Evidence map›Paper›PMID 30411250›Full record

ArticleInternational journal of biometeorology2019

Extreme temperature and mortality: evidence from China.

Zhiming Yang, Qing Wang, Pengfei Liu

Abstract read
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In one paragraph

Article in International journal of biometeorology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Pooled it
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  10. Global Population Exposure to Extreme Temperatures and Disease Burden.International journal of environmental research and public health · 2022
    Article
  11. Article
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  13. County level study of the interaction effect of PMFrontiers in public health · 2022
    Article
  14. Short-Term Effect of Temperature Change on Non-Accidental Mortality in Shenzhen, China.International journal of environmental research and public health · 2021
    Article
  15. Article
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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

3 authors.

Zhiming YangDonlinks School of Economics and Management, University of Science and Technology Beijing, Beijing, 100083, China.
Qing WangSchool of Business, Dalian University of Technology, Panjin, 124221, Liaoning, China. qingwang@dlut.edu.cn.
Pengfei LiuDepartment of Aquaculture and Fisheries, University of Arkansas at Pine Bluff, 1200 N. University Drive, Box 4912, Pine Bluff, AR, 71601, USA.

Funding

Beijing Social Science Foundation 17LJB004China Postdoctoral Science Foundation 2018m630284Fundamental Research Funds for the Central Universities DUT17RC(4)24Fundamental Research Funds for the Central Universities FRF-BR-17-005BFundamental Research Funds for the Central Universities FRF-TP-16-050A1National Natural Science Foundation of China 71503059National Natural Science Foundation of China 71673022National Natural Science Foundation of China 71704010
6 · The paper itself

Abstract

The frequency, intensity, and duration of extreme temperature events are expected to rise in the future and increase the related health risks of human beings. Using a novel, nationwide dataset that links extreme temperature and mortality, we estimated the short-term and long-term effects of extreme temperature on mortality in China during 2002-2013. Both extreme hot and extreme cold had immediate and long-term effects on all-cause mortality. Annual deaths per 100,000 people due to extreme hot and cold in the long term were considerably larger compared to the short term. The change in cold spell duration indicator exhibited the greatest effects on annual deaths per 100,000 people among a set of extreme weather indicators. Furthermore, cities with low economic development levels were more vulnerable to extreme temperature, compared to cities with high economic development levels. Our results offer important policy implications for developing a regional-specific extreme weather plan to handle extreme temperature events in China.

Indexed as

MortalityChinaExtreme ColdHot TemperatureHumansChinaClimate changeExtreme temperatureInfinite distributed lag modelMortality

Identifiers

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.