Evaluating a Rapid Immunity Test to Predict Dairy Calf Mortality Risk.

Ansley M Roper, Caroline Guzi Savegnago, Thiago N Marins, Jing Gao, Rui Xie, Sha Tao, Qun Huo

Abstract read

In one paragraph

Article in Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ansley M RoperDepartment of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA.ORCID 0009-0004-9749-8200

Caroline Guzi SavegnagoDepartment of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA.

Thiago N MarinsDepartment of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0001-9430-036X

Jing GaoDepartment of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA.

Rui XieDepartment of Statistics and Data Science, University of Central Florida, Orlando, FL 32816, USA.ORCID 0000-0001-9769-8131

Sha TaoDepartment of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0002-9447-2994

Qun HuoDepartment of Chemistry and Nanoscience Technology Center, University of Central Florida, Orlando, FL 32826, USA.ORCID 0000-0001-8962-5506

Funding

National Institute of Food and Agriculture GEO00916

6 · The paper itself

Abstract

The study objective was to compare the ability of Brix values and the D2Dx immunity test to predict the mortality risk of calves under 30 days of age. Heifer calves at 2-3 days of age were enrolled from two farms: Farm A, which has a low calf mortality rate (n = 849, 2.9% mortality), and Farm B, which has a high calf mortality rate (n = 698, 11.7% mortality). Serum samples were collected from the calves when they were 2-3 days of age. The D2Dx scores and Brix values of serum samples were compared between calves that died or survived between 3-30 days of age. For both farms, calves that survived their first 30 days of life had greater serum Brix values (9.05 vs. 8.48,

Indexed as

calf mortality riskD2Dx immunity testhumoral immunitytransfer of passive immunity

Identifiers

PMID40563836

DOI10.3390/biology14060584

PMCPMC12189824

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.