Cancers · 2021 · 14 citations · 78 references
NursingPediatricsPsychologyChild DevelopmentDevelopmental PsychologyFunctional AssessmentAdaptive FunctioningCognitive ImpairmentCognitive-functional AssessmentDevelopmental AssessmentFunctional Independence AssessmentFunctional StatusAcademic Achievement AssessmentAdaptive Functioning AssessmentBrain Tumor SurvivorsFunctional Independence MeasureLong-term Neurological SequelaePediatric Cognitive AssessmentPediatric Neurocognitive AssessmentSelf-reported Functional Capacity
(1) Background: Brain tumor (BT) survivors show difficulties in the acquisition of developmental milestones, related to academic achievement, vocational employment, social relationships, and autonomy. The skills underlying adaptive functioning (AF) are usually damaged in BT survivors due to the presence of the brain tumor, treatment-related factors, and other neurological sequelae. In this study, we aimed to explore the contribution of different cognitive factors in children with BT to AF, considering diagnosis-related variables. (2) Methods: Standardized cognitive assessment was undertaken and clinical information was collected from a retrospective cohort of 78 children with a BT, aged between 6 and 18 year old at the time of the assessment. Regression models were computed to investigate the influence of the selected variables on daily functional skills as measured by the Functional Independence Measure for Children (WeeFIM). (3) Results: The analyses showed that the main explanatory variables are processing speed and time since diagnosis. Other clinical variables, such as age at diagnosis and hydrocephalus, differentially influence functional skills according to distinct domains (i.e., self-care, mobility, and cognition). (4) Conclusions: The main explanatory variables of AF that emerged in our models point to a potential target of improving AF management in pediatric BT survivors.
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Claudia Allemani, Tomohiro Matsuda, V Di Carlo et al. · The Lancet · 2018 · 6.2K citations · Full text
Medicine, Biostatistics, Oncology +17
A solution to minimum sample size for regressions
David G. Jenkins, Pedro F. Quintana‐Ascencio · PLoS ONE · 2020 · 657 citations · Full text