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Title

A double blind randomized controlled trial to evaluate the efficacy of green tea in gingivitis

 

Authors

Nidhi Thakur1,*, Vishal Kumar2, Ankita Agarwal3 & Soni Kumari2

 

Affiliation

1Department of Dentistry, Anugrah Narayan Magadh Medical College and Hospital, Gaya, Bihar, India; 2Department of Orthodontics, Hazaribagh Dental College and Hospital, Hazaribagh, Bihar, India; 3Department of Dentistry, Nalanda Medical College and Hospital, Patna, Bihar, India; *Corresponding author

 

Email

Nidhi Thakur: Email nidhithakur21@rediffmail.com; Vishal Kumar E-mail dtvishalkumar@gmail.com; Ankita Agarwal: Email agrawalankita008@gmail.com; Soni kumara: Email soni9753@gmail.com;

 

Article Type

Research Article

 

Date

Received July 23, 2021; Revised September 20, 2021; Accepted September 20, 2021, Published September 30, 2021

 

Abstract

Gingivitis is the most common form of oral disease especially among patients undergoing fixed orthodontic treatment. Green tea, which is extensively used in Asian countries, can help to improve the overall gingival health, which can be assessed by using the gingival indices. Evaluation of the effectiveness of green tea on the gingival health of patients undergoing Orthodontic treatment is of
interest. 40 otherwise healthy patients undergoing fixed orthodontic treatment were randomly divided in two groups namely (1) study group and (2) control group. Gingival indices were scored for all the patients. Study group was given mouth rinse with green tea extract and control group was given placebo with no green tea extract. Gingival indices were measured for all the patients after 21
days. Mann Whitney U test and Wilcoxon test was used for statistical analysis. The gingival indices scoring in which the values before and after the use of mouthwash were compared. The p value was found to be statistically significant (p<0.05) in study group. But in control group statistical significant could not be reached.

 

Keywords

alternative therapy, gingival index, green tea, and orthodontic treatment

 

Citation

Thakur et al. Bioinformation 17(9): 805-808 (2021)

 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.