Global developmental delay and its relationship to cognitive skills
Bibliographic record
Abstract
Global developmental delay (GDD) is defined as evidence of significant delays in two or more developmental domains. Our study determined the cognitive skills of a cohort of young children with GDD. A retrospective chart review of all children diagnosed with GDD within a single developmental clinic was carried out. Scores on fine motor (Peabody Developmental Motor Scale 2), expressive language (Expressive One Word Picture Vocabulary Test) and receptive language (Reynell Developmental Language Scales or Clinical Evaluation of Language Fundamentals - Preschool 2) testing, and cognitive performance (Wechsler Preschool and Primary Scale of Intelligence, Third Edition) were obtained. A multiple regression analysis was performed and correlations obtained. Results from a total of 93 patients (86 males, seven females) were retained for analysis. Mean age was 3 years 8 months (SD 10mo, range 2.5-4.75y). Cognitive scores were widely distributed, with 73% of participants displaying a global IQ score of 70 or more, despite concurrent global delay. Significant correlation was present for fine motor and expressive language scores, when isolated and compared with cognitive performance (p values of 0.04 and 0.05 respectively). The conclusion was made that an initial diagnosis of GDD is not necessarily associated with objective cognitive impairment.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".