Evidence map›Paper›PMID 31196090›Full record

ArticleRespiratory research2019

Role of PM

Junling Zhao, Miao Li, Zhihua Wang, Jinkun Chen, Jianping Zhao, Yongjian Xu, Xiang Wei, Jianmao Wang, Jungang Xie

Open access · goldAbstract read
In one paragraph

Article in Respiratory research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 4 pooled it
8.4field-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

77 citing papers in PubMed, 4 syntheses or guidelines pooled it, 162 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Particulate Matter and Premature Mortality: A Bayesian Meta-Analysis.International journal of environmental research and public health · 2021
    Pooled it
  5. Review
  6. Health effects of air pollution on chronic respiratory diseases.The Korean journal of internal medicine · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Research Progress on Animal Models of Chronic Obstructive Pulmonary Disease.International journal of chronic obstructive pulmonary disease · 2026
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Chitosan Nanoparticle-EncapsulatedInternational journal of molecular sciences · 2025
    Article
  20. The different response of PMRespiratory research · 2025
    Article

17 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

9 authors at 1 institution in 1 country.

Junling ZhaoDivision of Cardiothoracic and Vascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Miao LiDepartment of Respiratory and Critical Care Medicine, National Clinical Research Center of Respiratory Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Zhihua WangDepartment of Respiratory and Critical Care Medicine, National Clinical Research Center of Respiratory Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Jinkun ChenAcadia Junior High School, Winnipeg, MB, Canada.
Jianping ZhaoDepartment of Respiratory and Critical Care Medicine, National Clinical Research Center of Respiratory Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Yongjian XuDepartment of Respiratory and Critical Care Medicine, National Clinical Research Center of Respiratory Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Xiang WeiDivision of Cardiothoracic and Vascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Jianmao WangDepartment of Respiratory and Critical Care Medicine, National Clinical Research Center of Respiratory Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Jungang XieDepartment of Respiratory and Critical Care Medicine, National Clinical Research Center of Respiratory Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. xiejjgg@hotmail.com.ORCID http://orcid.org/0000-0001-9037-3027
Tongji Hospital · CN

Funding

Changjiang Scholars and Innovative Research Team in University No. IRT_14R20Chinese medical association research project 2013BAI09B00National key basic research and development program 20l5CB553403National Key Research and Development Program in China 2016YFC0903600National Key Technologies R&D Program 2016YFC1303900 and 2016YFC1304700National Natural Science Foundation of China 81570033, 81570047, 81470227, 81370145, 81370156, 81670035
6 · The paper itself

Abstract

backgroundA multitude of epidemiological studies have shown that ambient fine particulate matter 2.5 (diameter < 2.5um; PM

methodsWe firstly conducted a cross-sectional study in Chinese han population to observe PM

resultsWe found that the effect of PM

conclusionsIn short, we found that prolonged chronic exposure to PM

Indexed as

Disease ProgressionAdultAir PollutantsAnimalsCells, CulturedChinaCohort StudiesCross-Sectional StudiesFemaleHumansMaleMiceMice, Inbred C57BLMiddle AgedParticulate MatterPulmonary Disease, Chronic ObstructiveAir PollutantsParticulate MatterAirway inflammationAmbient fine particulate matterChronic obstructive pulmonary diseaseEmphysematous lesionsLung function

Identifiers

PMID31196090
PMCPMC6567502
OpenAlexW2951032479

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.