Department of Neurology, University Medical Center Utrecht, Utrecht, The Netherlands.
Department of Psychology, University of Ioannina, Ioannina, Greece.
BMJ Open. 2024 Nov 1;14(10):e087970. doi: 10.1136/bmjopen-2024-087970.
Amyotrophic lateral sclerosis (ALS) is a fatal neurogenerative disease with no effective treatment to date. Despite numerous clinical trials, the majority of studies have been futile in their effort to significantly alter the course of the disease. However, these studies may still provide valuable information for identifying patient subgroups and generating new hypotheses for future research. Additionally, synthesising evidence from these studies may help overcome the limitations of individual studies. Network meta-analysis may refine the assessment of efficacy in specific patient subgroups, evaluate intervention characteristics such as mode of administration or biological mechanisms of action, and rank order promising therapeutic areas of interest. Therefore, we aim to synthesise the available evidence from ALS clinical trials.
We will conduct a systematic review to identify all clinical trials that assessed disease-modifying pharmaceutical therapies, cell therapies, or supplements in patients with ALS. Outcomes of interest are clinical disease progression outcomes and survival. We will conduct this search in the period Q4 2024 in three databases: PubMed, Embase and ClinicalTrials.gov for studies from 1999 to 2023. Individual patient data and aggregate data will be collected and subsequentially synthesised in meta-analytical models. The final model will be presented as an open-source web application with biannual updates of the underlying data, thereby providing a 'living' overview of the ALS clinical trial landscape.
No ethics approvals are required. Findings will be presented at relevant conferences and submitted to peer-reviewed journals. Data will be stored anonymously in secure repositories.
肌萎缩侧索硬化症(ALS)是一种致命的神经退行性疾病,目前尚无有效的治疗方法。尽管进行了大量的临床试验,但大多数研究都未能显著改变疾病的进程。然而,这些研究仍可能为确定患者亚组和为未来的研究提出新的假设提供有价值的信息。此外,综合这些研究的证据可能有助于克服个别研究的局限性。网络荟萃分析可以更精确地评估特定患者亚组的疗效,评估干预措施的特征,如给药方式或作用的生物学机制,并对有前途的治疗领域进行排序。因此,我们旨在综合肌萎缩侧索硬化症临床试验的现有证据。
我们将进行系统评价,以确定所有评估疾病修饰药物治疗、细胞治疗或补充剂在肌萎缩侧索硬化症患者中的临床试验。感兴趣的结局是临床疾病进展结局和生存。我们将在 2024 年第四季度在三个数据库中进行搜索:PubMed、Embase 和 ClinicalTrials.gov,以查找 1999 年至 2023 年的研究。将收集和随后综合个体患者数据和汇总数据的荟萃分析模型。最终模型将作为一个开源网络应用程序呈现,其中包含底层数据的两年一次更新,从而提供肌萎缩侧索硬化症临床试验领域的“实时”概述。
不需要伦理批准。研究结果将在相关会议上进行报告,并提交给同行评议的期刊。数据将匿名存储在安全的存储库中。