Evidence map›Paper›PMID 38097708›Full record

ArticleScientific reports2023

The trends of disease burden due to high temperature in Mainland China from 1990 to 2019 and its prediction to 2030.

Jiaolong Zheng, Haiyan Lin, Jingyi Ling, Jiaofeng Huang, Dongliang Li

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 27% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Deciphering the epidemiological dynamics:Frontiers in cellular and infection microbiology · 2024
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Burden of Deaths and Disability-adjusted Life Years Attributable to Suboptimal High Temperature in India: Analysis of the Global Burden of Disease Estimates (1990-2021).Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    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

5 authors at 1 institution in 1 country.

Jiaolong Zheng *Department of Hepatobiliary Disease, The 900th Hospital of Joint Logistics Support Force, No. 156 Northern Xi'er Huan Road, Fuzhou, 350025, China.
Haiyan Lin *Department of Hepatobiliary Disease, The 900th Hospital of Joint Logistics Support Force, No. 156 Northern Xi'er Huan Road, Fuzhou, 350025, China.
Jingyi LingDepartment of Hepatobiliary Disease, The 900th Hospital of Joint Logistics Support Force, No. 156 Northern Xi'er Huan Road, Fuzhou, 350025, China.
Jiaofeng HuangDepartment of Hepatology, Hepatology Research Institute, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350025, China.
Dongliang LiDepartment of Hepatobiliary Disease, The 900th Hospital of Joint Logistics Support Force, No. 156 Northern Xi'er Huan Road, Fuzhou, 350025, China. ldliang900@163.com.
Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The risk of high-temperature-related diseases is increasing owing to global warming. This study aimed to assess the trend of disease burden caused by high temperatures in Mainland China from 1990 to 2019 and to predict the trend of disease burden over the next 10 years. The latest data were downloaded from the Global Burden of Disease Database (GBD) for analysis, and the disease burden related to high temperature was described by mortality and disability-adjusted life-years (DALYs) and stratified by etiology, sex, and age. Statistical analyses were performed using the R software. In 2019, there were 13,907 deaths attributed to high temperatures in Mainland China, and this was 29.55% higher than the 10,735 deaths in 1990. Overall, the age-standardized mortality and DALYs attributed to high temperatures showed a downward trend from 1990 to 2019. We observed an etiological shift in high-temperature-related diseases. The age-standardized DALYs contribution attributed to high temperatures in 1990 was mainly from communicable, maternal, neonatal, and nutritional diseases (CMNND) (21.81/100,000), followed by injury (18.30/100,000) and non-communicable diseases (10.40/100,000). In 2019, the largest contribution shifted to non-communicable diseases (10.07/100,000), followed by injuries (5.21/100,000), and CMNND (2.30/100,000). The disease burden attributed to high temperatures was higher in males than in females and increased with age. In 2030, the mortality rate and DALYs due to high temperatures are predicted to decrease further, and the largest contribution will come from chronic non-communicable diseases, the occurrence of which will remain at a high level over the next 10 years. The burden of disease due to high temperatures in Mainland China is still heavy, mainly due to population aging and an increase in non-communicable diseases.

Indexed as

Noncommunicable DiseasesNutrition DisordersChinaCost of IllnessFemaleGlobal HealthHumansInfant, NewbornLife ExpectancyMalePersistent InfectionQuality-Adjusted Life YearsRisk FactorsTemperature

Identifiers

PMID38097708
PMCPMC10721800
OpenAlexW4389728682

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.