ClinicalTrials.Veeva

Menu

Clinical Study of Biostimulation With Low-Power Diode Laser After Dental Extractions (CSBE)

U

Universidad de Murcia

Status

Completed

Conditions

Laser Therapy, Low-Level

Treatments

Device: laser

Study type

Interventional

Funder types

Other

Identifiers

NCT06943391
ID: 2934/2020

Details and patient eligibility

About

the objective of the present work is to assess the efficacy of photobiomodulation (PBM) with respect to pain, inflammation, and healing after tooth extractions as compared with a sham treatment

Enrollment

124 patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion and exclusion criteria

Inclusion criteria: adult patients who needed tooth extractions for any reason and who signed an informed consent form

Exclusion Criteria:patients who according to the ASA preoperative evaluation, did not meet the medical con-ditions for a surgical intervention. Immunocompromised patients. Patients with decom-pensated systemic diseases; undergoing chemotherapy treatment or taking immunosup-pressants. Pregnant women. Patients with severe mental disorders. Patients who had re-ceived head and neck radiotherapy

Trial design

Primary purpose

Prevention

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Single Blind

124 participants in 2 patient groups

Group I (Experimental):
Experimental group
Description:
patients subjected to a tooth extraction and immediately given an intraoral PBM session with an EPIC X Biolase diode laser (BIOLASE, Inc. USA), . It was applied at three points in the area: buccal, pala-tal/lingual, and occlusal to stimulate the tissue
Treatment:
Device: laser
Group Sham
Sham Comparator group
Description:
patients undergoing tooth extraction and the application of inactive/simulated PBM im-mediately after using the same procedure
Treatment:
Device: laser

Trial contacts and locations

1

Loading...

Data sourced from clinicaltrials.gov

Clinical trials

Find clinical trialsTrials by location
© Copyright 2025 Veeva Systems