UNASSIGNED: We systematically searched several literature databases including PubMed, Embase, Cochrane Library, Web of Science, CNKI, CBM, Wan Fang Data, and VIP databases. Pooled odds ratios (OR) and 95% confidence intervals (CI) were calculated using fixed or random effects models. Four models were developed to assess the relationship between refractive error and the risk and DR, VTDR: hyperopia and DR, VTDR; myopia and DR, VTDR; spherical equivalent (SE per D increase) and DR, VTDR; and axial length (AL per mm increase) and DR, VTDR. The included literature was meta-analyzed using Stata 12.0 software, and sensitivity analysis was performed. Publication bias in the literature was evaluated using a funnel plot, Begg\'s test, and Egger\'s test.
UNASSIGNED: A systematic search identified 3,198 articles, of which 21 (4 cohorts, 17 cross-sectional studies) were included in the meta-analysis. Meta-analysis showed that hyperopia was associated with an increased risk of VTDR (OR: 1.23; 95% CI: 1.08-1.39; P = 0.001), but not with DR (OR: 1.05; 95% CI: 0.94-1.17; P = 0.374). Myopia was associated with a reduced risk of DR (OR: 0.74; 95% CI: 0.61-0.90; P = 0.003), but not with VTDR (OR: 1.08; 95% CI: 0.85-1.38; P = 0.519). Every 1 diopter increase in spherical equivalent, there was a 1.08 increase in the odds ratio of DR (OR: 1.08; 95% CI: 1.05-1.10; P<0.001), but not with VTDR (OR: 1.05; 95% CI: 1.00-1.10; P = 0.06). AL per mm increase was significantly associated with a decreased risk of developing DR (OR: 0.77; 95% CI: 0.71-0.84; P<0.001) and VTDR (OR: 0.63; 95% CI: 0.56-0.72; P<0.001). Analysis of sensitivity confirmed the reliability of the study\'s findings.
UNASSIGNED: This meta-analysis demonstrates hyperopia was associated with an increased risk of VTDR in diabetes patients. Myopia was associated with a reduced risk of DR. AL is an important influencing factor of refractive error. Every 1 mm increase in AL reduces the risk of DR by 23% and the risk of VTDR by 37%.
UNASSIGNED: identifier: CRD42023413420.
■我们系统地搜索了几个文献数据库,包括PubMed,Embase,科克伦图书馆,WebofScience,CNKI,CBM,万方数据,VIP数据库。使用固定或随机效应模型计算汇总优势比(OR)和95%置信区间(CI)。开发了四个模型来评估屈光不正与风险和DR之间的关系,VTDR:远视和DR,VTDR;近视和DR,VTDR;球面当量(SE每D增加)和DR,VTDR;和轴向长度(每毫米增加AL)和DR,VTDR.纳入文献采用Stata12.0软件进行荟萃分析,并进行敏感性分析。文献中的出版偏倚是用漏斗图评估的,Begg\'stest,和Egger的测试。
■系统搜索确定了3,198篇文章,其中21人(4个队列,17项横断面研究)被纳入荟萃分析。Meta分析显示远视与VTDR风险增加相关(OR:1.23;95%CI:1.08-1.39;P=0.001),但与DR无关(OR:1.05;95%CI:0.94-1.17;P=0.374)。近视与DR风险降低相关(OR:0.74;95%CI:0.61-0.90;P=0.003),而非VTDR(OR:1.08;95%CI:0.85-1.38;P=0.519)。等效球面每增加1屈光度,DR的比值比增加了1.08(OR:1.08;95%CI:1.05-1.10;P<0.001),而非VTDR(OR:1.05;95%CI:1.00-1.10;P=0.06)。每毫米AL的增加与发生DR(OR:0.77;95%CI:0.71-0.84;P<0.001)和VTDR(OR:0.63;95%CI:0.56-0.72;P<0.001)的风险降低显着相关。敏感性分析证实了研究结果的可靠性。
■这项荟萃分析显示远视与糖尿病患者VTDR风险增加有关。近视与DR风险降低有关。AL是影响屈光不正的重要身分。AL每增加1mm,DR风险降低23%,VTDR风险降低37%。
■标识符:CRD42023413420。