Evidence map›Paper›PMID 39538330›Full record

ArticleAnnals of general psychiatry2024

Clinical patterns of metabolic syndrome in young, clinically stable, olanzapine-exposed patients with schizophrenia.

Jun Ma, Lin Zhang, Zhengyuan Huang, Gaohua Wang

Abstract read
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Article in Annals of general psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jun MaDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Lin ZhangDepartment of Psychiatry, Wuhan Mental Health Center, Wuhan, China.
Zhengyuan HuangDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Gaohua WangDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China. wgh6402@whu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSchizophrenia (SCZ) is a chronic, disabling mental illness with a high disease burden and is often comorbid with metabolic syndrome (MetS). The aim of this study was to determine the prevalence of MetS in young, clinically stable, olanzapine-exposed patients with SCZ and to explore predictive factors affecting the development and severity of MetS.

methodsA total of 274 patients with SCZ who met the inclusion criteria were enrolled in this study, and their demographic data and general clinical information were collected. Concurrently, patients were assessed for psychopathology, illness severity, and antipsychotic drug-related adverse effects.

resultsThe prevalence of MetS in the target population was 35.77%, and the MetS subtype of abdominal obesity + high triglycerides + low level of high-density lipoprotein cholesterol accounted for the majority of patients in the MetS subgroup. Binary logistic regression showed that body mass index (BMI), uric acid (UA), thyroid-stimulating hormone, and QT-c interval could significantly and positively predict the development of MetS. Multiple linear regression showed that olanzapine concentration, BMI, and UA could significantly and positively predict higher MetS scores.

conclusionThis study reports the clinical patterns of MetS in young, clinically stable, olanzapine-exposed patients with SCZ and identifies the correlations influencing the development and severity of MetS. These findings could potentially be applied toward the prevention of and intervention in MetS.

Indexed as

Clinically stableMetabolic syndromeOlanzapineSchizophreniaYoung age

Identifiers

PMID39538330
PMCPMC11562516

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