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Record W2525121773 · doi:10.4137/ccrep.s40420

Primary Metastatic Squamous Cell Carcinoma of the Male Urethra Presenting with Scrotal Abscess and Subsequent Development of Fournier's Gangrene

2016· article· en· W2525121773 on OpenAlexaff
Sarah Moore, Omid Rashidipour, Ronald B. Moore

Bibliographic record

VenueClinical Medicine Insights Case Reports · 2016
Typearticle
Languageen
FieldMedicine
TopicUrinary and Genital Oncology Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineSurgeryPerineumUrethraCystoscopyFournier gangreneGangreneAbscessCancerUrinary systemInternal medicineNecrotising fasciitis

Abstract

fetched live from OpenAlex

This male patient presented with a scrotal abscess and urinary obstruction. The patient's history included a perineal abscess and the development of urethrocutaneous fistulae (watering-can perineum). He underwent multiple debridement procedures without resolution. During the fifth debridement for Fournier's gangrene, a biopsy revealed invasive squamous cell carcinoma. The patient was bedridden because of the large mass, a wide en bloc resection with lymphadenectomy and reconstruction was performed revealing a large (22 cm) squamous cell carcinoma originating from the urethra. He also received palliative chemoradiotherapy and hip hemiarthroplasty. Unfortunately, he succumbed to the disease. Given the recognized relationship between inflammation and the development of cancer, it is important to entertain a differential diagnosis of cancer, especially with erosive infections. This case report highlights the all too common late presentation of urethral cancer. Interestingly, despite correction of the bedridden state with palliative surgery, the patient did not perceive an improvement in quality of life based on the FACT-G questionnaire.

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)0.000
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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
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 head0.060
GPT teacher head0.331
Teacher spread0.271 · 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

Citations12
Published2016
Admission routes1
Has abstractyes

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