Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
Carleton University, Ottawa, Ontario, Canada.
BMJ Open. 2024 Nov 1;14(10):e088775. doi: 10.1136/bmjopen-2024-088775.
Tacrolimus is an immunosuppressant commonly administered in transplant recipients. Given its narrow therapeutic range and susceptibility to various influencing variables, determining its optimal dosage is challenging. This systematic review seeks to identify effective analytical modelling techniques and methods for optimal tacrolimus dose prediction in solid transplant recipients.
This review will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria. The study will review the literature published from database inception to 11 March 2024, that assesses predictive models of tacrolimus dosing through analytical modelling techniques. We will include both randomised and non-randomised, as well as cross-sectional, qualitative and before-and-after studies and will perform our searches in four main databases-Ovid/MEDLINE, PubMed/MEDLINE, Scopus, Embase and Web of Science, and search engines including Centers for Disease Control (CDC) and Google Scholar. Papers that are not published in English or French are excluded from this study. A narrative synthesis and meta-analysis will be done if the extracted information permits such analysis. Conference abstracts will be ignored unless they are recent (published within 2 years of the search date).
Ethics clearance is not required for this study as no primary data will be collected. The completed manuscript will be published, and the results of the study will be presented at conferences.
International Prospective Register of Systematic Reviews (PROSPERO), CRD42024537212.
他克莫司是一种常用于移植受者的免疫抑制剂。鉴于其治疗窗较窄且易受多种影响因素的影响，确定其最佳剂量具有挑战性。本系统评价旨在确定有效的分析建模技术和方法，以预测实体器官移植受者他克莫司的最佳剂量。
本综述将遵循系统评价和荟萃分析的首选报告项目（PRISMA）标准。该研究将回顾截至 2024 年 3 月 11 日从数据库开始发表的文献，这些文献评估了通过分析建模技术进行他克莫司剂量预测的预测模型。我们将包括随机和非随机、横断面、定性和前后研究，并在四个主要数据库（Ovid/MEDLINE、PubMed/MEDLINE、Scopus、Embase 和 Web of Science）和包括疾病控制中心（CDC）和谷歌学术在内的搜索引擎中进行搜索。不发表英文或法文的论文将被排除在本研究之外。如果提取的信息允许进行这种分析，将进行叙述性综合和荟萃分析。除非是近期（在搜索日期的 2 年内发表）的会议摘要，否则将被忽略。
本研究不需要伦理批准，因为不会收集原始数据。完成的手稿将发表，并将在会议上展示研究结果。
国际前瞻性系统评价注册库（PROSPERO），CRD42024537212。
