School of Medicine, The University of Western Australia, Perth, Australia.
King Fahd Specialist Hospital, Burydah, Saudi Arabia.
Rheumatol Int. 2021 May;41(5):863-877. doi: 10.1007/s00296-020-04731-0. Epub 2020 Nov 11.
The objective is to determine the global population prevalence of rheumatoid arthritis (RA) based on population-based studies and assess factors that influence RA prevalence estimates. Four electronic databases were searched (ProQuest Central, MEDLINE, Web of Science, and EMBASE) for peer-reviewed English publications that report prevalence estimates of RA from 1980 and 2019. We included case-control studies, cross-sectional studies, and prospective or retrospective cohort studies in our search strategy. A random-effect meta-analysis model was used to produce the pooled prevalence estimates. The potential between-study heterogeneity was identified using sensitivity analysis, sub-group and meta-regression analyses. A total of 67 studies were included in the meta-analysis, containing 742,246 RA patients and 211,592,925 healthy controls in the study period. The global RA prevalence estimate was 0.46% (95% confidence interval [CI] 0.39-0.54; I = 99.9%) with a 95% prediction interval (0.06-1.27). The RA point-prevalence was 0.45% (95% CI 0.38-0.53%) between 1986 and 2014, while the pooled period-prevalence was 0.46% (95% CI 0.36% and 0.57%) from 1955 to 2015. The highest RA pooled prevalence (0.69%; 95% CI 0.47-0.95) was derived from linked data source studies. Based on meta-regression, the factors that explain the studies' heterogeneity of RA prevalence, including geographical location, the risk bias assessment of studies and sample size. The global prevalence of RA between 1980 and 2019 was 460 per 100,000 population, with variations due to geographical location and study methodology. Linked data are the preferred method to estimate RA population prevalence as they provide the best case ascertainment.
基于基于人群的研究，确定全球类风湿关节炎（RA）的流行率，并评估影响 RA 流行率估计的因素。
我们在 ProQuest Central、MEDLINE、Web of Science 和 EMBASE 四个电子数据库中搜索了 1980 年至 2019 年发表的有关 RA 流行率估计的同行评审英文文献。我们的检索策略包括病例对照研究、横断面研究以及前瞻性或回顾性队列研究。采用随机效应荟萃分析模型得出汇总的流行率估计值。通过敏感性分析、亚组和荟萃回归分析来确定研究间的潜在异质性。
共有 67 项研究纳入荟萃分析，其中研究期间 RA 患者 742246 例，健康对照 211592925 例。全球 RA 流行率估计值为 0.46%（95%可信区间[CI]：0.39-0.54；I=99.9%），95%预测区间（95% PI）为（0.06-1.27）。1986 年至 2014 年期间，RA 时点流行率为 0.45%（95% CI：0.38-0.53%），1955 年至 2015 年期间汇总的期间流行率为 0.46%（95% CI：0.36%和 0.57%）。最高的 RA 汇总流行率（0.69%；95% CI：0.47-0.95）来自于基于关联数据源的研究。基于荟萃回归，可解释 RA 流行率研究间异质性的因素包括地理位置、研究的风险偏倚评估和样本量。1980 年至 2019 年全球 RA 流行率为每 10 万人 460 例，因地理位置和研究方法不同而有所差异。关联数据是估计 RA 人群流行率的首选方法，因为它们可提供最佳的病例确定。
