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Record W4415054840 · doi:10.3171/2025.6.peds2523

Impact of barrel stave osteotomy on cephalometric measurements in patients who have undergone endoscopic repair of sagittal craniosynostosis

2025· article· en· W4415054840 on OpenAlexaff
Benjamin Brakel, Mandeep S. Tamber, Isabella Watson, Anne Miller, Patrick J. McDonald, Ash Singhal, Faizal Haji

Bibliographic record

VenueJournal of Neurosurgery Pediatrics · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCraniofacial Disorders and Treatments
Canadian institutionsUniversity of ManitobaBC Children's HospitalMcGill UniversityUniversity of British Columbia
Fundersnot available
KeywordsOsteotomyDeformitySagittal planeCraniosynostosisBarrel (horology)Congenital disease

Abstract

fetched live from OpenAlex

OBJECTIVE: The treatment of sagittal craniosynostosis typically involves endoscopic suturectomy (ES) to allow skull expansion, followed by postoperative helmet orthosis, resulting in an improvement in cranial deformity as assessed using the cephalic index (CI). The impact of variations in surgical technique on long-term CI outcomes is not well understood, and there is controversy regarding whether adding barrel stave osteotomy (BSO) to standard ES leads to greater improvement in the CI postoperatively. This combined approach is thought to improve cranial shape and overall clinical outcomes but may increase operative burden. The aim of this study was to investigate the impact of BSO during ES on operative outcomes and postoperative cranial deformity in patients who underwent surgical correction of sagittal craniosynostosis. METHODS: The authors conducted a retrospective chart review of children who had been treated with ES for sagittal craniosynostosis between 2010 and 2021 at British Columbia Children's Hospital. Demographics, operative outcomes, and postoperative longitudinal CI measurements were collected and compared between patients who had undergone ES with BSO (ES+BSO) and those who had undergone ES alone. Operative outcomes related to anesthesia and surgical time, blood loss, and hospital length of stay were analyzed, as were changes in the CI at various follow-up times. A mixed-effects model was used to compare longitudinal CI measurements between treatment groups, controlling for patient age, preoperative CI, and duration of helmet therapy. RESULTS: Eighty-five patients were included in the analysis, 67 treated with ES+BSO and 18 treated with ES. Operative outcomes, including length of hospital stay, operative time, time under anesthesia, blood loss, and need for transfusion did not differ significantly between treatment groups (p > 0.05). The mean follow-up for the last CI measurements was 56.0 months. While preoperative CI was similar for the two groups (mean 67.4 for ES+BSO vs 66.8 for ES, p = 0.61), CI was significantly higher in the ES+BSO group immediately postoperatively (p = 0.004) and at the 6-month (p = 0.01), 2-year (p = 0.02), and final (p = 0.002) follow-ups. A mixed-effects model revealed that the addition of BSO led to significantly greater CI measurements independent of age, preoperative CI, and helmeting duration (estimated effect size 2.21, p = 0.001). CONCLUSIONS: In this series, the addition of BSO to ES significantly improved immediate and long-term cranial deformity in patients with sagittal craniosynostosis, without increasing the operative burden.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.014
GPT teacher head0.273
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations1
Published2025
Admission routes1
Has abstractyes

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