Hoy Nicholas, Lynch Samantha, Waszczuk Monika, Reppermund Simone, Mewton Louise
Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia.
The Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, NSW, Australia.
Front Psychiatry. 2022 Nov 3;13:1036794. doi: 10.3389/fpsyt.2022.1036794. eCollection 2022.
Research using latent variable modelling has identified a superordinate general dimension of psychopathology, as well as several specific/lower-order transdiagnostic dimensions (e.g., internalising and externalising) within the meta-structure of psychiatric symptoms. These models can facilitate discovery in genetic and neuroscientific research by providing empirically derived psychiatric phenotypes, offering greater validity and reliability than traditional diagnostic categories. The prospective review outlined in this protocol aims to integrate and assess evidence from research investigating the biological correlates of general psychopathology and specific/lower-order transdiagnostic symptom dimensions. Cross-sectional and longitudinal studies investigating general population samples of any age group or developmental period will be included to capture evidence from across the lifespan.
MEDLINE, Embase, and PsycINFO databases will be systematically searched for relevant literature. The review will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Eligibility criteria were designed to capture psychiatric genetic (i.e., molecular genetic and genomic) and neuroimaging (i.e., brain structural and brain functional) studies investigating latent transdiagnostic dimension(s) or structural model(s) of psychopathology across any age group. Studies which include or exclude participants based on clinical symptoms, disorders, or relevant risk factors (e.g., history of abuse, neglect, and trauma) will be excluded. Biometric genetic research (e.g., twin and family studies), candidate gene studies, neurophysiology studies, and other non-imaging based neuroscientific studies (e.g., post-mortem studies) will be excluded. Study quality and risk of bias will be assessed using the Joanna Briggs Checklist for Analytical Cross-Sectional Studies, the Joanna Briggs Checklist for Cohort Studies, and the Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) system. Meta-analysis will be conducted if sufficient data is available.
This protocol outlines the first systematic review to examine evidence from studies investigating the latent structure and underlying biology of psychopathology and to characterise these relationships developmentally across the lifespan. The prospective review will cover a broad range of statistical techniques and models used to investigate latent transdiagnostic dimensions of psychopathology, as well as a numerous genetic and neuroscientific methods.
[https://www.crd.york.ac.uk/prospero/], identifier[CRD42021262717].
使用潜变量建模的研究已经确定了精神病理学的一个上级通用维度,以及在精神症状的元结构中的几个特定/低阶跨诊断维度(例如,内化和外化)。这些模型可以通过提供基于经验得出的精神疾病表型,促进基因和神经科学研究中的发现,比传统诊断类别具有更高的有效性和可靠性。本方案中概述的前瞻性综述旨在整合和评估来自研究一般精神病理学以及特定/低阶跨诊断症状维度的生物学相关性的研究证据。将纳入调查任何年龄组或发育阶段的一般人群样本的横断面和纵向研究,以获取整个生命周期的证据。
将系统检索MEDLINE、Embase和PsycINFO数据库中的相关文献。该综述将遵循系统评价和元分析的首选报告项目(PRISMA)指南。纳入标准旨在涵盖调查任何年龄组精神病理学的潜在跨诊断维度或结构模型的精神病学遗传学(即分子遗传学和基因组学)和神经影像学(即脑结构和脑功能)研究。基于临床症状、疾病或相关风险因素(例如,虐待、忽视和创伤史)纳入或排除参与者的研究将被排除。生物统计学遗传学研究(例如,双胞胎和家庭研究)、候选基因研究、神经生理学研究以及其他基于非影像学的神经科学研究(例如,尸检研究)将被排除。将使用乔安娜·布里格斯分析性横断面研究清单、乔安娜·布里格斯队列研究清单以及推荐分级、评估、制定和评价(GRADE)系统来评估研究质量和偏倚风险。如果有足够的数据,将进行元分析。
本方案概述了第一项系统综述,以检查来自研究精神病理学的潜在结构和潜在生物学的研究证据,并在整个生命周期中对这些关系进行发育特征描述。前瞻性综述将涵盖用于研究精神病理学潜在跨诊断维度的广泛统计技术和模型,以及众多基因和神经科学方法。