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Record W2117753867 · doi:10.1001/jamafacial.2014.34

Nasal Osteotomies

2014· article· en· W2117753867 on OpenAlex
Nathalie Gabra, Akram Rahal, Christian Ahmarani

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJAMA Facial Plastic Surgery · 2014
Typearticle
Languageen
FieldMedicine
TopicNasal Surgery and Airway Studies
Canadian institutionsUniversité de MontréalHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsOsteotomyMedicineOsteotomeSurgeryCadaveric spasmOrthodontics

Abstract

fetched live from OpenAlex

IMPORTANCE: The different nasal osteotomy patterns used to perform rhinoplasty are poorly described in the literature, and there is a continuous debate between surgeons on the ideal sequence and technique to obtain desired results. OBJECTIVES: (1) To evaluate the necessity of a paramedian osteotomy when performing a high-low-high (HLH) osteotomy, (2) to study the fracture pattern of a high-low-low (HLL) osteotomy when combined with a paramedian osteotomy in the presence and in the absence of a transverse osteotomy, and (3) to evaluate the mobility of the central segment (located between the paramedian osteotomies) after digital pressure and the ideal osteotomy to mobilize it if needed. DESIGN AND SETTING: This was a prospective cadaveric study performed in the dissection laboratory in our tertiary referral center. EXPOSURE: Twenty cadavers were divided in 2 groups of 10. Group A had a paramedian osteotomy combined with an HLH osteotomy on 1 side and an HLH osteotomy alone on the other side. Group B had a paramedian combined with a transverse osteotomy followed by HLL osteotomy on 1 side. On the other side, we performed a paramedian combined with an HLL osteotomy. Finally, we evaluated the mobility of the central segment in group B, first with digital manipulation and then with a transverse osteotomy. MAIN OUTCOME AND MEASURE: The 3 authors evaluated individually the different fracture patterns. A result was considered successful when (1) the fracture followed the desired pattern, (2) a continuous line was obtained, and (3) a complete mobilization of the nasal segment was visualized. RESULTS: In group A, the side without a paramedian osteotomy had more unstable and greenstick fractures than the other side (P < .001). In group B, the side with a transverse osteotomy had more reliable and stable fractures than the other side (P < .05). Digital manipulation alone was not enough to mobilize the central segment in 8 of the 10 cadavers studied. CONCLUSIONS AND RELEVANCE: Following this study we make the following suggestions: (1) to perform a paramedian osteotomy when an HLH osteotomy is needed, (2) to perform a transverse osteotomy before an HLL osteotomy when combined with paramedian osteotomy, and (3) to manipulate the central segment with a transverse osteotomy in order to mobilize it in a safe and predictable manner. LEVEL OF EVIDENCE: NA.

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.

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)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.311
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.008
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)0.0000.001

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 head0.020
GPT teacher head0.242
Teacher spread0.222 · 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