ArticleJournal of veterinary emergency and critical care (San Antonio, Tex. : 2001)
Associations Among Various Physical Parameters and the Axillary-to-Rectal Temperature Difference in Dogs and Cats.
Article in Journal of veterinary emergency and critical care (San Antonio, Tex. : 2001). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Associations Among Various Physical Parameters and the Axillary-to-Rectal Temperature Difference in Dogs and Cats.Journal of veterinary emergency and critical care (San Antonio, Tex. : 2001)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
objectiveTo compare the measurement of axillary temperature (AT) with rectal temperature (RT) in dogs and cats and to identify the influence of physical parameters on the difference between their measurement using a veterinary-specific thermometer.
designProspective study (2022-2024).
settingUniversity teaching hospital. ANIMALS: A total of 106 dogs and 101 cats aged ≥4 months.
interventionsBody temperatures were measured contemporaneously using a veterinary-specific, calibrated, dual-thermistor axillary thermometer (AT) and a calibrated medical thermometer (RT). Data were evaluated for bias as a whole set and after stratification based on various physical parameters (species, body weight, haircoat length, body condition score [BCS]). A machine learning (ML) model was subsequently applied, and bias was reevaluated. MEASUREMENTS AND MAIN
resultsA Bland-Altman analysis comparing the measurement of AT with RT showed a bias of 1.01°C (1.82°F) and 95% limits of agreement (LOA) -0.66°C to 2.68°C (-1.19°F to 4.83°F) in dogs and a bias of 0.23°C (0.42°F) and 95% LOA of -2.61°C to 3.08°C (-4.71°F to 5.55°F) in cats. Animals weighing <10 kg had a bias of 0.33°C (95% LOA: -2.29°C to 2.96°C), animals with BCS <5 had a bias of 0.09°C (95% LOA: -2.92°C to 3.11°C), and those with shorter haircoats had a bias of 0.49°C (95% LOA: -2.03°C to 3.00°C). The ML model overestimated RT when using AT and physical parameters in its algorithm (dogs: -0.57°C [95% LOA: -2.18°C to 0.99°C]; cats -0.84°C [95% LOA: -2.62°C to 0.93°C]).
conclusionsAnimals weighing <10 kg, with lower BCS, and shorter haircoats had less bias when AT was compared with RT. Cats exhibited a lower bias between AT and RT than dogs. ML models can be programmed to account for various physical characteristics, improving the predictive impact of AT for directly measured RT, especially in categories of animals where closer prediction does not already exist.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.