Periodontal Diseases and Diabetes Mellitus: A Systematic Review

ABSTRACT

Introduction:

Although the fact that the association of the periodontitis and the diabetes mellitus is well accepted, the literature has inconsistent findings regarding this connection. The motive in conducting this systematic review was to define whether poorly controlled diabetes was linked to the development or progression of periodontitis.

Materials and Methods:

Databases from PubMed, Scopus, and Embase were searched electronically. All included articles’ reference lists were manually searched. Google Scholar was used to research gray literature. For this review, longitudinal studies (prospective) on the association between periodontitis and diabetes were taken into consideration. Studies have to have included at least two parameters of the evolution of health of the periodontium throughout time. The study’s design, as well as unadjusted and adjusted estimates, was recorded. This study calculated the combined impact of diabetes-related hyperglycemia on the start or progression of periodontitis using meta-analysis. To look into possible sources of study heterogeneity, subgroup analyses and meta-regression were used.

Results:

With 49,262 participants from 13 studies that met the inclusion criteria, 3197 of whom had been diagnosed with diabetes. Diabetes augmented the likelihood of developing or progressing into periodontitis by 86%, according to meta-analyses of adjusted estimates (RR 1.86; 95% CI 1.3-2.8). On the association between periodontitis and diabetes, there is little data, nonetheless.

Conclusions:

This study provides proof that persons with diabetes have an increased risk of developing periodontitis. Methodological limitations mentioned in this study should be overcome in upcoming prospective longitudinal investigations.

INTRODUCTION

A group of metabolic illnesses known collectively as diabetes mellitus are described by deficiencies in insulin production leading to a higher blood glucose levels.[1] Intimately linked to the growing number of poor health and life styles, diabetes mellitus is a public health issue. According to current projections, there will be over sixty crore cases of diabetes worldwide by 2040.[2] According to present data and forecasts,[2] it is predicted that nearly one crore people will get diabetes year, and that approximately 80% of those who already have the disease will pass away from its complications.[3-5] Microvascular disorders, neuropathy, retinopathy and nephropathy, and late healing are secondary consequences of uncontrolled hyperglycemia in diabetics.[6-8] The sixth significant problem of people with diabetes is periodontitis.[9] Although bacteria are thought to cause periodontal inflammation, the majority of the injury is a result of the host’s disturbed and disproportionate reaction to the biofilm in conjunction with the host’s failure to control the inflammatory progression.[10,11] Periodontal diseases can consequently result in loss of the tooth, mastication, nutritional deficiencies, and a lower health quality.[12,13]

It is scientifically conceivable to connect diabetes with the beginning and development of periodontitis. There are various plausible explanations for how they are connected. People with poorly controlled diabetes, for instance, have been found to have persistent activation of the immune system with elevated titers of circulating white blood cells and pro-inflammatory markers.[14] This persistent low-grade systemic inflammatory condition may encourage changes in the periodontium’s physiology that lead to the dissolution of the periodontium.[15] Additionally, hyperglycemia appears to change the systemic and gingival microvasculature, causing the periodontal tissues to become more inflammatory.[16]

There are few prospective long-term studies with acceptable scheme and statistics to infer causal and temporal correlations, despite the fact that multiple cross-section research have revealed an association between periodontitis and diabetes. The majority of methodological restrictions result from convenience samples, dropouts, inadequate sample sizes, and short follow-up periods to allow for illness occurrence.[17] A recent systematic analysis, which was primarily based on cross-sectional research, showed that people with a diabetes diagnosis had a greater prevalence of periodontitis.[18] The motive in conducting this systematic review was to define whether poorly controlled diabetes was linked to the development or progression of periodontitis.

MATERIALS AND METHODS

For conducting this study “The Meta-analysis of Observational Studies in Epidemiology (MOOSE)” standards were used when.[19,20] The question asked in this review was “Does poorly controlled diabetes mellitus increase the chance of periodontitis developing and spreading?”

Eligibility requirements

Studies looking at the relationship between the two diseases that included at least two assessments of the state of the periodontium over time were chosen. As instructed by the authors, information on the development or course of periodontitis was gathered. Studies on healing of the periodontium following therapies for periodontitis were not included.

Types of research

The original studies that are designed to be prospective longitudinal which examined the link between tobacco use and periodontal inflammation as well as other periodontal diseases and had a follow-up of around 12 months were taken into consideration.

Trials examining the impact on the healing after the periodontal surgeries in smokers and studies involving patients receiving supportive periodontal therapy were excluded from consideration. Finally, research that included comments or conference abstracts were not included, including case reports, ethnographic studies, retrospective longitudinal, cross-sectional, case-control, literature reviews, and case studies.

Measurements of exposure and results

To meet the requirements for inclusion, studies must exhibit at least 2 indicators of periodontitis “clinical attachment level,” “probing depth,” and “alveolar bone loss.” The research’ specified monitoring parameters for periodontal health were acceptable.

Search techniques

The manual and electronic literature searches up to 2020 in the databanks of the EMBASE, MEDLINE, PUBMED, and SCOPUS was conducted. The search terms were: “Periodontitis [MeSH] OR Periodontitis [MeSH] OR Chronic Periodontitis [MeSH] OR Periodontal diseases [all] OR Periodontitis [all] OR Chronic Periodontitis [all]) AND (Diabetes Mellitus [Mesh]) OR Diabetes Mellitus[all]) OR Insulin Resistance[Mesh]) OR Insulin Resistance[all]) OR Glucose Intolerance[Mesh]) OR Glucose Intolerance[all]) OR Metabolic Control[all]) OR Impaired Glycaemia[all]) OR Glycated Hemoglobin[all]) OR Glycated Hemoglobin[all])).[MeSH] (Cohort Studies [MeSH] OR Longitudinal Studies[MeSH] OR Follow-up Studies[MeSH] OR Prospective Studies[MeSH]).” No language or date limitations were imposed. All of the included papers’ reference lists were searched.

Selection of studies

All phases of the review involved managing the references using the program Endnote, version X8.0.1. First, repeated references were disregarded. Then, based on the qualifying requirements, two reviewers independently assessed the titles and abstracts. Conflicts were resolved by consensus when lists were compared. Established on the aforementioned selection criteria, the identical two reviewers evaluated the entire texts of articles that might be included in the review. Comparing the lists allowed for disagreements to be resolved through dialogue. Along the review process, the statistic was utilized to gauge the degree of arrangement among the reviewers.

Extraction of data

The following categories were used to organize the information taken from the studies:

1. The publication’s attributes, such as the author and the publication year;

2. Study features, including size of sample, key findings, study location, and follow-up time; and

3. The features of the association and the result: the definition and standards by which periodontitis and diabetes mellitus are assessed, as well as the standards by which the periodontal state has changed. Additionally, data on the analytical methodology, the raw and adjusted outcomes, and confounders were gathered.

Extracted data were associated, and conversations were made to come to an agreement in the event of dispute. This strategy was selected to prevent the inclusion of people from the reference category more than once. Only the most recent estimate was acquired in research that included numerous assessments over time.

Critical evaluation

The quality of the papers comprised in this review was evaluated with specific “Newcastle-Ottawa scale for cohort studies.” The scale consists of eight questions distributed across three dimensions: (1) research group selection, (2) study group comparability, and (3) result evaluation and adequate follow-up. Both reviewers met in advance of the critical evaluation procedure to discuss how each parameter should be assessed. Independently evaluating the papers critically, the reviewers came to an agreement via discussion when there were any differences. As an alternative of presenting an overall score to indicate the level of the study’s quality, a critical assessment according to each dimension of the instrument was visually displayed. Stata, version 14.2, was used to conduct all analyses. Fixed and random effect models were used to calculate the combined risk ratio estimate. The random effect model was favored when there was heterogeneity (I² >50% or Chi-square P value 0.05). When facts and projections were presented as an OR estimates of the relative risk were made accessible. In the lack of information, the authors were contacted for more details. The estimations were combined using two analytical models: one for unadjusted outcomes and the other for corrected results. Both models would incorporate a study’s inclusion of both estimations. The only processed model for additional analysis was the pooled model of adjusted findings.[21,22]

Analysis of heterogeneity’s sources

Random effects model was sued for the meta-regression.

Risk fraction attributable to the population

The degree to which the diabetes mellitus will impact periodontal inflammation was calculated using the approach suggested by Miettinen. This approach takes into account potential confounding; hence using it is advised for results that have been corrected.[23,24]

RESULTS

An aggregate of 1787 studies were found, and after duplicates were eliminated and titles and abstracts were checked, 23 articles’ full texts were retrieved and evaluated. Thirteen studies that included 49,262 individuals and 3197 people with diabetes met the inclusion criteria [Figure 1]. The primary explanations for study exclusion following full-text evaluation are displayed in Appendix 1. Only six studies’ worth of data were provided for the meta-analysis.

Figure 1.

Flowchart exhibiting the study selection

The average length of the follow-up period was 4.8 years, but it might have been as little as 8 months or as long as 20 years.[25-29] The remaining investigations[30,31] were carried out in high-income countries, while two were carried out in middle-income nations. Because the sample mainly included diabetic adults, in all the included studies there were no controls for the diabetic group, except two studies[28,30] where the subjects with the good control of the diabetes were taken as good control. With the exception of single study,[32] when self-reported data were taken, diabetes mellitus presence was diagnosed clinically. HbA1c was used for the diagnosis of the blood glucose levels in 7 studies.[25,27,28,30,33-35] Fasting plasma glucose was used in two studies.[36,37] In three investigations, the diagnosis of the diabetes was taken from the history.[26,29,31]

One study utilized a self-reported questionnaire[32] and radiographs to look for proximal bone loss[35] to evaluate whether periodontitis was present. But for two studies[34,37] where the specific teeth were evaluated, the complete mouth was preferred among the eleven studies including clinical examinations. In four studies,[25,29,31,33] AL and PPD were combined; in two studies,[26,27] PPD was the sole treatment employed; and in four studies,[28,34,36,37] the Community Periodontal Index (CPI) score was less than three. There was a significant difference in the number of variable selected for analytic adjustment, with 4 studies[26,29-31] not giving adjusted estimates. Table 1 displays the salient features of the studies that were a part of the systematic review.

Table 1.

Description of the various study characteristics of the included studies

Author	Country	Sample	Follow-up	Criteria for diabetes diagnosis	Assessment of periodontitis	Criteria periodontitis diagnosis
Bandyopadhyay et al.[25]	USA	n=88 (all DM) Age=55.6±9 yrs (34-77) Male=19 (21.6%)	1.9-4.1 yrs (mean 3.0±0.4)		Clinical examination (6 sites/tooth) whole mouth	AL, PPD, BOP
Chiu et al.[36]	Taiwan	n=4387 (35 DM) Age=35-44 yrs Male=55 (44.0%) Low SES=18 (14.4%) Smokers=49 (39.2%)	5 yrs (mean 1.7±1.0)	FPG ≥126 mg/dL	Clinical examination (6 sites/tooth) whole mouth	CPI
Cohen et al.[26]	USA	n=39 (21 DM) Age=27.6±4.4 yrs (18-35) All female	2 yrs	Not clear (clinical examination)	Clinical examination whole mouth	AL
Demmer et al.[33]	Germany	n=2626 (346 DM) Age=46±14 yrs Male=1260 (48.0%)	5 yrs	HbA1c ≥7%	Clinical examination (4 sites/tooth) half-mouth	AL, PPD
Firatli[31]	Turkey	n=64 (44 DM) Age=12.2±4.1 yrs	5 yrs	Not clear (clinical examination)	Clinical examination whole mouth	AL, PPD
Iwasaki et al.[27]	Japan	n=125 (27 MetS) Age=75 yrs Male=55 (44.0%) Low SES=18 (14.4%) Smokers=49 (39.2%)	3 yrs	HbA1c ≥6% and/or the current use of medication	Clinical examination (6 sites/tooth) whole mouth	AL
Jimenez et al.[32]	USA	n=35,247 (2285 DM) Age=54.1±0.7 yrs All male	20 yrs	Positive answer to presence of diabetes or classical symptoms of diabetes	Self-reported, validated in a subsample using bitewing radiographs	Positive answer to presence of periodontal disease
Karikoski and Mur- tomaa[28]	Finland	n=115 (all DM) Age=44.6±13.5 yrs (18-70) Male=67 (58.3%)	2yrs	HbA1c ≥8.6% uncontrolled diabetes	Clinical examination (whole mouth)	CPI
Lee et al.[37]	South Korea	n=313 (38 DM) Age=mean 72.3 yrs Male=171 (42.9%)	Approx. 6 yrs	FPG ≥126 mg/dL	Clinical examination (index teeth)	CPI
Morita et al.[34]	Japan	n=5856 (150 DM) Age=30-69 yrs Male=4511 (77.0%)	5.0 yrs	HbA1c ≥6.5%	Clinical examination (index teeth)	CPI
Novaes Jr. et al.[30]	Brazil	n=11 (all DM) Age=15-28 yrs Male=3 (27.3%)	10 yrs	HbA1c 8.4-9.6% controlled diabetes HbA1c ≥10.7 uncontrolled diabetes	Clinical examination (06 sites/tooth)	PPD, ABL in periapical
Sbordone et al.[29]	Italy	n=32 (16 DM) Age=9-17 yrs	3 yrs	Not clear (clinical examination)	Clinical examination (whole mouth)	PPD, AL
Taylor et al.[35]	USA	n=359 (21 DM) Age=23.45 yrs (15-57) Male=146 (40.3%)	1.2-6.9 yrs (mean 2.3 yrs)	controlled DM: HbA1c ≤8.9% Uncontrolled DM: HbA1c ≥9.0%	Panoramic radiographs	ABL
Author	Crude results		Adjusted results		Confounders/media- tors	Observations
Bandyopadhyay et al.[25]	≥2 mm increase in PPD if baseline: PPD=3 mm: OR 2.0 (1.2-3.3) PPD=5 mm: OR 2.8 (1.5-5.1) PPD=7 mm: OR 3.9 (1.7-8.7) ≥2 mm increase in CAL if baseline: PPD=3 mm: OR 1.9 (1.2-3.1) PPD=5 mm: OR 2.6 (1.3-5.1) PPD=7 mm: OR 3.6 (1.4-8.9)		≥2 mm increase PPD if base- line: PPD=3 mm: OR 2.0 (1.2-3.2) PPD=5 mm: OR 2.8 (1.5-5.0) PPD=7 mm: OR 3.8 (1.7-8.5) ≥2 mm increase CAL if base- line: PPD=3 mm: OR 1.9 (1.2-3.1) PPD=5 mm: OR 2.6 (1.4-5.1) PPD=7 mm: OR 3.6 (1.5-9.1)		Smoking, PPD at baseline, age, BMI, molar tooth site, upper-jaw tooth site	The Gullah have a higher genetic risk for diabetes, with a 3.3 relative risk of diabetes to siblings, which exceeds that in many other communities
Chiu et al.[36]	HR 1.9 (1.3-2.9)		HR 2.0 (1.2-3.1)		Age, sex, betel quids chewing, cigarette smoking, alcohol drinking, waist size and triglyceride
Cohen et al.[26]	AL (baseline and follow-up) Healthy: 0.7±0.2 and 0.8±0.2 mm Diabetes: 0.9±0.2 and 1.2±0.3 mm
Demmer et al.[33]	-		Mean PPD change estimate 0.2 Mean AL change estimate 0.4		WHR, CRP, WBC, age, sex, education, smoking, dentist and physician visit
Firatli[31]	PPD (baseline and follow-up)		Healthy: 1.2±0.2 and 1.2±0.2 mm Diabetes: 1.7±0.6 and 1.8±0.6 mm AL (baseline and follow-up		Healthy: 1.5±0.6 and 1.66±0.5 mm Diabetes: 2.4±0.9 and 3.5±1.0 mm
Iwasaki et al.[27]	RR 1.1 (0.5-2.4)		RR 0.9 (0.4-2.1		Sex, income, education, smoking status, number of the teeth at base- line, mean AL at baseline, pattern of visits to a dentist, and brushing frequency	Main outcome was MetS individuals enrolled in the Niigata Study
Jimenez et al.[32]	Age-adjusted HR 1.4 (1.2-1.6)		HR 1.3 (1.1-1.5)		Age, race, BMI, fruit/vegetable intake, physical activity, alcohol consumption, dental profession, history of CVD and number of teeth at baseline	Male health professionals aged 40-75 years at baseline (1986)
Karikoski and Mur- tomaa[28]	OR 0.8 (0.4-1.9)		OR 0.78 (0.3-2.1)		Age, sex, education, smoking, dental visit, brushing, inter- dental cleaning, calculus, CPI code 3 or 4, duration of diabetes, complications	Regular visitors of a Diabetes Clinic in Southwest Finland
Lee et al.[37]	<6 yrs of diabetes: OR 3.7 (1.0-13.1) ≥6 yrs of diabetes: OR 6.6 (2.9-15.0)		<6 yrs of diabetes: OR 3.3 (0.9-11.9) ≥6 yrs of diabetes: OR 8.0 (3.3-19.3)		Age, sex	Main outcome was MetS
Morita et al.[34]	RR 1.5 (1.3-1.7)		RR 1.17 (1.0-1.4)		BMI, smoking status, sex and age
Novaes Jr. et al.[30]	Mean PPD between baseline and follow-up for upper buccal and palatal, lower buccal and lingual regions were 2.0 and 2.8, 2.0 and 2.6, 1.9 and 2.8, and 2.0 and 2.6 mm. Mean ABL between baseline and follow-up for upper buccal and palatal, lower buccal and lingual regions were 1.9 and 2.7, 1.7 and 2.4, 1.9 and 3.0, and 1.7 and 2.3 mm
Sbordone et al.[29]	PPD (mean difference) Healthy: 3.3 mm Diabetes: 2.8 mm AL (mean difference) Healthy: 3.3 mm Diabetes: 2.8 mm
Taylor et al.[35]			OR 11.4 (2.5-53.3)		Age, time to follow-up, calculus	Gila River Indian Community

According to preliminary meta-analysis data, diabetics have a 70% higher chance of developing periodontitis than those without diabetes (“RR 1.70; 95% CI 1.3-2.3”). Despite significant study heterogeneity (“I² 89.7%”; “Chi square <0.001”), estimates after correction revealed that diabetes significantly amplified the risk of periodontitis onset or development (“RR 1.86 [95% CI 1.3-2.8”]).

The examination of numerous factors as potential sources of heterogeneity was not possible due to the very small number of papers that had enough information to be involved in a meta-regression analysis. The number of the subjects (22%) and the criteria for diagnosing diabetes (7%) and periodontitis (25.2%), of the variation between studies [Table 2].

Table 2.

Meta-regression analysis

Criteria	Number of estimates	Risk ratio	95% CI	Adjusted R2 (%)
Periodontitis criteria				22.7
Community Periodontal Index (CPI)	3	2.0	1.0-4.0
Attachment level	1	0.9	0.4-2.1
Radiographic bone loss	1	3.1	0.5-19.9
Self-reported	1	1.3	1.1-1.5
Diabetes diagnosis				12.8
HbA1c/FPG	5	2.2	1.6-3.9
Self-reported	1	1.3	1.1-1.5
Sample size				25.2
<500	3	2.9	1.1-8.1
500 and beyond	3	1.3	1.1-1.5

The meta-tiny analysis’s sample size prevented both statistical and visual evaluations of the small-study effect. When the sample size is less than 20 trials, the Egger’s test has low statistical power.[38]

DISCUSSION

This comprehensive review found that high glucose levels are positively linked with the initiation and advancement of periodontitis in all prospective studies included in it. According to our statistics, those with poorly controlled diabetics had an 86% higher risk of developing periodontitis than non-diabetics or those with well-controlled diabetes. The findings from animal and cross-sectional research, together with a dearth of prospective data, have generally been used to support the theory that diabetes mellitus may be a risk factor for periodontal diseases. This evaluation was unique in that it combined the effects of diabetes on periodontium utilizing only longitudinal prospective studies to establish the temporal relationships between the outcomes. Due to study design issues with the articles included in this study, this estimate should be carefully considered, despite the strong connection found in the meta-analysis.

Our findings showed that various methodological factors directly affect this connection. According to the findings of the meta-regression and subgroup analyses, the size of the sample accounted for about 25% of the variation between the included studies [Table 2]. Small sample size may overstate the relationship among supposed exposure and result, which is supported by earlier studies.[39,40] As a result, there is little evidence linking diabetes with periodontitis that comes from large population research using descriptive samples.

Additionally, RR was lower in self-reported studies compared to results from blood tests, which accounts for almost 13% of the heterogeneity between trials [Table 2]. Self-reported data can be used to measure general health issues, although this is still a common cause of variability in meta-analyses.[41] Nevertheless, the absence of this estimation from the pooled analysis did not make current study’s findings invalid.

The authors’ definition of the criteria for determining the existence of periodontitis is one area that needs to be scrutinized. It contributed to the explanation of 22.7% of the study heterogeneity in the meta-regression [Table 2]. The “Community Periodontal Index,” which is established on the probing depth of the pocket and is a unsatisfactory substitute for changes in attachment level, was used in 50% of the included studies in the meta-analysis.[42] Despite being widely used, CPI has significant limitations when it comes to the detection and tracking of periodontitis.[43] Additionally, reliant on the contextual characteristics of the study group under consideration, pocket probing depth can moreover underestimate or overstate loss of attachment.[44] Since clinical attachment level information indicates cumulative periodontal damage, it is desirable.[45] The one study that used clinical attachment level to evaluate periodontal condition, however, was unable to link diabetes to periodontal disease. Therefore, it is yet unknown if diabetes is linked to chronic periodontal disease.

It is important to look into this study’s other issues. First, despite the fact that the literature commonly assumes that diabetes increases the incidence of periodontitis, we were able to find only scant support for this hypothesis. Furthermore, there is little evidence linking diabetes to incident occurrences of periodontitis, and the majority of the few research looking at this issue have employed pocket probing depth (CPI) to identify the condition. Subsequently, glucose levels may have been utilized as a covariate for analytic adjustment in studies not found with current study, it is impossible to guarantee that all information about the association between periodontitis and diabetes in the literature was included in this study.

Because they concentrate on exposures that cannot be controlled and because participants cannot be exposed to risk factors that could damage them or merely be watched while a disease develops, risk factor studies typically aim to answer problems that cannot be answered with randomized research.[46] A well-executed meta-analysis of prospective studies is a reliable tool for evaluating studies as it aids in determining the causes of results variability among the studies and identifies areas that require additional investigation.[46] Furthermore, a prior study showed that meta-analyses of observational studies typically create effect estimates that are equivalent to those resulting from meta-analyses of trials.[47] In light of these data, we made the decision to include a meta-analysis to our evaluation.

Through meta-regression this study was able to spot discrepancies in the estimations resulting from studies utilizing various criteria for periodontitis risk and advancement, as well as the necessity for additional research on the subject using clinical attachment level to identify and track periodontitis. Lastly, because harmful illnesses typically coexist and diabetes and periodontitis share similar risk factors, it is impossible to completely rule out the persistence of those conditions.[48] Only 3 of the 8 studies of this analysis—which was adjusted for potential confounders—contained at least one of the following variables: “age, sex, socioeconomic status, smoking, and a weight-related variable.”[49] Moreover, one should remember, although analytical adjustment’s usefulness, it might not be sufficient. Let’s look at the situation of smoking, for instance. The exposure to tobacco smoking should be kept in mind, even though some research has shown results that have been adjusted for smoking. First, rather than considering a person’s history of smoking, the assessment primarily relies on information that was provided by the subject. Second, it is socially undesirable to disclose unhealthy situations.

The merits of the current study is that included longitudinal prospective studies are the most effective attempts to uncover potential biases and the greatest sources of information for assessing the intensity and timing of the link between poorly controlled diabetics and periodontitis. The overall sample size of this study, which included 3197 individuals with diabetes mellitus, was roughly 49,262 people. Furthermore, none of the six included manuscripts in the meta-analysis could be categorized to have high risk of bias, with five of the six receiving between 6 and 8 points on the Newcastle-Ottawa quality assessment scale.[21]

It is scientifically conceivable to connect diabetes with the beginning and development of periodontitis. The persistence of “Polymorphonuclear Leukocytes (PMNS)” in tissues after an insult causes significant damage of the tissue, which is typically associated with a quicker rate of development of chronic inflammatory illnesses in general.[50,51] Chronic hyperglycemia has been linked to the production of “Advanced Glycation End Products (AGEs)”.[8] In addition to overproducing superoxide, “Interleukin (Il)-1, Il-6, And Tumor Necrosis Factor (TNF), PMNS, Monocytes, and Macrophages” that express the AGE receptor cause tissue damage.[52,53] Periodontitis is caused by many of apoptotic cells being produced as a result of an enhanced, extended inflammatory process.[54-56] Additionally, as AGEs and pro-inflammatory substances cause fibroblasts to undergo apoptosis, due to cytokines, periodontal tissues’ ability to recover is impaired.[52] Furthermore, diabetes may change the gingiva’s microvascular pathology, which in turn heightens periodontal inflammation. Therefore, it is proposed that uncontrolled hyperglycemia could account for worsened gingival hemorrhaging.[16] It is speculated that the same thing occurs in periodontitis sites because persistent inflammatory circumstances linked to diabetes mellitus considerably increase the inflammatory activity.[51] PMNs and the tissue environment are altered during chronic inflammation, as shown by the exchange of PMNs between animals with and without systemic inflammation.[51] According to some theories, the immune response appears even more heightened in people with systemic inflammation when they are exposed for the first time to a bacterial infection.[51] Thus, it is plausible to predict that periodonto-pathogenic bacteria will cause or hasten the deterioration of periodontal tissues in people with uncontrolled diabetes mellitus who are frequently exposed to them.

CONCLUSION

All things considered, our findings demonstrate that diabetes is linked to a higher risk of periodontitis development and progression. Although the research assumes that diabetes has a role in the progress of periodontitis, there are many ways that the foundation of this information might be strengthened. Upcoming longitudinal prospective studies should address methodological issues such the lack of data on periodontal damage and small sample sizes that were uncovered in our study. Future research could also calculate the cluster effect of common risk variables to ascertain how blood glucose levels together with those risk factors affect the start and advance of periodontitis.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.