MétaCan
Menu
Back to cohort
Record W3134475716 · doi:10.1111/jvim.15924

RESEARCH COMMUNICATIONS OF THE 30th ECVIM-CA ONLINE CONGRESS

2020· article· en· W3134475716 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of Veterinary Internal Medicine · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSingle-cell and spatial transcriptomics
Canadian institutionsnot available
FundersBiotechnology and Biological Sciences Research CouncilDogs TrustPetplan Charitable TrustMedical Research CouncilWinn Feline Foundation
KeywordsMedicineFamily medicine

Abstract

fetched live from OpenAlex

Copper (Cu) influence on chronic hepatitis (CH) have been thoroughly studied in dogs, while a few information on other metals accumulation is currently available. Both Cu and lead (Pb) may cause hepatic injury if their hepatic metabolization is defective or due to oxidative stress mechanisms linked to their presence within hepatocytes, especially for Pb. The aim of the study was to evaluate liver Pb and Cu concentration in dogs with CH. Retrospective evaluation of the Teaching Hospital clinical database was performed searching for dogs with CH and hepatic copper ([Cu]) concentrations, on which lead concentrations ([Pb]) were measured. CH was defined using current ACVIM consensus. [Cu] and [Pb] were evaluated using square wave anodic stripping voltammetry (SWASV; limit of detection (LOD) 10ppm and 6 ppm, respectively). Dogs were divided into two groups based on hepatic [Cu]: Group A <400ppm and Group B 400ppm. [Pb] and [Cu] were correlated using a Spearman correlation test. [Pb] and alanine aminotransferase (ALT) were compared between Group A and Group B using Welch’s t-test and Mann-Whitney U-test, respectively. Thirty-six dogs were screened for eligibility and the final population was composed by 29 dogs, since 7 dogs had [Pb] < LOD and they were censored (6 dogs of Group A and 1 dog of Group B, respectively). The median age was 9 years (range 1-15 years), equally divided between males and females, mainly Labrador Retrievers and Cocker Spaniels (n=3 each), followed by mixed-breed (n=9). Twenty-one dogs (58%) were assigned to Group A, while the remaining 15 dogs were in Group B. [Pb] and [Cu] were strongly positively correlated (p=0.0002; r=0.65). Group A had a mean [Cu] and [Pb] of 236.698 and 4422.3ppm respectively, whereas Group B had a [Cu] and [Pb] of 12891944 and 103.159.8ppm, respectively. Group B showed a significantly higher [Pb] than Group A (p=0.003). ALT was not significantly different between groups (159 vs. 94ppm groups A and B, respectively). \nAlthough further studies are needed to better understand the clinical role of hepatic [Pb], dogs with hepatic abnormal [Cu] may also have higher [Pb] than dogs with normal [Cu], which may be a concomitant storage defect or a direct consequence of Cu hepatic accumulation. However, since few data are available a concomitant oxidative damage caused by increased [Pb] cannot be excluded.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.405
Threshold uncertainty score0.849

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.4050.300

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 head0.170
GPT teacher head0.403
Teacher spread0.233 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations4
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Veterinary Internal MedicineSame topicSingle-cell and spatial transcriptomicsFrench-language works237,207