PREDICTIVE VALUE OF THE GENERAL MOVEMENTS ASSESSMENT IN PRETERM INFANTS: A META-ANALYSIS

• Autor(a) principal: Pires,Camila da Silva
• Data de Publicação: 2020
• Outros Autores: Marba,Sérgio Tadeu Martins, Caldas,Jamil Pedro de Siqueira, Stopiglia,Mônica de Carvalho Sanchez
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Revista Paulista de Pediatria (Ed. Português. Online)
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-05822020000100509
• topic: Neurologic examination; Infant, premature; Prognosis; Cerebral palsy

ABSTRACT Objective: To discuss the predictive value of the General Movements Assessment for the diagnosis of neurodevelopment disorders in preterm newborns. Data source: We conducted a systematic literature review using the following databases: Scientific Electronic Library Online (SciELO), National Library of Medicine, National Institutes of Health (PubMed), and Excerpta Medica Database (EMBASE). The articles were filtered by language, year of publication, population of interest, use of Prechtl’s Method on the Qualitative Assessment of General Movements, and presence of variables related to the predictive value. The Quality Assessment of Diagnostic Accuracy Studies 2 was used to assess the methodology of the included studies. Sensitivity, specificity, Diagnostic Odds Ratio, positive and negative likelihood ratio, and parameter of accuracy were calculated. Data synthesis: Six of 342 articles were included. The evaluation of Writhing Movements is a good indicator for recognizing cerebral palsy, as it has high values for the sensitivity and accuracy parameters. The evaluation of Fidgety Movements has the strongest predictive validity for cerebral palsy, as it has high values in all measures of diagnostic accuracy. The quality assessment shows high risk of bias for patient selection and flow and timing of the evaluation. Therefore, the scale has potential to detect individuals with neurodevelopment disorders. However, the studies presented limitations regarding the selection of subjects and the assessment of neurological outcomes. Conclusions: Despite the high predictive values of the tool to identify neurological disorders, research on the subject is required due to the heterogeneity of the current studies.