Results 251 to 260 of about 7,141 (329)
Abstract Background The present study aimed to investigate the expression of stromal cell‐derived factor‐1 (SDF‐1) after tooth extraction in rats and its regulatory effect on the expression of osteopontin (OPN) and vascular endothelial growth factor (VEGF).
Jingjing Kong +5 more
wiley +1 more source
Transcriptome analysis of granulation tissue from periodontal osseous defects
Abstract Background Granulation tissue is routinely discarded in periodontal surgical procedures, but few studies have characterized it. The present study aimed to compare global gene expression in granulation tissue derived from different types of periodontal osseous defects.
Ye Han Sam +5 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
A incorporação das metodologias ativas nos planos de aula da periodontia
Germana Jayme Borges +6 more
openalex +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
Perfil dos atendimentos no serviço de Periodontia da Faculdade de Odontologia da UFRJ
Cláudia Callegaro de Menezes +3 more
openalex +2 more sources
Abstract Background To examine whether the associations between periodontitis and multiple systemic conditions increase with increasing severity of periodontitis using a multi‐center electronic health record (EHR) repository. Methods A cross‐sectional analysis was conducted using EHR data from 9 dental schools in the United States.
Muhammad H. A. Saleh, Hamoun Sabri
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

