Evidence map›Paper›PMID 42146004›Full record

ArticleChina CDC weekly2026

Health Risk Assessment of the Large-Scale Heat Waves - Northern China, 2023.

Chen Chen, Runmei Ma, Shunshun Zhang, Yueqiao Zhou, Wenfeng Fan, Haiqiong Lu, Yuanyuan Liu, Qing Wang, Tiantian Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in China CDC weekly, 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

9 authors.

Chen ChenNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, China CDC Key Laboratory of Environment and Population Health, China Meteorological Administration Key Laboratory of Meteorological Medicine and Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Runmei MaNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, China CDC Key Laboratory of Environment and Population Health, China Meteorological Administration Key Laboratory of Meteorological Medicine and Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Shunshun ZhangSchool of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing City, Jiangsu Province, China.
Yueqiao ZhouNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, China CDC Key Laboratory of Environment and Population Health, China Meteorological Administration Key Laboratory of Meteorological Medicine and Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Wenfeng FanNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, China CDC Key Laboratory of Environment and Population Health, China Meteorological Administration Key Laboratory of Meteorological Medicine and Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Haiqiong LuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, China CDC Key Laboratory of Environment and Population Health, China Meteorological Administration Key Laboratory of Meteorological Medicine and Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Yuanyuan LiuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, China CDC Key Laboratory of Environment and Population Health, China Meteorological Administration Key Laboratory of Meteorological Medicine and Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Qing WangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, China CDC Key Laboratory of Environment and Population Health, China Meteorological Administration Key Laboratory of Meteorological Medicine and Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Tiantian LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, China CDC Key Laboratory of Environment and Population Health, China Meteorological Administration Key Laboratory of Meteorological Medicine and Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: Heat waves pose significant mortality risks, particularly for older persons and those with cardiovascular diseases, as established in studies in the United States and China. What is added by this report?: This report quantifies the impact of the unprecedented June 2023 heat waves in Northern China across 420 counties, documenting 599 early-onset, intense, prolonged events and estimating excess mortality at 6.1 per million overall (higher at 4.7 for thoses agaed over 65 years and 5.6 for cardiovascular patients), including 6.2 per million from one prolonged June 21 to 27 wave. What are the implications for public health practice?: Findings support implementing targeted early warning systems and protective interventions for vulnerable groups like old adults and cardiovascular patients during similar extreme heat events.

Indexed as

Health risk assessmentHeat waveRegional adverse effects

Identifiers

PMID42146004
PMCPMC13172590

What OpenQuestion holds

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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.