Application of Prechtl's Method on the Qualitative Assessment of General Movements to Predict Neuromotor Outcomes of Premature Babies at one year Corrected Age – Study from a Clinical Facility in Dubai
Bibliographic record
Abstract
Background and purpose: Prechtl's general movement assessment is a tool to identify infants at risk of abnormal neurodevelopmental outcomes especially cerebral palsy. There is a need for further studies to establish its effectiveness in clinical practice. The main objective of this study was to find the diagnostic accuracy of prechtl's general movement assessment to predict neuromotor outcomes of preterm babies at one year corrected age when done in a standard clinical practice setting. The secondary objective was to find the inter-rater reliability of general movement assessment between two raters in a clinical setting.Methods: 116 preterm infants (55 females and 61 males) born below gestational age 35 weeks participated in this study. Prechtl's general movement assessment was done at two points of time – once between 33 to 40 weeks post menstrual age and later between 3 to 4 months corrected age. Babies were reassessed at 12 months (±1week) corrected age using the Infant Neurological International Battery and Alberta Infant Motor Scale to identify neuromotor dysfunction. To find the inter-rater reliability, 75 video recordings at preterm/term age and 73 recordings at fidgety age were viewed and rated independently by two raters.Results: Statistical analysis using the Fishers' exact test and Pearson's chi-square test showed significant association (p<.001) between Prechtl's General movement assessment and neuromotor outcomes at one year corrected age. General movement assessment at preterm age and fidgety age showed sensitivity of 85% (each) , specificity of 85% & 99%, positive predictive value of 27% & 85 %, and negative predictive value of 98% & 99% respectively in predicting neuromotor outcomes. Substantial agreement was found between two trained raters. Kappa values were 0.78 and 0.72for assessments done at preterm/ term age and three months corrected age respectively.Conclusion: The results suggest that Prechtl's general movement assessment done in routine clinical settings can reliably predict neuromotor outcomes of premature babies at one year corrected age. Thus, it has practical applications to identify premature babies at high risk of abnormal neurodevelopment in infancy.
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 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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".