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Record W2112027028 · doi:10.1002/hed.20705

Comparison of reconstructive procedures in primary versus secondary mandibular reconstruction

2007· article· en· W2112027028 on OpenAlexaff
William Andrade, Joan E. Lipa, Christine B. Novak, Harpreet Singh Grover, Christian Bang, Ralph Gilbert, Peter C. Neligan

Bibliographic record

VenueHead & Neck · 2007
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineCondyleMandible (arthropod mouthpart)DentistryRetrospective cohort studyDemographicsSurgeryOrthodonticsBiology

Abstract

fetched live from OpenAlex

BACKGROUND: Few reports have compared reconstructive outcomes of primary versus secondary mandibular reconstruction. METHODS: A retrospective chart review was performed on 149 patients following primary (n = 110) and secondary reconstruction (n = 39). RESULTS: There was no statistically significant difference in patient demographics between the 2 groups. The secondary reconstruction mandibular defects were more extensive; significantly more involved the condyle or the central portion of the mandible. The vascularized fibular flap was most commonly used (primary 82%, secondary 69%). The overall complication rate was similar in both groups. There was no statistical difference in the frequency of complications between the primary or secondary reconstruction groups (acute, p = .40; late, p = .17). CONCLUSIONS: Success in secondary mandibular reconstruction could be achieved utilizing a range of osseous free flaps, and there was no increased rate of complications compared with primary mandibular reconstructions.

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)0.000
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 score0.367
Threshold uncertainty score0.829

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.026
GPT teacher head0.334
Teacher spread0.307 · 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

Citations19
Published2007
Admission routes1
Has abstractyes

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