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Record W3174362861 · doi:10.1093/jscr/rjab256

First use of Braxon® acellular dermal matrix for complex revision aesthetic breast surgery—revision augmentation mastopexy

2021· article· en· W3174362861 on OpenAlex
Christine Bojanic, Stavros Samaras, Mwenya M Chishimba, Charles M. Malata

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

VenueJournal of Surgical Case Reports · 2021
Typearticle
Languageen
FieldMedicine
TopicBreast Implant and Reconstruction
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMastopexyMedicineBreast augmentationSurgeryImplantFibrous jointFixation (population genetics)Breast implantPlastic surgery

Abstract

fetched live from OpenAlex

Acellular dermal matrices (ADMs) have ushered in a paradigm shift in prosthetic breast reconstruction; however, there has hitherto been no reported use of Braxon® ADM in aesthetic breast surgery. Here, we describe the case of a 42-year-old woman who presented for revision of her bilateral aesthetic augmentation-mastopexy following multiple revision surgeries. The predominant concerns were persistent pain, implant malposition and a wide intermammary distance. Her predicament was worsened by inability to tolerate monopolar diathermy owing to a spinal stimulator-the least invasive operation was sought and Braxon® ADM met this criterion. The procedure was a success, and she remains symptom-free, with soft breasts and stable implant positions. Braxon® ADM, with its preformed shape, total implant-wrapping design and easy suture fixation, lends itself to easy use in cosmetic breast surgery. Its role in cosmetic breast surgery has yet to be established, but this case marks the beginning of this endeavor.

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)0.001
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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.306
Threshold uncertainty score0.511

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.056
GPT teacher head0.308
Teacher spread0.252 · 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