scispace - formally typeset
N

Ningli Wang

Researcher at Capital Medical University

Publications -  650
Citations -  22306

Ningli Wang is an academic researcher from Capital Medical University. The author has contributed to research in topics: Intraocular pressure & Glaucoma. The author has an hindex of 51, co-authored 534 publications receiving 15517 citations. Previous affiliations of Ningli Wang include Beijing Tongren Hospital.

Papers
More filters
Journal ArticleDOI

Global Prevalence and Major Risk Factors of Diabetic Retinopathy

TL;DR: Longer diabetes duration and poorer glycemic and blood pressure control are strongly associated with DR, and these data highlight the substantial worldwide public health burden of DR and the importance of modifiable risk factors in its occurrence.
Journal ArticleDOI

Global Causes of Blindness and Distance Vision Impairment 1990-2020: A Systematic Review and Meta-Analysis

Seth Flaxman, +109 more
TL;DR: A series of regression models were fitted to estimate the proportion of moderate or severe vision impairment and blindness by cause, age, region, and year, and found that world regions varied markedly in the causes of blindness and vision impairment in this age group.
Journal ArticleDOI

Magnitude, temporal trends, and projections of the global prevalence of blindness and distance and near vision impairment: a systematic review and meta-analysis

Rupert R A Bourne, +109 more
TL;DR: There is an ongoing reduction in the age-standardised prevalence of blindness and visual impairment, yet the growth and ageing of the world's population is causing a substantial increase in number of people affected, highlighting the need to scale up vision impairment alleviation efforts at all levels.
Journal ArticleDOI

Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants

Bin Zhou, +1144 more
- 11 Sep 2021 - 
TL;DR: In this article, a Bayesian hierarchical model was used to estimate the prevalence of hypertension and the proportion of people with hypertension who had a previous diagnosis (detection), who were taking medication for hypertension (treatment), and whose hypertension was controlled to below 140/90 mm Hg (control).