Assessing Long-Term Neurodevelopment among Children with Non-Syndromic Single Suture Craniosynostosis
Bibliographic record
Abstract
Background: Single suture craniosynostosis (SSC) is a disorder, affecting brain growth. Reviewing literature reveals controversialists of papers in this field. Methods: This prospective study was conducted from 2014 to 2016. All the individuals, aged 2 to 16 years, whose medical records files were complete, with SSC from 1999 to 2013 were included. All patients had undergone cranial vault remodeling at Mofid Hospital, Tehran, Iran. Wechsler questionnaires, WPPSI-III and WISC-IV, were completed for each child based on his/her age. Results: Seventy children were included, with the mean age of 6.7 (±2.9) years. Forty-six (65.7%) children were boys while 24 (34.3%) were girls. Mean FSIQ for all of children was 95.5 (±13.2). Mean verbal IQ, performance IQ, verbal comprehension, perceptual reasoning, processing speed, and working memory are 93.4 (±14.1), 96.1 (±13.3), 97.5 (±13.9), 102.2 (±12.5), 94.5 (±9.8), and 97.5 (±12.9), respectively. There was statistically significant difference between FSIQ of children with SSC and that of unaffected children (P-value<0.05). There was significant difference between verbal IQ of children with SSC and that of unaffected ones (P-value< 0.007). There was significant difference between in processing speed between affected children and unaffected children (P-value<0.012). Conclusion: Children, aged 2 to 6 years, with SSC had a significantly lower Verbal IQ, and children, aged 6 to 16 years, with SSC had a significantly lower processing speed than their healthy counterparts. Though FSIQ of children with SSC falls within normal range, it is a little lower than healthy peers.
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".