R P Radhika, Rao Bhamini Krishna, Rao Shonraj Ballae Ganesh, Gudi Nachiket, Parsekar Shradha, Mani Revathy
Department of Optometry, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Department of Physiotherapy, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
MethodsX. 2025 Feb 21;14:103241. doi: 10.1016/j.mex.2025.103241. eCollection 2025 Jun.
Children with cerebral palsy (CP) may experience a variety of visual abnormalities, which might hamper their daily activities. Most physical therapy for the CP population focuses on visual aspects, which postpone rehabilitation outcomes. Considering the significance of vision to the CP community, we aimed to conduct a systematic review of the prevalence of ocular abnormalities such as oculomotor abnormalities, refractive errors, and binocular vision anomalies in children with Cerebral palsy in the absence of eye injury in WHO South-East Asia region.
METHODS & ANALYSIS: This systematic review and meta-analysis protocol are reported as per the PRISMA- P and MOOSE guidelines. A complete search strategy will be framed using MeSH terms and the opinion of the subject expert. A detailed search on PubMed, the Cochrane Library, Scopus, Web of Science and CINHAL will be carried out to retract the data on the prevalence of visual problems in the CP population (age< 18 years), published in English between January 2010 and 2024. Covidence software will be used to manage data, screen records and extract the information. The Newcastle-Ottawa Scale will be used to evaluate the listed studies quality and risk of bias. RevMan V.5 will be used to analyse the data.
脑瘫患儿可能会出现多种视觉异常，这可能会妨碍他们的日常活动。大多数针对脑瘫人群的物理治疗都侧重于视觉方面，这会延迟康复效果。鉴于视力对脑瘫群体的重要性，我们旨在对世界卫生组织东南亚区域无眼部损伤的脑瘫患儿中眼动异常、屈光不正和双眼视觉异常等眼部异常的患病率进行系统评价。
本系统评价和荟萃分析方案按照PRISMA-P和MOOSE指南报告。将使用医学主题词和主题专家的意见制定完整的检索策略。将对PubMed、Cochrane图书馆、Scopus、科学网和CINHAL进行详细检索，以获取2010年1月至2024年期间以英文发表的关于脑瘫人群（年龄<18岁）视觉问题患病率的数据。将使用Covidence软件管理数据、筛选记录并提取信息。将使用纽卡斯尔-渥太华量表评估所列研究的质量和偏倚风险。将使用RevMan V.5分析数据。
