Mora-Paez Denisse J, Guedes Jaime, Amaral Dillan Cunha, Ferreira Marcelo Alves, Fernandes Bruno F, Pereira Sacha F, Botton Bruno, Desai Alisha, Pakter Helena Messinger, Lavinsky Fabio, Filho Adroaldo Alencar Costa
Glaucoma Research Center, Wills Eye Hospital, Philadelphia, PA 19107, USA.
Faculty of Medicine, Federal University of Rio de Janeiro, Rio de Janeiro 21941-971, RJ, Brazil.
Vision (Basel). 2025 May 5;9(2):42. doi: 10.3390/vision9020042.
We conducted a systematic review and meta-analysis to estimate the prevalence of all types of glaucoma in Latin America (LATAM) and evaluate potential demographic associations. This study followed PRISMA guidelines and was registered in PROSPERO (CRD42024506330). A comprehensive search of PubMed, SciELO, and Web of Science was conducted to identify population-based or cross-sectional studies reporting glaucoma prevalence in LATAM. Studies were categorized into two groups: Group 1 included general population studies without selection based on visual acuity (VA), and Group 2 included studies limited to individuals with VA < 20/60. Data from five studies in Group 1 (25,288 individuals) and eight studies in Group 2 (29,882 individuals) were analyzed using R software. The pooled prevalence of glaucoma was 4% (95% CI: 1-3%) in Group 1 and 1% (95% CI: 0-1%) in Group 2. No statistically significant associations were found between glaucoma prevalence and sex ( = 0.08) or age ( = 0.5669). Although our findings highlight the relevance of glaucoma as a public health concern in LATAM, the limited number of available studies and methodological variability reduce the certainty of the estimates.
我们进行了一项系统评价和荟萃分析,以估计拉丁美洲(LATAM)所有类型青光眼的患病率,并评估潜在的人口统计学关联。本研究遵循PRISMA指南,并在PROSPERO(CRD42024506330)上进行了注册。对PubMed、SciELO和科学网进行了全面检索,以确定报告LATAM青光眼患病率的基于人群或横断面研究。研究分为两组:第1组包括不基于视力(VA)进行选择的普通人群研究,第2组包括仅限于VA<20/60个体的研究。使用R软件分析了第1组中五项研究(25288人)和第2组中八项研究(29882人)的数据。第1组青光眼的合并患病率为4%(95%CI:1-3%),第2组为1%(95%CI:0-1%)。在青光眼患病率与性别( = 0.08)或年龄( = 0.5669)之间未发现统计学上的显著关联。尽管我们的研究结果突出了青光眼作为LATAM公共卫生问题的相关性,但现有研究数量有限且方法存在差异,降低了估计的确定性。