Evidence map›Paper›PMID 31905907›Full record

ArticleInternational journal of environmental research and public health2019

Salivary Microbiome and Cigarette Smoking: A First of Its Kind Investigation in Jordan.

Walid Al-Zyoud, Rima Hajjo, Ahmed Abu-Siniyeh, Sarah Hajjaj

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

33 citing papers in PubMed, 55 citations in OpenAlex.

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  8. Salivary microbiomes: a potent evidence in forensic investigations.Forensic science, medicine, and pathology · 2024
    Review
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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

4 authors at 3 institutions in 2 countries.

Walid Al-ZyoudDepartment of Biomedical Engineering, School of Applied Medical Sciences, German Jordanian University, Amman 11180, Jordan.ORCID 0000-0002-3772-5617
Rima HajjoDepartment of Pharmaceutical Sciences, School of Pharmacy, Al-Zaytoonah University of Jordan, Amman 11733, Jordan.ORCID 0000-0002-7090-5425
Ahmed Abu-SiniyehClinical Laboratory Sciences Department, College of Applied Medical Science, Taif University, Taif 11099, Saudi Arabia.ORCID 0000-0002-1175-5017
Sarah HajjajDepartment of Biomedical Engineering, School of Applied Medical Sciences, German Jordanian University, Amman 11180, Jordan.
German Jordanian University · JOAl-Zaytoonah University of Jordan · JOTaif University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is accumulating evidence in the biomedical literature suggesting the role of smoking in increasing the risk of oral diseases including some oral cancers. Smoking alters microbial attributes of the oral cavity by decreasing the commensal microbial population and increasing the pathogenic microbes. This study aims to investigate the shift in the salivary microbiota between smokers and non-smokers in Jordan. Our methods relied on high-throughput next-generation sequencing (NGS) experiments for V3-V4 hypervariable regions of the 16S rRNA gene, followed by comprehensive bioinformatics analysis including advanced multidimensional data visualization methods and statistical analysis approaches. Six genera-

Indexed as

Cigarette SmokingMicrobiotaBacteriaHumansJordanMaleRNA, BacterialRNA, Ribosomal, 16SSalivaRNA, BacterialRNA, Ribosomal, 16S16S rRNAbioinformaticsJordanmicrobiomemicrobiotanext-generation sequencingoperational taxonomic unit (OTU)salivasmoking

Identifiers

PMID31905907
PMCPMC6982339
OpenAlexW2997910313

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.