Evidence map›Paper›PMID 41043566›Full record

ArticleJournal of equine veterinary science2025

Changes in equine complete blood count parameters and inflammatory indices with inflammation.

M M Friend, E M McGaffigan, S M Hall, W B Staniar, D N Smarsh

Abstract read
In one paragraph

Article in Journal of equine veterinary science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

M M FriendDepartment of Animal Science, College of Agricultural Sciences, Pennsylvania State University, 439 Shortlidge Road, University Park, PA 16802, USA. Electronic address: mmf6157@psu.edu.
E M McGaffiganDepartment of Animal Science, College of Agricultural Sciences, Pennsylvania State University, 439 Shortlidge Road, University Park, PA 16802, USA.
S M HallDepartment of Animal Science, College of Agricultural Sciences, Pennsylvania State University, 439 Shortlidge Road, University Park, PA 16802, USA.
W B StaniarDepartment of Animal Science, College of Agricultural Sciences, Pennsylvania State University, 439 Shortlidge Road, University Park, PA 16802, USA.
D N SmarshDepartment of Animal Science, College of Agricultural Sciences, Pennsylvania State University, 439 Shortlidge Road, University Park, PA 16802, USA.

Funding

Research Training in Physiological Adaptations to StressT32GM154124 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI MARGHERITA T CANTORNA, Kevin John Harvatine · 2024 to 2026
$1.5M
NIGMS NIH HHS T32 GM154124
6 · The paper itself

Abstract

backgroundEarly detection of inflammation using a common test could be a valuable tool for preserving horse health. HYPOTHESIS: This observational study aimed to identify variation in complete blood count (CBC) parameters and inflammatory indices with inflammation, and to develop reference intervals (RIs) from horses with known inflammatory states, hypothesizing that RIs developed from horses with normal acute phase protein concentrations would improve the ability to predict inflammation.

methodsConcentrations of serum amyloid A (SAA) and haptoglobin from clinically healthy horses and horses under veterinary care (n=199) were used to categorize horses as inflamed (SH+; n=48) or not inflamed (SH-; n=150). Non-inflamed RIs were created using 95 % RIs from horses classified as SH- (non-inflamed). Differences in median values of CBC parameters and inflammatory indices were determined using the Kruskal-Wallis test with Dunn's post-hoc analysis and a Bonferroni correction. Predictive value was determined using ROC analysis, and odds ratios were calculated to determine the value of industry and non-inflamed RIs in detecting inflammation. Significance was set at P ≤ 0.05.

resultsAll three inflammatory indices revealed greater median values in SH+ horses and predictive value greater than all other metrics (AUC=0.64, 0.64, 0.66, respectively). Horses falling above or below all three inflammatory index RIs (SII, SIRI, and AISI) were 6.32, 4.54, and 7 times more likely to be SH+. Additionally, a greater number of non-inflamed RIs yielded increased likelihood of SH+ categorization than industry RIs.

conclusionThese results suggest inflammatory indices and non-inflamed RIs may be a valuable tool to aid in the detection of inflammation in horses.

Indexed as

Horse DiseasesInflammationAnimalsBlood Cell CountFemaleHaptoglobinsHorsesMaleReference ValuesSerum Amyloid A ProteinHaptoglobinsSerum Amyloid A ProteinComplete blood countHaptoglobinHematologyHorseInflammatory indexSerum amyloid A

Identifiers

PMID41043566
PMCPMC12614812

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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.