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Record W2951212367 · doi:10.1097/scs.0000000000005663

Spontaneous Osteogenesis of a Traumatic Mandibular Defect in the Pediatric Population

2019· article· en· W2951212367 on OpenAlexaff
Jordan Gornitsky, Alain J. Azzi, Sabrina Cugno

Bibliographic record

VenueJournal of Craniofacial Surgery · 2019
Typearticle
Languageen
FieldMedicine
TopicFacial Trauma and Fracture Management
Canadian institutionsMontreal Children's HospitalMcGill University Health Centre
Fundersnot available
KeywordsMedicineOrthodonticsPopulationDentistryEnvironmental health

Abstract

fetched live from OpenAlex

Spontaneous osteogenesis of traumatic mandibular defects in the pediatric population remains a relatively rare phenomenon with only 2 patients reported in the literature. In the adult population, a low threshold exists for bone graft placement in the presence of small mandibular gaps, with no role for spontaneous osteogenesis in significant mandibular defects. The approach to traumatic mandibular defects in the pediatric population is not clearly described in the literature and the risks and benefits associated with donor site morbidity of bone graft harvest must be tempered by the possibility for potential spontaneous osteogenesis. The present study reports 1 such patient in whom a significant mandibular defect healed by means of rigid fixation of the defect and spontaneous osteogenesis, with no functional or esthetic sequelae at long-term follow-up. A review of the pertinent literature was performed, and the authors' approach is discussed. The authors propose that traumatic mandibular defects of < 3 cm in patients under the age of 10 years should be considered for treatment with rigid internal fixation alone and spontaneous osteogenesis.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.249
Teacher spread0.233 · 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 designCase report
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

Citations3
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Craniofacial SurgerySame topicFacial Trauma and Fracture ManagementFrench-language works237,207