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Record W4407270065 · doi:10.1016/j.inat.2025.101998

Surgical management of intracranial hypertension in rickets-related craniosynostosis

2025· article· en· W4407270065 on OpenAlexaff
Alessio Iacoangeli, Sergio Capelli, Andrea Held, Emidio Procaccini, Davide Luglietto, Matteo Barba, Alessandro De Benedictis, Carlo Gandolfo, Carlo Efisio Marras

Bibliographic record

VenueInterdisciplinary Neurosurgery · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCraniofacial Disorders and Treatments
Canadian institutionsSurgical Specialties (Canada)
FundersMinistero della SaluteOspedale Pediatrico Bambino Gesù
KeywordsMedicineCraniosynostosisRicketsSurgeryPediatricsVitamin D and neurologyInternal medicine

Abstract

fetched live from OpenAlex

• Hypophosphatemic ricket is occasionally associated with craniosynostosis. • Sinus pericranii is a rare radiological manifestation of intracranial hypertension. • Bilateral cranial expansion may be effective in normalizing intracranial pressure. Hypophosphatemic rickets is occasionally associated with craniosynostosis. Delayed diagnosis can result in intracranial hypertension, potentially leading to serious neurological complications. We report the case of a 9-year-old boy with X-linked hypophosphatemic rickets who presented with headache, fundus oculi edema, and double sinus pericranii. A CT scan revealed fusion of the cranial sutures, and continuous intracranial pressure monitoring confirmed intracranial hypertension. The patient successfully underwent bilateral cranial expansion. Secondary craniosynostosis is a rare condition, with hypophosphatemic rickets being the most common metabolic cause. Sinus pericranii is a rare radiological manifestation of intracranial hypertension. Craniosynostosis presenting after infancy or early childhood should prompt consideration of secondary or metabolic causes. Regular monitoring for head shape abnormalities and signs of intracranial hypertension is essential in patients with hypophosphatemic rickets. Skull expansion is an effective therapeutic option.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.407
Threshold uncertainty score0.677

Codex and Gemma teacher scores by category

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

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 head0.007
GPT teacher head0.268
Teacher spread0.261 · 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 teacher head, 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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