Evidence map›Paper›PMID 34150304›Full record

ReviewJournal of environmental health science & engineering2021

Airborne particulate matter in Tehran's ambient air.

Javad Torkashvand, Ahamd Jonidi Jafari, Philip K Hopke, Abbas Shahsavani, Mostafa Hadei, Majid Kermani

Open access · greenAbstract readReview
In one paragraph

Review in Journal of environmental health science & engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 20% of its field
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

8 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The effect of PMEnvironmental science and pollution research international · 2022
    Article
  6. Article
  7. Article
  8. 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

6 authors at 4 institutions in 2 countries.

Javad TorkashvandResearch Center for Environmental Health Technology, Iran University of Medical Sciences, Tehran, Iran.
Ahamd Jonidi JafariDepartment of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, IR Iran.
Philip K HopkeCenter for Air Resources Engineering and Science, Clarkson University, Potsdam, NY USA.
Abbas ShahsavaniEnvironmental and Occupational Hazards Control Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mostafa HadeiDepartment of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Majid KermaniResearch Center for Environmental Health Technology, Iran University of Medical Sciences, Tehran, Iran.
Iran University of Medical Sciences · IRClarkson University · USShahid Beheshti University of Medical Sciences · IRTehran University of Medical Sciences · IR

Funding

VISUAL INDICES OF NEUROTOXICITYP30ES001247 · NIEHS · UNIVERSITY OF ROCHESTER · PI Martha Susiarjo · 1985 to 2026
$42.8M
NIEHS NIH HHS P30 ES001247
6 · The paper itself

Abstract

In recent decades, particulate matter (PM) concentrations in Tehran have exceeded the World Health Organization's (WHO) guideline on most days. In this study, a search protocol was defined by identifying the keywords, to carry out a systematic review of the concentrations and composition of PM in Tehran's ambient air. For this purpose, searches were done in Scopus, PubMed, and Web of Science in 2019. Among the founded articles (197 in Scopus, 61 in PubMed, and 153 in Web of Science). The results show that in Tehran, the annual average PM

Indexed as

Air pollutionParticulate matterPM10PM2.5Tehran

Identifiers

PMID34150304
PMCPMC8172739
OpenAlexW3118450653

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.