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Record W3177471337 · doi:10.1177/2513826x211027013

Case Report of a Nipple Amputation After a Horse Bite

2021· article· en· W3177471337 on OpenAlexaffvenue
Chloe R. Wong, Mark McRae, Sophocles H. Voineskos

Bibliographic record

VenuePlastic Surgery Case Studies · 2021
Typearticle
Languageen
FieldMedicine
TopicReconstructive Facial Surgery Techniques
Canadian institutionsImpactMcMaster University
Fundersnot available
KeywordsMedicineSurgeryAmputationAreolaMastopexyMammaplastyHorsePlastic surgery

Abstract

fetched live from OpenAlex

Horse related injuries include falling from a horse, being stepped on by a horse, kicks, or bites. Bites are rare and often associated with fatalities. We present a case of a 41-year-old healthy female who suffered a complete amputation of her right nipple and abrasion of the areola following a horse bite. We managed the nipple injury as a full-thickness skin graft, similar to that of a compromised nipple in a reduction mammaplasty or mastopexy case. Barring a lack of projection and minor hypopigmentation, the nipple had normal sensation with no scar contracture. Overall, the patient was happy with her final outcome. With a healthy, minimally contaminated wound bed, and lack of poor wound healing risk factors, we believe that treating a nipple amputation as a full thickness skin graft in the emergency setting results in aesthetic outcomes, sensation, and patient satisfaction comparable if not superior to other means of nipple reconstruction in adults.

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 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)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
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 score0.202
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.043
GPT teacher head0.318
Teacher spread0.275 · 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 teacher head, not a consensus.

Study designCase report
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

Citations0
Published2021
Admission routes2
Has abstractyes

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