Objective: To assess the effect of periodontal treatment during pregnancy on maternal, fetal and neonatal outcomes.
Methods: This is a systematic review and meta-analysis of randomized controlled trials that evaluated the effect of treatment of periodontal diseases on pregnancy outcomes. Primary outcome was perinatal mortality. Secondary outcomes were maternal and neonatal morbidity. Outcomes were pooled using fix-effect or random effects models and presented as risk ratio (RR), or mean difference (MD), and 95% confidence interval (CI).
Results: Twenty randomized controlled trials involving 8171 participants were included in this study. Periodontal treatment during pregnancy was associated with significantly decreased risk of perinatal mortality [ = 5942; = 0.53 (0.30-0.93); = .03; heterogeneity () = 0%, Number needed to treat (): 162]. Periodontal treatment during pregnancy reduced risks of preterm birth [ = 7335; = 0.78 (0.62-0.98); = .03; = 72%, = 37]. Periodontal treatment during pregnancy significantly increased birthweight (gram) [ = 4708; = 200.79 (63.34-337.24); = .004; = 93%]. Periodontal treatment during pregnancy was not associated with preeclampsia, gestational diabetes, cesarean section, small for gestational age, or congenital malformations.
Conclusion: Periodontal treatment during pregnancy reduces the risks of perinatal mortality and preterm birth, and improves birth weight.
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http://dx.doi.org/10.1080/14767058.2019.1678142 | DOI Listing |
Clin Oral Investig
January 2025
Department of Periodontology, Semmelweis University, Budapest, Hungary.
Objectives: To investigate the performance of a deep learning (DL) model for segmenting cone-beam computed tomography (CBCT) scans taken before and after mandibular horizontal guided bone regeneration (GBR) to evaluate hard tissue changes.
Materials And Methods: The proposed SegResNet-based DL model was trained on 70 CBCT scans. It was tested on 10 pairs of pre- and post-operative CBCT scans of patients who underwent mandibular horizontal GBR.
Clin Exp Dent Res
February 2025
Department of Endodontics, Faculty of Dentistry, University of Oslo, Norway.
Objective: This study aimed to assess the proportions of complicated endodontic cases treated by undergraduate dental students in a University clinic now and in the past.
Material And Methods: Data were obtained from the electronic records and previous publications from the Faculty of Dentistry, University of Oslo, Norway. The operators were dental undergraduate students in their final 2 years of training.
Clin Exp Dent Res
February 2025
Division of Oral Surgery and Orthodontics, Department of Dental Medicine and Oral Health, Medical University of Graz, Graz, Austria.
Objectives: Considering the importance of patient-centered care, we aimed to evaluate the impact of systemic antibiotics on oral health-related quality of life during nonsurgical periodontal treatment. This controlled trial addresses a gap in understanding how systemic antibiotics influence patient-reported outcomes, focusing on Stage III periodontitis.
Materials And Methods: Sixty-one adults participated in a double-blind, randomized clinical trial, with participants divided into two groups: the test group, which received antibiotics, and the control group.
Cureus
December 2024
Department of Periodontics, Panineeya Institute of Dental Sciences and Research Centre, Hyderabad, IND.
The field of periodontal regeneration focuses on restoring the form and function of periodontal tissues compromised due to diseases affecting the supporting structures of teeth. Biomaterials have emerged as a vital component in periodontal regenerative therapy, offering a variety of properties that enhance cellular interactions, promote healing, and support tissue reconstruction. This review explores current advances in biomaterials for periodontal regeneration, including ceramics, polymers, and composite scaffolds, and their integration with biological agents like growth factors and stem cells.
View Article and Find Full Text PDFCureus
December 2024
Prosthodontics, SRM Kattankulathur Dental College and Hospital, SRM Institute of Science and Technology, Chengalpattu, IND.
Background and objective Alveolar ridge defects in partially edentulous patients present significant challenges in prosthodontic treatment planning. Seibert's classification system provides a structured approach to categorizing these defects based on the buccolingual and apico-coronal dimensions of the ridge. Accurate classification is crucial for determining appropriate treatment strategies for implant placement, fixed prosthesis, or tissue augmentation.
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