Evidence map›Paper›PMID 34360104›Full record

ArticleInternational journal of environmental research and public health2021

Effect of Environmental Pollutants PM2.5, CO, NO

Sultan Ayoub Meo, Abdulelah Adnan Abukhalaf, Omar Mohammed Alessa, Abdulrahman Saad Alarifi, Waqas Sami, David C Klonoff

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Air pollution and respiratory infections: the past, present, and future.Toxicological sciences : an official journal of the Society of Toxicology · 2023
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Effect of environmental pollutants PM2.5, CO, OJournal of King Saud University. Science · 2022
    Article
  11. Review
  12. Observational
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

6 authors.

Sultan Ayoub MeoDepartment of Physiology, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia.ORCID 0000-0001-9820-1852
Abdulelah Adnan AbukhalafDepartment of Physiology, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia.ORCID 0000-0001-8194-0560
Omar Mohammed AlessaDepartment of Physiology, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia.
Abdulrahman Saad AlarifiDepartment of Physiology, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia.
Waqas SamiDepartment of Public Health, University of Health Sciences, Lahore 54600, Pakistan.ORCID 0000-0001-7948-1190
David C KlonoffMills-Peninsula Medical Center San Mateo, Diabetes Research Institute, San Mateo, CA 99401, USA.

Funding

Deanship of Scientific Research, King Saud University, Riyadh, Saudi Arabia (RGP-181) ". RGP-181Sultan Ayoub Meo (RGP-181)
6 · The paper itself

Abstract

In recent decades, environmental pollution has become a significant international public problem in developing and developed nations. Various regions of the USA are experiencing illnesses related to environmental pollution. This study aims to investigate the association of four environmental pollutants, including particulate matter (PM2.5), carbon monoxide (CO), Nitrogen dioxide (NO

Indexed as

Air PollutantsAir PollutionCOVID-19Environmental PollutantsOzoneHumansIncidenceNitrogen DioxidePandemicsParticulate MatterSARS-CoV-2Air PollutantsEnvironmental PollutantsNitrogen DioxideOzoneParticulate MatterCOVID-19environmental pollutionmortalityprevalenceUSA

Identifiers

PMID34360104
PMCPMC8345586

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.