Evidence map›Paper›PMID 35384778›Full record

ArticleJournal of dental research2022

Particle Size, Mass Concentration, and Microbiota in Dental Aerosols.

A Rafiee, R Carvalho, D Lunardon, C Flores-Mir, P Major, B Quemerais, K Altabtbaei

Abstract read
In one paragraph

Article in Journal of dental research, 2022. 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
–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

10 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Pathogens (Basel, Switzerland) · 2025
    Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
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

7 authors.

A RafieeDepartment of Medicine, University of Alberta, Edmonton, AB, Canada.
R CarvalhoDepartment of Dentistry, University of Alberta, Edmonton, AB, Canada.ORCID 0000-0001-9113-3607
D LunardonDepartment of Dentistry, University of Alberta, Edmonton, AB, Canada.
C Flores-MirDepartment of Dentistry, University of Alberta, Edmonton, AB, Canada.
P MajorDepartment of Dentistry, University of Alberta, Edmonton, AB, Canada.
B QuemeraisDepartment of Medicine, University of Alberta, Edmonton, AB, Canada.
K AltabtbaeiDepartment of Dentistry, University of Alberta, Edmonton, AB, Canada.ORCID 0000-0001-7890-5254

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many dental procedures are considered aerosol-generating procedures that may put the dental operator and patients at risk for cross-infection due to contamination from nasal secretions and saliva. This aerosol, depending on the size of the particles, may stay suspended in the air for hours. The primary objective of the study was to characterize the size and concentrations of particles emitted from 7 different dental procedures, as well as estimate the contribution of the nasal and salivary fluids of the patient to the microbiota in the emitted bioaerosol. This cross-sectional study was conducted in an open-concept dental clinic with multiple operators at the same time. Particle size characterization and mass and particle concentrations were done by using 2 direct reading instruments: Dust-Trak DRX (Model 8534) and optical particle sizer (Model 3330). Active bioaerosol sampling was done before and during procedures. Bayesian modeling (SourceTracker2) of long-reads of the 16S ribosomal DNA was used to estimate the contribution of the patients' nasal and salivary fluids to the bioaerosol. Aerosols in most dental procedures were sub-PM

Indexed as

COVID-19MicrobiotaAerosolsBayes TheoremCross-Sectional StudiesHumansParticle SizeAerosolsaerosolbioinformaticsCOVID-19dentistrynosesaliva

Identifiers

PMID35384778
PMCPMC9210116

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.