Evidence map›Paper›PMID 38612225›Full record

ArticleAnimals : an open access journal from MDPI2024

Infrared Spectroscopy of Synovial Fluid Shows Accuracy as an Early Biomarker in an Equine Model of Traumatic Osteoarthritis.

Luca Panizzi, Matthieu Vignes, Keren E Dittmer, Mark R Waterland, Chris W Rogers, Hiroki Sano, C Wayne McIlwraith, Christopher B Riley

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 39% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

8 authors at 3 institutions in 2 countries.

Luca PanizziSchool of Veterinary Science, Massey University, Palmerston North 4442, New Zealand.ORCID 0000-0002-5569-6733
Matthieu VignesSchool of Mathematical and Computational Sciences, Massey University, Palmerston North 4442, New Zealand.ORCID 0000-0001-8929-2975
Keren E DittmerSchool of Veterinary Science, Massey University, Palmerston North 4442, New Zealand.ORCID 0000-0002-1813-2197
Mark R WaterlandSchool of Natural Sciences, Massey University, Palmerston North 4442, New Zealand.ORCID 0000-0002-8493-9407
Chris W RogersSchool of Veterinary Science, Massey University, Palmerston North 4442, New Zealand.ORCID 0000-0002-4253-1825
Hiroki SanoVeterinary Specialty Hospital Hong Kong, G/F-2/F 165-171 Wan Chai Road, Wan Chai, Hong Kong, China.ORCID 0000-0001-8994-817X
C Wayne McIlwraithOrthopaedic Research Center, C. Wayne McIlwraith Translational Medicine Institute, Colorado State University, Fort Collins, CO 80523, USA.ORCID 0000-0002-7302-2265
Christopher B RileyDepartment of Clinical Studies, Ontario Veterinary College, Guelph, ON N1G 2W1, Canada.ORCID 0000-0001-8679-7986
Massey University · NZColorado State University · USOntario Veterinary College

Funding

New Zealand Equine Trust, Massey University 3000023006
6 · The paper itself

Abstract

Osteoarthritis is a leading cause of lameness and joint disease in horses. A simple, economical, and accurate diagnostic test is required for routine screening for OA. This study aimed to evaluate infrared (IR)-based synovial fluid biomarker profiling to detect early changes associated with a traumatically induced model of equine carpal osteoarthritis (OA). Unilateral carpal OA was induced arthroscopically in 9 of 17 healthy thoroughbred fillies; the remainder served as Sham-operated controls. The median age of both groups was 2 years. Synovial fluid (SF) was obtained before surgical induction of OA (Day 0) and weekly until Day 63. IR absorbance spectra were acquired from dried SF films. Following spectral pre-processing, predictive models using random forests were used to differentiate OA, Sham, and Control samples. The accuracy for distinguishing between OA and any other joint group was 80%. The classification accuracy by sampling day was 87%. For paired classification tasks, the accuracies by joint were 75% for OA vs. OA Control and 70% for OA vs. Sham. The accuracy for separating horses by group (OA vs. Sham) was 68%. In conclusion, SF IR spectroscopy accurately discriminates traumatically induced OA joints from controls.

Indexed as

biomarkercarpalequinehorseinfraredmodelosteoarthritisspectroscopysynovial fluidtraumatic

Identifiers

PMID38612225
PMCPMC11011100
OpenAlexW4393081598

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.