Evidence map›Paper›PMID 35317290›Full record

ArticleJournal of clinical and experimental dentistry2022

A short term comparative evaluation of the efficacy of diode laser with desensitizing toothpastes and mouthwashes in the treatment of dentinal hypersensitivity.

Anirudh B Acharya, Apoorva Chandrashekar, Srinath Thakur

Open access · diamondAbstract read
In one paragraph

Article in Journal of clinical and experimental dentistry, 2022. 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
1.4field-weighted citation impact, top 24% 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, 9 citations in OpenAlex.

  1. Article
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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

3 authors at 2 institutions in 2 countries.

Anirudh B AcharyaDepartment of Preventive and Restorative Dentistry, College of Dental Medicine, University of Sharjah, Sharjah, U.A.E.
Apoorva ChandrashekarDepartment of Periodontics, AJ Shetty Institute of Dental Sciences, Mangaluru-575004, Karnataka, India.
Srinath ThakurDepartment of Periodontics, AJ Shetty Institute of Dental Sciences, Mangaluru-575004, Karnataka, India.
K.S. Hegde Hospital · INUniversity of Sharjah · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Treatment of dentinal hypersensitivity (DH) has always been challenging with a wide variety of therapeutic options, in-office and home care. The study objective was to compare the clinical efficacy of diode laser [DL] with four commercially available desensitizing agents (two toothpastes and two mouthwashes) in the treatment of DH. Material and Methods: This study involved 75 participants (25-45 years) who were categorized as Group 1 (n=15) treated with DL, and Groups 2, 3,4 and 5 (n=15 in each) who were prescribed 3% potassium nitrate mouth rinse, a herbal mouth rinse, potassium nitrate tooth paste and a herbal tooth paste, respectively. DH was assessed by air blast stimulation using air blast syringe, and evaluation of DH was done based on the patient's subjective response using the Visual Analog Scale (VAS) at baseline, 1 week and 1 month. Results: DL and the desensitizing agents showed significant reduction in DH at 1 month when compared with baseline, except potassium nitrate mouth wash. However, DL showed more percentage reduction in DH when compared with potassium nitrate tooth paste, herbal mouth wash and paste. Conclusions: The study implies that even though all five groups showed improvement in terms of DH reduction, DL showed the best results among all the groups.

Identifiers

PMID35317290
PMCPMC8916602
OpenAlexW4214554586

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.