Evidence map›Paper›PMID 39420284›Full record

ArticleBMC public health2024

The levels of polycyclic aromatic hydrocarbons in traditional cigarettes and E-cigarettes in Saudi Arabia markets: a comparative risk assessment study.

Adel M Alshutairi, Ahmed H Alzahrani, Abdulaziz M Almontshry

Abstract readComparative Study
In one paragraph

Article in BMC public health, 2024. 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
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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

3 authors.

Adel M AlshutairiSaudi Food and Drug Authority, Jeddah, Saudi Arabia. amshutairi@sfda.gov.sa.
Ahmed H AlzahraniSaudi Food and Drug Authority, Jeddah, Saudi Arabia.
Abdulaziz M AlmontshrySaudi Food and Drug Authority, Jeddah, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTwo validated and effective extraction techniques have been developed to ascertain the presence of polycyclic aromatic hydrocarbons (PAHs) in traditional cigarettes and E-cigarettes. PAHs are a class of chemicals that occur naturally, and these contaminants may cause cancer and other harmful effects in human beings. Traditional cigarettes and E-cigarettes contain many PAHs.

methodIn terms of linearity, limit of detection, limit of quantification, accuracy (%), and precision (%), the two in-house lab setups for 7PAHs extraction from traditional cigarettes and E-cigarette were validated using high-performance liquid chromatography-fluorescence detection.

resultsThe concentration of Σ7PAHs for traditional cigarettes and E-cigarettes ranged from 6.23 ± 0.04 ng/cig to 75.61 ± 0.02 ng/cig, and non-detectable to 3.56 ± 2.71 ng/puff. The PAHs recovery in traditional cigarettes and E-cigarettes ranged from 92.74-110.45%, and 97.20-111.74%. The toxicity of equivalent (TEQs) of carcinogens revealed that traditional cigarettes brands have higher TEQs than E-cigarettes.

conclusionThis study highlights the detection of 7PAHs levels and its risk assessment in product brands for traditional cigarettes and E-cigarettes marketed in Saudi Arabia. The results suggested that the developed methods are a precise and versatile approach for measuring 7PAHs in traditional cigarettes and E-cigarettes.

Indexed as

Electronic Nicotine Delivery SystemsPolycyclic Aromatic HydrocarbonsTobacco ProductsChromatography, High Pressure LiquidHumansRisk AssessmentSaudi ArabiaPolycyclic Aromatic HydrocarbonsE-cigarettesExtractHigh performance liquid chromatographyPolycyclic aromatic hydrocarbonsSaudi ArabiaTraditional cigarettes

Identifiers

PMID39420284
PMCPMC11488266

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LicenceCC BY-NC-ND
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Registered trials

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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.