The Assessment of General Movements in Term and Late-Preterm Infants Diagnosed with Neonatal Encephalopathy, As a Predictive Tool of Cerebral Palsy by Two Years of Age - A Scoping Review.
Bibliographic record
Abstract
Abstract BACKGROUND The General Movements Assessment is a non-invasive and cost-effective tool with demonstrated reliability for identifying infants at risk for cerebral palsy. Early detection of cerebral palsy allows for implementation of early intervention, and is associated with better functional outcomes. No review to date has summarized the utility of the General Movements Assessment to predict cerebral palsy in term and late-preterm infants diagnosed with neonatal encephalopathy and so detect the research gaps. METHODS We conducted a systematic scoping review for data on sensitivity, specificity, positive and negative predictive value and described the strengths and limitations of the results. We searched five databases (MEDLINE, Embase, PsychINFO, Scopus and CINAHL). Two reviewers conducted all screening and data extraction independently. The articles were categorized according key findings and a critical appraisal performed.RESULTS From the electronic database search, only two studies, case series, met all of the inclusion criteria. The total number of participants were 60. Neither of the final eligible studies included late-preterm neonates. Both studies reported on sensitivity, specificity, positive predictive and negative predictive value. The newer study reported that in the time period between term and 4-5 months post-term, that any cramped synchronized movements in this time period had results of 100% sensitivity and variable results for specificity, positive predictive value and negative predictive value. Neither of the studies had infants that received therapeutic hypothermia for Neonatal Encephalopathy. CONCLUSIONS The finding of cramped synchronized General Movements is a strong predictor of cerebral palsy by two years of age in the term population. Neonatal encephalopathy has an effect on spontaneous movements in term infants, be it transient or persistent. The predictive ability of spontaneous movements is very accurate when assessed early but improves when done later (at 15-22 weeks of age). A deficit of research exists with regards to cerebral palsy prediction using general movements in term and late-preterm infant with encephalopathy, especially when therapeutic hypothermia is instituted. Systematic review registration Title registration with Joanna Briggs Institute. URL: http://joannabriggs-webdev.org/research/registered_titles.aspx
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.063 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.006 |
| Bibliometrics | 0.018 | 0.014 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".