749The global prevalence of Rheumatoid Arthritis: A meta-analysis
749The global prevalence of Rheumatoid Arthritis: A meta-analysis
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749 类风湿性关节炎的全球患病率：一项荟萃分析
DOI：
10.1093/ije/dyab168.034
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发表时间：
2021
影响因子：
7.7
通讯作者：
C. Inderjeeth
中科院分区：
文献类型：
--
作者：
K. Almutairi;J. Nossent;D. Preen;H. Keen;C. Inderjeeth
根据已发表的研究确定类风湿关节炎（RA）的全球患病率，并揭示影响RA患病率估计的因素。
检索了4个电子数据库- ProQuest Central、MEDLINE、Web of Science和EMBASE，以查找1980年至2019年期间报告RA患病率估计值的出版物。采用随机效应荟萃分析模型得出合并患病率估计值。采用敏感性分析、亚组分析和荟萃回归分析确定研究间异质性的潜在来源。
荟萃分析共纳入了67项研究，包括212，335，171例患者。RA的全球患病率估计为0.46%（95% CI：0.39-0.54; I2=99.9%），95%预测区间为（0.06-1.27）。RA的时点患病率为0.45%（95% CI：0.38 ~ 0.53%），合并期患病率为0.46%（0.36%和0.57%）。根据关联数据源研究，RA合并患病率最高估计为0.69%（95% CI：0.47-0.95）。基于亚组分析，RA的合并患病率受地理位置、研究的风险偏倚、阶段患病率方法和分层期间的城市人群设置的影响。
1980-2018年，全球RA患病率为每10万人460例，预测区间为95%（0.06- 1.27%）。RA患病率估计受地理位置、研究的风险偏倚评估、周期患病率方法和城市人口设置的影响。
1980-2018年，全球RA患病率为每10万人460例，预测区间为95%（0.06- 1.27%）。
To determine the global prevalence of rheumatoid arthritis (RA) based on published studies and reveal factors which influence the RA prevalence estimates.
Four electronic databases- ProQuest Central, MEDLINE, Web of Science, and EMBASE were searched for publications from 1980 and 2019, reporting prevalence estimates of RA. A random-effect meta-analysis model was used to produce the pooled prevalence estimates. The potential sources of between-study heterogeneity were identified using sensitivity analysis, sub-group and meta-regression analyses.
A total of 67 studies consisting of 212,335,171 patients were included in the meta-analysis. The global prevalence of RA was estimated 0.46% (95% CI: 0.39-0.54; I2=99.9%) with a 95% prediction interval (0.06–1.27). The point-prevalence of RA was 0.45% (95% CI: 0.38- 0.53%), while the pooled period-prevalence was 0.46% (0.36% and 0.57%). The highest RA pooled prevalence was estimated at 0.69% (95% CI: 0.47–0.95) derived from linked data sources studies. Based on subgroup analyses, the pooled prevalence of RA was influenced by geographical location, the risk bias of studies, period-prevalence method and urban population setting over the stratified periods.
The global prevalence of RA was 460 per 100,000 population from 1980–2018, with a 95% prediction interval (0.06– 1.27%). RA prevalence estimates were influenced by geographical location, the risk bias assessment of studies, period-prevalence method and urban population setting over time.
The global prevalence of RA was 460 per 100,000 population from 1980–2018, with a 95% prediction interval (0.06– 1.27%).