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Record W6910861890 · doi:10.5167/uzh-35739

Addison's disease due to bilateral adrenal malignancy in a dog.

2010· article· en· W6910861890 on OpenAlexaboutno aff

Bibliographic record

VenueZurich Open Repository and Archive (University of Zurich) · 2010
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Medicine and Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsMalignancyAdrenal disorderChromogranin AAdrenal insufficiencyAldosteroneImmunohistochemistryPheochromocytomaAddison's diseaseBiopsy

Abstract

fetched live from OpenAlex

A 12-year-old Rottweiler cross Labrador was presented with anorexia and weakness. Adrenal insufficiency was diagnosed with hyponatraemia, hyperkalaemia and undetectable resting and post-ACTH cortisol and aldosterone concentrations. The only abnormal diagnostic imaging result was bilateral adrenomegaly. Cytologic findings of liver, spleen and peripheral lymph nodes were normal. The dog responded initially to standard replacement therapy but relapsed shortly afterwards. The owners opted for euthanasia and allowed only removal of both adrenal glands. Microscopically, infiltrative polymorphic proliferations of densely packed tumour cells arranged as nests, intermingled with multifocal areas of necrosis and inflammatory cells were found. Silver staining revealed a few non-neoplastic adrenomedullary cells, whereas neoplastic cells did not stain. Immunohistochemistry was negative for neuron-specific enolase, vimentin, cytokeratin, synaptophysin, chromogranin A, S-100 protein, CD 56, 79 and 3. The final diagnosis was highly anaplastic bilateral adrenal neoplasia. This is the first report of bilateral adrenal malignancy presenting as clinical hypoadrenocorticism in a dog.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.619
Threshold uncertainty score0.860

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
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 head0.022
GPT teacher head0.262
Teacher spread0.240 · 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
Published2010
Admission routes1
Has abstractyes

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