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Record W2333968243 · doi:10.1055/s-0033-1343953

Union and Bone Resorption of Free Fibular Flaps in Mandibular Reconstruction

2013· article· en· W2333968243 on OpenAlexaff
Tuija Ylä-Kotola, Eric Bartlett, Kathleen Armstrong, Ralph Gilbert, Stefan O.P. Hofer, David Goldstein

Bibliographic record

VenueJournal of Reconstructive Microsurgery · 2013
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineNonunionFibulaReduction (mathematics)ResorptionBone resorptionMandible (arthropod mouthpart)Free flapBony unionSurgeryDentistryProsthesisTibia

Abstract

fetched live from OpenAlex

BACKGROUND: The purpose of this study was to evaluate bony union and resorption after free fibular flap reconstruction for mandibular reconstruction. METHODS: A total of 112 patients with composite resection and reconstruction with a fibular free flap were included. Computed tomography scan images taken after the reconstruction and approximately 1 year postoperatively were assessed to evaluate union (n = 60) and bone resorption (n = 24) of the neomandible. RESULTS: Most of the fibulas healed well (n = 34) and there was radiologic nonunion in 20% of the neomandibles at the time of evaluation (mean = 15 months). There was a statistically significant reduction in bone height in the native mandible (p = 0.02) and the anterior part of the fibular graft (p = 0.02). CONCLUSIONS: There was a statistically significant reduction in mandibular and fibular graft height. However, the bone resorption was clinically minimal. Sufficient maintenance of height and good bony union support the use of free fibular flap in mandibular reconstruction.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.218
Teacher spread0.211 · 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

Citations31
Published2013
Admission routes1
Has abstractyes

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