Evidence map›Paper›PMID 41201802›Full record

ArticleJAMA network open2025

Heat- and Cold-Related Mortality Burden in the US From 2000 to 2020.

Lingzhi Chu, Robert Dubrow, Kai Chen

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Lingzhi ChuDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut.
Robert DubrowDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut.
Kai ChenDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut.

Funding

Extreme Heat and Acute Myocardial Infarction: Effect Modifications by Sex, Medical History, and Air PollutionR01HL169171 · NHLBI · YALE UNIVERSITY · PI Kai Chen · 2023 to 2026
$2.9M
NHLBI NIH HHS R01 HL169171
6 · The paper itself

Abstract

Importance: With a warming climate, it is essential to have up-to-date and spatiotemporally resolved quantification of the national mortality burden attributable to nonoptimal temperatures. Objective: To investigate the mortality burden associated with heat and cold in the entire contiguous US from 2000 to 2020. Design, Setting, and Participants: This case series assessed death records from the National Center for Health Statistics for all counties within the contiguous US from January 1, 2000, to December 31, 2020. The study used 2-stage modeling, with the first stage being a case-crossover design with county-specific conditional logistic regression of mortality on daily mean temperature incorporating distributed lag nonlinear models and the second stage pooling the estimates by metaregression. Based on the estimated exposure-response functions for temperature and mortality, attribution analyses for low and high temperatures were performed. Calendar time trends were analyzed, and stratified analyses by cause of death and demographic factors (ie, age, sex, and marital status) were performed. This analysis was conducted from August 9, 2024, to June 16, 2025. Exposures: Daily mean temperature and dewpoint temperature at a 4-km resolution for the contiguous US from the Parameter-Elevation Relationships on Independent Slopes Model (PRISM) climate database. Main Outcomes and Measures: All-cause mortality and 7 specific causes, including endocrine, nutritional and metabolic diseases; mental, behavioral and neurodevelopmental disorders; nervous system diseases; circulatory diseases; respiratory diseases; digestive diseases; and external causes. Results: A total of 54 223 429 deceased individuals were included in the analyses. Most decedents were 65 years or older (73.4%); 50.2% were male, 37.4% were married, and 35.1% were widowed. Both low and high temperatures were associated with increased odds of death within 0 to 6 days. Compared with the minimum mortality temperature, temperatures at the 5th and 95th percentiles were associated with odds ratios (ORs) of 1.057 (95% CI, 1.051-1.064) and 1.011 (95% CI, 1.009-1.013), respectively. The excess annual deaths attributable to low and high temperatures were estimated to be 45 992 (95% CI, 28 639-63 202) and 3414 (95% CI, 1650-5173), respectively, with regional variations and an increase in the high temperature burden from 2670 annual deaths during the 2000-2009 period to 4091 during the 2010-2020 period. Heterogeneity existed by cause of death, age, sex, and marital status. Conclusions and Relevance: In this case series, nonoptimal temperatures were critical environmental contributors associated with mortality burden, with differential vulnerability by geographic location, cause of death, and demographic factors. These findings highlight the need for urgent actions against temperature-related health burdens through tailored climate and public health strategies, considering the local context and demographic profiles.

Indexed as

Cold TemperatureHot TemperatureMortalityAdolescentAdultAgedAged, 80 and overCause of DeathChildChild, PreschoolFemaleHumansInfantInfant, NewbornMaleMiddle Aged

Identifiers

PMID41201802
PMCPMC12595540

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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.