Department of Pharmacy Practice, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Institute of Clinical Sciences B, Royal Victoria Hospital, Queen's University Belfast School of Medicine, Dentistry and Biomedical Sciences,Centre for Public Health, Belfast, UK.
BMJ Open. 2022 Jul 29;12(7):e062126. doi: 10.1136/bmjopen-2022-062126.
Rare diseases (RDs) are often chronic and progressive life-threatening medical conditions that affect a low percentage of the population compared with other diseases. These conditions can be treated with medications known as orphan drugs (ODs). Unfortunately, there is no universal definition of RDs or ODs. This systematic review (SR) will identify the quantitative and qualitative criteria and the underlying rationale used internationally to define RDs and ODs.
This protocol follows the conventions for the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (2015 guidelines). A SR will be conducted, including a search of the following databases: PubMed, MEDLINE, EMBASE, Scopus, Web of Science, GreyLit and OpenGrey. Eligible publications will be selected based on predetermined inclusion criteria. Extracted data will be analysed using thematic and content analyses of qualitative descriptors, whereas quantitative data will be analysed descriptively and reported in the form of frequencies and percentages.
No ethical approval is required since this SR focuses on the secondary analysis of data retrieved from the scientific literature. The outcomes of this SR will be published as part of a PhD thesis, presented at conferences, and published in peer-reviewed journals.
CRD42021252701.
罕见病(RDs)通常是慢性且进行性的危及生命的疾病,与其他疾病相比,其在人群中的发病率较低。这些疾病可以用被称为孤儿药(ODs)的药物治疗。不幸的是,目前还没有 RD 和 OD 的通用定义。本系统评价(SR)将确定国际上用于定义 RD 和 OD 的定量和定性标准以及潜在的基本原理。
本方案遵循《系统评价和荟萃分析报告的首选条目》(2015 年指南)的约定。将进行 SR,包括搜索以下数据库:PubMed、MEDLINE、EMBASE、Scopus、Web of Science、GreyLit 和 OpenGrey。根据预先确定的纳入标准选择合格的出版物。提取的数据将使用定性描述符的主题和内容分析进行分析,而定量数据将以频率和百分比的形式进行描述性分析和报告。
由于本 SR 重点是对从科学文献中检索到的数据进行二次分析,因此不需要伦理批准。本 SR 的结果将作为博士论文的一部分发表,在会议上展示,并在同行评议的期刊上发表。
PROSPERO 注册号:CRD42021252701。