Evidence map›Paper›PMID 42273262›Full record

ArticleFrontiers in veterinary science2026

Evaluation of thermal camera measurement stability and factors associated with infrared eye temperature in dogs.

Sahar Rostami, Kimberly A Woodruff, Abigail McBride, Jingyi Shi, David R Smith

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2026. 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
–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

1 citing paper in PubMed.

  1. 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.

Sahar RostamiDepartment of Pathobiology and Population Medicine, College of Veterinary Medicine, Mississippi State University, Starkville, MS, United States.
Kimberly A WoodruffDepartment of Pathobiology and Population Medicine, College of Veterinary Medicine, Mississippi State University, Starkville, MS, United States.
Abigail McBrideDepartment of Pathobiology and Population Medicine, College of Veterinary Medicine, Mississippi State University, Starkville, MS, United States.
Jingyi ShiDepartment of Mathematics and Statistics, College of Arts and Sciences, Mississippi State University, Starkville, MS, United States.
David R SmithDepartment of Pathobiology and Population Medicine, College of Veterinary Medicine, Mississippi State University, Starkville, MS, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-invasive thermal monitoring, such as infrared thermography (IRT), offers a potential alternative to traditional thermometry in veterinary settings. This study aimed to characterize the relationship between maximum eye temperature (ET) and rectal temperature (RT) in dogs. Our field study included 97 observations from 57 shelter dogs whose ET was measured using IRT on 4 separate days. For each observation, 3 consecutive ET measurements were obtained at 10-min intervals, followed by a RT measurement. Device temporal stability was evaluated measurement drift using an insulated box as a controlled environment; the temperature of a fixed point on the inner wall was recorded at 5-min intervals for 1 h using the same thermal camera. Data from both studies were analyzed using repeated-measures linear mixed-effects regression models. In field study, RT, age group, and repetition number were significantly associated with ET. For every 1 °C increase in RT, ET increased by an estimated 0.6 °C (95% CI, 0.3 to 0.9). On average, compared with puppies, adults had lower ET (

Indexed as

canineeye temperatureinfrared thermographyrectal temperatureshelter dogs

Identifiers

PMID42273262
PMCPMC13246428

What OpenQuestion holds

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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.