Evidence map›Paper›PMID 42585209›Full record

ArticlePloS one2026

Assessment of temperature on mortality burden and economic impacts in a basin-located mega-city.

Dan Kuang, Wen Qian, Jingwen Sun, Jingqiu Yao, Xufang Gao, Nan Du, Jiaqi Huang, Wei Huang, Cheng Wang, Rong Lu

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Dan KuangDepartment of Environmental and School Health, Chengdu Center for Disease Control and Prevention, Chengdu, Sichuan, China.ORCID https://orcid.org/0000-0002-0208-0812
Wen QianDepartment of Environmental and School Health, Chengdu Center for Disease Control and Prevention, Chengdu, Sichuan, China.
Jingwen SunDepartment of Environmental and School Health, Chengdu Center for Disease Control and Prevention, Chengdu, Sichuan, China.
Jingqiu YaoDepartment of Environmental and School Health, Chengdu Center for Disease Control and Prevention, Chengdu, Sichuan, China.
Xufang GaoDepartment of Environmental and School Health, Chengdu Center for Disease Control and Prevention, Chengdu, Sichuan, China.
Nan DuDepartment of Environmental and School Health, Chengdu Center for Disease Control and Prevention, Chengdu, Sichuan, China.
Jiaqi HuangDepartment of Environmental and School Health, Chengdu Center for Disease Control and Prevention, Chengdu, Sichuan, China.
Wei HuangDepartment of Environmental and School Health, Chengdu Center for Disease Control and Prevention, Chengdu, Sichuan, China.
Cheng WangDepartment of Environmental and School Health, Chengdu Center for Disease Control and Prevention, Chengdu, Sichuan, China.
Rong LuDepartment of Environmental and School Health, Chengdu Center for Disease Control and Prevention, Chengdu, Sichuan, China.ORCID https://orcid.org/0009-0007-2977-9993

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to examine the association between ambient temperature and non-accidental mortality, and to systematically quantify the mortality burden and economic impacts attributable to non-optimum temperatures in Chengdu in 2022.

methodsWe collected daily non-accidental mortality records for 23 counties from the Chengdu Center for Disease Control and Prevention from January 1, 2015, to December 31, 2021, along with potential effect modifiers covering demographic, air quality, and socioeconomic indicators. A Poisson-based distributed lag non-linear model (DLNM) was used to estimate the temperature-non-accidental mortality association, followed by quantification of non-optimal temperature-related mortality risk and burden. We further evaluated the excess deaths and associated economic burden of non-optimal temperatures in Chengdu in 2022 using the value of statistical life (VSL) method.

resultsDuring the study period, 584,063 non-accidental deaths were recorded, and a stable U-shaped temperature-mortality association was identified. In total, non-optimal temperatures accounted for 7.24% of non-accidental mortality, with a higher AF for cold temperatures (5.82%) than for hot temperatures (1.42%). The AFs for cardiovascular and respiratory disease mortality were 10.59% and 7.63%, respectively. More significant mortality burdens related to non-optimal temperatures were found in females, the elderly (≥75 years), and groups with low education or alternative marital status. In 2022, non-optimal temperature exposure led to 11,316 excess deaths in Chengdu, translating into a VSL-based mortality economic loss of 21.428 billion RMB.

conclusionsGiven ongoing global climate change, the mortality burden and economic losses caused by non-optimal temperatures in this basin-located mega-city merit urgent attention. Corresponding adaptive strategies are therefore required to protect the general public, especially vulnerable populations, from worsening climate-related health risks.

Indexed as

Cardiovascular DiseasesMortalityTemperatureChinaCitiesFemaleHumansRespiratory Tract Diseases

Identifiers

PMID42585209
PMCPMC13465830

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.