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Record W2612970137 · doi:10.1016/j.jped.2017.03.003

Motor development of preterm infants assessed by the Alberta Infant Motor Scale: systematic review article

2017· review· en· W2612970137 on OpenAlexaboutno aff
Rubia do Nascimento Fuentefria, Rita C. Silveira, Renato S. Procianoy

Bibliographic record

VenueJornal de Pediatria · 2017
Typereview
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGross motor skillPediatricsMotor skillPopulationChild developmentMEDLINEPsychiatryEnvironmental health

Abstract

fetched live from OpenAlex

Premature newborns are considered at risk for motor development deficits, leading to the need for monitoring in early life. The aim of this study was to systematically review the literature about gross motor development of preterm infants, assessed by the Alberta Infant Motor Scale (AIMS) to identify the main outcomes in development. Systematic review of studies published from 2006 to 2015, indexed in Pubmed, Scielo, Lilacs, and Medline databases in English and Portuguese. The search strategy included the keywords: Alberta Infant Motor Scale, prematurity, preterm, motor development, postural control, and follow-up. A total of 101 articles were identified and 23 were selected, according to the inclusion criteria. The ages of the children assessed in the studies varied, including the first 6 months up to 15 or 18 months of corrected age. The percentage variation in motor delay was identified in the motor outcome descriptions of ten studies, ranging from 4% to 53%, depending on the age when the infant was assessed. The studies show significant differences in the motor development of preterm and full-term infants, with a description of lower gross scores in the AIMS results of preterm infants. It is essential that the follow-up services of at-risk infants have assessment strategies and monitoring of gross motor development of preterm infants; AIMS is an assessment tool indicated to identify atypical motor development in this population. Recém-nascidos prematuros são considerados de risco para déficits no desenvolvimento motor, ocasionando a necessidade de acompanhamento nos primeiros anos de vida. O objetivo do presente estudo é revisar de forma sistemática as publicações que abordam o desenvolvimento motor amplo de crianças nascidas prematuras, avaliadas por meio da Alberta Infant Motor Scale (AIMS), de modo à apontar os principais desfechos motores. Revisão sistemática das publicações do período de 2006 a 2015, indexadas nas bases de dados Pubmed, Scielo, Lilacs e Medline, nos idiomas inglês e português. A estratégia de busca incluiu palavras-chaves: prematuro, pré-termo, prematuridade, desenvolvimento motor, controle postural, seguimento, Alberta Infant Motor Scale, prematurity, pre-term, motor development, postural control and follow-up. Foram identificados 101 artigos e selecionados 23, conforme critérios de inclusão. As idades das crianças avaliadas nos estudos incluíram os primeiros 6 meses até os 15 ou 18 meses de idade corrigida. Variado percentual de atraso motor foi identificado na descrição dos desfechos motores de 10 estudos, indo de 4 a 53%, dependendo da idade em que o bebê foi avaliado. Os estudos apontam diferenças significativas no desenvolvimento motor de prematuros e crianças nascidas a termo, com descrição de escores brutos mais baixos nos resultados da AIMS de crianças prematuras. É fundamental que os serviços de follow-up de bebês de risco apresentem estratégias de avaliação e acompanhamento do desenvolvimento motor amplo de prematuros, sendo a AIMS uma ferramenta de avaliação indicada para identificar comportamentos motores atípicos nessa população.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.997
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0080.008
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.038
GPT teacher head0.341
Teacher spread0.303 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designSystematic review
DomainMethods
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations104
Published2017
Admission routes1
Has abstractyes

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