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Record W4380730207 · doi:10.1111/jvim.16787

Response to letter regarding “Validation of a cage-side agglutination card for <i>Dal</i> blood typing in dogs”

2023· letter· en· W4380730207 on OpenAlexaff
Marie‐Claude Blais, Emilie Véran

Bibliographic record

VenueJournal of Veterinary Internal Medicine · 2023
Typeletter
Languageen
FieldMedicine
TopicBlood groups and transfusion
Canadian institutionsXebec (Canada)Cegep de Saint Hyacinthe
Fundersnot available
KeywordsMedicineContext (archaeology)TypingAgglutination (biology)Blood typingHematocritProtocol (science)ImmunologyInternal medicinePathologyComputer scienceAlternative medicine

Abstract

fetched live from OpenAlex

Thank you for the opportunity to address Dr Giger's and Dr Freeman's letter. We appreciate the interest of Dr Giger and Dr Freeman in our publication. We agree with the main point: our publication wrongly refers to the term “validation.” As eloquently explained, a rigorous process is used to establish the validation of a laboratory test, which was not the objective of our study. The term “evaluation” would have been more appropriate, given that the study goal was to document how the Dal typing agglutination card performed in a clinical context. Although the proposal to compare Dal typing card performance to the gel technique by standardizing the red blood cell solution hematocrit remains relevant in a laboratory setting, it is not very applicable in clinics because of limited access to a reference laboratory or simply a lack of time when dealing with unstable anemic patients. Thus, our goal was to evaluate the performance of the Dal blood typing card in clinically relevant populations of healthy dogs (blood donors or breeds at risk of a Dal-negative phenotype), but also at the cage-side of the anemic patient. In this context, our methodology demonstrated that the Dal typing card gave very satisfactory results in healthy dogs, but that its interpretation could be problematic in severely anemic dogs (false negative). Simultaneously, a simple dilution protocol using blood samples from healthy dogs allowed us to determine that the PCV threshold allowing reliable interpretation was >20%. Several specific comments were raised by Drs Giger and Freeman that we will not address specifically, because these points were already raised in the discussion of our article or simply remain semantic details. We leave it to the reader to decide the relative importance of these comments and their impact on our conclusions given that Drs Giger and Freeman come to a similar conclusion: “If using non-autoagglutinating (or washed RBCs) blood samples from dogs that are not severely anemic (or adjusted to an appropriate hematocrit), the currently commercially available Dal typing card kit appears to accurately determine the Dal blood type. Therefore, it can be recommended for use in breeds where Dal-dogs have been recognized.” We hope that our publication will promote the use of Dal blood typing cards as a tool easily accessible to all clinicians. They remain particularly useful in the context of prevention (i.e., when screening breeds with a high prevalence of Dal-negative individuals and blood donors), given their limitations when used in severely anemic patients and the difficulty in identifying Dal-negative blood products in emergency situations. Respectfully submitted,

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)0.003
metaresearch head score (Gemma)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.018
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.030
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0180.015
Insufficient payload (model declined to judge)0.0080.008

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 head0.048
GPT teacher head0.331
Teacher spread0.283 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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
Published2023
Admission routes1
Has abstractyes

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