罕见神经肌肉疾病登记处的学术生产力:系统回顾

Tran M Nguyen, Matt Downs, N. Bennett, Vitaliy Matyushenko, Harumasa Nakamura, D. Osredkar, Shiwen Wu, N. Goemans, A. Ambrosini, Rahsa El Sherifc, C. Campbell
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摘要

背景:TREAT-NMD是一个全球性的神经肌肉(NM)组织,旨在加强基础设施,促进新治疗方法到达患者。一项主要活动旨在支持NM疾病登记。这些罕见疾病登记有助于利用真实世界的数据填补疾病界各利益攸关方的知识空白。尽管了解如何在TREAT-NMD网络和其他罕见疾病登记处使用患者数据很重要,但没有系统的过程或一致的指标来记录这些登记处的学术成果。目的:本研究的目的是确定与TREAT-NMD网络相关的NM登记处的学术产出,以及数据促进的研究类型。结果:系统检索EMBASE、Medline、Cochrane Central和SCOPUS数据库,检索时间自成立至2021年11月24日。检索总共产生了650个结果,231个全文研究被评估为合格,总共97个研究符合纳入标准。结论:结果表明,treatment - nmd的出版物主要是描述性的或方法学的。像TREAT-NMD网络这样的罕见疾病登记处将受益于明确和一致的指标,以促进学术成果的报告。
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Academic Productivity from Rare Neuromuscular Disease Registries: A Systematic Review
Background: TREAT-NMD is a global neuromuscular (NM) organization, created to enhance infrastructure to facilitate novel therapeutics reaching patients. One main activity is aimed at supporting NM disease registries. These rare disease registries are useful to fill knowledge gaps for various stakeholders in the disease community using real world data. Although it is important to understand how patient data is being utilized in the TREAT-NMD network and other rare disease registries, there is no systematic process or consistent metric for documenting the academic output from these registries. Objectives: The objective of this study was to determine the academic output from NM registries associated with the TREAT-NMD network, and the types of research the data is facilitating. Results: A systematic search of EMBASE, Medline, Cochrane Central and SCOPUS was performed from inception to November 24, 2021. The search yielded a total of 650 results, with 231 full text studies assessed for eligibility and a total of 97 studies that met the inclusion criteria. Conclusions: The results suggest publications from TREAT-NMD are mainly descriptive or methodologic. Rare disease registries, like the TREAT-NMD network, would benefit from clear and consistent metrics to facilitate reporting of academic output.
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