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Record W73846741

Retrospective study of the long-term results of otoplasty using a modified Mustardé (cartilage-sparing) technique.

2009· article· en· W73846741 on OpenAlexaff
Beaudoin Olivier, Hamid J. Mohammad, Christian Ahmarani, Rahal Akram

Bibliographic record

VenuePubMed · 2009
Typearticle
Languageen
FieldMedicine
TopicReconstructive Facial Surgery Techniques
Canadian institutionsHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsGynecologyMedicine
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine the long-term results and the complication rates of a cartilage-sparing otoplasty technique. PATIENTS AND METHODS: In our study, patients who had undergone otoplasty from 1990 to 2002 inclusively were evaluated retrospectively. The study consisted of a chart review and a telephone survey. The minimum follow-up for patients was 5 years. MAIN OUTCOME MEASURES: The main outcome measures were long-term satisfaction rates, early complications, late complications, and rate of revisional procedures. A detailed description of the surgical technique is included. RESULTS: The overall long-term satisfaction rate was 95.7%. Early complications (< 1 month) included one case of bleeding (1.0%) and five cases of asymmetry (4.9%) between both ears, two of which required reoperations. One case of early unilateral recurrence was noted owing to trauma inflicted by another child (1.0%) and necessitated a revisional procedure. Late complications (> 1 month) included five cases (4.8%) of suture granulomas/extrusions, three (2.9%) keloids, and one case of hypertrophic scarring (1.0%). Seven cases of partial recurrence of the deformity (10.3%) were noted, six of which were unilateral and one of which was bilateral, none requiring reoperation. There was only one case of overcorrection of the deformity (1.4%). Three cases within the sample of 104 patients underwent reoperation, yielding a 2.9% rate of revision procedures. CONCLUSIONS: On long-term follow-up, the otoplasty technique used in our institution yields a high satisfaction rate and a low complication rate.

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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.039
GPT teacher head0.278
Teacher spread0.239 · 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

Citations23
Published2009
Admission routes1
Has abstractyes

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