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Record W2152857237 · doi:10.5326/jaaha-ms-5984

Pollakiuria and Stranguria in a Labrador Retriever with Penile HSA

2014· article· en· W2152857237 on OpenAlexaboutno aff
Joanna K. Fry, Derek P. Burney, Heidi A. Hottinger, Michelle Fabiani, Clint Feagin

Bibliographic record

VenueJournal of the American Animal Hospital Association · 2014
Typearticle
Languageen
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePenisUrethrostomyUrologySurgery

Abstract

fetched live from OpenAlex

An approximately 8 yr old castrated male Labrador retriever presented for evaluation of weight loss, stranguria, and pollakiuria. Lysis of the proximal one-third of the os penis was diagnosed on abdominal radiographs, and a positive contrast urethrography revealed a smoothly marginated filling defect along the dorsal aspect of the urethra at the level of the radiographically observed osteolysis. Regional ultrasound revealed an echogenic mass at the proximal aspect of the os penis with a severely irregular and discontinuous periosteal surface. A penile hemangiosarcoma (HSA) was confirmed on histopathologic evaluation after a penile amputation and scrotal urethrostomy were performed. Although HSA is a common malignant neoplasm in dogs, lysis of the os penis has not previously been documented. Adjunctive chemotherapy, although recommended, was declined, and the patient survived 236 days postoperatively. That survival time is considerably longer than the average survival time for patients with HSA, other than cutaneous forms of HSA. Although an uncommon presentation, HSA of the penis should be considered a differential diagnosis in older canines with signs of lower urinary tract disease, especially in breeds that have been documented to be predisposed to HSA.

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
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
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 head0.008
GPT teacher head0.281
Teacher spread0.273 · 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

Citations6
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the American Animal Hospital AssociationSame topicVeterinary Oncology ResearchFrench-language works237,207