Evidence mapPaperPMID 41889382Full record

ArticleThe Lancet regional health. Western Pacific2026

Associations between non-optimum temperatures and cardiovascular hospital admissions and effect modification by ambient particulate air pollution: a two-stage time-series study in China.

Huimeng Liu, Jian Lei, Yunxing Jiang, Lijun Bai, Kai Wang, Chenlu Yang, Ge Li, Juan Chen, Yang Lan, Xi Xia and 10 more

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

20 authors.

Huimeng LiuDepartment of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, China.
Jian LeiDepartment of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, China.
Yunxing JiangDepartment of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, China.
Lijun BaiDepartment of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, China.
Kai WangDepartment of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, China.
Chenlu YangDepartment of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, China.
Ge LiDepartment of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, China.
Juan ChenDepartment of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, China.
Yang LanDepartment of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, China.
Xi XiaDepartment of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, China.
Jinxi WangYunyi Health Technology Co. Ltd., Beijing, 102629, China.
Chen WeiYunyi Health Technology Co. Ltd., Beijing, 102629, China.
Yinxiang LiChina-Europe Association for Technical and Economic Cooperation, Beijing, 100710, China.
Yuewei LiuDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, 510275, China.
Jing WeiCollege of Environmental Sciences and Engineering, Institute of Tibetan Plateau, and Center for Environment and Health, Peking University, Beijing, 100871, China.
Shengzhi SunDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, 100069, China.
Furong DengDepartment of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191, China.
Xinbiao GuoDepartment of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191, China.
Xi ChenNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China.
Shaowei WuDepartment of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: It remains unclear whether non-optimum temperatures are associated with hospital admissions for subtypes of cardiovascular events, and how PM Methods: Hospital admission data of major cardiovascular events were obtained from two major national health insurance systems across 270 cities of prefecture-level or above in China during 2013-2017. A two-stage time-series study was conducted using a generalized additive model with a quasi-Poisson family, combined with a distributed lag nonlinear regression model, to explore the exposure-response associations of non-optimum temperatures with hospital admissions. Effect modification was investigated by stratifying ambient particulate air pollution levels into quartile groups. Findings: In a total of 24,564,921 hospital admission records for major cardiovascular events, compared with the minimum morbidity temperature (18.3 °C), the relative risks (RRs) of hospital admissions for total major cardiovascular events associated with extreme cold temperature (-3.1 °C, 2.5th percentile) and extreme hot temperature (27.9 °C, 97.5th percentile) were 1.69 [95% confidence interval (CI): 1.46-1.96] and 1.27 (95% CI: 1.15-1.41), respectively. Such temperature-hospital admission associations were amplified at high BC levels, especially under extreme hot temperature, with RR increased from 1.14 (95% CI: 1.02-1.28) in the first quartile to 1.53 (95% CI: 1.31-1.78) in the fourth quartile group of BC levels. Interpretation: Our study suggests that both extreme cold and hot temperatures contribute to elevated hospital admission risks for major cardiovascular events, with high BC levels further exacerbating the risks associated with extreme hot temperature. Funding: National Science Fund for Distinguished Young Scholars of China (grant number 82525058), National Natural Science Foundation of China (grant number 82203991), and Youth Top Talent Program of Xi'an Jiaotong University.

Indexed as

Ambient particulate air pollutionCardiovascular eventsTemperatureTime-series study

Identifiers

PMID41889382
PMCPMC13015755

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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 Socratic graph.