Observational studyMedicine2015
All-Cause and Cause-Specific Risk of Emergency Transport Attributable to Temperature: A Nationwide Study.
Observational study in Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers, 1 of them a synthesis that pooled it.
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
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Heat, heatwaves, and ambulance service use: a systematic review and meta-analysis of epidemiological evidence.International journal of biometeorology · 2023Pooled it
- Article
- Short-term effect of temperature on cause-specific, sex-specific, and age-specific ambulance dispatches in Czechia: a nationwide time-series analysis.International journal of epidemiology · 2025Article
- Cardiovascular morbidity risk attributable to thermal stress: analysis of emergency ambulance dispatch data from Shenzhen, China.BMC public health · 2024Article
- The significant mechanism and treatments of cell death in heatstroke.Apoptosis : an international journal on programmed cell death · 2024Review
- Shifting focus: Time to look beyond the classic physiological adaptations associated with human heat acclimation.Experimental physiology · 2024Review
- The 2023 report of the Lancet Countdown on health and climate change: the imperative for a health-centred response in a world facing irreversible harms.Lancet (London, England) · 2023Review
- Effect of Temperature on Emergency Ambulance Call-Outs for Cardiovascular Causes: A Scoping Review.Environment & health (Washington, D.C.) · 2023Article
- Survey of extreme heat public health preparedness plans and response activities in the most populous jurisdictions in the United States.BMC public health · 2023Article
- Heat wave adaptation paradigm and adaptation strategies of community: A qualitative phenomenological study in Iran.Journal of education and health promotion · 2022Article
- Impact of Extreme Temperatures on Ambulance Dispatches Due to Cardiovascular Causes in North-West Spain.International journal of environmental research and public health · 2020Article
- Article
- Meteorological factors and the incidence of mumps in Fujian Province, China, 2005-2013: Non-linear effects.The Science of the total environment · 2018Article
- Effects of high ambient temperature on ambulance dispatches in different age groups in Fukuoka, Japan.Global health action · 2018Article
- Effects of Dust Storms and Climatological Factors on Mortality and Morbidity of Cardiovascular Diseases Admitted to ED.Emergency medicine international · 2018Article
- Spatiotemporal variations of extreme low temperature for emergency transport: a nationwide observational study.International journal of biometeorology · 2017Observational
- Temporal distribution of gastroenteritis viruses in Ouagadougou, Burkina Faso: seasonality of rotavirus.BMC public health · 2017Article
- Out-of-hospital cardiac arrest risk attributable to temperature in Japan.Scientific reports · 2017Observational
- Erratum: All-Cause and Cause-Specific Risk of Emergency Transport Attributable to Temperature: A Nationwide Study: Erratum.Medicine · 2016Article
Corrections and comments
- Erratum issued
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although several studies have estimated the associations between mortality or morbidity and extreme temperatures in terms of relative risk, few studies have investigated the risk of emergency transport attributable to the whole temperature range nationwide.We acquired data on daily emergency ambulance dispatches in all 47 prefectures of Japan from 2007 to 2010. We examined the relationship between emergency transport and temperature for each prefecture using a Poisson regression model in a distributed lag nonlinear model with adjustment for time trends. A random-effect multivariate meta-analysis was then applied to pool the estimates at the national level. Attributable morbidity was calculated for high and low temperatures, which were defined as those above or below the optimum temperature (ie, the minimum morbidity temperature) and for moderate and also extreme temperatures, which were defined using cutoffs at the 2.5th and 97.5th temperature percentiles.A total of 15,868,086 cases of emergency transport met the inclusion criteria. The emergency transport was attributable to nonoptimal temperature. The median minimum morbidity percentile was in the 79th percentile for all causes, the 96th percentile for cardiovascular disease, and the 92th percentile for respiratory disease. The fraction attributable to low temperature was 6.94% (95% eCI: 5.93-7.70) for all causes, 17.93% (95% eCI: 16.10-19.25) for cardiovascular disease, and 12.19% (95% eCI: 9.90-13.66) for respiratory disease, whereas the fraction attributable to high temperature was small (all causes = 1.01%, 95% eCI: 0.90-1.11; cardiovascular disease = 0.10%, 95% eCI: 0.04-0.14; respiratory disease = 0.29%, 95% eCI: 0.07-0.50). The all-cause morbidity risk that was attributable to temperature was related to moderate cold, with an overall estimate of 6.41% (95% eCI: 5.47-7.20). Extreme temperatures were responsible for a small fraction, which corresponded to 0.57% (95% eCI: 0.50-0.62) for extreme low temperature and 0.29% (95% eCI: 0.26-0.32) for extreme high temperature. The same trends were observed for cardiovascular and respiratory diseases.The majority of temperature-related emergency transport burden was attributable to lower temperature. The effect of extremely high or low temperatures was markedly lower than that attributable to moderately nonoptimal temperatures.
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