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Record W2999119613 · doi:10.1177/2513826x19898809

Pyoderma Gangrenosum Following Deep Inferior Epigastric Perforator (DIEP) Breast Reconstruction: A Case Report

2020· article· en· W2999119613 on OpenAlexaffvenue
Nicholas Stone, Victoria McKinnon, Judy Wismer, Mark McRae

Bibliographic record

VenuePlastic Surgery Case Studies · 2020
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicinePyoderma gangrenosumSurgeryCellulitisFat necrosisBreast reconstructionDIEP flapDebridement (dental)Inflammatory bowel diseaseDermatologyBreast cancerDiseasePathologyCancerInternal medicine

Abstract

fetched live from OpenAlex

Pyoderma gangrenosum (PG) is a rare dermatologic condition manifesting as sterile, rapidly progressing painful skin ulcerations. It is commonly associated with autoimmune disorders such as inflammatory bowel disease. This case report illustrates a severe case of post-surgical pyoderma gangrenosum (PSPG) following bilateral deep inferior epigastric perforator flap breast reconstruction in a 56-year-old Caucasian woman. Factors delaying diagnosis included negative personal/family history of inflammatory disorders and a clinical presentation more suggestive of breast cellulitis. Refractory antibiotic therapy, subsequent ulceration at multiple breast and abdominal incisions, and pathergic response to tissue biopsy supported an eventual clinical diagnosis of PSPG, 12 days postoperatively, despite equivocal histopathologic findings. Initiation of intravenous immunoglobulin, prednisone therapy, local wound care, and avoidance of debridement led to a full resolution by 5 months postoperatively. This study raises awareness for PSPG and highlights the importance of early recognition and urgent dermatology consultation to expedite optimal treatment and minimize subsequent fat necrosis.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.033
GPT teacher head0.269
Teacher spread0.236 · 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 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
Published2020
Admission routes2
Has abstractyes

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