Evidence map›Paper›PMID 33962633›Full record

ArticleEnvironmental health : a global access science source2021

Time-series analysis of daily ambient temperature and emergency department visits in five US cities with a comparison of exposure metrics derived from 1-km meteorology products.

Nikita Thomas, Stefanie T Ebelt, Andrew J Newman, Noah Scovronick, Rohan R D'Souza, Shannon E Moss, Joshua L Warren, Matthew J Strickland, Lyndsey A Darrow, Howard H Chang

Abstract read
In one paragraph

Article in Environmental health : a global access science source, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

10 authors.

Nikita ThomasDepartment of Biostatistics and Bioinformatics, Emory University, Atlanta, USA.
Stefanie T EbeltGangarosa Department of Environmental Health, Emory University, Atlanta, USA.
Andrew J NewmanResearch Applications Laboratory, National Center for Atmospheric Research, Boulder, USA.
Noah ScovronickGangarosa Department of Environmental Health, Emory University, Atlanta, USA.
Rohan R D'SouzaDepartment of Biostatistics and Bioinformatics, Emory University, Atlanta, USA.
Shannon E MossDepartment of Biostatistics and Bioinformatics, Emory University, Atlanta, USA.
Joshua L WarrenDepartment of Biostatistics, Yale University, New Haven, USA.
Matthew J StricklandSchool of Community Health Sciences, University of Nevada Reno, Reno, USA.
Lyndsey A DarrowSchool of Community Health Sciences, University of Nevada Reno, Reno, USA.
Howard H ChangDepartment of Biostatistics and Bioinformatics, Emory University, Atlanta, USA. howard.chang@emory.edu.ORCID 0000-0002-6316-1640

Funding

Pilot Project ProgramP30ES019776 · NIEHS · EMORY UNIVERSITY · PI Carmen Joseph Marsit · 2013 to 2026
$22.6M
Extreme heat events and pregnancy duration: a national studyR01ES028346 · NIEHS · EMORY UNIVERSITY · PI CHANG, HOWARD H, DARROW, LYNDSEY · 2018 to 2024
$2.7M
Data Integration Methods for Environmental Exposures with Applications to Air Pollution and Asthma MorbidityR01ES027892 · NIEHS · EMORY UNIVERSITY · PI CHANG, HOWARD H · 2017 to 2021
$2.7M
Climate change and heat-related morbidity among vulnerable populations in AtlantaR21ES023763 · NIEHS · EMORY UNIVERSITY · PI EBELT, STEFANIE · 2013 to 2014
$439k
NIEHS NIH HHS P30 ES019776NIEHS NIH HHS R01 ES027892NIEHS NIH HHS R01 ES028346NIEHS NIH HHS R21 ES023763
6 · The paper itself

Abstract

backgroundAmbient temperature observations from single monitoring stations (usually located at the major international airport serving a city) are routinely used to estimate heat exposures in epidemiologic studies. This method of exposure assessment does not account for potential spatial variability in ambient temperature. In environmental health research, there is increasing interest in utilizing spatially-resolved exposure estimates to minimize exposure measurement error.

methodsWe conducted time-series analyses to investigate short-term associations between daily temperature metrics and emergency department (ED) visits for well-established heat-related morbidities in five US cities that represent different climatic regions: Atlanta, Los Angeles, Phoenix, Salt Lake City, and San Francisco. In addition to airport monitoring stations, we derived several exposure estimates for each city using a national meteorology data product (Daymet) available at 1 km spatial resolution.

resultsAcross cities, we found positive associations between same-day temperature (maximum or minimum) and ED visits for heat-sensitive outcomes, including acute renal injury and fluid and electrolyte imbalance. We also found that exposure assessment methods accounting for spatial variability in temperature and at-risk population size often resulted in stronger relative risk estimates compared to the use of observations at airports. This pattern was most apparent when examining daily minimum temperature and in cities where the major airport is located further away from the urban center.

conclusionEpidemiologic studies based on single monitoring stations may underestimate the effect of temperature on morbidity when the station is less representative of the exposure of the at-risk population.

Indexed as

Acute Kidney InjuryCitiesEmergency Service, HospitalEnvironmental ExposureGastrointestinal DiseasesHeat Stress DisordersHot TemperatureHumansMeteorologyRespiratory Tract DiseasesUnited StatesWater-Electrolyte ImbalanceDaymetEmergency department visitsExposure assessmentHealth effectTemperature

Identifiers

PMID33962633
PMCPMC8106140

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.