Evidence map›Paper›PMID 38024144›Full record

ArticleFrontiers in oral health2023

Impact of waterpipe smoking on the salivary microbiome.

Nikitha Lalindri Mareena Senaratne, Chun Wie Chong, Lim Shu Yong, Ling Fong Yoke, Divya Gopinath

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oral health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
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

5 authors at 3 institutions in 2 countries.

Nikitha Lalindri Mareena SenaratneSchool of Medicine, International Medical University, Kuala Lumpur, Malaysia.
Chun Wie ChongSchool of Pharmacy, Monash University, Kuala Lumpur, Malaysia.
Lim Shu YongSchool of Pharmacy, Monash University, Kuala Lumpur, Malaysia.
Ling Fong YokeSchool of Pharmacy, Monash University, Kuala Lumpur, Malaysia.
Divya GopinathCollege of Dentistry, Ajman University, Ajman, United Arab Emirates.
Monash University Malaysia · MYAjman University · AEInternational Medical University · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: While oral mirobial dysbiosis due to tobacco smoking has been studied thoroughly, there is limited data on the effect of waterpipe smoking on the oral microbiome. This study aims to compare the salivary microbiome between waterpipe smokers and non-smokers. Materials and methods: Unstimulated saliva samples were collected from 60 participants, 30 smokers and 30 non-smokers in Kuala Lumpur and Klang Valley, Malaysia. DNA extraction was performed using the Qiagen DNA mini kit, and the 16S rRNA bacterial gene was amplified and sequenced using the Illumina MiSeq platform. Sequencing reads were processed using DADA2, and the alpha and beta diversity of the bacterial community was assessed. Significantly differentiated taxa were identified using LEfSe analysis, while differentially expressed pathways were identified using MaAsLin2. Results: A significant compositional change (beta diversity) was detected between the two groups (PERMANOVA Conclusion: The taxonomic and metabolic profile of the salivary microbiome in waterpipe smokers compared to healthy controls exhibited a paradigm shift, thus, implying an alteration in the homeostatic balance of the oral cavity posing unique challenges for oral health.

Indexed as

16S rRNA geneoral microbiotasalivary microbiometobaccowaterpipe smoking

Identifiers

PMID38024144
PMCPMC10665852
OpenAlexW4388616504

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.