“Non-modifiable” Risk Factors for Periodontitis and Diabetes

Minimal changes in daily flossing behavior among US adults from 2009 through 2020

BACKGROUND

Flossing is considered to be an integral component of oral hygiene. The authors evaluated trends in daily flossing and their associations with sociodemographic variables.

METHODS

The authors used data from the 2009-2020 National Health and Nutrition Examination Surveys, accounting for survey weights in all analyses. Descriptive statistics were computed for all study variables. Pooled univariable and multivariable logistic regression were performed to evaluate which sociodemographic factors were associated with daily flossing and to assess potential interactions with survey periods. Multivariable logistic regression was performed and stratified according to survey period.

RESULTS

This study included 26,624 adults. Although the prevalence of daily flossing increased from 29.4% in 2009 through 2010 to 34.8% in 2017 through 2020, this increase was not significant after multivariable adjustment. Results of the pooled survey logistic regression also showed that participants who were older, female, Hispanic, and had a higher income to poverty ratio had higher odds of daily flossing. The interaction between education and survey period was significantly associated with daily flossing (P = .012). Logistic regression for each survey period corroborated the pooled model results.

CONCLUSIONS

Approximately 1 in 3 adults in the United States reported flossing daily (32.7%). Although the prevalence of daily flossing increased from 2009 through 2020, this change was not significant after controlling for sociodemographic variables.

PRACTICAL IMPLICATIONS

The nonsignificant changes in flossing behavior from 2009 through 2020 suggest that messaging to encourage adults to floss daily has had little effect. Although the authors did not elucidate the benefits of flossing, dental providers should continue to consider encouraging patients to floss until new evidence suggests otherwise.

The impact of different states of type 2 diabetes when stratified by baseline HbA1c on the periodontal outcomes of non-surgical periodontal treatment: A systematic review and network meta-analysis

BACKGROUND

Type 2 diabetes mellitus (T2DM) has been considered by many studies to have a bidirectional relationship with periodontitis. This systematic review and network meta-analysis aimed to investigate the impact of different states of T2DM when stratified by baseline HbA1c on the clinical outcomes of non-surgical periodontal treatment (NSPT).

METHODS

This study followed the Preferred Reporting Items for Meta-Analyses (PRISMA) guidelines and involved an electronic literature search (from inception to the 2nd of January 2023). The study included at least two groups of patients: chronic periodontitis only (No-DM) or periodontitis and well-controlled/poorly controlled type 2 diabetes mellitus (WC/PC-T2DM). Clinical outcomes included probing depth (PD) reduction, bleeding on probing reduction, and clinical attachment level (CAL) gain. Direct and indirect comparisons between groups were assessed by network meta-analysis, thus allowing us to establish a treatment ranking.

RESULTS

Ten prospective cohort studies (11 data sets) were included for qualitative analysis and network meta-analysis. The data included in this study had high consistency; in addition, a funnel plot and Egger's test showed that the articles had low publication bias. Network meta-analysis showed that the effect of NSPT in the No-DM group was significantly better than the WC-T2DM group [weighted mean difference (WMD) = 0.09, 95% confidence interval (CI) (0.01, 0.18)] and the PC-T2DM group [WMD = 0.09, 95% CI (0.01, 0.18)] in terms of CAL gain and better than the PC-T2DM group [WMD = 0.15, 95% CI (0.02, 0.28)] in terms of PD reduction. According to the surface under the cumulative ranking value, the No-DM group had the highest probability of achieving the best outcome following NSPT.

CONCLUSIONS

Collectively, our analyses show that T2DM exerts significant effects on the outcomes of NSPT.

Current scientific evidence for why periodontitis should be included in diabetes management

This Perspective provides a brief summary of the scientific evidence for the two-way links between periodontal diseases and hyperglycemia (diabetes mellitus [DM] and pre-DM). It delivers in a nutshell current scientific evidence for manifestations of hyperglycemia on periodontal health status and effects of periodontal diseases on blood glucose levels and in turn incidence, progression, and complications of diabetes. Of outmost importance is presentation of scientific evidence for the potential of routine periodontal treatment to lower blood glucose levels, providing a novel, economical tool in DM management. Non-surgical periodontal treatment ("deep cleaning") can be provided by dental hygienists or dentists in general dental offices, although severe cases should be referred to specialists. Such therapy can decrease the costs of DM care and other health care costs for people with DM. The great importance of a healthy oral cavity free of infection and subsequent inflammation - especially periodontitis that if untreated will cause loosening and eventually loss of affected teeth - has largely gone unnoticed by the medical community as the health care curricula are largely void of content regarding the bi-directional links between oral health and systemic health, despite elevation of blood glucose levels being an integral part of the general systemic inflammation response. The importance of keeping disease-free, natural teeth for proper biting and chewing, smiling, self-esteem, and pain avoidance cannot be overestimated. Medical and dental professionals are strongly encouraged to collaborate in patient-centered care for their mutual patients with - or at risk for - hyperglycemia.

A Review on Case Burden of Diabetes Mellitus Before and After the Implementation of National Programme for Prevention and Control of Cancer, Diabetes, Cardiovascular Diseases and Stroke

This article focuses on the role of the National Health Program called National Program for Prevention and Control of Cancer, Diabetes, Cardiovascular Disease, and Stroke (NPCDCS) in the screening and reduction of the case burden of Diabetes mellitus. The article first discusses the case burden of Diabetes before the implementation of NPCDCS and then the burden of the disease after the implementation of the program by mainly reviewing the cross-sectional studies done in four districts, Jaipur district, Gandhinagar district, Belagavi taluka district, and Udupi district. The studies were conducted at least four years after the program's implementation. The reason for preparing this review article is to assess the efficacy of NPCDCS in controlling the most dreaded chronic disease, which has its highest prevalence in India. Over the past century, there has been a consistent rise in the prevalence of Diabetes.  In all departments of medicine, Diabetes has been a common predisposing factor in several adversities such as blindness, limb amputation, cerebrovascular stroke, diabetic nephropathy, and other microvascular and macrovascular diseases. The studies include field-level cross-checking and on-ground cross-sectional studies, which were done in 2019 in Jaipur, standard cross-sectional studies from the primary data collected from the primary health care center in the Belagavi taluka district, a national-level cross-sectional study conducted by the National NCD Monitoring survey, and cross-sectional studies in Udupi district in Karnataka, which was the first district to be included by NPCDCS in its second phase.

Serum levels of vitamin D and periodontal inflammation in community-dwelling older Japanese adults: The Otassha Study

AIM

To evaluate the association between vitamin D status and periodontal inflammation as determined by the periodontal inflamed surface area (PISA) in community-dwelling older adults.

MATERIALS AND METHODS

This cross-sectional study included 467 Japanese adults (mean age = 73.1 years) who underwent full-mouth periodontal examinations and measurements of serum levels of 25-hydroxyvitamin D (25(OH)D). We used linear regression and restricted cubic spline models to analyse the association between exposure (serum 25(OH)D) and outcome (PISA).

RESULTS

The linear regression model showed that, after adjusting for potential confounders, participants in the lowest quartile of serum 25(OH)D had 41.0 mm2 more PISA (95% confidence interval [CI]: 4.6-77.5) than the reference group (the highest quartile of serum 25(OH)D). The spline model showed that the association between serum 25(OH)D and PISA was non-linear and restricted to the low 25(OH)D range. PISA initially sharply decreased as serum 25(OH)D increased, and then the decreasing trend slowed and plateaued. The inflection point with the minimum PISA value was a serum 25(OH)D level of 27.1 ng/mL, above which there was no decreasing trend in PISA with increasing serum 25(OH)D levels.

CONCLUSIONS

Low vitamin D status had an L-shaped association with periodontal inflammation in this cohort of Japanese adults.

Diabetes Mellitus and Its Risk Factors among Migrant Workers in Kuwait

The prevalence of diabetes mellitus (DM) is growing enormously worldwide, and actions need to be taken in order to minimize the burden of diabetes mellitus and reduce its complications. Since two-thirds of Kuwait's population are expatriates, the prevalence of and factors associated with diabetes among migrant workers was assessed as it has a significant impact on migrant workers' quality of life, health, and productivity. The data used in this study was for all migrant workers who attended Shuaiba Industrial Medical Center (SIMC) for physical examination in the year 2018. Univariate and multivariate regression were used to assess the relationship between diabetes mellitus and the other independent factors where odds ratios with confidence intervals were delineated. Information for a total of 3477 participants was recorded in the dataset for 2018. Of the total participants, 10.1% had diabetes mellitus. About 49% of the participants were overweight. The largest age group of participants was between 31 and 40 years of age. A small percentage of the participants were diagnosed with hypertension at 11.8%. Additionally, 76.1% of the participants reported themselves as non-smokers. Diabetes was positively associated with age, hypertension, and nationalities. However, no association was found between BMI and smoking tobacco. This is the first study in SIMC to assess DM and its associated risk factor among migrants, since migrant workers are neglected subpopulations that need our focus and attention to achieve justice and fairness. The findings revealed that the prevalence of DM among our study population was considerably lower. However, a healthy lifestyle, including a healthy diet and being physically active, need to be introduced to prevent any further damage.

Association between asthma and periodontitis in the US adult population: A population-based observational epidemiological study

AIM

To examine the association between asthma and periodontitis in a nationally representative sample of adults in the United States.

MATERIALS AND METHODS

Data obtained from 10,710 adult men and women who participated in National Health and Nutritional Examination Survey from 2009 to 2014 were analysed. Asthma was measured based on self-reported physician diagnosis. Periodontitis was the outcome of interest. It was classified into mild, moderate, and severe periodontitis according to the updated CDC/AAP case definitions. Multivariable models were developed to examine the association of asthma with periodontitis while controlling for age, race/ethnicity, gender, education, income, body mass index, diabetes, and smoking. Odds ratio (OR) and respective 95% confidence interval (CI) were calculated. Replication was performed by differently classifying the outcome using another system called periodontal profile class (PPC).

RESULTS

Current asthmatics, in reference to never asthmatics, had lower odds of severe periodontitis [(adjusted OR = 0.51, 95% CI = 0.30-0.87) and (adjusted OR = 0.58, 95% CI = 0.35-0.97) as classified using CDC/AAP case definitions and PPC system, respectively]. However, there was no statistically significant association between asthma and any other forms of periodontitis (p value >.05).

CONCLUSIONS

In the United States, current-asthmatic adults were less likely to have severe periodontitis as compared with never-asthmatic adults. Further research is required to fully understand this association.

Diabetes and Oral Health: Summary of Current Scientific Evidence for Why Transdisciplinary Collaboration Is Needed

This Perspective provides a brief summary of the scientific evidence for the often two-way links between hyperglycemia, including manifest diabetes mellitus (DM), and oral health. It delivers in a nutshell examples of current scientific evidence for the following oral manifestations of hyperglycemia, along with any available evidence for effect in the opposite direction: periodontal diseases, caries/periapical periodontitis, tooth loss, peri-implantitis, dry mouth (xerostomia/hyposalivation), dysbiosis in the oral microbiome, candidiasis, taste disturbances, burning mouth syndrome, cancer, traumatic ulcers, infections of oral wounds, delayed wound healing, melanin pigmentation, fissured tongue, benign migratory glossitis (geographic tongue), temporomandibular disorders, and osteonecrosis of the jaw. Evidence for effects on quality of life will also be reported. This condensed overview delivers the rationale and sets the stage for the urgent need for delivery of oral and general health care in patient-centered transdisciplinary collaboration for early detection and management of both hyperglycemia and oral diseases to improve quality of life.

Comparisons of Polyexposure, Polygenic, and Clinical Risk Scores in Risk Prediction of Type 2 Diabetes

OBJECTIVE

To establish a polyexposure score (PXS) for type 2 diabetes (T2D) incorporating 12 nongenetic exposures and examine whether a PXS and/or a polygenic risk score (PGS) improves diabetes prediction beyond traditional clinical risk factors.

RESEARCH DESIGN AND METHODS

We identified 356,621 unrelated individuals from the UK Biobank of White British ancestry with no prior diagnosis of T2D and normal HbA_1c levels. Using self-reported and hospital admission information, we deployed a machine learning procedure to select the most predictive and robust factors out of 111 nongenetically ascertained exposure and lifestyle variables for the PXS in prospective T2D. We computed the clinical risk score (CRS) and PGS by taking a weighted sum of eight established clinical risk factors and >6 million single nucleotide polymorphisms, respectively.

RESULTS

In the study population, 7,513 had incident T2D. The C-statistics for the PGS, PXS, and CRS models were 0.709, 0.762, and 0.839, respectively. Individuals in the top 10% of PGS, PXS, and CRS had 2.00-, 5.90-, and 9.97-fold greater risk, respectively, compared to the remaining population. Addition of PGS and PXS to CRS improved T2D classification accuracy, with a continuous net reclassification index of 15.2% and 30.1% for cases, respectively, and 7.3% and 16.9% for controls, respectively.

CONCLUSIONS

For T2D, the PXS provides modest incremental predictive value over established clinical risk factors. However, the concept of PXS merits further consideration in T2D risk stratification and is likely to be useful in other chronic disease risk prediction models.

Clustering by periodontitis-associated factors: A novel application to NHANES data

BACKGROUND

Unsupervised clustering is a method used to identify heterogeneity among groups and homogeneity within a group of patients. Without a prespecified outcome entry, the resulting model deciphers patterns that may not be disclosed using traditional methods. This is the first time such clustering analysis is applied in identifying unique subgroups at high risk for periodontitis in National Health and Nutrition Examination Surveys (NHANES 2009 to 2014 data sets using >500 variables.

METHODS

Questionnaire, examination, and laboratory data (33 tables) for >1,000 variables were merged from 14,072 respondents who underwent clinical periodontal examination. Participants with ≥6 teeth and available data for all selected categories were included (N = 1,222). Data wrangling produced 519 variables. k-means/modes clustering (k = 2:14) was deployed. The optimal k-value was determined through the elbow method, formula = ∑ (x_i ² ) - ((∑ x_i )2 /n). The 5-cluster model showing the highest variability (63.08%) was selected. The 2012 Centers for Disease Control and Prevention/American Academy of Periodontology (AAP) and 2018 European Federation of Periodontology/AAP periodontitis case definitions were applied.

RESULTS

Cluster 1 (n = 249) showed the highest prevalence of severe periodontitis (43%); 39% self-reported "fair" general health; 55% had household income <$35,000/year; and 48% were current smokers. Cluster 2 (n = 154) had one participant with periodontitis. Cluster 3 (n = 242) represented the greatest prevalence of moderate periodontitis (53%). In Cluster 4 (n = 35) only one participant had no periodontitis. Cluster 5 (n = 542) was the systemically healthiest with 77% having no/mild periodontitis.

CONCLUSION

Clustering of NHANES demographic, systemic health, and socioeconomic data effectively identifies characteristics that are statistically significantly related to periodontitis status and hence detects subpopulations at high risk for periodontitis without costly clinical examinations.

Association between diet and periodontitis: a cross-sectional study of 10,000 NHANES participants

BACKGROUND

Periodontitis is a major cause of tooth loss globally. Risk factors include age, smoking, and diabetes. Intake of specific nutrients has been associated with periodontitis risk but there has been little research into the influence of overall diet, potentially more relevant when formulating dietary recommendations.

OBJECTIVES

We aimed to investigate potential associations between diet and periodontitis using novel statistical techniques for dietary pattern analysis.

METHODS

Two 24-h dietary recalls and periodontal examination data from the cross-sectional US NHANES, 2009-2014 (n = 10,010), were used. Dietary patterns were extracted using treelet transformation, a data-driven hierarchical clustering and dimension reduction technique. Associations between each pattern [treelet component (TC)] and extent of periodontitis [proportion of sites with clinical attachment loss (CAL) ≥ 3 mm] were estimated using robust logistic quantile regression, adjusting for age, sex, ethnicity, education level, smoking, BMI, and diabetes.

RESULTS

Eight TCs explained 21% of the variation in diet, 1 of which (TC1) was associated with CAL extent. High TC1 scores represented a diet rich in salad, fruit, vegetables, poultry and seafood, and plain water or tea to drink. There was a substantial negative gradient in CAL extent from the lowest to the highest decile of TC1 (median proportion of sites with CAL ≥ 3 mm: decile 1 = 19.1%, decile 10 = 8.1%; OR, decile 10 compared with decile 1: 0.67; 95% CI: 0.46, 0.99).

CONCLUSIONS

Most dietary patterns identified were not associated with periodontitis extent. One pattern, however, rich in salad, fruit, and vegetables and with plain water or tea to drink, was associated with lower CAL extent. Treelet transformation may be a useful approach for calculating dietary patterns in nutrition research.

Analysing the global health agenda: A comparison of priority for diabetes and oral diseases

Many claims are made concerning which issues are on the global health agenda and which are neglected. Scholarship is inconsistent and generally vague about how an issue's status is (or should be) measured, however, leaving such claims open to questions about their validity. This inquiry explores a novel way of addressing the largely overlooked matter of how to comparatively assess the agenda status of health issues systematically, over time and in consideration of a global health context that lacks centralised authority. We draw upon a model from sociology which proposes that collective definitions of social problems and public attention evolve in multiple, interacting institutional arenas, each of which has the capacity to give robust attention to a limited number of issues. We systematically track status indicators for two significant global health issues, diabetes and oral diseases, in three arenas since 2000. Oral health's status declined while diabetes rose in international representation, international organisation and scientific research arenas during the past decade. This article sets out some preliminary contours of an analytical approach that holds promise for enhancing understanding of causal mechanisms and outcomes across a wider set of global health issues and agenda setting arenas.

Diabetes as a potential risk for periodontitis: association studies

Diabetes affects one in 10 adults and periodontal disease affects four in 10 adults in the USA, and they are linked. Individuals with diabetes are more likely to suffer from periodontal disease and periodontal disease affects glycemic control and complications of diabetes. The role of diabetes as a risk factor for periodontal disease and other oral conditions will be discussed in this review. The fact that type 2 diabetes, especially uncontrolled, is a risk factor for periodontal disease has long been recognized. However, the role of type 1 diabetes and gestational diabetes in periodontal risk has recently been described. Also, diabetes as a risk factor for tooth loss has more recently been described and the deleterious effects of tooth loss, especially edentulism, in comparing the diets of patients with diabetes is now fully appreciated. From longitudinal studies it is clear that diabetes often precedes periodontitis and, hence, may contribute to the causal pathway of periodontitis. Other oral manifestations of diabetes include increased risk of oral and nonoral (vaginal) fungal infections. In patients with diabetes there is often reduced salivary flow associated with diabetes medications and neuropathy affecting the salivary glands. This may lead to increased caries. Burning mouth, resulting from diabetes neuropathy, and taste impairment may also be seen. It has long been known that there is delayed wound healing in patients with diabetes, especially if uncontrolled. Hence, it is critical to achieve good glycemic control before carrying out surgical procedures or dental implant placement in patients with diabetes.

IDF Diabetes Atlas: Diabetes and oral health - A two-way relationship of clinical importance

The current scientific evidence for the bi-directional associations between oral health and diabetes is summarized. The universal biologic mechanisms and demographic and behavioral risk drivers underlying these associations in both directions are also described. Dysglycemia, even slightly elevated blood sugar levels, adversely affects oral health, manifesting itself in several oral diseases and conditions. In the opposite direction, any oral infection with its subsequent local and systemic inflammatory responses adversely affects blood glucose levels. Moreover, painful, mobile, or missing teeth may lead to intake of soft food items representing a sub-optimal diet and hence poor nutrition, and thereby contribute to incident type 2 diabetes or to poorer glucose control in existing diabetes. Treatment of inflammation related oral conditions, such as non-surgical periodontal treatment and extraction of infected teeth, can lead to a clinically significant decrease in blood glucose levels. Attention to infectious oral diseases and referral to dental care professionals for treatment can therefore be an important novel tool for medical care professionals in preventing and managing diabetes mellitus. Dental professionals can detect unrecognized potential dysglycemia and refer for medical examination. Such interprofessional, patient centered care may contribute to improved health, wellbeing, and quality of life in people with diabetes.

Periodontitis in US Adults: National Health and Nutrition Examination Survey 2009-2014

BACKGROUND

This report presents weighted average estimates of the prevalence of periodontitis in the adult US population during the 6 years 2009-2014 and highlights key findings of a national periodontitis surveillance project.

METHODS

Estimates were derived for dentate adults 30 years or older from the civilian noninstitutionalized population whose periodontitis status was assessed by means of a full-mouth periodontal examination at 6 sites per tooth on all non-third molar teeth. Results are reported according to a standard format by applying the Centers for Disease Control and Prevention/American Academy of Periodontology periodontitis case definitions for surveillance, as well as various thresholds of clinical attachment loss and periodontal probing depth.

RESULTS

An estimated 42% of dentate US adults 30 years or older had periodontitis, with 7.8% having severe periodontitis. Overall, 3.3% of all periodontally probed sites (9.1% of all teeth) had periodontal probing depth of 4 millimeters or greater, and 19.0% of sites (37.1% of teeth) had clinical attachment loss of 3 mm or greater. Severe periodontitis was most prevalent among adults 65 years or older, Mexican Americans, non-Hispanic blacks, and smokers.

CONCLUSIONS

This nationally representative study shows that periodontitis is a highly prevalent oral disease among US adults.

PRACTICAL IMPLICATIONS

Dental practitioners should be aware of the high prevalence of periodontitis in US adults and may provide preventive care and counselling for periodontitis. General dentists who encounter patients with periodontitis may refer these patients to see a periodontist for specialty care.

Lifestyle and periodontitis: The emergence of personalized periodontics

Personalized medicine is a medical model that involves the tailoring of healthcare - with medical decisions, practices, and/or products being customized to an individual patient. In this model, diagnostic testing is often employed for selecting appropriate and optimal therapies based on the context of a patient's genetic content or other epidemiologic, sociologic, molecular, physiologic, or cellular analyses. With the advent of major advances in periodontal medicine, including genomic discoveries and greater understanding of the multifactorial nature of periodontitis, it seems that the time is ripe to use personalized medicine as a model for personalized periodontics. This volume of Periodontology 2000 explores how new advances in our understanding of periodontitis within a medical model can evolve into new treatment strategies tailor-made for individual patients and not merely based on wholesale treatment paradigms.

Screening for Diabetes Risk Using Integrated Dental and Medical Electronic Health Record Data

Undiagnosed diabetes and prediabetes present a serious public health challenge. We previously reported that data available in the dental setting can serve as a tool for early dysglycemia identification in a primarily Hispanic, urban population. In the present study, we sought to determine how the identification approach can be recalibrated to detect diabetes or prediabetes in a White, rural cohort and whether an integrated dental-medical electronic health record (iEHR) offers further value to the process. We analyzed iEHR data from the Marshfield Clinic, a health system providing care in rural Wisconsin, for dental patients who were ≥21 y of age, reported that they had never been told they had diabetes, had an initial periodontal examination of at least 2 quadrants, and had a glycemic assessment within 3 mo of that examination. We then assessed the performance of multiple predictive models for prediabetes/diabetes. The study outcome, glycemic status, was gleaned from the medical module of the iEHR based on American Diabetes Association blood test cutoffs. The sample size was 4,560 individuals. Multivariate logistic regression revealed that the best performance was achieved by a model that took advantage of the iEHR. Predictors included age, sex, race, ethnicity, number of missing teeth, percentage of teeth with at least 1 pocket ≥5 mm from the dental EHR, and overweight/obesity, hypertension, hyperlipidemia, and smoking status from the medical EHR. The model achieved an area under the receiver operating characteristic curve of 0.71 (95% confidence interval, 0.69-0.72), yielding a sensitivity of 0.70 and a specificity of 0.62. Across a range of populations, informed by certain patient characteristics, dental care team members can play a role in helping to identify dental patients with undiagnosed diabetes or prediabetes. The accuracy of the prediction increases when dental findings are combined with information from the medical EHR. Knowledge Transfer Statement: Prediabetes and diabetes often go undiagnosed for many years. Early identification and care can lead to improved glycemic outcomes and prevent wide-ranging morbidity, including adverse oral health consequences, in affected individuals. Information available in the dental office can be used by clinicians to identify those who remain undiagnosed or are at risk; the accuracy of this prediction increases when combined with information from the medical electronic health record.

Association between diabetes mellitus/hyperglycaemia and peri-implant diseases: Systematic review and meta-analysis

AIM

This systematic review investigates whether hyperglycaemia/diabetes mellitus is associated with peri-implant diseases (peri-implant mucositis and peri-implantitis).

MATERIALS AND METHODS

Electronic and manual literature searching was conducted. An a priori case definition for peri-implantitis was used as an inclusion criterion to minimize risk of bias. The Newcastle-Ottawa Scale was used for quality assessment; random effect models were applied; and results were reported according to the PRISMA Statement.

RESULTS

Twelve studies were eligible for qualitative and seven of them for quantitative analyses. Meta-analyses detected the risk of peri-implantitis was about 50% higher in diabetes than in non-diabetes (RR = 1.46; 95% CI: 1.21-1.77 and OR = 1.89; 95% CI: 1.31-2.46; z = 5.98; p < .001). Importantly, among non-smokers, those with hyperglycaemia had 3.39-fold higher risk for peri-implantitis compared with normoglycaemia (95% CI: 1.06-10.81). Conversely, the association between diabetes and peri-implant mucositis was not statistically significant (RR = 0.92; 95% CI: 0.72-1.16 and OR = 1.06; 95% CI: 0.84-1.27; z = 1.06, p = .29).

CONCLUSIONS

Within its limits that demand great caution when interpreting its findings, this systematic review suggests that diabetes mellitus/hyperglycaemia is associated with greater risk of peri-implantitis, independently of smoking, but not with peri-implant mucositis.