Prevalence of Periodontal Disease in the General Population of India-A Systematic Review

Shewale, Akhilesh

doi:10.7860/jcdr/2016/17958.7962

Cited by 26 publications

(23 citation statements)

References 24 publications

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“…We report for the first time, in an Indian population or otherwise, a significant difference in the periodontal health of males and females: males were more likely to have MGIs of 3 while females were more likely to have MGIs of 2. High prevalence of both gingivitis and more severe periodontal disease in older subjects was found in this study in agreement with previous literature [23], [24].…”

Section: B Oral-systemic Health Cross Correlationssupporting

confidence: 93%

“…Separate studies of thousands of American adults found that recent tooth loss was significantly correlated with primary open-angle glaucoma and that periodontal disease was significantly correlated with macular degeneration in adults under the age of 60 [21], [22]. In various populations in India, periodontal disease has been found to be highly prevalent and significantly correlated with older age, coronary artery disease, tobacco use, smoking, and lower socioeconomic status [23], [24]. However, all the above studies relied on clinical examinations by human experts and none used intraoral images, TES, or machine learning for diagnosing periodontal diseases to detect novel oral-systemic cross correlations.…”

Section: Periodontal Health Epidemiologymentioning

confidence: 99%

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Automated Process Incorporating Machine Learning Segmentation and Correlation of Oral Diseases with Systemic Health

Yauney

Rana

Wong

et al. 2019

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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Imaging fluorescent disease biomarkers in tissues and skin is a non-invasive method to screen for health conditions. We report an automated process that combines intraoral fluorescent porphyrin biomarker imaging, clinical examinations and machine learning for correlation of systemic health conditions with periodontal disease. 1215 intraoral fluorescent images, from 284 consenting adults aged 18-90, were analyzed using a machine learning classifier that can segment periodontal inflammation. The classifier achieved an AUC of 0.677 with precision and recall of 0.271 and 0.429, respectively, indicating a learned association between disease signatures in collected images. Periodontal diseases were more prevalent among males (p=0.0012) and older subjects (p=0.0224) in the screened population. Physicians independently examined the collected images, assigning localized modified gingival indices (MGIs). MGIs and periodontal disease were then cross-correlated with responses to a medical history questionnaire, blood pressure and body mass index measurements, and optic nerve, tympanic membrane, neurological, and cardiac rhythm imaging examinations. Gingivitis and early periodontal disease were associated with subjects diagnosed with optic nerve abnormalities (p <0.0001) in their retinal scans. We also report significant co-occurrences of periodontal disease in subjects reporting swollen joints (p=0.0422) and a family history of eye disease (p=0.0337). These results indicate cross-correlation of poor periodontal health with systemic health outcomes and stress the importance of oral health screenings at the primary care level. Our screening process and analysis method, using images and machine learning, can be generalized for automated diagnoses and systemic health screenings for other diseases.

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Section: B Oral-systemic Health Cross Correlationssupporting

confidence: 93%

Section: Periodontal Health Epidemiologymentioning

confidence: 99%

Automated Process Incorporating Machine Learning Segmentation and Correlation of Oral Diseases with Systemic Health

Yauney

Rana

Wong

et al. 2019

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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“…The proportion of the population above the age of 15 years with periodontitis could be 80-90%. [1] Periodontal therapy goal is to reduce or eliminate the subgingival microorganisms and restore periodontal health.…”

Section: Introductionmentioning

confidence: 99%

Wheatgrass – A Wonder Herb against Periodontal Pathogens: An In Vitro Study

2019

IJDA

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Background: Wheatgrass (Triticum aestivum) is a commonly found herb in India. Given its medicinal capability, it has found application in the treatment of gingivitis and periodontal diseases. Aims and Objectives: The aims of the study were to find whether wheatgrass powder is efficacious against the growth of periodontal pathogens; Porphyromonas gingivalis (Pg), Prevotella intermedia, Tannerella forsythia, and Fusobacterium nucleatum and also to quantify the amount of wheatgrass powder needed for its bactericidal activity against periodontal pathogens using tube dilution test. Materials and Methods: Pure concentrated form of commercially available wheatgrass powder was obtained and its minimum inhibitory concentration against periodontal pathogens was estimated using serial dilutions of the agent by the tube dilution method. Results: Minimum inhibitory concentration of wheatgrass powder was found at 3.12 mg/ml for Pg, whereas it was significantly lower for other organisms. Conclusions: Wheatgrass shows a lot of promise in the field of alternative medicine, especially for applications in periodontitis and possibly other oral infections. Further studies are recommended for assessing its use both in clinical and field settings.

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“…If it is left untreated, the disease can cause loss of tooth supporting tissues, alveolar bones and periodontal ligaments and eventually, results in edentulism, posing a great negative impact on individuals' quality of life. Hence the global epidemiological data suggests periodontal disease to be one of a major burden on oral diseases [2].…”

Section: Introductionmentioning

confidence: 99%

Povidone-Iodine as Subgingival Irrigation in Chronic Periodontitis Treatment

Nguyen¹,

Phan²

2018

Proceedings of the 11th International Dentistry Scientific Meeting (IDSM 2017)

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Abstract. The objective of this study is to verify the effects of 0.1% povidone-iodine (PVP-I) as subgingival irrigation on chronic periodontitis patients after 4, 6 and 8-week treatment. A clinical trial was conducted on 18 patients from 30 to 65 years old (mean age: 51.1±11.2) with moderate or severe chronic periodontitis at Faculty of Odonto-Stomatology at University of Medicine and Pharmacy, Ho Chi Minh City, Vietnam 2017. Treatments of chronic periodontitis included oral hygiene instruction, scaling and root planing plus 0.1% PVP-I irrigation. Clinical parameters including plaque index (PI), gingival index (GI), bleeding on probing (BOP), pocket depth (PD), clinical attachment loss (CAL) and the bacteria level in subgingival plaque (BANA test) were evaluated at 4-time points: T0 (the initial visit), T4 (4 weeks after the initial visit), T6 (6 weeks after the initial visit) and T8 (8 weeks after the initial visit). The whole mouth (PI, GI, BOP, PD and CAL) parameters and BANA test score showed statistically significant reductions from T0 to T8 (p<0.001). The PD and CAL of moderately deep (PD ≥5mm and <7mm); and deep pockets (PD ≥ 7mm) were significantly decreased from T0 to T8 (p<0.001). The findings from the present study demonstrated that the topical application of 0.1% PVP-I, used as subgingival irrigation along with subgingival root debridement had beneficial influences on chronic periodontitis treatments.

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Prevalence of Periodontal Disease in the General Population of India-A Systematic Review

Cited by 26 publications

References 24 publications

Automated Process Incorporating Machine Learning Segmentation and Correlation of Oral Diseases with Systemic Health

Automated Process Incorporating Machine Learning Segmentation and Correlation of Oral Diseases with Systemic Health

Wheatgrass – A Wonder Herb against Periodontal Pathogens: An In Vitro Study

Povidone-Iodine as Subgingival Irrigation in Chronic Periodontitis Treatment

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