Association between sickle cell disease and periodontal disease: A systematic review.
Brenda Batista da SilvaAna Emília Farias PontesCleidiel Aparecido Araujo LemosRose Mara OrtegaPublished in: Journal of periodontal research (2023)
Previous studies have evaluated the association between sickle cell disease (SCD) and periodontal disease; however, their effect on the periodontal parameters remains unclear. This systematic review aimed to investigate whether individuals with sickle cell disease (SCD) increase the risks of periodontal disease more than those without. For the selection of eligible studies, an electronic search was conducted in the MEDLINE/PubMed, Web of Science, Cochrane Library, and Scopus databases. The meta-analysis was based on the inversion of variance using the mean difference (MD) of the continuous outcomes. The quality assessment of included studies was performed using the JBI Critical Appraisal Tools. In total, 13 studies and 2381 participants were included in the qualitative analysis, while 9 studies were considered for the meta-analysis. The meta-analysis indicated that patients with SCD present similar Plaque Index, Clinical Attachment Level, Bleeding on Probing, and Probing Depth when compared to healthy patients (p > .05). However, the Gingival Index was higher for patients with SCD (p = .0002; MD: 0.20). Compared to healthy patients, patients with SCD did not have an increase in periodontal parameters, except for the gingival index. However, further well-designed studies are recommended to reassess the association between SCD and periodontal diseases.
Keyphrases
- systematic review
- case control
- sickle cell disease
- meta analyses
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- prognostic factors
- public health
- atrial fibrillation
- magnetic resonance
- molecular dynamics
- computed tomography
- skeletal muscle
- metabolic syndrome
- single molecule
- type diabetes
- randomized controlled trial
- risk assessment
- molecular dynamics simulations
- artificial intelligence
- glycemic control