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Record W3020992906 · doi:10.22374/jeleu.v3i2.84

Metastatic Adenocarcinoma of Para-Urethral Gland Presenting as Inguinal Lymph Node and Recurrent Bulbar Urethral Stricture

2020· article· en· W3020992906 on OpenAlexvenueno aff
Adam Jones, Samuel Mills, Sinthuja Naguleswaran, Tom Newton, Mohan Pillai

Bibliographic record

VenueJournal of Endoluminal Endourology · 2020
Typearticle
Languageen
FieldMedicine
TopicUrinary and Genital Oncology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMalignancyAdenocarcinomaMetastasisLymph nodeStage (stratigraphy)DiseaseUrethral strictureSurgeryUrethraInternal medicineCancer

Abstract

fetched live from OpenAlex

Para-urethral gland carcinoma is a rare urological malignancy that has a male predominance and has an age-adjusted incidence of 1.5–4.3/million. There are various histological subtypes of para-urethral carcinoma, with adenocarcinoma representing only 16.4% of these. Treatment is dependent on site, stage and patient factors. A multimodal approach is often adopted for the treatment of this malignancy. This includes radical surgery based on site of malignancy and there have been various case reports describing the role of adjuvant chemotherapy. However, there is still no agreed recommendation or available evidence for treatment of this infrequently encountered malignancy. The majority of patients present with symptoms of advanced disease and outcomes remain poor. We report a case of para-urethral gland adenocarcinoma presenting as recurrent bulbar urethral stricture and inguinal lymph node metastasis. This case report aims to highlight the rarityof the disease and discuss treatment options for this uncommon urological malignancy.

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 score0.003
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
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
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 head0.049
GPT teacher head0.319
Teacher spread0.270 · 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 routes1
Has abstractyes

Explore more

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