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Record W2123672524 · doi:10.5489/cuaj.894

Primary testicular mucinous neoplasms: case report and literature review

2013· article· en· W2123672524 on OpenAlexaffvenue
Jason E. Elliott, Julianne Klein, Darrel Drachenberg

Bibliographic record

VenueCanadian Urological Association Journal · 2013
Typearticle
Languageen
FieldMedicine
TopicTesticular diseases and treatments
Canadian institutionsSt. Boniface HospitalUniversity of Manitoba
Fundersnot available
KeywordsMucinous cystadenomaMucinous cystadenocarcinomaPathologyMedicineCystadenocarcinomaOvaryMetastasisNatural historyDysgerminomaAdenocarcinomaCancerInternal medicine

Abstract

fetched live from OpenAlex

Testicular epithelial mucinous tumours are an extremely rare, but interesting form of testicular neoplasm. We reviewed the medical literature using PubMed search terms: testis, mucinous cystadenoma, mucinous cystadenocarcinoma, neoplasms and testicular neoplasms. We describe a case from our institution and provide a review of the literature. Only 11 previously reported cases of mucinous testicular tumours have been reported in the English literature. The natural history of these tumours is poorly understood, due to their rarity, but it appears that, like their ovarian counterparts, they have an excellent prognosis. Exclusion of metastasis is an important point for the urologist when encountering a mucinous testicular tumour, as metastatic cystic lesions may mimic a primary mucinous tumour. We describe a case of ossified testicular mucinous tumour of low malignant potential. Such tumours are common in the ovary, but arise very rarely in the testicle. The clinical and histological features of this tumour are presented, and previously reported cases are reviewed to highlight important clinical features.

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)0.001
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: none
Teacher disagreement score0.008
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.007
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.006
GPT teacher head0.218
Teacher spread0.212 · 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

Citations18
Published2013
Admission routes2
Has abstractyes

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