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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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.811

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.049
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

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