Evidence map›Paper›PMID 36638656›Full record

ArticleEnvironment international2023

Estimating causal links of long-term exposure to particulate matters with all-cause mortality in South China.

Ying Wang, Jing Wei, Yuqin Zhang, Tong Guo, Shirui Chen, Wenjing Wu, Shimin Chen, Ziqiang Li, Yanji Qu, Jianpeng Xiao and 5 more

Open access · goldAbstract read
In one paragraph

Article in Environment international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
4.1field-weighted citation impact, top 6% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Potential causal associations of long-term exposure to PMEcotoxicology and environmental safety · 2025
    Article
  4. Review
  5. Article
  6. 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

15 authors at 7 institutions in 2 countries.

Ying WangDepartment of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China.
Jing WeiDepartment of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, USA.
Yuqin ZhangDepartment of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China.
Tong GuoDepartment of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China.
Shirui ChenDepartment of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China.
Wenjing WuDepartment of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China.
Shimin ChenDepartment of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China.
Ziqiang LiDepartment of Preventive Medicine, School of Basic Medicine and Public Health, Jinan University, Guangzhou, China.
Yanji QuGuangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangzhou, China.
Jianpeng XiaoGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Xinlei DengEpidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA.
Yu LiuDepartment of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China.
Zhicheng DuDepartment of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China. Electronic address: duzhch5@mail.sysu.edu.cn.
Wangjian ZhangDepartment of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China. Electronic address: zhangwj227@mail.sysu.edu.cn.
Yuantao HaoPeking University Center for Public Health and Epidemic Preparedness & Response, Peking, Beijing, China. Electronic address: haoyt@bjmu.edu.cn.
Sun Yat-sen University · CNEarth System Science Interdisciplinary Center · USGuangdong Provincial Center for Disease Control and Prevention · CNGuangdong Provincial People's Hospital · CNJinan University · CNNational Institute of Environmental Health Sciences · USPeking University · CN

Funding

Intramural NIH HHS Z99 ES999999
6 · The paper itself

Abstract

backgroundThe association between long-term particulate matter (PM) exposure and all-cause mortality has been well-documented. However, evidence is still limited from high-exposed cohorts, especially for PM

methodsA total of 580,757 participants in southern China were enrolled during 2009-2015 and followed up to 2020. The annual average concentration of PM

results37,578 deaths were totally identified during averagely 8.0 years of follow-up. Increased exposure to all 3 PM size fractions were significantly associated with increased risk of all-cause mortality, with hazard ratios (HRs) of 1.042 (95 % confidence interval (CI): 1.037-1.046), 1.031 (95 % CI: 1.028-1.033), and 1.029 (95 % CI: 1.027-1.031) per 1 μg/m

conclusionsWe provided comprehensive evidence for the potential causal links betweenlong-term PM exposureand all-cause mortality, and suggested stronger links for PM

Indexed as

Air PollutantsAir PollutionAgedChinaEnvironmental ExposureHumansParticulate MatterRisk FactorsAir PollutantsParticulate MatterAll-cause mortalityCausal inference modelLong-term effectParticulate matter

Identifiers

PMID36638656
PMCPMC13050049
OpenAlexW4313575268

What OpenQuestion holds

Textmetadata
LicenceTDM
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.