Evidence map›Paper›PMID 33671765›Full record

ArticleJournal of clinical medicine2021

Quantification of Bacteria in Mouth-Rinsing Solution for the Diagnosis of Periodontal Disease.

Jeong-Hwa Kim, Jae-Woon Oh, Young Lee, Jeong-Ho Yun, Seong-Ho Choi, Dong-Woon Lee

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Aptamer Based SPREETA Sensor for the Detection ofJournal of microbiology and biotechnology · 2024
    Article
  3. 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

6 authors at 3 institutions in 1 country.

Jeong-Hwa KimDepartment of Periodontology, Dental Hospital, Veterans Health Service Medical Center, Seoul 05368, Korea.
Jae-Woon OhDepartment of Periodontology, Dental Hospital, Veterans Health Service Medical Center, Seoul 05368, Korea.
Young LeeVeterans Medical Research Institute, Veterans Health Service Medical Center, Seoul 05368, Korea.
Jeong-Ho YunDepartment of Periodontology, College of Dentistry and Institute of Oral Bioscience, Jeonbuk National University, Jeonju 54896, Korea.ORCID 0000-0003-3929-4467
Seong-Ho ChoiDepartment of Periodontology, College of Dentistry and Research Institute for Periodontal Regeneration, Yonsei University, Seoul 03722, Korea.ORCID 0000-0001-6704-6124
Dong-Woon LeeDepartment of Periodontology, Dental Hospital, Veterans Health Service Medical Center, Seoul 05368, Korea.ORCID 0000-0002-0796-9100
Veterans Health Service Medical Center · KRJeonbuk National University · KRYonsei University · KR

Funding

VHS Medical Center Research Grant, Republic of Korea VHSMC18015
6 · The paper itself

Abstract

This study aimed to evaluate the feasibility of diagnosing periodontitis via the identification of 18 bacterial species in mouth-rinse samples. Patients (n = 110) who underwent dental examinations in the Department of Periodontology at the Veterans Health Service Medical Center between 2018 and 2019 were included. They were divided into healthy and periodontitis groups. The overall number of bacteria, and those of 18 specific bacteria, were determined via real-time polymerase chain reaction in 92 mouth-rinse samples. Differences between groups were evaluated through logistic regression after adjusting for sex, age, and smoking history. There was a significant difference in the prevalence (healthy vs. periodontitis group) of

Indexed as

bacteriaperiodontitispolymerase chain reaction

Identifiers

PMID33671765
PMCPMC7926621
OpenAlexW3131948674

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.