Navegando por Palavras-chave "risk of bias"

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    Assessing Risk of Bias in Randomized Controlled Trials for Autism Spectrum Disorder
    (Frontiers Media Sa, 2017) Martins Okuda, Paola Matiko [UNIFESP]; Klaiman, Cheryl; Bradshaw, Jessica; Reid, Morganne; Cogo-Moreira, Hugo [UNIFESP]
    Aim: To determine construct validity and reliability indicators of the Cochrane risk of bias (RoB) tool in the context of randomized clinical trials (RCTs) for autism spectrum disorder (ASD). Methods: Confirmatory factor analysis was used to evaluate a unidimensional model consisting of 9 RoB categorical indicators evaluated across 94 RCTs addressing interventions for ASD. Results: Only five of the nine original RoB items returned good fit indices and so were retained in the analysis. Only one of this five had very high factor loadings. The remaining four indicators had more measurement error than common variance with the RoB latent factor. Together, the five indicators showed poor reliability (omega = 0.687; 95% CI: 0.613-0.761). Conclusion: Although the Cochrane model of RoB for ASD exhibited good fit indices, the majorities of the items have more residual variance than common variance and, therefore, did not adequately capture the RoB in ASD intervention trials.
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    Assessing risk of bias in randomized controlled trials of methylphenidate for children and adolescents with attention deficit hyperactivity disorder (ADHD)
    (Wiley, 2018) Rodrigues-Tartari, Raissa [UNIFESP]; Swardfager, Walter; Salum, Giovanni A.; Rohde, Luis A.; Cogo-Moreira, Hugo [UNIFESP]
    To test how reliable the tool recommend by Cochrane Collaboration for assessing risk of bias systematic reviews of randomized clinical trials is in the context of methylphenidate for children and adolescents with attention deficit hyperactivity disorder. Confirmatory factor analysis was used to evaluate a unidimensional model for the 7 indicators, applied to 184 Randomized Clinical Trial (RCTs) within a 2015 Cochrane systematic review titled Methylphenidate for children and adolescents with attention deficit hyperactivity disorder. A unidimensional model resulted in excellent adequacy indices, but only 2 indicators had very high factor loadings and low measurement errors. In terms of content, the 7 indicators showed poor reliability (=0.642)