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Record W4393430557 · doi:10.62757/iva.2024.101.3.55-56

Adenocarcinoma of the Mammary Gland and Its Surgical Excision in a Male Dog – A Case Report

2024· article· en· W4393430557 on OpenAlexaboutno aff
Monowara Begum, R. Thangathurai, S. V. Nandhitha, M. Balagangatharathilagar, V. Vijayanand

Bibliographic record

VenueThe Indian Veterinary Journal · 2024
Typearticle
Languageen
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsnot available
Fundersnot available
KeywordsSurgical excisionAdenocarcinomaMammary glandMedicinePathologyBiologySurgeryInternal medicineCancerBreast cancer

Abstract

fetched live from OpenAlex

               An eight year old intact male Labrador dog was brought to the hospital with a history of swelling in the caudal abdominal region for the past 3 months and the owner also reported that the mass kept on growing. Physical examination revealed the presence of a hard, painless mass on the right caudal thoracic mammary gland. On clinical examination, all vital parameters were under normal range. On fine needle aspiration cytology the case was diagnosed as mammary gland adenocarcinoma. Pre-operative haemato-biochemical values were under normal range and thoracic radiograph showed no metastasis. Hence, surgery was fixed and a radical excision of right caudal thoracic mammary gland along with the draining lymph node was done. The excised mass was sent for histopathological analysis and the condition was once again confirmed as mammary gland adenocarcinoma. Post-operative care with antibiotics, supportive therapy and wound dressing were followed. Sutures were removed on 7th post-operative day, after the complete healing. Post-operative follow up was done for 3 months and the animal made an uneventful recovery with no recurrence.

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)0.002
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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.444

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0000.000
Research integrity0.0000.001
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 head0.057
GPT teacher head0.369
Teacher spread0.312 · 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 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
Published2024
Admission routes1
Has abstractyes

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