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Record W1993935108 · doi:10.1097/scs.0b013e31806900c6

Clinical Success of Mandibular Distraction for Obstructive Sleep Apnea Resulting From Micrognathia in 10 Consecutive Japanese Young Children

2007· article· en· W1993935108 on OpenAlexaff
Nobuyuki Mitsukawa, Kaneshige Satoh, Tadayuki Suse, Yoshiaki Hosaka

Bibliographic record

VenueJournal of Craniofacial Surgery · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCraniofacial Disorders and Treatments
Canadian institutionsSt Mary's Hospital
Fundersnot available
KeywordsMedicineObstructive sleep apneaPolysomnographyDistractionSleep apneaOsteotomyApneaDistraction osteogenesisCephalometryOrthodonticsDentistryPediatricsAnesthesia

Abstract

fetched live from OpenAlex

In recent years, obstructive sleep apnea has gained attention as one of the causes of sudden death in young children. There have been some reports, mainly from the United States and Europe, that mandibular distraction osteogenesis is effective as a treatment for obstructive sleep apnea syndrome caused by micrognathia in young children. However, there has not been any report yet in Japan. In this study, we performed mandibular distraction osteogenesis using internal devices in 10 young children with obstructive sleep apnea. To enable distraction to be performed smoothly without any difficulties, we modified a surgical procedure by adding an osteotomy of the coronoid process to a vertical ramus osteotomy. Postoperative evaluations using cephalograms and polysomnography were performed, and great improvements were observed. As a result, all patients either avoided or were weaned from tracheostomy, and very good results were obtained similar to those in reports from the United States and Europe. We report our experience in Japan.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.037
Threshold uncertainty score0.704

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.013
GPT teacher head0.301
Teacher spread0.288 · 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

Citations28
Published2007
Admission routes1
Has abstractyes

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