Evidence map›Paper›PMID 35337823›Full record

ArticleChemosphere2022

A unified empirical modeling approach for particulate matter and NO

Jia Xu, Zhenchun Yang, Bin Han, Wen Yang, Yusen Duan, Qingyan Fu, Zhipeng Bai

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Chemosphere, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Jia XuState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
Zhenchun YangDuke Global Health Institute, Duke University, Durham, NC, 27708, United States.
Bin HanState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
Wen YangState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China. Electronic address: yangwen@craes.org.cn.
Yusen DuanShanghai Environmental Monitoring Center, Shanghai, China. Electronic address: duanys@sheemc.cn.
Qingyan FuShanghai Environmental Monitoring Center, Shanghai, China.
Zhipeng BaiState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.

Funding

Impact of preconception and onward exposure to air pollution on growth trajectories of infants and children (R01)R01ES029945 · NIEHS · DUKE UNIVERSITY · PI GILLILAND, FRANK D., ZHANG, JUNFENG · 2019 to 2022
$2.0M
NIEHS NIH HHS R01 ES029945
6 · The paper itself

Abstract

Modeling air pollutants on a fine spatiotemporal scale is necessary for health studies that focus on critical short-term exposure windows. A unified empirical modeling approach is useful for health studies; however, it is unclear whether this approach can be used in a coastal city for air pollutants driven by local emissions and regional meteorological factors. An advanced empirical modeling approach was used to develop exposure models from October 2012 to December 2019, for particulate matter with aerodynamic diameters less than or equal to 2.5 and 10 μm (PM

Indexed as

Air PollutantsAir PollutionChinaNitrogen DioxideParticulate MatterAir PollutantsNitrogen DioxideParticulate MatterGAAPNO(2)PM(2.5)ShanghaiSpatiotemporal model

Identifiers

PMID35337823
PMCPMC12665482

What OpenQuestion holds

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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.