Effect of photobiomodulation adjunct to periodontal therapy on individuals with type 2 diabetes mellitus regarding periodontal clinical parameters: a systematic review and meta-analysis.
Bárbara Lopes FreireLucas Guimarães AbreuFernando Oliveira CostaLuis Otávio Miranda CotaRafael Paschoal Esteves LimaPublished in: Lasers in medical science (2023)
The purpose of this study is to evaluate the scientific evidence on the impact of photobiomodulation adjunct to non-surgical periodontal treatment on individuals with type 2 diabetes mellitus (T2DM). The Preferred Reporting Items for Systematic Reviews and Meta-analyses statement was followed. A protocol was registered in the International Prospective Registry of Systematic Reviews (PROSPERO #CRD42022310756). The research was carried out in seven databases, with no restrictions regarding the year of publication. Our work included studies that compared periodontal clinical parameters among individuals undergoing non-surgical periodontal therapy associated with photobiomodulation and a control group of individuals undergoing non-surgical periodontal treatment. Study selection, data extraction, and risk of bias assessment (RoB 2.0) were performed by two review authors. Meta-analysis was performed. Mean difference (MD) and a 95% confidence interval (CI) were provided. Three hundred forty-one studies were identified, of which eight studies were included. The meta-analysis demonstrated that photobiomodulation adjunctive to periodontal therapy in individuals with diabetes resulted in a greater reduction in probing depth and greater attachment gain in comparison to periodontal treatment alone (p < 0.05). The included studies exhibited a low risk of bias. Photobiomodulation adjunct to periodontal therapy contributes to the improvement of periodontal clinical parameters in individuals with T2DM.
Keyphrases
- systematic review
- meta analyses
- case control
- randomized controlled trial
- metabolic syndrome
- cardiovascular disease
- wound healing
- stem cells
- emergency department
- machine learning
- bone marrow
- mesenchymal stem cells
- skeletal muscle
- insulin resistance
- molecular dynamics simulations
- molecular dynamics
- cell therapy
- adverse drug