As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
Meta-Analysis of the Sensitivity of Decision Support Systems in Diagnosing Diabetic Retinopathy
Priscyla Waleska Simões, Maitê Gabriel dos Passos, Laura Lopes Amaral, Diego Garcia, Ronaldo Borges Vicente, Larissa Letieli Toniazzo de Abreu, Jéssica Katelyn de Siqueira Vieira, Maria Marlene de Souza Pires, Eros Comunello, Luciane Bisognin Ceretta, Claudia Maria Cabral Moro Barra, Harki Tanaka, Deborah Ribeiro de Carvalho, Tiago Ribeiro de Oliveira, Patrícia Duarte Simões Pires
Diabetic Retinopathy (DR) is one of the most common microvascular complications presenting by patients diagnosticated with diabetic diseases. Uncontrolled hyperglycemia may manifest as visual impairment and blindness. The early detection of DR is essential to minimize the risk and consequence of visual diminishing. The standard gold diagnoses tool relies on different imaging modalities and requires a judgment of expert photographers, which are not available in most of the primary care centers or remote location. In that scenario, an automate or semiautomated DR screening systems can contribute to improving the accuracy of the diagnostic. Thus, we performed a Systematic Review and Meta-Analysis to evaluate the Decision Support Systems (DSS) in diagnosing DR. The overall Diagnostic Odds Ratio was 73.15 (95%CI: 37.54–142.50), sensitivity was 97.70 (95%CI: 97.50–97.90) and specificity was 90.30 (95%CI: 90.00–90.60). Our results corroborate with the concept of usefulness of DSSs in early diagnosis, screening and preliminary evaluation of suspicious images of DR.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.