Incidence of perinatal complications in children with premature craniosynostosis
Bibliographic record
Abstract
AIMS: To study the incidence of perinatal complications in children diagnosed with premature craniosynostosis and their mothers. METHODS: Questionnaires were sent to all women (n=220) who delivered a child diagnosed either pre- or postnatally with craniosynostosis and treated at the University Hospital of Innsbruck, Austria between January 1, 1990 and October 10, 2007. The incidence of various complications in the group of children with craniosynostosis was compared with data from the Birth Registry of Tyrol, which served as a comparison population in this study (n=57,317). RESULTS: A total of 46.4% of the questionnaires were returned (n=102). Children diagnosed with craniosynostosis showed a significantly higher rate of fetal malpresentations at birth [P<0.001; OR 2.38 (CI 1.53-3.70)] compared to the general population. In particular, the rate of abnormal cephalic [P<0.001; OR 3.42 (CI 2.03-5.76)] and breech presentations [P=0.01; OR 2.39 (CI 1.27-4.49)] was significantly increased. In 10% of all neonates the Apgar score (P=0.001) as well as the pH-value (P<0.001) was found to be at least one category lower than in the comparison population. CONCLUSIONS: Children diagnosed with craniosynostosis have a significantly higher rate of numerous birth complications compared to the overall births documented at the Birth Registry of Tyrol.
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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 | 0.003 |
| 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".