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Transfixion incision as an initial technique in nasal tip deprojection

2008· article· en· W4237730035 on OpenAlexaff
P Solomon, R Rival, A Mabini, J Boyd

Bibliographic record

VenuePlastic Surgery · 2008
Typearticle
Languageen
FieldMedicine
TopicNasal Surgery and Airway Studies
Canadian institutionsThornhill Medical (Canada)York Central HospitalEtobicoke General HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineAnatomyComputer scienceGeology

Abstract

fetched live from OpenAlex

BACKGROUND: The overprojected nasal tip presents a significant challenge to the surgeon performing rhinoplasty. Full transfixion incision as a means of dealing with this deformity has been studied only in combination with other surgical methods. OBJECTIVES: To determine whether transfixion incision alone would result in significant nasal tip deprojection, and if skin thickness had an effect on the extent of deprojection the procedure yielded. METHOD: Seventy-two consecutive patients with an aesthetic goal of nasal tip deprojection were enrolled. The sole surgical means of deprojection used was transfixion incision. Subjects were categorized as thin-, medium- or thick-skinned based on the surgeon’s analysis. These groups were compared in terms of their postprocedural nasal tip deprojection. RESULTS: Using transfixion incision as the sole means of correcting this deformity resulted in a mean nasal tip deprojection of 1.6 mm (ranging from 0 mm to 3 mm). Patients in the thin skin group had a mean deprojection of 2.12 mm. This was significantly greater than for both the medium- and thick-skinned groups. There was no significant difference between the medium- and thick-skinned groups. CONCLUSIONS: Surgeons may use skin thickness when planning interventions for correcting nasal tip overprojection. When used alone, transfixion incision resulted in tip deprojection comparable with that achieved when combined with other methods, particularly for thin-skinned patients. Surgeons can thus use a graduated approach in which transfixion incision, the least destructive method, is used before proceeding with other interventions.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.055
Threshold uncertainty score0.620

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.053
GPT teacher head0.306
Teacher spread0.253 · 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

Citations3
Published2008
Admission routes1
Has abstractyes

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