Results 221 to 230 of about 6,911 (297)
The effect of non‐surgical periodontal treatment on progranulin levels
Abstract Background The aim of this study was to study the effect of non‐surgical periodontal therapy (NSPT) on gingival crevicular fluid (GCF) and serum progranulin (PGRN) levels in the early healing phases. Methods The study included periodontitis (test) (n = 24) and periodontal health (control) (n = 24) groups.
Aysegul Sari +2 more
wiley +1 more source
Abstract Background The pathogenesis and etiology of peri‐implantitis demand a deeper understanding to lead to successful treatment modalities. Animal models of peri‐implantitis pathogenesis offer unique insights but their translational impact requires consideration of implant biomaterials science.
Georgios Kotsakis +15 more
wiley +1 more source
Abstract Background Peri‐implantitis is a destructive disease affecting the tissues surrounding dental implants. Biomaterials may be applied during surgical treatment to reconstruct bony defects and support soft tissue healing. However, current evidence is unclear if these treatments increase the likelihood of peri‐implantitis resolution.
Sukirth M. Ganesan +13 more
wiley +1 more source
Toward Real‐World Learning. Insights From an Established Community‐Based Dental Education Program
Journal of Dental Education, EarlyView.
Avril Ware +2 more
wiley +1 more source
Abstract Background The study aims to analyze the effectiveness of nonsurgical re‐instrumentation of residual pockets as step 3 of periodontal therapy and the stability of treatment outcomes at 18 months. Methods The study sample consisted of 489 patients diagnosed and treated nonsurgically for periodontitis.
Anna Liss +3 more
wiley +1 more source
Evaluating the precision and accuracy of digital dental models with a low-cost structured light device. [PDF]
Stuani VT +5 more
europepmc +1 more source
Abstract Background Evidence for whether and how non‐surgical periodontal treatment (NSPT) improves systemic outcomes remains equivocal. Inconclusive findings may in part be due to design variations of randomized controlled trials (RCTs) in this field.
Timothy Treat +6 more
wiley +1 more source
Artificial Intelligence Revolution: The Need for a Regulatory and Governance Framework in Dentistry
Journal of Dental Education, EarlyView.
Ehsan Jozaghi
wiley +1 more source
Abstract Background Evidence on the 16S metabarcoding of supragingival, subgingival, and salivary microbiomes in periodontal health remains limited. We aimed to analyze the diversity and potential of machine‐learning models of supragingival, subgingival, and salivary microbiomes in periodontal health. Methods A total of 848 samples (supragingival = 210;
Alba Regueira‐Iglesias +6 more
wiley +1 more source
Structured Rubrics for Assessing Digital Dentistry Workflows in Dental Education
Journal of Dental Education, EarlyView.
Zaid Badr +3 more
wiley +1 more source

