Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Rilwan Chiroma, Muhammad"'
Autor:
Clare E Gilbert, Andrea Zin, Cindy McWhorter, Pukhraj Rishi, Chinyere Ezeaka, Aeesha N J Malik, Dupe S Ademola-Popoola, Odirichi Andrew, Julio A Urrets-Zavalia, Anand Vinekar, Rebecca P Kirby, Kara M Palamountain, Afsar Dastjani Farahani, Alex Pennos, Antonio Castilla Bombín, Ashish N Holani, Elizabeth Asma, Dharma Irugalbandara, Sarah Sitati, Sriharanathan Poopalaratnam, Emeka Ikediugwu, Francis Mutangana, Gilbert Batieka Bonsaana, Guillermo Andres Monteoliva, J Peter Campbell, K Chandrasekhar, Lindsay Hampton-Hampejskova, Nigel Bolster, Nilva Simeren BuenoDeMores, Oluwatimilehin Abayomi, Rilwan Chiroma Muhammad, Roberto Yee, R V Paul Chan
Publikováno v:
BMJ Open Ophthalmology, Vol 8, Iss 1 (2023)
Background As more preterm infants survive, complications of preterm birth, including retinopathy of prematurity (ROP), become more prevalent. ROP rates and blindness from ROP are higher in low-income and middle-income countries, where exposure to ri
Externí odkaz:
https://doaj.org/article/3821e423481348028afe3b3580a69e80
Publikováno v:
Nigerian Journal of Medicine, Vol 30, Iss 3, Pp 310-313 (2021)
Purpose: The purpose of the study was to investigate the relationship between obesity and age-related cataract in a Nigerian Population. Materials and Methods: Ninety adult patients aged between 45 and 65 years with age-related cataract were matched
Externí odkaz:
https://doaj.org/article/9cdd7b9f23ae480eb1814305ecb506db
Publikováno v:
Journal of West African College of Surgeons. 11:14
The aim of this article is to determine the prevalence of COVID-19 infection among asymptomatic ophthalmic patients undergoing ophthalmic procedures at University of Abuja Teaching Hospital, Gwagwalada, Abuja, Nigeria.A retrospective review of record
Publikováno v:
Annals of Nigerian Medicine. 9:56
Aim: This study aimed to determine the prevalence of presbyopia in rural Gwagwalada, Abuja, Nigeria. Materials and Methods: A population-based cross-sectional study was conducted, using cluster random sampling to select 15 clusters of 40 participants