Evidence map›Paper›PMID 40343925›Full record

ArticlePloS one2025

Reliability and agreement during the Rapid Entire Body Assessment: Comparing rater expertise and artificial intelligence.

Denise Balogh, Xiaoxiao Cui, Monique Mayer, Niels Koehncke, Ryan Dueck, Angelica E Lang

Abstract readComparative Study
In one paragraph

Article in PloS one, 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. Article
  2. Occupational health hazards in veterinary oncology practice.The Canadian veterinary journal = La revue veterinaire canadienne · 2025
    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

6 authors.

Denise BaloghCanadian Center for Rural and Agricultural Health, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.ORCID 0009-0005-8812-5792
Xiaoxiao CuiCollege of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong, China.
Monique MayerSmall Animal Clinical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
Niels KoehnckeCanadian Center for Rural and Agricultural Health, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
Ryan DueckIPM Occupational Therapy, Saskatoon, Saskatchewan, Canada.
Angelica E LangCanadian Center for Rural and Agricultural Health, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.ORCID 0000-0002-3952-1140

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to examine the reliability and agreement between human raters (novice, intermediate, and expert) and TuMeke Risk Suite when assessing work with the Rapid Entire Body Assessment (REBA). Twenty-one videos portraying veterinarians performing an equine radiograph were assessed with REBA by human raters and TuMeke Risk Suite (ergonomic artificial intelligence software). Intra-rater reliability of the final REBA score was highest for TuMeke Risk Suite (ICC = 1.0), then the expert rater (ICC = 0.89 (0.78-0.95)), and lowest for the novice rater (ICC = 0.51 (0.25-0.74)). Agreement between the expert rater and TuMeke Risk Suite was highest for scores of the trunk, leg, and upper arm, and lowest for the neck, wrist, and lower arm. The REBA tool in TuMeke Risk Suite may be of benefit to less experienced users to enhance reliability of their REBA assessments, especially when the trunk, legs, and upper arm are of primary interest.

Indexed as

Artificial IntelligenceAnimalsHorsesHumansObserver VariationReproducibility of ResultsVeterinarians

Identifiers

PMID40343925
PMCPMC12063896

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.