Blood levels of glial fibrillary acidic protein for predicting clinical progression to Alzheimer's disease in adults without dementia: a systematic review and meta-analysis protocol.

Takashi Nihashi, Keita Sakurai, Takashi Kato, Yasuyuki Kimura, Kengo Ito, Akinori Nakamura, Teruhiko Terasawa
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Abstract

Background: There is urgent clinical need to identify reliable prognostic biomarkers that predict the progression of dementia symptoms in individuals with early-phase Alzheimer's disease (AD) especially given the research on and predicted applications of amyloid-beta (Aβ)-directed immunotherapies to remove Aβ from the brain. Cross-sectional studies have reported higher levels of cerebrospinal fluid and blood glial fibrillary acidic protein (GFAP) in individuals with AD-associated dementia than in cognitively unimpaired individuals. Further, recent longitudinal studies have assessed the prognostic potential of baseline blood GFAP levels as a predictor of future cognitive decline in cognitively unimpaired individuals and in those with mild cognitive impairment (MCI) due to AD. In this systematic review and meta-analysis, we propose analyzing longitudinal studies on blood GFAP levels to predict future cognitive decline.

Methods: This study will include prospective and retrospective cohort studies that assessed blood GFAP levels as a prognostic factor and any prediction models that incorporated blood GFAP levels in cognitively unimpaired individuals or those with MCI. The primary outcome will be conversion to MCI or AD in cognitively unimpaired individuals or conversion to AD in individuals with MCI. Articles from PubMed and Embase will be extracted up to December 31, 2023, without language restrictions. An independent dual screening of abstracts and potentially eligible full-text reports will be conducted. Data will be dual-extracted using the CHeck list for critical appraisal, data extraction for systematic Reviews of prediction Modeling Studies (CHARMS)-prognostic factor, and CHARMS checklists, and we will dual-rate the risk of bias and applicability using the Quality In Prognosis Studies and Prediction Study Risk-of-Bias Assessment tools. We will qualitatively synthesize the study data, participants, index biomarkers, predictive model characteristics, and clinical outcomes. If appropriate, random-effects meta-analyses will be performed to obtain summary estimates. Finally, we will assess the body of evidence using the Grading of Recommendation, Assessment, Development, and Evaluation Approach.

Discussion: This systematic review and meta-analysis will comprehensively evaluate and synthesize existing evidence on blood GFAP levels for prognosticating presymptomatic individuals and those with MCI to help advance risk-stratified treatment strategies for early-phase AD.

Trial registration: PROSPERO CRD42023481200.

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预测未患痴呆症的成人阿尔茨海默病临床进展的神经胶质纤维酸性蛋白血药浓度:系统综述和荟萃分析方案。
背景:临床迫切需要确定可靠的预后生物标志物,以预测早期阿尔茨海默病(AD)患者痴呆症状的发展,特别是考虑到淀粉样β(Aβ)导向免疫疗法的研究和预测应用,以清除大脑中的β。横断面研究显示,与认知功能未受损的人相比,AD 相关痴呆症患者脑脊液和血液中胶质纤维酸性蛋白(GFAP)的水平更高。此外,最近的纵向研究还评估了基线血液 GFAP 水平作为认知功能未受损者和 AD 引起的轻度认知功能障碍(MCI)患者未来认知功能下降的预测因子的预后潜力。在本系统综述和荟萃分析中,我们建议对血液 GFAP 水平预测未来认知能力下降的纵向研究进行分析:本研究将包括将血液 GFAP 水平作为预后因素进行评估的前瞻性和回顾性队列研究,以及将血液 GFAP 水平纳入认知功能未受损者或 MCI 患者的任何预测模型。主要结果是认知功能未受损者转为 MCI 或 AD,或 MCI 患者转为 AD。从 PubMed 和 Embase 中提取的文章将截止到 2023 年 12 月 31 日,没有语言限制。将对摘要和可能符合条件的全文报告进行独立的双重筛选。我们将使用CHeck关键评估清单、预测建模研究系统性综述(CHARMS)--预后因素数据提取和CHARMS核对表对数据进行双重提取,并使用 "预后研究质量 "和 "预测研究偏倚风险评估 "工具对偏倚风险和适用性进行双重评估。我们将对研究数据、参与者、指标生物标记物、预测模型特征和临床结果进行定性综合。在适当的情况下,我们将进行随机效应荟萃分析,以获得汇总估计值。最后,我们将采用推荐、评估、发展和评价分级法对证据进行评估:本系统综述和荟萃分析将全面评估和综合血液中GFAP水平用于预示无症状个体和MCI患者的现有证据,以帮助推进早期AD的风险分层治疗策略:试验注册:PREMCO CRD42023481200。
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