ArticleOpen veterinary journal2020
Drugs, dogs, and driving: the potential for year-round thermal stress in UK vehicles.
Article in Open veterinary journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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
7 citing papers in PubMed, 13 citations in OpenAlex.
- Temperature Monitoring in Prehospital Emergency Medical Vehicles - An Observational Study.Prehospital and disaster medicine · 2025Observational
- Assessing risk factors for drug storage practices in veterinary surgeries: A questionnaire study of UK veterinary professionals.Veterinary record open · 2025Article
- Internet-Based Survey on Physical Activity and Incidence of Injury in Active Working Dogs.Animals : an open access journal from MDPI · 2023Article
- Risk Factors for Severe and Fatal Heat-Related Illness in UK Dogs-A VetCompass Study.Veterinary sciences · 2022Article
- The Animal Welfare Science of Working Dogs: Current Perspectives on Recent Advances and Future Directions.Frontiers in veterinary science · 2021Review
- Dogs Don't Die Just in Hot Cars-Exertional Heat-Related Illness (Heatstroke) Is a Greater Threat to UK Dogs.Animals : an open access journal from MDPI · 2020Article
- Surveillance of heat-related illness in small animals presenting to veterinary practices in the UK between 2013 and 2018.Open veterinary journalArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Dogs are regularly transported or housed in vehicles, with guidelines for housing dogs suggesting that the ambient temperature should be maintained between 15°C and 24°C. Veterinary drugs are routinely stored and carried in vehicles providing ambulatory veterinary care. Non-refrigerated medications typically require storage between 8°C and 25°C. Aim: This study aims to investigate the potential for thermal stress associated with vehicular storage and transportation of drugs and dogs in a temperate climate, such as the United Kingdom. Methods: The study used data loggers to continuously record internal temperatures of four vehicles at 15-minute intervals over a two-year period, to investigate the effect of seasonality and time of day on the internal car temperature. Results: The internal car temperature ranged from -7.4°C to 54.5°C during the study period. Temperatures fell below 8°C every month, except June and July. The internal car temperature exceeded typical drug storage recommendations (>25°C) during every month, and exceeded the canine thermoneutral zone (>35°C) from April to September. Peak temperatures occurred between 14:00 and 17:00 hours. Conclusion: The results demonstrate the year-round potential for thermal stress of both dogs and drugs left in cars. Public awareness campaigns highlighting the risks of leaving dogs in hot cars are typically launched in late spring, but should consider launching earlier in light of these findings. Veterinary surgeons transporting drugs should take measures to ensure that drugs are stored within the manufacturer's temperature range year-round. This will limit the potential for drug degradation and decreased efficacy.
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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.