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Record W2567337596 · doi:10.1186/s13028-016-0269-5

Imperforated cor triatriatum dexter in a dog with concurrent caudal vena cava wall mineralization

2017· article· en· W2567337596 on OpenAlexaff
Tetyda Paulina Dobak, Gregory Starrak, Kathleen Linn, Elisabeth Snead

Bibliographic record

VenueActa veterinaria Scandinavica · 2017
Typearticle
Languageen
FieldMedicine
TopicCongenital Heart Disease Studies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMedicineInferior vena cavaAscitesRadiologyMagnetic resonance imagingAngiographyAnatomyCardiologyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Cor triatriatum dexter (CTD) is a rare congenital cardiac malformation with various manifestations and has been sporadically described in dogs. Clinically the dogs present with nonspecific signs of right heart failure or Budd-Chiari-like syndrome. Other associated concurrent cardiovascular anomalies are commonly reported. Diagnosis and full characterization of this complex malformation requires careful investigation and often a multimodal imaging approach. CASE PRESENTATION: A 10-week-old, male intact, Golden Retriever was presented with clinical signs of stunted growth, anorexia, and progressive ascites. CTD imperforate with sole separation of the caudal vena cava (CdVC) and concurrent venous wall mineralization was conjointly diagnosed and fully characterized by echocardiography, non-selective angiography, computed tomography angiography and cardiac magnetic resonance imaging (MRI). This was successfully treated surgically and the dog returned to normal activity. CONCLUSION: To the author's knowledge, this is the first case of CTD imperforate separating the CdVC from the right atrium (RA) with presumed secondary CdCV wall and hepatic parenchyma mineralization reported in a dog. CTD is an important and potentially correctable cause for the development of ascites in a young puppy. Accurate diagnosis of this complex cardiac anomaly is important for selection of the most appropriate curative treatment option.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.919

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.029
GPT teacher head0.328
Teacher spread0.299 · 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

Citations16
Published2017
Admission routes1
Has abstractyes

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