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Donor-Site Morbidity of the Inferior Gluteal Musculocutaneous Flap for Breast Reconstruction in Teenagers

2007· article· en· W1998197716 on OpenAlexaff
Sophie Dupéré, Léonard Bergeron, Patricia Bortoluzzi, Tina Del-Duca, Louise Caouette‐Laberge

Bibliographic record

VenueAnnals of Plastic Surgery · 2007
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineBreast reconstructionSurgeryMammaplastyBreast cancerCancer

Abstract

fetched live from OpenAlex

The purpose of this study is to objectively evaluate donor-site morbidity of the inferior gluteal musculocutaneous flap in teenagers. All cases of breast reconstruction performed between 1996 and 2005 using an inferior gluteal flap were reviewed. Flap size, weight, and pedicle origin were noted. Donor-site morbidity was assessed for scarring, contour deformity, muscle function, and sensation. The charts of 15 patients were reviewed, and 6 patients were available for further investigation. The average flap size and weight were 17 cm x 7 cm and 430 g, respectively. All patients had a well-concealed scar with minimal buttock asymmetry. Sensory assessment showed some degree of hypoesthesia in the territory of the posterior femoral cutaneous nerve in all patients. There was no functional loss. Donor-site morbidity of the inferior gluteal musculocutaneous flap is largely related to posterior thigh hypoesthesia despite preservation of the posterior femoral cutaneous nerve.

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 score0.006

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 head0.034
GPT teacher head0.291
Teacher spread0.257 · 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

Citations21
Published2007
Admission routes1
Has abstractyes

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