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Record W3044564978 · doi:10.1136/vetreccr-2020-001105

Case of multiple myeloma with cutaneous involvement and aberrant CD3 expression

2020· article· en· W3044564978 on OpenAlexaboutno aff
Luca Schiavo, Stefano Di Palma, Sara Verganti

Bibliographic record

VenueVeterinary Record Case Reports · 2020
Typearticle
Languageen
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHistopathologyPathologyLabrador RetrieverMultiple myelomaPrednisoloneSalivary glandLymphomaVincristinePlasmacytomaImmunohistochemistryChemotherapySurgeryInternal medicineCyclophosphamide

Abstract

fetched live from OpenAlex

SUMMARY A six‐year‐old golden retriever presented for a fast‐growing mass at the level of the left mandibular area. Cytological evaluation was consistent with an anaplastic round cell neoplasm. CT scan and abdominal ultrasound showed the presence of a large mass affecting the left mandibular salivary gland, several subcutaneous nodules and generalised intra‐abdominal lymphadenomegaly. The mandibular mass was surgically removed, and histopathology and immunohistochemistry were compatible with plasma cell tumour with aberrant CD3 expression. Complete staging led to the diagnosis of multiple myeloma with skin and salivary gland involvement. After receiving one dose of vincristine, the dog was started on melphalan/prednisolone protocol. After initial improvement, the dog showed signs of progressive disease and was euthanased 35 days after starting treatment due to severe clinical deterioration. Postmortem examination showed infiltration by neoplastic cells in several organs including the heart, the conjunctiva and some abdominal organs.

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: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
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 head0.079
GPT teacher head0.327
Teacher spread0.248 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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