Prioritizing neurosurgical education for pediatricians: results of a survey of pediatric neurosurgeons
Bibliographic record
Abstract
OBJECT: Pediatricians play a vital role in the diagnosis and initial treatment of children with pediatric neurosurgical disease. Exposure of pediatrics residents to neurosurgical diseases during training is inconsistent and is usually quite limited. After residency, opportunities for pediatricians' education on neurosurgical topics are few and fall mainly on pediatric neurosurgeons. The American Association of Neurological Surgery/Congress of Neurological Surgeons Joint Section on Pediatric Neurological Surgery Committee on Education undertook a survey of practicing pediatric neurosurgeons to determine whether focused education of practicing pediatricians might lead to better patient outcomes for children with a sampling of common pediatric neurosurgical conditions. METHODS: An Internet-based 40-item survey was administered to practicing pediatric neurosurgeons from the US and Canada identified from the roster of the American Association of Neurological Surgeons/Congress of Neurological Surgeons Joint Section of Pediatric Neurological Surgery. Survey topics included craniosynostosis and plagiocephaly, occult spinal dysraphism and tethered cord, hydrocephalus and endoscopic third ventriculostomy, Chiari malformation Type I, mild or minor head injury, spastic cerebral palsy, and brain tumors. Most questions pertained to diagnosis, initial medical treatment, and referral. RESULTS: One hundred three (38%) of the 273 practicing pediatric neurosurgeons completed the survey. Two-thirds of the respondents had completed a pediatric neurosurgery fellowship, and two-thirds were in academic practice. Eighty-two percent of the respondents agreed that the care of pediatric neurosurgical patients could be improved with further education of pediatricians. In the opinion of the respondents, the 3 disease topics in greatest need of educational effort were craniosynostosis and plagiocephaly, occult spinal dysraphism and tethered cord, and hydrocephalus. Head injury and spasticity were given the lowest priorities. CONCLUSIONS: This survey identified what practicing pediatric neurosurgeons perceive to be the most important knowledge deficits of their colleagues in pediatrics. These perceptions may not necessarily be congruent with the perceptions of practicing pediatricians themselves; nevertheless, the data from this survey may serve to inform conversations between neurosurgeons and planners of continuing medical education for pediatricians, pediatrics residency program directors, and medical school pediatrics faculty.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.007 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".