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Diagnosis of cardiac tumors in dogs with clinical signs of pericardial effusion

2024· article· en· W4392566528 on OpenAlexaboutno aff
Yulia S. Kruglova, Zhora Yu. Muradyan, Svetlana F. Nazimkina

Bibliographic record

VenueVeterinariya Zootekhniya i Biotekhnologiya · 2024
Typearticle
Languageen
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsnot available
Fundersnot available
KeywordsMesotheliumAtypiaPathologyMesotheliomaMedicinePericardial effusionHistologyMesothelial CellInternal medicine

Abstract

fetched live from OpenAlex

Dogs of the Labrador breed are most predisposed to the formation of a heart tumor (30 %), while no clear correlation was found in other breeds. The experimental group represents a rather small and diverse breed base, which makes reliable identification of breed predisposition difficult. In most cases, cells without sharp signs of atypia were observed in the effusion fluid (80 %), in 30 % of cases the cells had pronounced atypia, and in 30 % reactive mesothelium was found in smears. It is important to note that reactive mesothelium is not a reliable marker of a tumor process, since it can be normal during proliferation, as well as cell atypia, which is often observed with constant and active mitostatic processes. The most informative method is histology and echocardiography. In 8 out of 10 cases, histological examination confirmed a cardiac tumor, while in 8 out of 10 cases the tumor was visualized on echocardiography. Cytological examination gave reasons to suspect a tumor in 3 out of 10 cases of mesothelioma or absence of visualization on echocardiography, but at present there are no methods capable of differentiating mesothelioma cells from reactive mesothelium either cytologically or histologically.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.179
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.065
GPT teacher head0.392
Teacher spread0.328 · 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.

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
Published2024
Admission routes1
Has abstractyes

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