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Record W2129915640 · doi:10.4102/jsava.v80i3.202

Urinary bladder botryoid rhabdomyosarcoma with widespread metastases in an 8-month-old Labrador cross dog : clinical communication

2009· article· en· W2129915640 on OpenAlexaboutno aff
Kenneth Gerber, Philip Rees

Bibliographic record

VenueJournal of the South African Veterinary Association · 2009
Typearticle
Languageen
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTrigone of urinary bladderPathologyRhabdomyosarcomaMetastasisLymphUrinary bladderUrinary systemMediastinumSarcomaRadiologyUrologyAnatomyCancerInternal medicine

Abstract

fetched live from OpenAlex

An 8-month-old crossbred Labrador retriever was presented with a history and clinical signs suggestive of lower urinary tract obstruction. Laboratory results revealed azotaemia and hyperphosphataemia. Ultrasonographic evaluation of the urinary tract showed a mass at the bladder trigone, hydronephrosis, hyrodureter, and suspected metastases to lymph nodes and the liver. Pulmonary metastasis was identified on thoracic radiographs. A post mortem confirmed metastases to the liver, lungs and regional lymph nodes, as well as to the mesenteric lymph nodes, mediastinum, heart, subcutaneous tissue and several muscle groups. A histopathological diagnosis of metastatic botryoid rhabdomyosarcoma (sarcoma botryoides) was made. A review of the literature shows that, although the bladder trigone is a well documented location for this tumour, this case was unique with its widespread metastases to previously undocumented organs. The incidence, embryology, ultrasonographic appearance and treatment of this tumour are discussed.

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 score0.004
Threshold uncertainty score0.009

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 integrity0.0040.002
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 head0.054
GPT teacher head0.393
Teacher spread0.339 · 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

Citations17
Published2009
Admission routes1
Has abstractyes

Explore more

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