MétaCan
Menu
Back to cohort
Record W2020100136 · doi:10.1097/moo.0b013e32833a46ed

Mandibular reconstruction using nonvascularized autogenous bone grafting

2010· review· en· W2020100136 on OpenAlexaff
Archie Morrison, James Brady

Bibliographic record

VenueCurrent Opinion in Otolaryngology & Head & Neck Surgery · 2010
Typereview
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineDistraction osteogenesisMandible (arthropod mouthpart)Bone graftingDentistrySurgeryReconstructive SurgeonDistraction

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: This paper will discuss reconstruction of the mandible with autogenous nonvascularized bone grafting. New developments in this area will be investigated by reviewing the most recent literature on this topic as compared with other techniques currently employed. With the advances of vascularized free flap reconstruction it is important to investigate the indication for nonvascularized techniques. RECENT FINDINGS: Replacement of a portion of the mandibular bone is a common procedure for patients undergoing ablative cancer surgery or for infection as well as temporomandibular joint replacement secondary to disease or trauma. The subject of mandibular reconstruction has seen great advances in recent years with the advent of vascularized free tissue transfer. Other newer areas of mandibular replacement include tissue engineering and distraction osteogenesis. Traditional nonvascularized autogenous bone graft replacement can still play a vital role in rehabilitating these patients. SUMMARY: Although vascularized free flap reconstruction of mandibular defects has become the more common method of treating the postablative cancer surgery patient, there remain indications for nonvascularized reconstruction of mandibular defects as well as other techniques.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.953
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.003
Bibliometrics0.0030.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.004
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 head0.103
GPT teacher head0.380
Teacher spread0.277 · 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; both teacher heads agree on what is shown here.

Study designOther design
Domainnot available
GenreReview

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

Citations14
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueCurrent Opinion in Otolaryngology & Head & Neck SurgerySame topicReconstructive Surgery and Microvascular TechniquesFrench-language works237,207