Evidence map›Paper›PMID 35410227›Full record

ArticleRespiratory research2022

Distributions and trends of the global burden of COPD attributable to risk factors by SDI, age, and sex from 1990 to 2019: a systematic analysis of GBD 2019 data.

Jiahua Zou, Tao Sun, Xiaohui Song, Ye-Mao Liu, Fang Lei, Ming-Ming Chen, Ze Chen, Peng Zhang, Yan-Xiao Ji, Xiao-Jing Zhang and 5 more

Open access · goldAbstract read
In one paragraph

Article in Respiratory research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 3 pooled it
11.5field-weighted citation impact, top 1% 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

78 citing papers in PubMed, 3 syntheses or guidelines pooled it, 111 citations in OpenAlex.

  1. Pooled it
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  4. Article
  5. Article
  6. Article
  7. The Evolving Landscape of COPD Typization.Medicina (Kaunas, Lithuania) · 2026
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  8. Article
  9. Article
  10. Exposure-response relationship between ambient PMFrontiers in public health · 2026
    Article
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  16. Annals of medicine · 2025
    Article
  17. Article
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18 more citing papers are in PubMed but not listed here.

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

15 authors at 4 institutions in 1 country.

Jiahua Zou *Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Tao Sun *Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Xiaohui Song *Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Ye-Mao Liu *Department of Oncology, Huanggang Central Hospital, NO. 16 Kaopeng Street, Huangzhou District, Huanggang, 438021, China.
Fang LeiInstitute of Model Animal, Wuhan University, Wuhan, China.
Ming-Ming ChenDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Ze ChenInstitute of Model Animal, Wuhan University, Wuhan, China.
Peng ZhangInstitute of Model Animal, Wuhan University, Wuhan, China.
Yan-Xiao JiInstitute of Model Animal, Wuhan University, Wuhan, China.
Xiao-Jing ZhangInstitute of Model Animal, Wuhan University, Wuhan, China.
Zhi-Gang SheDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Jingjing CaiInstitute of Model Animal, Wuhan University, Wuhan, China.
Yunman LuoHuanggang Institute of Translational Medicine, Huanggang, China. luoyunman@hgyy.org.cn.
Ping WangHuanggang Institute of Translational Medicine, Huanggang, China. wangping@hgyy.org.cn.
Hongliang LiDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, 430060, China. lihl@whu.edu.cn.
Wuhan University · CNHuanggang Central Hospital · CNRenmin Hospital of Wuhan University · CNCentral South University · CN

Funding

health commission of hubei province scientific research project grant WJ2021Q046medical flight plan of wuhan university TFJH2018006the hubei science and technology support project 2018BEC473the hubei science and technology support project 2019BFC582the national key r&d program of china 2016YFF0101504the national key r&d program of china 2020YFC2004702the national science foundation of china 81630011the national science foundation of china 81770053the national science foundation of china 81870171the national science foundation of china 81970011the national science foundation of china 81970070the national science foundation of china 81970364the national science foundation of china 82070079
6 · The paper itself

Abstract

backgroundGlobal distributions and trends of the risk-attributable burdens of chronic obstructive pulmonary disease (COPD) have rarely been systematically explored. To guide the formulation of targeted and accurate strategies for the management of COPD, we analyzed COPD burdens attributable to known risk factors.

methodsUsing detailed COPD data from the Global Burden of Disease study 2019, we analyzed disability-adjusted life years (DALYs), years lived with disability (YLDs), years of life lost (YLLs), and deaths attributable to each risk factor from 1990 to 2019. Additionally, we calculated estimated annual percentage changes (EAPCs) during the study period. The population attributable fraction (PAF) and summary exposure value (SEV) of each risk factor are also presented.

resultsFrom 1990 to 2019, the age-standardized DALY and death rates of COPD attributable to smoking and household air pollution, occupational particles, secondhand smoke, and low temperature presented consistently declining trends in almost all socio-demographic index (SDI) regions. However, the decline in YLD was not as dramatic as that of the death rate. In contrast, the COPD burden attributable to ambient particulate matter, ozone, and high temperature exposure showed undesirable increasing trends in the low- and low-middle-SDI regions. In addition, the age-standardized DALY and death rates attributable to each risk factor except household air pollution and low temperature were the highest in the low-middle-SDI region. In 2019, the COPD burden attributable to smoking ambient particulate matter, ozone, occupational particles, low and high temperature was obviously greater in males than in females. Meanwhile, the most important risk factors for female varied across regions (low- and low-middle-SDI regions: household air pollution; middle-SDI region: ambient particles; high-middle- and high-SDI region: smoking).

conclusionsIncreasing trends of COPD burden attributable to ambient particulate matter, ozone, and high temperature exposure in the low-middle- and low-SDI regions call for an urgent need to implement specific and effective measures. Moreover, considering the gender differences in COPD burdens attributable to some risk factors such as ambient particulate matter and ozone with similar SEV, further research on biological differences between sexes in COPD and relevant policy-making of disease prevention are required.

Indexed as

OzonePulmonary Disease, Chronic ObstructiveFemaleGlobal Burden of DiseaseGlobal HealthHumansMaleParticulate MatterQuality-Adjusted Life YearsRisk FactorsOzoneParticulate MatterChronic obstructive pulmonary diseaseGlobal disease burdenPreventionRisk factors

Identifiers

PMID35410227
PMCPMC8996417
OpenAlexW4223448033

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.