Evidence map›Paper›PMID 34523990›Full record

ArticleMicrobiology spectrum2021

Cigarette Smoking and Opium Use in Relation to the Oral Microbiota in Iran.

Zeni Wu, Yongli Han, J Gregory Caporaso, Nicholas Bokulich, Ashraf Mohamadkhani, Alireza Moayyedkazemi, Xing Hua, Farin Kamangar, Yunhu Wan, Shalabh Suman and 10 more

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 21 citations in OpenAlex.

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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

20 authors at 6 institutions in 2 countries.

Zeni WuMetabolic Epidemiology Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institutegrid.48336.3a, Bethesda, Maryland, USA.ORCID 0000-0002-1874-2649
Yongli HanBiostatistics Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institutegrid.48336.3a, Bethesda, Maryland, USA.
J Gregory CaporasoCenter for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona Universitygrid.261120.6, Flagstaff, Arizona, USA.
Nicholas BokulichCenter for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona Universitygrid.261120.6, Flagstaff, Arizona, USA.
Ashraf MohamadkhaniDigestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciencesgrid.411705.6, Tehran, Iran.
Alireza MoayyedkazemiDepartment of Internal Medicine, Lorestan University of Medical Sciences, Khorramabad, Iran.
Xing HuaBiostatistics Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institutegrid.48336.3a, Bethesda, Maryland, USA.
Farin KamangarDepartment of Biology, School of Computer, Mathematical, and Natural Sciences, Morgan State Universitygrid.260238.d, Baltimore, Maryland, USA.
Yunhu WanBiostatistics Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institutegrid.48336.3a, Bethesda, Maryland, USA.
Shalabh SumanCancer Genomics Research Laboratory, Division of Cancer Epidemiology & Genetics, National Cancer Institutegrid.48336.3a, Bethesda, Maryland, USA.
Bin ZhuCancer Genomics Research Laboratory, Division of Cancer Epidemiology & Genetics, National Cancer Institutegrid.48336.3a, Bethesda, Maryland, USA.
Amy HutchinsonCancer Genomics Research Laboratory, Division of Cancer Epidemiology & Genetics, National Cancer Institutegrid.48336.3a, Bethesda, Maryland, USA.
Casey DagnallCancer Genomics Research Laboratory, Division of Cancer Epidemiology & Genetics, National Cancer Institutegrid.48336.3a, Bethesda, Maryland, USA.
Kristine JonesCancer Genomics Research Laboratory, Division of Cancer Epidemiology & Genetics, National Cancer Institutegrid.48336.3a, Bethesda, Maryland, USA.
Belynda HicksCancer Genomics Research Laboratory, Division of Cancer Epidemiology & Genetics, National Cancer Institutegrid.48336.3a, Bethesda, Maryland, USA.
Jianxin ShiBiostatistics Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institutegrid.48336.3a, Bethesda, Maryland, USA.
Reza MalekzadehDigestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciencesgrid.411705.6, Tehran, Iran.
Christian C AbnetMetabolic Epidemiology Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institutegrid.48336.3a, Bethesda, Maryland, USA.
Akram PourshamsDigestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciencesgrid.411705.6, Tehran, Iran.
Emily VogtmannMetabolic Epidemiology Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institutegrid.48336.3a, Bethesda, Maryland, USA.ORCID 0000-0003-1355-5593
National Cancer Institute · USLeidos (United States) · USTehran University of Medical Sciences · IRNorthern Arizona University · USLorestan University of Medical Sciences · IRMorgan State University · US

Funding

Training/Career Development and Education Core and PlansU54CA143925 · NCI · NORTHERN ARIZONA UNIVERSITY · PI Jason A Wilder · 2009 to 2026
$27.5M
Uranium as an Environmental Risk Factor for Cancer Among the NavajoU54CA143924 · NCI · UNIVERSITY OF ARIZONA · PI Jennifer Wright Bea · 2009 to 2026
$26.7M
Advanced Development of Informatics Technologies for Cancer Research and Management (U24 Clinical Trial Optional)U24CA248454 · NCI · NORTHERN ARIZONA UNIVERSITY · PI CAPORASO, JAMES GREGORY · 2020 to 2024
$3.7M
NCI NIH HHS U24 CA248454NCI NIH HHS U54 CA143924NCI NIH HHS U54 CA143925
6 · The paper itself

Abstract

Cigarettes and opium contain chemicals and particulate matter that may modify the oral microbiota. This study aimed to investigate the association between cigarette and opium use with the oral microbiota. A total of 558 participants were recruited from Iran between 2011 and 2015. Individuals were categorized as never cigarette nor opium users, ever cigarette-only smokers, ever opium-only users, and ever both cigarette and opium users. Participants provided saliva samples for 16S rRNA gene sequencing. Logistic regression, microbiome regression-based kernel association test (MiRKAT), and zero-inflated beta regression models were calculated. For every increase in 10 observed amplicon sequence variants (ASVs), the odds for being a cigarette-only smoker, opium-only user, and both user compared to never users decreased by 9% (odds ratio [OR] = 0.91; 95% confidence interval [95% CI] = 0.86 to 0.97), 13% (OR = 0.87; 95% CI = 0.75 to 1.01), and 12% (OR = 0.88; 95% CI = 0.80 to 0.96), respectively. The microbial communities differed by cigarette and opium use as indicated by MiRKAT models testing the three beta-diversity matrices (

Indexed as

AgedAged, 80 and overBacteriaBiodiversityCigarette SmokingFemaleHumansIranMaleMicrobiotaMiddle AgedMouthOpiumOpium DependencePeriodontal DiseasesOpiumcigaretteIranopiumoral microbiota

Identifiers

PMID34523990
PMCPMC8557864
OpenAlexW3200495522

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.