed effectively in predicting cognitive dimensions, supporting the predictive utility of MetS components for multidimensional cognitive outcomes. In summary, specific MetS components, particularly DL and HT, show intricate associations with cognitive function in stable-phase PWS. Our findings suggest that management of HT in this population may represent a potential pathway for cognitive enhancement and improved social functioning. Trial registration: MR-11-23-007343.
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