Evidence map›Paper›PMID 36328743›Full record

ArticleJournal of advanced research2022

Long-term exposure to ambient NO

Yunquan Zhang, Zunyan Li, Jing Wei, Yu Zhan, Linjiong Liu, Zhiming Yang, Yuanyuan Zhang, Riyang Liu, Zongwei Ma

Abstract read
In one paragraph

Article in Journal of advanced research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. 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.

Yunquan ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, Hubei, China; Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan, Hubei, China. Electronic address: YunquanZhang@wust.edu.cn.
Zunyan LiDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Jing WeiDepartment of Chemical and Biochemical Engineering, Iowa Technology Institute, The University of Iowa, Iowa City, IA 52242, USA.
Yu ZhanDepartment of Environmental Science and Engineering, Sichuan University, Chengdu, Sichuan, China.
Linjiong LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Zhiming YangSchool of Economics and Management, University of Science and Technology Beijing, Beijing, China.
Yuanyuan ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Riyang LiuState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, Jiangsu, China.
Zongwei MaState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionA number of population-based studies have investigated long-term effects of nitrogen dioxide (NO

objectivesThis study aimed to quantify longitudinal association of ambient NO

methodsA national cohort of 30,843 adults were drawn from 25 provincial regions across mainland China, and followed up from 2010 through 2018. Participants' exposures to ambient air pollutants were assigned according to their residential counties at baseline, through deriving monthly estimates from high-quality gridded datasets developed by machine learning methods. Cox proportional hazards models with time-varying exposures were utilized to assess the association of all-cause mortality with long-term exposure to ambient NO

resultsWe observed a total of 1662 deaths during 224020 person-years of follow-up (median 8.1 year). An approximately linear NO

conclusionThis cohort study provided national evidence for elevated risk of all-cause mortality associated with long-term exposure to ambient NO

Indexed as

Air PollutionNitrogen DioxideAdultChinaCohort StudiesEnvironmental ExposureHumansNitrogen DioxideAdult mortalityAir pollutionAttributable deathsCohort studyNitrogen dioxide

Identifiers

PMID36328743
PMCPMC9637729

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.