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Record W1507462917 · doi:10.12681/jhvms.15574

Primary portal vein hypoplasia with portal hypertension in a young dog

2017· article· en· W1507462917 on OpenAlexaff
Dimitrios Kasabalis, Dimitrios G Alatzas, Despina Alatza, Θεόδωρος Πετανίδης, G. ALATZAS, Lysimachos G. Papazoglou, Ross Harley, M. E. MYLONAKIS

Bibliographic record

VenueJournal of the Hellenic Veterinary Medical Society · 2017
Typearticle
Languageen
FieldMedicine
TopicLiver Disease and Transplantation
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsMedicinePortal hypertensionAscitesExploratory laparotomyAbdominal ultrasonographyEsophageal varicesHypoplasiaHypoalbuminemiaPortal venous pressureSurgeryCirrhosisGastroenterologyInternal medicineRadiology

Abstract

fetched live from OpenAlex

A 5-month old Caucasian dog was presented with a 20-day history of abdominal distention along with inappetance, depression and vomiting of 24-hour duration. Physical examination findings included depression, ascites, mild inspiratory dyspnea and dehydration. Clinicopathological evaluation revealed hyperammonemia, hypoalbuminemia, hyperbilirubinemia, hypoglycemia and hyponatremia. Μicrohepatia and free abdominal fluid was detected with abdominal ultrasonography. During exploratory laparotomy, multiple acquired portosystemic collateral vessels were found, indicative of portal hypertension, along with a small liver of normal color and texture. Liver histopathology included features consistent with liver hypoperfusion. These findings supported the diagnosis of primary portal vein hypoplasia with portal hypertension. The animal recovered uneventfully postoperatively and was discharged with diuretics, hepatoprotectants and a low-protein diet and remains healthy two years after diagnosis. This case underscores that a favorable prognosis may be anticipated in cases of primary portal vein hypoplasia with portal hypertension, thus, justifying the long-term conservative management instead of considering euthanasia.

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)0.001
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 score0.073
Threshold uncertainty score0.313

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.025
GPT teacher head0.278
Teacher spread0.253 · 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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the Hellenic Veterinary Medical SocietySame topicLiver Disease and TransplantationFrench-language works237,207