Frontiers in dental medicine最新文献

{"title":"CAD-CAM vs. conventional denture bases: a systematic review with network meta-analysis of <i>in vitro</i> studies comparing strength, hardness, toughness, and elastic properties.","authors":"Rohit Kunnath Menon, Hui Xin Yew, Benjamin Chen Tze Wei, Farah Mohammed Ramadan, Afraa Ibrahim Soliman, Sajesh Veettil","doi":"10.3389/fdmed.2025.1638794","DOIUrl":"10.3389/fdmed.2025.1638794","url":null,"abstract":"<p><strong>Background: </strong>Scientific evidence from <i>in vitro</i> studies comparing the mechanical properties of dentures fabricated with computer-aided design-computer-aided manufacturing (CAD-CAM) and conventional techniques is inconclusive. This systematic review with meta-analysis was conducted to analyze the current evidence comparing the mechanical properties of conventional and digitally fabricated denture bases from <i>in vitro</i> studies.</p><p><strong>Materials and methods: </strong>A systematic search was conducted in PubMed, Scopus, and Medline for <i>in vitro</i> studies from inception until 16 January 2025. The review had been registered with the International Prospective Register of Systematic Reviews PROSPERO: CRD42024531425). A network meta-analysis compared conventional and digitally fabricated denture bases' flexural strength, hardness, flexural modulus, elastic modulus, impact strength, fracture toughness, yield point, and toughness. Risk of bias was assessed by using RoBDEMAT (RoB 2.0).</p><p><strong>Results: </strong>4,994 articles were identified, 966 duplicates were removed, 3,971 were excluded by title and abstract screening, 57 were assessed by full-text reading, and 42 were included in the quantitative synthesis. As per the sensitivity analysis performed after excluding low-quality studies, the network meta-analysis results indicate that milled digital denture bases exhibit higher flexural strength [SMD = 2.13 (95% CI: 0.21, 4.05)] compared to 3D-printed digitally fabricated denture bases. Bias incorporated from higher values from one study diminishes the quality of evidence for impact strength and flexural modulus.</p><p><strong>Conclusion: </strong>Milled digital denture bases exhibit superior flexural strength to 3D-printed and conventionally fabricated denture bases under laboratory conditions. High-quality <i>in vitro</i> studies are recommended to provide conclusive evidence for other mechanical properties.</p><p><strong>Systematic review registration: </strong>PROSPERO CRD42024531425.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"6 ","pages":"1638794"},"PeriodicalIF":1.8,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12375453/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144981121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Orthodontic considerations for managing patients with functional movement disorders: a narrative review and clinical guide.","authors":"Thikriat Al-Jewair, Ajola Zylalaj, Arash Poursattar Bejehmir","doi":"10.3389/fdmed.2025.1628802","DOIUrl":"10.3389/fdmed.2025.1628802","url":null,"abstract":"<p><strong>Background: </strong>Functional Movement Disorder (FMD) is a neurological condition involving involuntary movements without structural brain or nerve damage. It can significantly affect the craniofacial region, disrupting facial and oral motor functions and complicating dental and orthodontic care. This narrative review outlines the clinical presentation of FMD, emphasizing its relevance in orthodontics and offering a clinical management guide.</p><p><strong>Findings: </strong>A systematic approach is proposed, detailing strategies from the initial screening visit through active treatment, retention, and post-retention stages. Key strategies include using fixed appliances for better control, scheduling shorter visits to reduce symptom aggravation, and incorporating distraction techniques. Collaborative care with neurologists, psychiatrists, psychologists, physical therapists, and dental professionals is vital, addressing both motor and psychological factors.</p><p><strong>Conclusion and relevance: </strong>Specialized training, improved diagnostic methods, and customized treatment plans are crucial for managing FMD in orthodontics. These efforts are necessary to optimize care and outcomes for affected patients.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"6 ","pages":"1628802"},"PeriodicalIF":1.8,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12367745/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144981138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Expression profiles of SGK-1 and α-ENaC in minor salivary glands of subjects with xerostomia.","authors":"Mahmood S Mozaffari, Rafik Abdelsayed","doi":"10.3389/fdmed.2025.1585554","DOIUrl":"10.3389/fdmed.2025.1585554","url":null,"abstract":"<p><strong>Introduction: </strong>Epithelial sodium channel (ENaC) is a major conduit for sodium transport across the cell membrane, and its activity is regulated by multiple factors/mechanisms, including the serum and glucocorticoid-regulated kinase-1 (SGK-1). Saliva production and secretion are complex processes, with ENaC regulation of the ionic composition of saliva being an essential event prior to the ultimate secretion of hypotonic saliva into the oral cavity. However, the status of salivary gland SGK-1, in the context of ENaC, remains to be determined. We tested the hypothesis that lower lip minor salivary gland expressions of SGK-1 and ENaC are affected in subjects reporting xerostomia.</p><p><strong>Methods: </strong>Accordingly, archived biopsy specimens of subjects with a diagnosis of mucocele (control; <i>n</i> = 7) and those of subjects complaining of dry mouth (experimental; <i>n</i> = 12) were subjected to histopathological and immunohistochemical assessments for SGK-1, its phosphorylated (active) form (pSGK-1), and the alpha subunit of ENaC (α-ENaC).</p><p><strong>Results: </strong>Control specimens displayed extravasated mucus surrounded by a capsule of inflamed granulation tissue, while experimental specimens showed patchy periductal, predominantly lymphocytic, infiltrates. Control specimens showed variable degrees of SGK-1 and pSGK-1 immunolabeling of ductal epithelial cells. In contrast, experimental specimens displayed patchy and strong SGK-1 but variable degrees of pSGK-1 immunolabeling of ductal epithelial cells. While control specimens showed variable ductal α-ENaC immunolabeling, those of the experimental group displayed primarily diffuse cytoplasmic, with some membrane, immunolabeling in ductal cells. Semi-quantitative analyses, using ImageJ Fiji, showed increased normalized staining for α-ENaC and SGK-1, but not pSGK-1, for experimental compared to control cases.</p><p><strong>Discussion: </strong>Collectively, the data suggest a difference between the active form of the kinase and α-ENaC in minor salivary glands in xerostomia and that higher SGK-1 and α-ENaC may serve as diagnostic markers for this condition.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"6 ","pages":"1585554"},"PeriodicalIF":1.8,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12361188/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144981115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI-driven dynamic orthodontic treatment management: personalized progress tracking and adjustments-a narrative review.","authors":"Xuanchi Guo, Yuhan Shao","doi":"10.3389/fdmed.2025.1612441","DOIUrl":"10.3389/fdmed.2025.1612441","url":null,"abstract":"<p><p>Artificial intelligence (AI) is reconfiguring the orthodontic treatment paradigm through dynamic data-driven strategies. In this paper, we systematically review the multidimensional applications of AI in personalized treatment tracking, real-time decision support, and risk prediction, and reveal its core mechanisms to enhance clinical efficacy and patient experience. This review will focus on the fusion of AI-driven multimodal data analysis (e.g., cone-beam CT, intraoral scanning, and 3D facial images) and deep learning algorithms (e.g., convolutional neural networks) to elucidate the technological breakthroughs in key aspects such as tooth movement trajectory prediction and early detection of root resorption. Clinical practice has shown that AI has formed a complete closed loop of clinical application by optimizing the process of treatment plan development, realizing dynamic adjustment mechanisms, and enhancing patient compliance based on mobile medical platforms. Current research still needs to address core issues such as data privacy protection framework, algorithm interpretability enhancement, and multi-center validation. With the integration of interdisciplinary technology and the deepening of the research and development of intelligent orthodontic systems, AI will promote orthodontic diagnosis and treatment in the direction of more accuracy and personalization and ultimately realize the dual innovation of clinical decision-making mode and patient management strategy.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"6 ","pages":"1612441"},"PeriodicalIF":1.8,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12354369/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144877046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating the accuracy of generative artificial intelligence models in dental age estimation based on the Demirjian's method.","authors":"Allan Abuabara, Thais Vilalba Paniagua Machado do Nascimento, Seandra Maria Trentini, Angela Mairane Costa Gonçalves, Maria Angélica Hueb de Menezes-Oliveira, Isabela Ribeiro Madalena, Svenja Beisel-Memmert, Christian Kirschneck, Livia Azeredo Alves Antunes, Cristiano Miranda de Araujo, Flares Baratto-Filho, Erika Calvano Küchler","doi":"10.3389/fdmed.2025.1634006","DOIUrl":"10.3389/fdmed.2025.1634006","url":null,"abstract":"<p><strong>Introduction: </strong>Dental age estimation plays a key role in forensic identification, clinical diagnosis, treatment planning, and prognosis in fields such as pediatric dentistry and orthodontics. Large language models (LLM) are increasingly being recognized for their potential applications in Dentistry. This study aimed to compare the performance of currently available generative artificial intelligence LLM technologies in estimating dental age using the Demirjian's scores.</p><p><strong>Methods: </strong>Panoramic radiographs were analyzed using Demirjian's method (1973), with each left permanent mandibular tooth classified from stage A to H. Untrained LLM, ChatGPT (GPT-4-turbo), Gemini 2.0 Flash, and DeepSeek-V3 were tasked with estimating dental age based on the patient's Demirjian score for each tooth. Due to the probabilistic nature of ChatGPT, Gemini, and DeepSeek, which can produce varying responses to the same question, three responses were collected per case per day (three different computers) from each model on three separate days. The age estimates obtained from LLM were compared to the individuals' chronological ages. Intra- and inter-examiner reliability was assessed using the Intraclass Correlation Coefficient (ICC). Model performance was evaluated using Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), Coefficient of Determination (<i>R</i> ²), and Bias.</p><p><strong>Results: </strong>Thirty panoramic radiographs (40% female, 60% male; mean age 10.4 ± 2.32 years) were included. Both intra- and inter-examiner ICC values exceeded 0.85. ChatGPT and DeepSeek exhibited comparable but suboptimal performance, with higher errors (MAE: 1.98-2.05 years; RMSE: 2.33-2.35 years), negative <i>R</i> ² values (-0.069 to -0.049), and substantial overestimation biases (1.90-1.91 years), indicating poor model fit and systematic flaws. Gemini demonstrated intermediate results, with a moderate MAE (1.57 years) and RMSE (1.81 years), a positive <i>R</i> ² (0.367), and a lower bias (1.32 years).</p><p><strong>Discussion: </strong>This study demonstrated that, although LLM like ChatGPT, Gemini, and DeepSeek can estimate dental age using Demirjian's scores, their performance remains inferior to the traditional method. Among them, DeepSeek-V3 showed the best results, but all models require task-specific training and validation before clinical application.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"6 ","pages":"1634006"},"PeriodicalIF":1.8,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12339434/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144838744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unveiling the association between angiogenic imbalance in the gingival crevicular fluid in maternal periodontitis and spontaneous preterm birth.","authors":"Daniela Albers, María José Bendek, Marcela Hernández, Diego Prieto, Carolina Rojas, María Luisa Mizgier, Patricia Hernández, Sebastián E Illanes, Alejandra Chaparro","doi":"10.3389/fdmed.2025.1625995","DOIUrl":"10.3389/fdmed.2025.1625995","url":null,"abstract":"<p><strong>Background: </strong>Emerging evidence suggests that abnormal angiogenesis and imbalanced angiogenic factors may contribute to the development of spontaneous preterm birth (sPTB). In addition, pregnancy-related angiogenic changes and increased vascular permeability in periodontal tissues could amplify periodontal inflammation under hormonal influence.</p><p><strong>Objectives: </strong>This study aimed to evaluate the association between gingival crevicular fluid (GCF) levels of placental growth factor (PlGF) and soluble fms-like tyrosine kinase-1 (sFlt-1) and sPTB risk and to assess their correlation with periodontal disease severity during early pregnancy.</p><p><strong>Materials and methods: </strong>A prospective cohort study was conducted involving 348 pregnant women, with obstetric, clinical, and periodontal parameter assessments performed at 11-14 weeks of gestation, including probing depth (PD), clinical attachment loss (CAL), bleeding on probing (BOP), periodontal inflamed surface area (PISA), and plaque index score (PI). GCF samples were collected, and PlGF and sFlt-1 levels were measured using Magpix-Luminex® multiplex technology.</p><p><strong>Results: </strong>sPTB occurred in 3.45% (<i>n</i> = 12) of the participants. The women who had a sPTB had a significantly higher GCF PlGF/sFlt-1 ratio (<i>p</i> = 0.017) and lower sFlt-1 levels (<i>p</i> = 0.003) compared to those who had term pregnancies. A multivariate regression model combining the PlGF/sFlt-1 ratio, PI score, and first-trimester arterial blood pressure showed a predictive area under the curve of 0.78 (odds ratio 3.36, <i>p</i> = 0.008) for sPTB risk. Periodontal parameters, including PD sites >3 mm and PISA, were significantly worse in those with sPTB pregnancies (<i>p</i> = 0.032 and <i>p</i> = 0.047, respectively). Both PlGF and sFlt-1 levels were elevated in pregnant women with moderate to severe periodontitis compared to those with gingivitis or a healthy status (<i>p</i> < 0.0001), with significant positive correlations with inflammatory periodontal clinical parameters (<i>p</i> < 0.05).</p><p><strong>Conclusion: </strong>An early pregnancy imbalance of angiogenic and antiangiogenic factors in the GCF is associated with increased sPTB risk and greater periodontal inflammation. These findings suggest that angiogenic factors in the GCF may serve as promising non-invasive biomarkers for identifying women at elevated risk for sPTB.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"6 ","pages":"1625995"},"PeriodicalIF":1.8,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12339542/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144838745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: Current insights on the genetics and mechanisms of MSX1-associated cleft palate.","authors":"A C Myo, R Raju, J O Piña, P Chattaraj, M Furukawa","doi":"10.3389/fdmed.2025.1662124","DOIUrl":"10.3389/fdmed.2025.1662124","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.3389/fdmed.2025.1610223.].</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"6 ","pages":"1662124"},"PeriodicalIF":1.8,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12332978/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144818396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Motors vs. operators in simulated root canal shaping.","authors":"Kevin Hofpeter, Matthias Zehnder, Shengjile Deari","doi":"10.3389/fdmed.2025.1617425","DOIUrl":"10.3389/fdmed.2025.1617425","url":null,"abstract":"<p><strong>Introduction: </strong>The impact of contemporary endodontic motors on shaping outcomes has not been weighed against that of the motor operators.</p><p><strong>Materials and methods: </strong>One motor (X-Smart Pro+) specifically developed for the reciprocating files that were used (Reciproc Blue R25) was compared to three cordless counterparts, two of which lacked a designated reciprocation mode. Standardized J-shaped canals in bovine incisor roots were instrumented by four different operators, who were residents with similar levels of education and clinical experience. One reciprocating file per simulated root canal was used. The root canal models were pre-warmed and kept in a vice at 37°C in a water bath. The operators were instructed to instrument two simulated canals per motor in a random sequence, applying three pecking motions and alternating with 3% NaOCl irrigation. Instrumentation time was measured. Pre- and postoperative images obtained using a digital microscope were superimposed to assess canal transportation. Parametric tests (two-way ANOVA) were applied to weigh the overall effects of the motor and operator on instrumentation time and canal transportation. The impact of the motor and operator on the number of unwound flutes was explored using likelihood ratio tests. The level of significance was set at 5% (<i>P</i> < 0.05).</p><p><strong>Results: </strong>Operators had a highly significant (<i>P</i> < 0.001) impact on instrumentation time and file unwinding, while motors did not (<i>P</i> > 0.05). File unwinding was negatively correlated with instrumentation time (<i>P</i> < 0.001). There was no effect of either the motor or the operator on canal transportation (<i>P</i> > 0.05).</p><p><strong>Conclusion: </strong>Technological advancements in endodontic motors do not necessarily compensate for operator variability.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"6 ","pages":"1617425"},"PeriodicalIF":1.8,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12331665/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144818397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advances in orthodontic treatment for periodontal disease: a bibliometric analysis, emerging insights and clinical implications.","authors":"Jiahui Zhao, Zezhou Feng, Yujiang Liu, Silu Sun, Zhiyuan Feng","doi":"10.3389/fdmed.2025.1600672","DOIUrl":"10.3389/fdmed.2025.1600672","url":null,"abstract":"<p><strong>Objectives: </strong>This study aims to perform a comprehensive bibliometric analysis of research on orthodontic treatment for patients with periodontal disease. By examining publication trends, citation patterns, and research hotspots, we seek to understand the evolution of this field, identify future trends, and promote an integrated approach to enhance treatment outcomes and patient care.</p><p><strong>Methods: </strong>A comprehensive literature search was performed using the Web of Science and PubMed databases with the keywords \"periodontal disease\" \"periodontology\" \"periodontitis\" and \"orthodontics\".The retrieved records were systematically analyzed and visualized utilizing CiteSpace 6.2 and VOSviewer software. Bibliometric analysis was conducted across multiple dimensions, including authorship, geographic distribution (countries and institutions), keyword trends, and citation patterns in relevant journals.</p><p><strong>Results: </strong>After screening titles, abstracts, and keywords, a total of 580 articles met the inclusion criteria for further analysis. The leading publishing countries were China and USA with significant contributions from Grigore T. Popa University of Medicine & Pharmacy. Ionuț Luchian emerged as the most prolific author, while Ainamo J. demonstrated considerable influence based on citation metrics. Authoritative journals, such as the American Journal of Orthodontics and Dentofacial Orthopedics, were identified as the most frequently cited publications in this field.</p><p><strong>Conclusions: </strong>Future research in orthodontic treatment for patients with periodontal disease is expected to focus on developing personalized treatment plans, utilizing innovative biomaterials, designing advanced biomarkers and predictive models, integrating regenerative medicine approaches, and comprehensively assessing patients' overall quality of life. These directions aim to enhance treatment efficacy, improve patient outcomes, and ensure a more holistic and individualized approach to care.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"6 ","pages":"1600672"},"PeriodicalIF":1.8,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12328451/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144801111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Misinformation or education? A comparative analysis of Instagram posts related to full mouth rehabilitation.","authors":"Amal Alfaraj, Faris A Alshahrani, Meshal Albalawi, Naif AlQahtani, Mohammed Alhajji, Ali Sulaiman Alharbi, Sultan Ainoosah, Khalifa S Al-Khalifa","doi":"10.3389/fdmed.2025.1585575","DOIUrl":"10.3389/fdmed.2025.1585575","url":null,"abstract":"<p><strong>Introduction: </strong>Social media platforms have become pivotal in health communication, with Instagram serving as a key channel for sharing medical and dental information. Full Mouth Rehabilitation (FMR), a complex treatment aimed at restoring oral function and aesthetics, remains underrecognized by the general public. This study investigates the nature and accuracy of Instagram content related to FMR.</p><p><strong>Methods: </strong>A cross-sectional content analysis was conducted on 144 Instagram posts using FMR-related hashtags. Posts were classified based on content type, poster role (e.g., dental professional, clinic, influencer), engagement metrics (likes, comments), and accuracy of information. Statistical tests were applied to assess variations across content categories.</p><p><strong>Results: </strong>Marketing-oriented content constituted the majority of posts (75.7%), while educational content accounted for only 9%. Most posts (86.8%) contained non-factual or misleading information. In contrast, all educational posts were factually accurate. Engagement levels did not significantly differ between factual and non-factual posts. Dental professionals were responsible for only 5.6% of the total content, reflecting a notable lack of expert presence.</p><p><strong>Discussion: </strong>Instagram holds significant potential for disseminating accurate dental health information. However, the dominance of promotional content and the low involvement of dental professionals contribute to a high prevalence of misinformation. To enhance the platform's reliability as a health communication tool, increased participation by dental experts and improved content oversight are essential. Future research should evaluate strategies for promoting evidence-based information on social media, particularly for advanced procedures like FMR.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"6 ","pages":"1585575"},"PeriodicalIF":1.8,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12328297/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144801112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}