Section for Biostatistics and Evidence-Based Research, the Parker Institute, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark.
Research Unit of Rheumatology, Department of Clinical Research, University of Southern Denmark, Odense University Hospital, Odense, Denmark.
BMJ Open. 2021 Sep 6;11(9):e049850. doi: 10.1136/bmjopen-2021-049850.
Inflammatory arthritis (IA) conditions, including rheumatoid arthritis, psoriatic arthritis and axial spondyloarthritis, are characterised by inflammatory infiltration of the joints. Biological disease-modifying antirheumatic drugs (bDMARDs) and targeted synthetic disease-modifying antirheumatic drugs (tsDMARDs), respectively, reduce the effects of proinflammatory cytokines and immune cells to ameliorate disease. However, immunosuppression can be associated with high rates of serious adverse events (SAEs), including serious infections, and maybe an increased risk of malignancies and cardiovascular events. Currently, there is no empirical evidence on the extent to which contextual factors and risk of bias (RoB) domains may modify these harm signals in randomised trials.
We will search MEDLINE (via PubMed) for systematic reviews published since April 2015 and all Cochrane reviews. From these reviews, randomised trials will be eligible if they include patients with an IA condition with at least one group randomly allocated to bDMARD and/or tsDMARD treatments. A predefined form will be used for extracting data on population characteristics (eg, baseline characteristics or eligibility criteria, such as medication background) and specific harm outcome measures, such as number of withdrawals, numbers of patients discontinuing due to adverse events and number of patients having SAEs. RoB in individual trials will be assessed using a modified Cochrane RoB tool. We will estimate the potentially causal harm effects related to the experimental intervention compared with control comparator as risk ratios, and heterogeneity across randomised comparisons will be assessed statistically and evaluated as inconsistency using the I Index. Our metaregression analyses will designate population and trial characteristics and each RoB domain as independent variables, whereas the three harm domains will serve as dependent variables.
Ethics approval is not required for this study. Results will be disseminated through publication in international peer-reviewed journals.
CRD42020171124.
炎症性关节炎(IA)疾病,包括类风湿关节炎、银屑病关节炎和中轴型脊柱关节炎,其特征是关节炎症浸润。生物疾病修饰抗风湿药物(bDMARDs)和靶向合成疾病修饰抗风湿药物(tsDMARDs)分别减少促炎细胞因子和免疫细胞的作用,以改善疾病。然而,免疫抑制可能与严重不良事件(SAEs)的高发生率相关,包括严重感染,并且可能增加恶性肿瘤和心血管事件的风险。目前,尚无关于背景因素和偏倚风险(RoB)领域在随机试验中对这些危害信号的影响程度的经验证据。
我们将在 MEDLINE(通过 PubMed)中搜索自 2015 年 4 月以来发表的系统评价和所有 Cochrane 评价。从这些评价中,如果随机试验包括至少一组患者被随机分配到 bDMARD 和/或 tsDMARD 治疗的 IA 疾病患者,则可入选。我们将使用预定义的表格提取有关人群特征(例如基线特征或资格标准,如药物背景)和特定危害结局指标的数据,例如退出人数、因不良事件停药的患者人数和发生严重不良事件的患者人数。将使用改良 Cochrane RoB 工具评估单个试验中的 RoB。我们将估计与对照比较相比,实验干预相关的潜在因果危害效应,风险比,并使用 I 指数评估随机比较之间的统计学异质性和评价不一致性。我们的荟萃回归分析将将人群和试验特征以及每个 RoB 领域指定为自变量,而三个危害领域将作为因变量。
本研究不需要伦理批准。结果将通过在国际同行评议期刊上发表来传播。
PROSPERO 注册号:CRD42020171124。