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

Flaxman, Seth; Tahhan, Nina; Bourne, Rupert; Ackland, Peter; Arditi, Aries; Barkana, Yaniv; Bozkurt, Banu; Braithwaite, Tasanee; Bron, Alain M.; Budenz, Donald L.; Cai, Feng; Casson, Robert J.; Chakravarthy, Usha; Choi, Jaewan; Cicinelli, Maria Vittoria; Congdon, Nathan; Dana, Reza; Dandona, Rakhi; Dandona, Lalit; Das, Aditi; Dekaris, Iva; Monte, Monte A. Del; Deva, Jenny P; Dreer, Laura E.; Ellwein, Leon B.; Frazier, Marcela; Frick, Kevin D.; Friedman, David S.; Furtado, João M.; Gao, Hua; Gazzard, Gus; George, Ronnie; Gichuhi, Stephen; González, Víctor H.; Hammond, Billy R.; Hartnett, M. Elizabeth; He, Minguang; Hejtmancik, J. F.; Hirai, Flávio E.; Huang, John J.; Ingram, April; Javitt, Jonathan C.; Jonas, Jost B.; Joslin, Charlotte E.; Keeffe, Jill; Kempen, John H.; Khairallah, Moncef; Khanna, Rohit C; Kim, Judy; Lambrou, George N.; Lansingh, Van C.; Lanzetta, Paolo; Leasher, Janet; Lim, Jennifer; Limburg, Hans; Mansouri, Kaweh; Mathew, Anu; Morse, Alan R.; Muñoz, Beatriz; Musch, David C.; Naidoo, Kovin; Nangia, Vinay; Palaiou, M.; Parodi, Maurizio Battaglia; Peña, Fernando Yaacov; Pesudovs, Konrad; Pető, Tünde; Quigley, Harry A.; Raju, Murugesan; Ramulu, Pradeep Y.; Resnikoff, Serge; Robin, Alan L.; Rossetti, Luca; Saaddine, Jinan B.; Sandar, Mya; Serle, Janet B.; Shen, Tueng T.; Shetty, Rajesh; Sieving, Pamela C.; Silva, Juan Carlos; Silvester, Alex; Sitorus, Rita S; Stambolian, Dwight; Stevens, Gretchen A; Taylor, Hugh R.; Tejedor, Jaime; Tielsch, James M.; Tsilimbaris, Miltiadis K.; Meurs, Jan van; Varma, Rohit; Virgili, Gianni; Volmink, Jimmy; Wang, Ya Xing; Wang, Ningli; West, Sheila K.; Wiedemann, Peter M.; Wong, Tien Yin; Wormald, Richard; Zheng, Yingfeng

doi:10.1016/s2214-109x(17)30293-0

Cited by 1,718 publications

(1,243 citation statements)

References 25 publications

Supporting

Mentioning

1,087

Contrasting

Unclassified

Order By: Relevance

“…Vision impairment and blindness are worldwide health concerns affecting 405 million and 36 million people, respectively 1. The most affected communities and countries are those with poor accessibility to services and inadequate resources.…”

Section: Introductionmentioning

confidence: 99%

Rapid assessment of avoidable blindness in Papua New Guinea: a nationwide survey

Lee

D’Esposito²,

Garap

et al. 2018

Br J Ophthalmol

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

Rapid assessment of avoidable blindness in Papua New Guinea: a nationwide survey

Lee

D’Esposito²,

Garap

et al. 2018

Br J Ophthalmol

Self Cite

View full text Add to dashboard Cite

show abstract

“…Globally, functional presbyopia affected 194.7 million people aged up to 35 years, and 666.7 million older than 50 years. The number of people with moderate and severe visual impairment also increased from 159.9 million in 1990 to 216.6 million in 2015 (12) . This contrasts with the evidence that early detection and the introduction of screening programs are part of the proactive clinical management required by the new requirements of care logic.…”

Section: Discussionmentioning

confidence: 99%

“…The degree of vision impairment, even if classified as mild, has a substantial effect on the quality of life. For example, in many countries, an individual with a vision level of 70% would be considered unfit for work duties (12) . The transforming effect of the method focuses on enabling the expansion of information with specialists in their health condition by serving as an alert.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of the self-eye examination method for health promotion

Lima

Nascimento²,

Silva

et al. 2018

Rev. esc. enferm. USP

View full text Add to dashboard Cite

Objective:To evaluate the self-eye examination practice as a tool to promote the ocular self-evaluation. Method: Quasi-experimental study developed in a university of Piauí with sample of 324 students between January and May 2014. A team of thirteen researchers made observations during the self-examination followed by an ocular screening. Results: There was no agreement on the hypothesis of defense that the ocular exam could help to observe the eyes health, p-value>0.3. However, the exam was considered as easy to accomplish (99.7%) and that not only the physician can perform the eye exam (99.4%). The awareness about eye care is identified as the main purpose of this booklet (97.6%), (χ 2 = 186.01; p=0.001). The results highlight the booklet can be used in the teaching process of self-eye examination (84.6%). Although the defense that its fulfilment can replace the consultation with the ophthalmologist (23.8%%) cannot be accepted (χ 2 = 46.34), the self-exam must be done routinely (82.4%). Conclusion: The results prove that the learning through virtual booklet is possible and supports self-care with the eyes by performing the self-exam.

show abstract

“…According to the latest data, in 2017 this organization estimated that 253 million people lived with vision impairment, of which 36 million were blind and 217 million had moderate to severe vision loss [3] among working-aged adults. Additionally, in 2050, it was estimated that the number of people with visual impairment could be triplicated [4]. Thus, an early detection of the retinal diseases, a correct treatment implementation and a reliable method to predict the patient's response to therapies, represent a major necessity in the biomedical and, in particular, in the ophthalmological fields [5].…”

Section: Motivationmentioning

confidence: 99%

Automatic macular edema identification and characterization using OCT images

Samagaio

Estévez

Moura

et al. 2018

Computer Methods and Programs in Biomedicine

View full text Add to dashboard Cite

A Tomografia de Coerência Óptica (TCO) consiste numa técnica de imagem médica não invasiva e ausente do contacto directo com o paciente que avalia in vivo a histopatologia do tecido. Esta tem sido amplamente utilizada no diagnóstico médico para identificar diversas patologias, não só associadas ao órgão em estudo no presente projecto, mas também a outras doenças em geral.A Retinopatia Diabética (RD) e a Degeneração Macular Relacionada à Idade (DMRI) são atualmente consideradas como duas das principais doenças oculares relacionadas com a perda de visão nos países desenvolvidos. Estas doenças têm em comum o acúmulo de líquido dentro do tecido retiniano, formando o Edema Macular (EM). A detecção e caracterização da acumulação de líquido intra-retiniano na mácula constitui uma questão oftalmológica crucial, dado que este fornece informações úteis na identificação e no diagnóstico dos diferentes tipos de EM, indicando consequentemente a gravidade da doença. Estes tipos de edemas da retina são clinicamente definidos, segundo a classificação de referência do campo, como: Descolamento Seroso Exsudativo da Retina (DSER), Edema Macular Difuso (EMD) e Edema Macular Cistoide (EMC).O presente trabalho visa o desenvolvimento de um sistema automático capaz de detectar e caracterizar os três tipos de EM usando imagens TCO. Este sistema de Diagnóstico Assistido por Computador (DAC) usará diferentes estratégias as quais combinam técnicas de processamento de imagem e de aprendizagem máquina com o conhecimento clínico. No caso do reconhecimento dos edemas DSER e EMC, espera-se a aplicação de abordagens com base nos diferentes limiares de intensidades característicos destes edemas, enquanto que para os EMD, dada a sua complexidade e aparência regional, deve ser aplicada uma estratégia de aprendizagem para explorar propriedades características dessa região.Esta solução permitirá assegurar a redução de custos relacionados com operações cirúrgicas e tratamento clínico aumentando assim a qualidade do diagnóstico, reduzindo a subjectividade inter-especialistas culminando na melhora da qualidade de vida do paciente. A produtividade e eficiência dos especialistas irá igualmente aumentar dado que esta solução irá o seu trabalho será facilitado. AbstractThe Optical Coherence Tomography (OCT) consists of a non-invasive and contactless medical image technique that evaluates in vivo the histopathology of the tissue. It has been widely used in medical diagnosis to identify a large range of pathologies, not only associated to the organ under the present study but also with other diseases in general.The diabetic retinopathy (DR) and the Age-related Macular Degeneration (AMD) are considered the two major eye diseases that are currently related with the vision loss in the developed countries. These diseases have in common the fluid accumulation within the retinal tissue round the macular region, forming the Macular Edema (ME). The detection and characterization of the intraretinal fluid accumulation constitutes a crucial ophthalmological issue as i...

show abstract

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

Abstract: Brien Holden Vision Institute.

Cited by 1,718 publications

References 25 publications

Rapid assessment of avoidable blindness in Papua New Guinea: a nationwide survey

Rapid assessment of avoidable blindness in Papua New Guinea: a nationwide survey

Evaluation of the self-eye examination method for health promotion

Automatic macular edema identification and characterization using OCT images

Contact Info

Product

Resources

About