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

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...

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Autores principales: Pires, Camila da Silva, Marba, Sérgio Tadeu Martins, Caldas, Jamil Pedro de Siqueira, Stopiglia, Mônica de Carvalho Sanchez
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade de Pediatria de São Paulo 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7212559/
https://www.ncbi.nlm.nih.gov/pubmed/32401947
http://dx.doi.org/10.1590/1984-0462/2020/38/2018286
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author Pires, Camila da Silva
Marba, Sérgio Tadeu Martins
Caldas, Jamil Pedro de Siqueira
Stopiglia, Mônica de Carvalho Sanchez
author_facet Pires, Camila da Silva
Marba, Sérgio Tadeu Martins
Caldas, Jamil Pedro de Siqueira
Stopiglia, Mônica de Carvalho Sanchez
author_sort Pires, Camila da Silva
collection PubMed
description 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.
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spelling pubmed-72125592020-05-13 PREDICTIVE VALUE OF THE GENERAL MOVEMENTS ASSESSMENT IN PRETERM INFANTS: A META-ANALYSIS Pires, Camila da Silva Marba, Sérgio Tadeu Martins Caldas, Jamil Pedro de Siqueira Stopiglia, Mônica de Carvalho Sanchez Rev Paul Pediatr Review Article 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. Sociedade de Pediatria de São Paulo 2020-05-08 /pmc/articles/PMC7212559/ /pubmed/32401947 http://dx.doi.org/10.1590/1984-0462/2020/38/2018286 Text en https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License
spellingShingle Review Article
Pires, Camila da Silva
Marba, Sérgio Tadeu Martins
Caldas, Jamil Pedro de Siqueira
Stopiglia, Mônica de Carvalho Sanchez
PREDICTIVE VALUE OF THE GENERAL MOVEMENTS ASSESSMENT IN PRETERM INFANTS: A META-ANALYSIS
title PREDICTIVE VALUE OF THE GENERAL MOVEMENTS ASSESSMENT IN PRETERM INFANTS: A META-ANALYSIS
title_full PREDICTIVE VALUE OF THE GENERAL MOVEMENTS ASSESSMENT IN PRETERM INFANTS: A META-ANALYSIS
title_fullStr PREDICTIVE VALUE OF THE GENERAL MOVEMENTS ASSESSMENT IN PRETERM INFANTS: A META-ANALYSIS
title_full_unstemmed PREDICTIVE VALUE OF THE GENERAL MOVEMENTS ASSESSMENT IN PRETERM INFANTS: A META-ANALYSIS
title_short PREDICTIVE VALUE OF THE GENERAL MOVEMENTS ASSESSMENT IN PRETERM INFANTS: A META-ANALYSIS
title_sort predictive value of the general movements assessment in preterm infants: a meta-analysis
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7212559/
https://www.ncbi.nlm.nih.gov/pubmed/32401947
http://dx.doi.org/10.1590/1984-0462/2020/38/2018286
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