Evidence map›Paper›PMID 35218713›Full record

SynthesisEnvironmental research2022

The association between daily-diagnosed COVID-19 morbidity and short-term exposure to PM

Jianyin Xiong, Jing Li, Xiao Wu, Jack M Wolfson, Joy Lawrence, Rebecca A Stern, Petros Koutrakis, Jing Wei, Shaodan Huang

Abstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Environmental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Jianyin XiongSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing, China.
Jing LiInstitute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA. Electronic address: jing.li@bjmu.edu.cn.
Xiao WuDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, USA.
Jack M WolfsonDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Joy LawrenceDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Rebecca A SternHarvard John A. Paulson School of Engineering & Applied Sciences, Cambridge, MA, USA.
Petros KoutrakisDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Jing WeiDepartment of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA. Electronic address: weijing_rs@163.com.
Shaodan HuangDepartment of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA. Electronic address: shhuang@bjmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exposure to particulate matter (PM) could increase both susceptibility to SARS-CoV-2 infection and severity of COVID-19 disease. Prior studies investigating associations between PM and COVID-19 morbidity have only considered PM

Indexed as

Air PollutantsAir PollutionCOVID-19ChinaEnvironmental ExposureHumansMorbidityParticulate MatterSARS-CoV-2Air PollutantsParticulate MatterChinaCOVID-19PM(1)Time-serial analysis

Identifiers

PMID35218713
PMCPMC8865934

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.