Evidence map›Paper›PMID 36789097›Full record

ArticleThe World Allergy Organization journal2023

Spatial, temporal and demographic patterns in asthma mortality in China: A systematic analysis from 2014 to 2020.

Xunliang Tong, Peng Yin, Wei Liu, Simiao Chen, Pascal Geldsetzer, Zheng Long, Anqi Cheng, Maigeng Zhou, Yanming Li

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The World Allergy Organization journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 5 institutions in 3 countries.

Xunliang TongDepartment of Pulmonary and Critical Care Medicine, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
Peng YinNational Center for Chronic and Non-communicable Disease Control and Prevention, China CDC, Beijing, China.
Wei LiuNational Center for Chronic and Non-communicable Disease Control and Prevention, China CDC, Beijing, China.
Simiao ChenHeidelberg Institute of Global Health, Faculty of Medicine and University Hospital, Heidelberg University, Heidelberg, Germany.
Pascal GeldsetzerDepartment of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Zheng LongNational Center for Chronic and Non-communicable Disease Control and Prevention, China CDC, Beijing, China.
Anqi ChengDepartment of Tobacco Control and Prevention of Respiratory Diseases China-Japan Friendship Hospital, Beijing, China.
Maigeng ZhouNational Center for Chronic and Non-communicable Disease Control and Prevention, China CDC, Beijing, China.
Yanming LiDepartment of Pulmonary and Critical Care Medicine, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
Beijing Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNChinese Center For Disease Control and Prevention · CNNational Center for Chronic and Noncommunicable Disease Control and Prevention · CNHarvard Global Health Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Asthma is an important contributor to the burden of non-communicable diseases in China. Understanding spatial, temporal, and demographic patterns in asthma mortality is relevant to the design and implementation of targeted interventions. Methods: This study collected information on asthma deaths occurring across 605 disease surveillance points (DSPs) as recorded in the population-based national mortality surveillance system (NMSS) of China. Asthma was defined according to the International Classification of Diseases, 10th Revision code J45-J46. Estimates of age-standardized mortality rates and total national asthma deaths were calculated based on yearly population data. Statistical analysis was performed to investigate the influence of various factors on asthma mortality. Results: Between 2014 and 2020, a total of 40 116 asthma deaths occurred in DSPs. Standardized asthma mortality per 100 000 people decreased from 1.79 (95% CI: 1.74-1.83) in 2014 to 1.07 (95% CI: 1.03-1.10) in 2020 in China. In 2020, the overall asthma mortality rate was higher for male patients than for female patients, and asthma mortality rates increased substantially with age. Age-standardized asthma mortality per 100,000 people exhibited significant geographic variation, ranging from 0.93 (95% CI: 0.89-0.98) in Eastern China to 1.04 (95% CI: 0.98-1.10) in Central China and 1.37 (95% CI: 1.29-1.45) in Western China in 2020. Asthma mortality in urban areas appeared to be higher than in rural areas. Socioeconomic factors, including gross domestic product per capita and density of hospital beds per 10,000 population, may be related to asthma mortality. Male asthma patients who lived in rural areas and were aged 65 years and above were generally at high risk of asthma-related mortality. Conclusions: This study found a spatial and temporal trend for a reduction in asthma deaths over seven years in China; however, there remain important sociodemographic groups that have not secured the same decrease in mortality rates. Trial registration: This was a purely observational study and thus registration was not required.

Indexed as

AAPC, average annual percent changeAsthma mortalityCDC, Center for Disease Control and PreventionChinaDALY, disability-adjusted life yearsDisease surveillanceDSP, disease surveillance pointsEpidemiologyNMSS, national mortality surveillance systemSDI, Socio-Demographic IndexTrendWHO, World Health Organization

Identifiers

PMID36789097
PMCPMC9900450
OpenAlexW4318262283

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.