Effect of hyaluronic acid application on gingival black triangles– A systematic review
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.3.64Keywords:
Gingival black triangles, Interdental papilla, Dentistry, Medical sciences.Dimensions Badge
Issue
Section
License
Copyright (c) 2023 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Interdental papilla loss, also known as “black triangles,” is a prevalent issue that both patients and dentists worry about. According to Singh and Vandana (2019a), the gingival black space is the loss of the papillary height. One of the most difficult periodontal issues to address is this one. According to V. P. Singh et al. (2013), tooth loss, incorrect restoration contouring, traumatizing oral hygiene practices, and dental spacing all play a role. Dentistry has paid a lot of attention to the use of hyaluronic acid (HA) injections for papilla regeneration in cases of interdental black triangles (BTs). The discussion here highlights the various strategies and results connected with employing HA injections for papilla regeneration.Abstract
How to Cite
Downloads
Similar Articles
- Azar Bagheri Masoudzade, Maryam Ebrahim Nezhad, Appraising social class dimensions on learning motivation of Iranian students: Family studies and their status in focus , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- K. Hima Bindu, How can India strengthen mental health services as part of its efforts to promote holistic wellbeing by 2047 , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- Arunachalaprabu G, Fathima Bibi K, A pattern-driven Huffman encoding and positional encoding for DNA compression , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
- Tarannum ., Anuja Pandey, Arti Rauthan, An evaluation of the impact of lean management practices on patients’ satisfaction at a small healthcare facility , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- S. Ranganathan, V. Umadevi, FDBSCAN-MBKSched: A Hybrid Edge-Cloud Clustering and Energy-Aware Federated Learning Framework with Adaptive Update Scheduling for Healthcare IoT , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- Sruthy M.S, R. Suganya, An efficient key establishment for pervasive healthcare monitoring , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Bhavya S, Prabha Lis Thomas, Effectiveness of Video Assisted Training Program on low back pain and functional disability among housekeeping employees in selected educational institutions in Bengaluru , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- C. Premila Rosy, Clustering of cancer text documents in the medical field using machine learning heuristics , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- *HEERA LAXMI JADON, POONAM PRAKASH, SANJEEV PRATAP SINGH, ANTIBACTERIAL ACTIVITY OF NATURAL COMPOUNDS EXTRACTED WITH DIFFERENT SOLVENTS FROM CALOTROPIS PROCERA , The Scientific Temper: Vol. 2 No. 1&2 (2011): The Scientific Temper
- Belgundkar Babita, Kharde Sangeeta, Dodamani Suneel, Socio-demographic and reproductive determinants of spontaneous abortion- A cross-sectional comparative research at a tertiary care hospital in North Karnataka, India , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
<< < 2 3 4 5 6 7 8 9 10 11 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Minas M. Ali, Farah H. Alenezi, Nora F. Alfayyadh, Sara Y. Alhassoun, Rahaf M. Alanzi, Waseem Radwan, Conservative esthetic dentistry in Riyadh – Saudi Arabia , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper

