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Le Fort III Osteotomy or Distraction Osteogenesis Imperfecta: Your Choice

2006· article· en· W2092081588 on OpenAlexaff
John H. Phillips, A. K. George, Brian Tompson

Bibliographic record

VenuePlastic & Reconstructive Surgery · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCraniofacial Disorders and Treatments
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineDistractionOsteotomyDistraction osteogenesisOrthodonticsDentistryBone graftingSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Traditional Le Fort III osteotomies have been described by several authors; however, few have reported the distances advanced and stability over time. METHODS: The authors assessed their last 30 Le Fort III osteotomies with respect to the immediate incisor advancement achieved at surgery and long-term advancement as measured at the A-point from preoperative and postoperative cephalometric tracings. The authors then compared their results with those in the literature for Le Fort III distraction techniques. Comparisons were made with respect to distraction distance maintained, the need for bone grafting, airway results, morbidity, and cost. RESULTS: The mean incisor advancement at the time of surgery as recorded in 14 patients was 21.6 mm (range, 12 to 28 mm). The long-term cephalometric A-point measurements in 14 patients demonstrated a mean of 14.14 mm (range, 8 to 25 mm). CONCLUSION: The authors conclude that, at the present time, no significant improvement in the results using Le Fort III distraction osteogenesis when compared with traditional methods has been shown.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0190.002

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 head0.011
GPT teacher head0.236
Teacher spread0.225 · 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".

Quick stats

Citations36
Published2006
Admission routes1
Has abstractyes

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