医学
荟萃分析
置信区间
优势比
子群分析
中国
人口学
人口
样本量测定
流行
纬度
流行病学
内科学
环境卫生
地理
统计
社会学
数学
考古
大地测量学
作者
Songsong Tan,Dongbo Yuan,Hao Su,Weihong Chen,Siqi Zhu,Bo Yan,Fa Sun,Kehua Jiang,Jianguo Zhu
出处
期刊:BJUI
[Wiley]
日期:2023-09-12
卷期号:133 (1): 34-43
被引量:9
摘要
Objective To estimate the pooled prevalence, as well as the spatial and temporal distribution, of urolithiasis among subjects in China. Materials and Methods We conducted a comprehensive search of both Chinese and English databases to retrieve literature pertaining to the prevalence of urolithiasis in the indigenous Chinese population. A random‐effects meta‐analysis model was employed to calculate the pooled prevalence of urolithiasis. Subgroup analyses were conducted based on factors such as time, region, gender, and sample size. Prevalence and spatial distribution maps were created based on provinces and latitude/longitude coordinates. Results A total of 46 studies conducted in 22 provinces across China were included in this meta‐analysis and the pooled prevalence of urolithiasis, kidney stones, ureteric calculi, urethral and bladder stones were 8.1% (95% confidence interval [CI] 5.6–11.1%), 7.8% (95% CI 5.8–10.0%), 3.2% (95% CI 0.6–5.7%), 0.5% (95% CI 0.1–0.9%). Most of the urolithiasis prevalence screening in China was concentrated between 100° E and 120° E, with higher rates observed in low latitude areas. Subgroup analysis of kidney stones revealed that Guangdong (12.7%) and Guangxi (10.3%) had the highest prevalence, with the eastern developed area exhibiting higher rates compared to the west. The prevalence in males was higher than in females (odds ratio 1.67, 95% CI 1.46–1.92), although the gender gap has significantly reduced since 2006. Moreover, a greater sample size is associated with a decreased prevalence of urolithiasis. Conclusions The prevalence of urolithiasis is increasing in China, and there are noteworthy regional or provincial disparities in occurrence. It is worth noting that the current number of screening studies in some areas is insufficient. Additional investigations with appropriate sample sizes should be supplemented in time.
科研通智能强力驱动
Strongly Powered by AbleSci AI