University of Birmingham Medical School, University of Birmingham, Birmingham, B15 2TT, UK.
Institute of Clinical Sciences, University of Birmingham, Birmingham, B15 2TT, UK.
Sci Rep. 2022 Jan 21;12(1):1165. doi: 10.1038/s41598-022-05232-9.
Self-disorders have been proposed as the "clinical core" of the schizophrenia spectrum. This has been explored in recent studies using self-disorder assessment tools. However, there are few systematic discussions of their quality and utility. Therefore, a literature search was performed on Medline, Embase, PsychINFO, PubMed and the Web of Science. Studies using these assessment tools to explore self-disorders within schizophrenia spectrum disorders (SSDs) were included. A meta-analysis was performed on the outcomes of total self-disorder score and odds ratios of self-disorders, using Comprehensive Meta-Analysis software. Weighted pooled effect sizes in Hedge's g were calculated using a random-effects model. 15 studies were included, giving a sample of 810 participants on the schizophrenia spectrum. Self-disorders showed a greater aggregation within schizophrenia spectrum groups compared to non-schizophrenia spectrum groups, as measured with the Bonn Scale for the Assessment of Basic Symptoms (Hedge's g = 0.774, p < 0.01) and Examination of Anomalous Self-Experiences (Hedge's g = 1.604, p < 0.01). Also, self-disorders had a greater likelihood of occurring within SSDs (odds ratio = 5.435, p < 0.01). These findings help to validate self-disorders as a core clinical feature of the broad schizophrenia spectrum.
自我障碍被提出作为精神分裂症谱系的“临床核心”。最近的研究使用自我障碍评估工具对此进行了探讨。然而，关于它们的质量和效用的系统讨论很少。因此，对 Medline、Embase、PsychINFO、PubMed 和 Web of Science 进行了文献检索。纳入了使用这些评估工具探索精神分裂症谱系障碍（SSDs）内自我障碍的研究。使用 Comprehensive Meta-Analysis 软件对总自我障碍评分的结果和自我障碍的优势比进行了荟萃分析。使用随机效应模型计算了 Hedge 的 g 加权合并效应大小。纳入了 15 项研究，共纳入了 810 名精神分裂症谱系参与者。与非精神分裂症谱系组相比，精神分裂症谱系组的自我障碍表现出更大的聚集性，这可以通过 Bonn 基本症状评估量表（Hedge 的 g=0.774，p<0.01）和异常自我体验检查（Hedge 的 g=1.604，p<0.01）来衡量。此外，自我障碍在 SSD 中更有可能发生（优势比=5.435，p<0.01）。这些发现有助于验证自我障碍作为广泛精神分裂症谱系的核心临床特征。
