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Record W2061387442 · doi:10.1097/gox.0000000000000069

Autologous Fat Grafting as a Novel Approach to Parastomal Soft-tissue Volume Deficiencies

2014· article· en· W2061387442 on OpenAlex
Robert Wu, Ian Maxwell, Ilun Yang, Mario Jarmuske, Robin P. Boushey

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

VenuePlastic & Reconstructive Surgery Global Open · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicTattoo and Body Piercing Complications
Canadian institutionsJuravinski HospitalOttawa Hospital
Fundersnot available
KeywordsSkin cancerMedicineBasal cellSkin graftingDermatologySurgeryCancerSoft tissuePathologyInternal medicine

Abstract

fetched live from OpenAlex

SUMMARY: The aim of this study is to describe a novel approach to revise maladaptive soft-tissue contour around an ileostomy. A patient with permanent ileostomy suffered from significant defects in soft-tissue contour due to scarring and wound contraction. He underwent autologous fat grafting to achieve sealing of his stoma appliance and improve cosmesis. Due to numerous surgeries, the stoma appliance would not seal and required daily appliance changes. The patient received autologous fat grafting to augment the contour around stoma. A complete fitting of stoma was achieved. The patient is satisfied with stoma sealing and is changing his stoma appliance every 5-7 days without skin excoriation. Autologous fat transfer is an effective approach to treat a subset of stoma patients with complex subcutaneous defects.

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)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.389
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.043
GPT teacher head0.312
Teacher spread0.269 · 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