Evidence map›Paper›PMID 42476797›Full record

ArticleThe Journal of veterinary medical science2026

Clinical evaluation of plasma D-dimer concentrations as a marker for thromboembolism in cattle with inflammation.

Saki Ohkubo, Masaki Maezawa, Ken-Ichi Watanabe, Yoshiyasu Kobayashi, Hisashi Inokuma

Abstract read
In one paragraph

Article in The Journal of veterinary medical science, 2026. 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

Who cites it

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

5 authors.

Saki OhkuboDepartment of Veterinary Science, Obihiro University of Agriculture and Veterinary Medicine, Hokkaido, Japan.
Masaki MaezawaDepartment of Veterinary Science, Obihiro University of Agriculture and Veterinary Medicine, Hokkaido, Japan.
Ken-Ichi WatanabeDepartment of Veterinary Science, Obihiro University of Agriculture and Veterinary Medicine, Hokkaido, Japan.
Yoshiyasu KobayashiDepartment of Veterinary Science, Obihiro University of Agriculture and Veterinary Medicine, Hokkaido, Japan.
Hisashi InokumaDepartment of Veterinary Science, Obihiro University of Agriculture and Veterinary Medicine, Hokkaido, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plasma D-dimer concentrations were measured in 15 cases with thromboembolism and 19 cases without thromboembolism among bovine patients with inflammatory diseases, and the clinical usefulness of plasma D-dimer as a thromboembolic marker was evaluated. No significant difference in plasma D-dimer concentrations was observed between the two groups. A receiver operating characteristic curve was created, and with a plasma D-dimer cutoff value of 0.38 mg/L, the sensitivity and the specificity were 86.7% and 31.2%, respectively. Furthermore, there was a large variability in plasma D-dimer concentrations in cases with thromboembolism. These results indicate that the measurement of plasma D-dimer alone in the diagnosis of thromboembolism in cattle does not have sufficient specificity. In a multivariate logistic regression analysis regarding thromboembolism detection, platelet count was significant in the likelihood ratio test, suggesting that considering platelet count in addition to plasma D-dimer may allow for the detection of thromboembolism.

Indexed as

Cattle DiseasesFibrin Fibrinogen Degradation ProductsInflammationThromboembolismAnimalsBiomarkersCattleFemaleMalePlatelet CountROC CurveSensitivity and SpecificityBiomarkersFibrin Fibrinogen Degradation Productsfibrin fragment DcattleD-dimerinflammatory diseasethromboembolism

Identifiers

PMID42476797
PMCPMC13680703

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.