Evidence map›Paper›PMID 37305074›Full record

ArticleExperimental and computational multiphase flow2023

Quantifying strategies to minimize aerosol dispersion in dental clinics.

Shamudra Dey, Maryam Tunio, Louis C Boryc, Brian D Hodgson, Guilherme J M Garcia

Open access · bronzeAbstract read
In one paragraph

Article in Experimental and computational multiphase flow, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
8.4field-weighted citation impact, top 2% 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, 17 citations in OpenAlex.

  1. Article
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  4. Message from the Guest Editor of the SCONA 2022 Meeting Special Issue.Experimental and computational multiphase flow · 2023
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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

5 authors at 2 institutions in 1 country.

Shamudra DeyJoint Department of Biomedical Engineering, Marquette University, Medical College of Wisconsin, Milwaukee, 53226 USA.
Maryam TunioSchool of Dentistry, Marquette University, Milwaukee, 53233 USA.
Louis C BorycSchool of Dentistry, Marquette University, Milwaukee, 53233 USA.
Brian D HodgsonSchool of Dentistry, Marquette University, Milwaukee, 53233 USA.
Guilherme J M GarciaJoint Department of Biomedical Engineering, Marquette University, Medical College of Wisconsin, Milwaukee, 53226 USA.
Marquette University · USMedical College of Wisconsin · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many dental procedures are aerosol-generating and pose a risk for the spread of airborne diseases, including COVID-19. Several aerosol mitigation strategies are available to reduce aerosol dispersion in dental clinics, such as increasing room ventilation and using extra-oral suction devices and high-efficiency particulate air (HEPA) filtration units. However, many questions remain unanswered, including what the optimal device flow rate is and how long after a patient exits the room it is safe to start treatment of the next patient. This study used computational fluid dynamics (CFD) to quantify the effectiveness of room ventilation, an HEPA filtration unit, and two extra-oral suction devices to reduce aerosols in a dental clinic. Aerosol concentration was quantified as the particulate matter under 10 µm (PM

Indexed as

computational fluid dynamics (CFD) simulationCOVID-19dental aerosolsextra-oral suction devicefallow timehigh-efficiency particulate air (HEPA) filtration unit

Identifiers

PMID37305074
PMCPMC10042415
OpenAlexW4360992230

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.