Evidence map›Paper›PMID 35784142›Full record

ArticleJournal of dental sciences2022

Air quality in a hospital dental department.

Chien-Tien Hsu, Shih-Chang Hsu, Shau-Ku Huang, Chon-Lin Lee, Yi-Shing Shieh

Open access · goldAbstract read
In one paragraph

Article in Journal of dental sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Analysis of PMEnvironmental toxicology · 2025
    Article
  3. Article
  4. Article
  5. 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

5 authors at 4 institutions in 1 country.

Chien-Tien HsuDepartment of Dentistry, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Shih-Chang HsuEmergency Department, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.
Shau-Ku HuangNational Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli County, Taiwan.
Chon-Lin LeeDepartment of Marine Environment and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan.
Yi-Shing ShiehDepartment of Dentistry, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Tri-Service General Hospital · TWNational Health Research Institutes · TWNational Sun Yat-sen University · TWWan Fang Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/purpose: Documented studies demonstrated that particulate matter 2.5 (PM2.5) are relatively high in dental clinics. However, the PM2.5 composition is unclear. This study aimed to evaluate the dental department's air quality in a teaching hospital. Materials and methods: The SKC AirChek XR5000 pumps and canister samplers were used to collect PM2.5 and volatile organic compounds (VOCs). The PM2.5 composition analysis (polycyclic aromatic hydrocarbons (PAHs) and metals) was conducted, and in the dental clinic and waiting room, the air quality comparison was investigated. Moreover, the dental clinic's air quality was compared before and after air purifier use. Results: In the dental clinic and waiting room, the results revealed high PM2.5 concentration exceeding the standard of the United States Environmental Protection Agency (USEPA) (35 μg/m Conclusion: For dental practitioners, an appropriated air quality regulation needs to be considered, due to high air pollutant concentration. In addition, using air purifier can efficiently reduce air pollutants.

Indexed as

Dental clinicPM2.5Polycyclic aromatic hydrocarbonsVolatile organic compounds

Identifiers

PMID35784142
PMCPMC9236934
OpenAlexW4225839331

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.