amhsr-open access medicla research journals

Age and Gender Risk factors for Macular Degeneration: Systematic Review and Meta-analysis

Author(s):

Mazen Abdullah Mohammed, Altowairqi Raad hameed A, Ranyah Ahmed Nasser, Khalid Faisal Alharbi and Abdullah Khalaf Alshammari

Background: AMD is considered a multifactorial disease associated with genetic and environmental factors. Age is the strongest non-modifiable risk factor. The risk of developing advanced AMD is 3 times higher among individuals aged 60-80 years than in those under the age of 60.5 Aim: This work aims to determine the effect of age and gender as risk factors in Macular Degeneration (MD) patients. Materials and Methods: A systematic search was performed over different medical databases to identify Ophthalmology studies, which studied the outcome of MD patients. Using the meta-analysis process, either with fixed or random-effects models, we conducted a meta-analysis on the overall MD prevalence as a primary outcome, and no correlation between age, gender, and MD prevalence as secondary outcomes. Results: Seven studies were identified involving 30515 patients, 14790 in the Male group and 15725 in the Female group. The meta-analysis process revealed that the pooled MD prevalence of (11.8%), with a non-significant difference in MD prevalence in the Male group, compared to the Female group (p > 0.05). Using Spearman’s correlation analysis, the meta-analysis process revealed a highly significant positive correlation between age and MD prevalence (p < 0.05). Conclusion: To conclude, age-related macular degeneration (AMD) is a leading cause of blindness in the elderly. The lesions associated with AMD are commonly divided into early AMD (soft drusen with or without retinal pigment abnormalities, frequently called “age-related maculopathy”) and late AMD (neovascular disease and geographic atrophy). High age and early AMD are strong risk factors for developing late AMD.


Select your language of interest to view the total content in your interested language


Awards Nomination
20+ Million Readerbase
Abstracted/Indexed in

  • Include Baidu Scholar
  • CNKI (China National Knowledge Infrastructure)
  • EBSCO Publishing's Electronic Databases
  • Exlibris – Primo Central
  • Google Scholar
  • Hinari
  • Infotrieve
  • National Science Library
  • ProQuest
  • TdNet
  • African Index Medicus
Annals of Medical and Health Sciences Research The Annals of Medical and Health Sciences Research is a bi-monthly multidisciplinary medical journal.
Submit your Manuscript