Prevalence of temporomandibular disorders (TMD) in obesity patients: A systematic review and meta‐analysis

Minervini, Giuseppe; Franco, Rocco; Marrapodi, Maria Maddalena; Almeida, Luis Eduardo; Ronsivalle, Vincenzo; Cicciù, Marco

doi:10.1111/joor.13573

Cited by 39 publications

(12 citation statements)

References 33 publications

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“…Coinciding with our findings, Jordani et al demonstrated that painful TMDs exhibited a notable correlation with total body fat percentage, but in the multivariable analysis, obesity did not maintain its significance [64]. Two recent systematic reviews and meta-analyses did not show a clear association between obesity and TMDs and concluded that obesity is not a risk factor for TMDs [65,66].…”

Section: Discussionsupporting

confidence: 81%

Statistical Methods and Machine Learning Algorithms for Investigating Metabolic Syndrome in Temporomandibular Disorders: A Nationwide Study

Chweidan,

Rudyuk,

Tzur

et al. 2024

Bioengineering

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The objective of this study was to analyze the associations between temporomandibular disorders (TMDs) and metabolic syndrome (MetS) components, consequences, and related conditions. This research analyzed data from the Dental, Oral, Medical Epidemiological (DOME) records-based study which integrated comprehensive socio-demographic, medical, and dental databases from a nationwide sample of dental attendees aged 18–50 years at military dental clinics for 1 year. Statistical and machine learning models were performed with TMDs as the dependent variable. The independent variables included age, sex, smoking, each of the MetS components, and consequences and related conditions, including hypertension, hyperlipidemia, diabetes, impaired glucose tolerance (IGT), obesity, cardiac disease, obstructive sleep apnea (OSA), nonalcoholic fatty liver disease (NAFLD), transient ischemic attack (TIA), stroke, deep venous thrombosis (DVT), and anemia. The study included 132,529 subjects, of which 1899 (1.43%) had been diagnosed with TMDs. The following parameters retained a statistically significant positive association with TMDs in the multivariable binary logistic regression analysis: female sex [OR = 2.65 (2.41–2.93)], anemia [OR = 1.69 (1.48–1.93)], and age [OR = 1.07 (1.06–1.08)]. Features importance generated by the XGBoost machine learning algorithm ranked the significance of the features with TMDs (the target variable) as follows: sex was ranked first followed by age (second), anemia (third), hypertension (fourth), and smoking (fifth). Metabolic morbidity and anemia should be included in the systemic evaluation of TMD patients.

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Section: Discussionsupporting

confidence: 81%

Statistical Methods and Machine Learning Algorithms for Investigating Metabolic Syndrome in Temporomandibular Disorders: A Nationwide Study

Chweidan,

Rudyuk,

Tzur

et al. 2024

Bioengineering

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“…Surgical interventions can result in substantial alterations in anatomy and functionality for patients, necessitating subsequent rehabilitation and ongoing pain management [ 78 , 79 ]. Employing precise surgical techniques can mitigate the severity of postoperative pain [ 80 , 81 ]. The careful handling of tissues, utilization of nerve- and vessel-sparing procedures, avoidance of tissue ischemia, and selection of non-muscle-splitting incisions collectively contribute to minimizing surgical pain and facilitating recovery [ 82 , 83 ].…”

Section: Introductionmentioning

confidence: 99%

Advancing Postoperative Pain Management in Oral Cancer Patients: A Systematic Review

Inchingolo,

Dipalma,

Inchingolo

et al. 2024

Pharmaceuticals

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The goal of this review is to shed light on the management of orofacial discomfort after a cancer diagnosis in the head and neck region. A search was conducted on PubMed, Scopus, and Web of Science to identify studies on postoperative pain control in oral cancer. The review included open-access research, investigations into pain management, randomized clinical trials, retrospective studies, case-control studies, prospective studies, English-written studies, and full-text publications. Exclusion criteria included animal studies; in vitro studies; off-topic studies; reviews, case reports, letters, or comments; and non-English language. Three reviewers independently accessed databases and assigned a quality rating to the chosen articles. The review explores postoperative pain management in oral cancer patients; highlighting persistent opioid use; the efficacy of adjuvant drugs, such as gabapentin; and a multimodal approach. It emphasizes the need for personalized pain management, recognizing individual pain perception and tailoring interventions. Integrating pharmacological and non-pharmacological strategies is crucial for comprehensive pain management. The review also serves as a guide for future research, emphasizing the need for standardized methodologies and diverse participant populations.

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“…Challenges arise due to the overlap of symptoms with other dental conditions and the variability in enamel defect presentations. The importance of a multidisciplinary approach, involving both gastroenterologists and dentists, becomes evident in navigating these diagnostic intricacies [ 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 ].…”

Section: Introductionmentioning

confidence: 99%

Celiac Disease-Related Enamel Defects: A Systematic Review

Inchingolo,

Dipalma,

Viapiano

et al. 2024

JCM

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Introduction: This systematic review aims to elucidate the intricate correlation between celiac disease (CD) and dental enamel defects (DED), exploring pathophysiological mechanisms, oral health implications, and a dentist’s role in early diagnosis. Materials and methods: Following PRISMA guidelines, a comprehensive search from 1 January 2013 to 1 January 2024 across PubMed, Cochrane Library, Scopus, and Web of Science identified 153 publications. After exclusions, 18 studies met the inclusion criteria for qualitative analysis. Inclusion criteria involved study types (RCTs, RCCTs, case series), human participants, English language, and full-text available. Results: The search yielded 153 publications, with 18 studies meeting the inclusion criteria for qualitative analysis. Notable findings include a high prevalence of DED in CD patients, ranging from 50 to 94.1%. Symmetrical and chronological defects, according to Aine’s classification, were predominant, and significant associations were observed between CD severity and enamel defect extent. Conclusions: The early recognition of oral lesions, particularly through Aine’s classification, may signal potential CD even in the absence of gastrointestinal symptoms. Correlations between CD and dental health conditions like molar incisor hypomineralization (MIH) emphasize the dentist’s crucial role in early diagnosis. Collaboration between dentists and gastroenterologists is essential for effective monitoring and management. This review consolidates current knowledge, laying the groundwork for future research and promoting interdisciplinary collaboration for improved CD-related oral health outcomes. Further large-scale prospective research is recommended to deepen our understanding of these issues.

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Prevalence of temporomandibular disorders (TMD) in obesity patients: A systematic review and meta‐analysis

Cited by 39 publications

References 33 publications

Statistical Methods and Machine Learning Algorithms for Investigating Metabolic Syndrome in Temporomandibular Disorders: A Nationwide Study

Statistical Methods and Machine Learning Algorithms for Investigating Metabolic Syndrome in Temporomandibular Disorders: A Nationwide Study

Advancing Postoperative Pain Management in Oral Cancer Patients: A Systematic Review

Celiac Disease-Related Enamel Defects: A Systematic Review

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