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Record W2124195964 · doi:10.5489/cuaj.3250

Rare late metastasis of testis seminoma to the bladder

2015· article· en· W2124195964 on OpenAlexvenueno aff
Ali Rıza Türkoğlu, Soner Çoban, Muhammet Güzelsoy, Murat Demirbaş, Nazmi Mutlu, Ömer Yalçın

Bibliographic record

VenueCanadian Urological Association Journal · 2015
Typearticle
Languageen
FieldMedicine
TopicTesticular diseases and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSeminomaOrchiectomyHistopathologyMetastasisCystoscopyEtoposideRadiation therapySurgeryUrinary bladderChemotherapyUrologyMetastasectomyUrinary systemPathologyInternal medicineCancer

Abstract

fetched live from OpenAlex

A 45-year-old male presented to our clinic with complaining of hematuria for a month. The investigations showed a 59 × 24-mm myxoid mass on the right lateral bladder wall and this was removed with transurethral resection. The histopathology evaluation result was seminoma (classic type). The medical history revealed that the patient had undergone inguinal orchiectomy for a testis tumour 10 years before and the diagnosis was classic type seminoma. He received chemotherapy following the orchiectomy, but had not gone for follow-up after the first year. There was no other metastasis and he was put on the iphosphamide, etoposide, cisplatin (IPE) protocol. The patient has been disease-free for the last 5 months and the tumour markers and cystoscopy were normal. Testis tumours can rarely cause other organ metastases in the late stage even if curative surgery and chemo-radiotherapy were initially administered. Proper follow-up is crucial. It is also necessary to query the tumour history when a tumour in any organ is considered.

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)0.003
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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
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 integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.026
GPT teacher head0.250
Teacher spread0.224 · 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

Citations4
Published2015
Admission routes1
Has abstractyes

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