Purpose: Alternative non-standard paediatric visual field (VF) tests have been developed to address the challenges associated with standard approaches. However, diagnostic accuracy of these new VF tests has not yet been rigorously evaluated. This systematic review aims to explore diagnostic accuracy and feasibility of non-standard VF tests in paediatric patients.
Methods: The following databases were searched for English language studies comparing a non-standard paediatric VF test to standard methods, such as standard automated perimetry (SAP), manual kinetic perimetry (MKP) and confrontation testing (CT): EMBASE, PubMed, Ovid MEDLINE, Web of Science, Scopus, VisionCite, Cochrane Library, ClinicalTrials.gov, African Index Medicus, LILACS, Trip and grey literature databases. Studies included were of children ≤18 years old with suspected or known VF defects (n > 3). Case reports, case series, editorials and letters were excluded. This review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Risk of bias was assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool.
Results: Thirty studies (n = 2074 children, age range: 2 months to 18 years) published between 1990 and 2023 met the inclusion/exclusion criteria. Twenty index tests were reported, sorted into four categories of methods: behavioural/observational (5), electrophysiological (2), modifications of standard perimetry (11) and eye tracking (2). Risk of bias, based on the QUADAS-2 results, was unclear or high for most studies. Sensitivities of 10 studies (behavioural/observational [2]; electrophysiological [2]; modifications of standard perimetry [2] and eye tracking [4]) were 60%-100%, 75%, 80%-94% and 70%-100%, and specificities were 98%-100%, 86%-88%, 68%-100% and 50%-100%, respectively.
Conclusions: Alternative non-standard paediatric VF tests, and behavioural/observational methods in particular, show potential for adequate diagnostic accuracy and feasibility, although limited to certain conditions and ages. Studies with complete reporting and low risk of bias are needed to determine the diagnostic accuracy and feasibility of non-standard paediatric VF tests.
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http://dx.doi.org/10.1111/opo.13449 | DOI Listing |
Appl Neuropsychol Adult
January 2025
Faculty Xavier Institute of Engineering, Mahim, India.
In the fields of engineering, science, technology, and medicine, artificial intelligence (AI) has made significant advancements. In particular, the application of AI techniques in medicine, such as machine learning (ML) and deep learning (DL), is rapidly growing and offers great potential for aiding physicians in the early diagnosis of illnesses. Depression, one of the most prevalent and debilitating mental illnesses, is projected to become the leading cause of disability worldwide by 2040.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Computer Science and Software Engineering, United Arab Emirates University, Al Ain, United Arab Emirates.
Background: Neuroimaging segmentation is increasingly important for diagnosing and planning treatments for neurological diseases. Manual segmentation is time-consuming, apart from being prone to human error and variability. Transformers are a promising deep learning approach for automated medical image segmentation.
View Article and Find Full Text PDFCrit Care Sci
January 2025
Department of Neurointensive Care, Instituto Estadual do Cérebro Paulo Niemeyer - Rio de Janeiro (RJ), Brazil.
Objective: To define the incidence of ventriculostomy-associated infections and their impact on the mortality and functional outcomes of patients with aneurysmal subarachnoid hemorrhage.
Methods: We prospectively included all consecutive adult aneurysmal subarachnoid hemorrhage patients admitted to the neurological intensive care units of the Instituto Estadual do Cérebro Paulo Niemeyer (Rio de Janeiro, Brazil) and Hospital Cristo Redentor (Rio Grande do Sul, Brazil) who required external ventricular drains from July 2015 to December 2020. Daily clinical and laboratory variables were collected at admission and during the hospital stay.
Codas
January 2025
Programa de Pós-graduação em Distúrbios da Comunicação Humana, Departamento de Fonoaudiologia, Universidade Federal de Santa Maria - UFSM - Santa Maria (RS), Brasil.
Purpose: To present the criterion validity, sensitivity, specificity, and cut-off scores for the Profiles of Early Expressive Phonological Skills Test - Brazilian Portuguese (PEEPS-BP) - Expanded List.
Methods: This was a quantitative cross-sectional psychometric study. The sample consisted of 30 children with no identified neurodevelopmental disorders aged 24 to 36 months.
Arq Bras Oftalmol
January 2025
Department of Ophthalmology and Visual Sciences, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brazil.
Purpose: To assess the sensitivity and specificity of the retinopathy of prematurity score (ROPScore) and weight, insulin-like growth factor-1, retinopathy of prematurity algorithm in predicting the risk of developing severe retinopathy of prematurity (prethreshold type 1) in a sample of preterm infants in Brazil.
Methods: Retrospective analysis of medical records of preterm infants (n=288) with birth weight of ≤1500 g and/or gestational age of 23-32 weeks in a neonatal unit in Southern Brazil from May 2013 to December 2020 (92 months).
Results: The incidence of confirmed severe retinopathy of prematurity was 6.
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