Evidence map›Paper›PMID 32513708›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Global impact of atmospheric arsenic on health risk: 2005 to 2015.

Lei Zhang, Yang Gao, Shiliang Wu, Shaoqing Zhang, Kirk R Smith, Xiaohong Yao, Huiwang Gao

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Role of Macrophages in Air Pollution Exposure Related Asthma.International journal of molecular sciences · 2022
    Review
  18. As andEnvironmental science and pollution research international · 2022
    Review
  19. Review
  20. 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

7 authors.

Lei ZhangFrontiers Science Center for Deep Ocean Multispheres and Earth System/Key Laboratory of Marine Environmental Science and Ecology, Ministry of Education, Ocean University of China, 266100 Qingdao, China.ORCID 0000-0002-0392-0641
Yang GaoFrontiers Science Center for Deep Ocean Multispheres and Earth System/Key Laboratory of Marine Environmental Science and Ecology, Ministry of Education, Ocean University of China, 266100 Qingdao, China; yanggao@ouc.edu.cn slwu@mtu.edu krksmith@berkeley.edu.
Shiliang WuAtmospheric Sciences Program, Michigan Technological University, Houghton, MI 49931; yanggao@ouc.edu.cn slwu@mtu.edu krksmith@berkeley.edu.ORCID 0000-0002-1383-4990
Shaoqing ZhangKey Laboratory of Physical Oceanography, Ministry of Education/Institute for Advanced Ocean Study/Frontiers Science Center for Deep Ocean Multispheres and Earth System, Ocean University of China and Qingdao National Laboratory for Marine Science and Technology, 266100 Qingdao, China.
Kirk R SmithSchool of Public Health, University of California, Berkeley, CA 94720; yanggao@ouc.edu.cn slwu@mtu.edu krksmith@berkeley.edu.ORCID 0000-0002-0439-1120
Xiaohong YaoFrontiers Science Center for Deep Ocean Multispheres and Earth System/Key Laboratory of Marine Environmental Science and Ecology, Ministry of Education, Ocean University of China, 266100 Qingdao, China.
Huiwang GaoFrontiers Science Center for Deep Ocean Multispheres and Earth System/Key Laboratory of Marine Environmental Science and Ecology, Ministry of Education, Ocean University of China, 266100 Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arsenic is a toxic pollutant commonly found in the environment. Most of the previous studies on arsenic pollution have primarily focused on arsenic contamination in groundwater. In this study, we examine the impact on human health from atmospheric arsenic on the global scale. We first develop an improved global atmospheric arsenic emission inventory and connect it to a global model (Goddard Earth Observing System [GEOS]-Chem). Model evaluation using observational data from a variety of sources shows the model successfully reproduces the spatial distribution of atmospheric arsenic around the world. We found that for 2005, the highest airborne arsenic concentrations were found over Chile and eastern China, with mean values of 8.34 and 5.63 ng/m

Indexed as

Models, StatisticalAir PollutantsArsenicArsenic PoisoningAtmosphereEnvironmental ExposureEnvironmental MonitoringGlobal HealthGroundwaterHumansNeoplasmsSpatio-Temporal AnalysisAir PollutantsArsenicatmospheric arseniccancer riskGEOS-Chemnoncarcinogenic effect

Identifiers

PMID32513708
PMCPMC7322006

What OpenQuestion holds

Textmetadata
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.