Publications by authors named "G Canto"
Background: High-grade gliomas (HGG) are the most aggressive primary brain tumors with poor prognoses despite conventional treatments. Immunotherapy has emerged as a promising avenue due to its potential to elicit a targeted immune response against tumor cells.
Objective: This meta-analysis aimed to evaluate the efficacy and safety of various immunotherapeutic strategies, including immune checkpoint inhibitors (ICI), virotherapy, and dendritic cell vaccines (DCV) in treating HGG.
Objective: To systematically review studies on the effects of early stimulation on the neuropsychomotor development of children with microcephaly.
Data Source: A systematic review was conducted in PubMed/MEDLINE, Virtual Health Library, and Cochrane Library databases. Studies that addressed the use of early stimulation in playful and interactive environments in children with microcephaly were included.
Background: Non-nutritive sucking habits likely may cause occlusal changes such as anterior open bite (AOB) if they persist over extended time.
Objectives: To assess if there is self-correction of AOB after cessation of non-nutritive sucking habits in children older than 4 years old, through a systematic review.
Search Methods: Data sources included PubMed, Scopus, Web of Science and Latin American and Caribbean Health Sciences (LILACS) databases, gray literature as Google Scholar, the database System for Information on Gray Literature in Europe (OpenGrey) and ProQuest Dissertations and Theses Database, also hand searches of the included studies references.
Objectives: This systematic review aimed to answer the following question 'What are the worldwide prevalence of SARS-CoV-2 infection and associated factors among oral health-care workers (OHCWs) before vaccination?'
Methods: Seven databases and registers as well as three grey databases were searched for observational studies in the field. Paired reviewers independently screened studies, extracted data and assessed the methodological quality. Overall seroprevalence for SARS-CoV-2 infection was analysed using a random-effect model subgrouped by professional category.