Comparison of perceptions and treatment practices between neurosurgeons and plastic surgeons for infants with deformational plagiocephaly
Bibliographic record
Abstract
OBJECT: Deformational plagiocephaly (DP) is the leading cause of head shape abnormalities in infants. Treatment options include conservative measures and cranial molding. Pediatric neurosurgeons and craniofacial plastic surgeons have yet to agree on an ideal therapy, and no definable standards exist for initiating treatment with helmets. Furthermore, there may be differences between specialties in their perceptions of DP severity and need for helmet therapy. METHODS: Requests to participate in a web-based questionnaire were sent to diplomates of the American Board of Pediatric Neurological Surgery and US and Canadian members of the Pediatric Joint Section of the American Association of Neurological Surgeons and the Congress of Neurological Surgeons and the American Cleft Palate-Craniofacial Association. Questions focused on educational background; practice setting; volume of DP patients; preferences for evaluation, treatment, follow-up; and incentives or deterrents to treat with helmet therapy. Six examples of varying degrees of DP were presented to delineate treatment preferences. RESULTS: Requests were sent to 302 neurosurgeons and 470 plastic surgeons, and responses were received from 71 neurosurgeons (24%) and 64 plastic surgeons (14%). The following responses represented the greatest variations between specialties: 1) 8% of neurosurgeons and 26% of plastic surgeons strongly agreed with the statement that helmet therapy is more beneficial than conservative therapy (p < 0.01); and 2) 25% of neurosurgeons and 58% of plastic surgeons would treat moderate to severe DP with helmets (p < 0.01). CONCLUSIONS: Survey responses suggest that neurosurgeons are less likely to prescribe helmet therapy for DP than plastic surgeons. Parents of children with DP are faced with a costly treatment decision that may be influenced more strongly by referral and physician bias than medical evidence.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".