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Record W2271070286 · doi:10.21825/vdt.87473

Immune-mediated hemolytic anemia (IMHA) in cats - part 1: a review

2012· review· nl· W2271070286 on OpenAlexfundno aff
Geert Paes, Dominique Paepe, J. Veldeman, M. Campos, Sylvie Daminet

Bibliographic record

VenueVlaams Diergeneeskundig Tijdschrift · 2012
Typereview
Languagenl
FieldMedicine
TopicBlood groups and transfusion
Canadian institutionsnot available
FundersInstitute of Musculoskeletal Health and ArthritisAmerican College of Veterinary Internal Medicine
KeywordsCATSMedicineImmune systemHemolytic anemiaAnemiaCoombs testImmunologyMycoplasmaAntibodyInternal medicineBiologyMicrobiology

Abstract

fetched live from OpenAlex

In contrast to dogs, immune-mediated hemolytic anemia is rarely seen in cats and occurs most often secondary to an underlying infectious, neoplastic or inflammatory process Clinical symptoms are often vague and are caused by severe anemia and the effect of hypoxia on organ systems Laboratory abnormalities in cats with IMHA are comparable to those seen in dogs, with the exception of spherocytes, which are difficult to identify in cats The diagnosis is based on hemolytic anemia in combination with a positive 'true' autoagglutination and/or a positive Coombs test A search for underlying causes should always be performed and, because infections with hemotrophic mycoplasma species are the most Important underlying cause for IMHA in cats, a polymerase chain reaction test to detect these bacteria should be carried out Treatment consists of immunosuppressive drugs, providing oxygen-carrying solutions, treating underlying causes and supportive care In cats, IMHA carries a better prognosis than in dogs, although relapses are seen in equal frequency.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.766
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0100.003
Bibliometrics0.0010.004
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0150.030

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 head0.041
GPT teacher head0.299
Teacher spread0.258 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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

Citations7
Published2012
Admission routes1
Has abstractyes

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