Literature DB >> 31341812

Prevalence of amblyopia in congenital blepharoptosis: a systematic review and Meta-analysis.

Jia-Ying Zhang1,2, Xiao-Wei Zhu1,2, Xia Ding1,2, Ming Lin1,2, Jin Li1,2.   

Abstract

AIM: To conduct a systematic review and Meta-analysis of the published literature to evaluate the pooled prevalence rate of amblyopia in patients with congenital ptosis.
METHODS: We searched the PubMed, Embase, the Cochrane Central Register of Controlled Trials, China National Knowledge Infrastructure, Wanfang Data, and Chongqing VIP databases for studies reporting the prevalence of amblyopia in patients with congenital ptosis. The reference lists of relevant studies were scanned. Heterogeneity of effect sizes across studies was tested. We calculated prevalence ratios to compare prevalence estimates for different causes of amblyopia in patients with congenital ptosis, as well as for different geographical regions, year of publication and sample size in subgroup analyses. A systematic review and Meta-analysis were performed.
RESULTS: We identified 29 eligible surveys with a total population of 2436. Prevalence rates of amblyopia ranged from 13.8% to 69%. We noted substantial heterogeneity in prevalence estimates for amblyopia in congenital ptosis (Cochran's χ 2 significant at P<0.0001; I 2=90%). The pooled prevalence using random-effects models of 29 studies was 32.8% (95%CI: 27.3%-38.4%) in the overall population. Compared to the overall pooled prevalence, amblyopia prevalence was higher in studies in which only subjects with blepharophimosis syndrome were included.
CONCLUSION: We confirm that nearly one-third of congenital ptosis patients are suffering from or at risk for amblyopia. Patients with blepharophimosis syndrome are more likely to develop amblyopia. The identification and management of amblyopia should be integral to the treatment of congenital ptosis.

Entities:  

Keywords:  amblyopia; blepharophimosis; congenital ptosis; systematic review

Year:  2019        PMID: 31341812      PMCID: PMC6629806          DOI: 10.18240/ijo.2019.07.21

Source DB:  PubMed          Journal:  Int J Ophthalmol        ISSN: 2222-3959            Impact factor:   1.779


  2 in total

1.  An Outperforming Artificial Intelligence Model to Identify Referable Blepharoptosis for General Practitioners.

Authors:  Ju-Yi Hung; Ke-Wei Chen; Chandrashan Perera; Hsu-Kuang Chiu; Cherng-Ru Hsu; David Myung; An-Chun Luo; Chiou-Shann Fuh; Shu-Lang Liao; Andrea Lora Kossler
Journal:  J Pers Med       Date:  2022-02-15

2.  Postoperative Visual Outcome: Sling procedure with prolene sutures in children with simple congenital ptosis.

Authors:  Nida Shamim; Nausheen Hayat; Alyscia Cheema
Journal:  Pak J Med Sci       Date:  2022 Jan-Feb       Impact factor: 1.088

  2 in total

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