Evidence map›Paper›PMID 38845947›Full record

ArticleHeliyon2024

A comprehensive study on the spatial and temporal variation of BTEX and asbestos in the northwest of Iran: Human risk assessment.

Elnaz Zarezadeh, Ahmad Jonidi Jafari, Mitra Gholami, Mahdi Farzadkia, Ehsan Ashouri, Abbas Shahsavani, Majid Kermani, Pegah Nakhjirgan

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Elnaz ZarezadehDepartment of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
Ahmad Jonidi JafariDepartment of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
Mitra GholamiDepartment of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
Mahdi FarzadkiaDepartment of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
Ehsan AshouriDepartment of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
Abbas ShahsavaniDepartment of Environmental Health Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Majid KermaniDepartment of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
Pegah NakhjirganDepartment of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Substances like asbestos and other air pollutants, such as BTEX (benzene, toluene, ethylbenzene, and xylene), are hazardous compounds due to their adverse effects on human health. This study aims to investigate the levels, seasonal variations, spatial distribution, potential sources, and associated health risks associated with BTEX compounds and asbestos fibers in the ambient air of Tabriz. Air samples were taken at 16 different locations during the 2020-2021 period. Glass containers with charcoal were used for sample collection, and the BTEX content was determined using the GC-FID method. Phase-contrast microscopy (PCM) analysis was conducted with a low-volume peripheral pump for asbestos fiber sampling. The results showed that the average concentration of ∑BTEX was 37.94 and 27.98 μg/m

Indexed as

Ambient airAsbestos fibersBTEXOFPRisk assessmentTabriz

Identifiers

PMID38845947
PMCPMC11153089

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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.