Utility of the Ages and Stages Questionnaires 3rd Edition for Developmental Screening in Children with Surgically Repaired Congenital Heart Disease
Bibliographic record
Abstract
Aim: This study sought to evaluate the accuracy of the Ages and Stages Questionnaires 3rd Edition (ASQ-3) in identifying developmental delay (DD) in children with congenital heart disease (CHD) born at term who underwent surgical repair.Methods: Participants had to complete ASQ-3 and Bayley Scales of Infant and Toddler Development 3rd Edition (BSID-III) at 12 and 24 months. A child was considered at risk of DD for a ASQ-3 domain when he scored below the cutoff (≤-1SD or ≤-2SD). A child had a DD in a BSID-III domain when the score was ≤-1SD. The validity for each ASQ-3 domain and for overall ASQ-3 was measured.Results: At 12 months (n = 64), overall ASQ-3 (≤-2SD) sensitivity was 88%, specificity 74%. At 24 months (n = 82), overall ASQ-3 (≤-2SD) sensitivity was 74%, specificity 88%.Conclusion: The results support the utility of the ASQ-3 for screening the overall risk of DD in children with CHD.
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".