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RESEARCH REPORT |
1 Department of General Dentistry, Boston University, Goldman School of Dental Medicine, 100 East Newton Street, Boston, MA 02118, USA;
2 Harvard School of Public Health, Department of Nutrition, Boston, MA, USA;
3 US Air Force 59th Dental Squadron, San Antonio, TX, USA;
4 Stroke Neuroscience Unit, NINDS, National Institutes of Health, Bethesda, MD, USA;
5 Clinical Research Center/Periodontology and Oral Biology, Boston University Goldman School of Dental Medicine, Boston, MA, USA; and
6 VA Center for Health Quality, Outcomes and Economic Research, Bedford, MA, USA
* corresponding author, sjanket{at}post.harvard.edu
| ABSTRACT |
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KEY WORDS: meta-analysis inflammatory mediators hemoglobin A1c non-surgical periodontal treatment antibiotics treatment
| INTRODUCTION |
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have been implicated in the pathogenesis of diabetes mellitus. Several dental researchers have postulated that IL-1ß, IL-6, and CRP from periodontal infection might contribute to the total inflammatory burden (Craig et al., 2003; DAiuto et al., 2005). One early study showed that exodontia (removing teeth with advanced decay), a source of possible inflammatory mediators, improved glycemic control (Williams and Mahan, 1960). Since Williams and Mahans study, over 60 studies have examined the relationship between oral infection and glycemic control among diabetic patients. However, most of them were cross-sectional studies where causal association could not be inferred, and not all published reports were in agreement. These results have been summarized in several reviews (Grossi and Genco, 1998; Taylor, 2001, 2003), and only one review assessed longitudinal studies where causal association might be assumed, but the results were summarized without quantification (Taylor, 2003). Thus, we commenced this meta-analysis to review all published evidence systematically and to quantify the impact of periodontal treatment on HbA1c. Further, we explored the possible causes for the discrepant reports. We tested the null hypothesis that "periodontal treatment does not affect glycemic control in patients with diabetes".
| MATERIALS & METHODS |
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Selection
The inclusion criteria were as follows:
Data Abstraction
From each included study, three investigators independently extracted data regarding the study design, diabetes type, number of participants, duration of follow-up, treatment or intervention given, outcomes measures, confounding adjustment, and the results.
Study Characteristics
Most studies provided basic non-surgical periodontal therapy as the intervention. Some studies supplemented non-surgical periodontal debridement with chlorhexidine oral rinse or low-dose tetracycline or amoxicillin, systemically (Grossi et al., 1997; Rodrigues et al., 2003) or locally (Iwamoto et al., 2001). Most studies reported change in HbA1c in %, but some studies reported the number of subjects at different levels of HbA1c (Christgau et al., 1998). In such cases, we calculated the mean HbA1c by multiplying the number of subjects by the median value of that category, then dividing by the total number of subjects. Two studies reported an extremely small standard deviation (Grossi et al., 1997; Stewart et al., 2001). For these studies, we imputed the mean standard deviation of all studies included in this meta-analysis, assuming homogeneity according to the Q-statistic.
Quantitative Data Synthesis
Utilizing Stata version 8.0, we estimated the treatment effect for individual trials by calculating the differences in mean HbA1c levels between the pre- and post-periodontal treatments. We assessed heterogeneity by the Q-statistic, and publication bias using a funnel plot and Eggers and Beggs tests (Egger et al., 2001). We calculated the standard error of the weighted mean difference by pooling the variances in both groups, assuming equal variances on the basis of Q-statistic and taking the square root. We pooled data using the inverse variance method of weighting (for continuous outcomes) and using a random-effects model (DerSimonian and Laird, 1986). Additionally, to assess the effect differences due to diabetes type, the type of control (i.e., self as control or parallel control), or the treatment modality (i.e., non-surgical debridement vs. antibiotics administration), we conducted meta-regressions and stratified analyses.
| RESULTS |
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Heterogeneity
The Q-statistic for testing heterogeneity was not significant. For all 10 studies, the Q-statistic = 0.32; for type 2 diabetes studies only (N = 5), Q = 0.18 (p = 0.99). Thus, all included studies were quite homogeneous, and fixed-effects and random-effects models yielded identical results.
Validity Assessment
Two reviewers evaluated each studys quality independently. The agreement rate was 89%. Agreement was defined as the difference in total quality scores between the reviewers being within one standard deviation. Criteria used for quality assessment were based on our previous quality score rubrics, modified to accommodate clinical trials in periodontal treatment (Janket et al., 2003) (Appendix Table 3).
Quantitative Data Synthesis
Ten studies involving 456 type 1 and type 2 diabetic patients resulted in statistically non-significant decrease of HbA1c levels by 0.38% (Fig. 2
). The light and black squares designate the results from type 1 and type 2 diabetic patients, respectively, and a dotted square designates results from a type 1 and type 2 mixed group. Visual review of the graph suggests that there was a correlation between the diabetes type and the direction of outcomes. That is, the research that investigated type 2 diabetes mellitus (DM) appeared to generate stronger effects of periodontal treatment on HbA1c reduction than did the studies that examined predominantly the type 1 DM group. The result of meta-regression showed a non-significant decrease of 0.57% among type 2 DM patients only. The type of control did not manifest any substantial difference in the level of HbA1c (p = 0.82). The stratified analysis suggested that antibiotic treatment conferred 0.27% lower HbA1c level than that conferred by non-surgical debridement (0.71% vs. 0.44%) (Table 2
, Fig. 2
). Overall, the reduction in HbA1c levels was not significant, and we cannot reject the null hypothesis that "periodontal treatment does not affect glycemic control in diabetic patients".
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| DISCUSSION |
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Some studies might have considered their mean as a population mean and used standard errors of the means rather than standard deviation (Grossi et al., 1997; Stewart et al., 2001). Thus, their standard deviations were much smaller than those reported in other studies (standard deviations in parentheses): [Miller 92 (1.85), Seppala 94 (1.77), Aldridge 95 (2.00), Westfelt 96 (2.00), Grossi 97 (0.6), Christgau 98 (1.6), Stewart 01 (0.6), Iwamoto 01 (1.72), Rodrigues 03 (1.75)]. To avoid erroneously amplifying the impact of these studies on the final summary of this meta-analysis, we imputed the average standard deviation of all the studies included in this meta-analysis.
Some studies were criticized for dispensing doxycycline systemically, and thus for potential bias due to the reduction of systemic CRP and other systemic pro-inflammatory mediators. Our results suggest, however, that doxycycline 10 mg, topically delivered in periodontal pockets (Iwamoto et al., 2001), was more efficacious (10.5% decrease from pre-treatment level) than systemic administration of doxycycline 100 mg/day (4.7% decrease from pre-treatment levels) in reducing HbA1c (Grossi et al., 1997). In addition, we expected that local administration would have less serious and less frequent adverse events. These facts were not known prior to our systematic review and meta-analysis, and future investigators may wish to consult our recommendations in their respective studies.
Sixty percent of our samples studied predominantly type 1 DM patients who might not have displayed any noticeable changes in HbA1c, due to etiology and tighter control of insulin and HbA1c. Thus, restricting the summary results to type 2 diabetic patients who were not on an insulin regimen (we do not have this information) might elicit the true effects of periodontal treatment.
Studies with parallel comparison groups tended to show evidence of unbalanced randomization (Grossi et al., 1997; Rodrigues et al., 2003). Clearly, the control group had better glycemic control at baseline, which was significant (Rodrigues et al., 2003). In this case, adjusting for the baseline differences may be appropriate to differentiate the treatment effects from the effects due to baseline characteristics.
Recommendations for future studies are as follows:
and CRPsuch as smoking, BMI, and diet, as well as baseline characteristics affecting glycemic controlshould be adjusted, especially when there are signs of unbalanced randomization. The exception to this principle may apply in cases where self was considered as the control, and the duration of the study was reasonably short (812 wks). In this case, BMI change might be negligible, and if diet and smoking status did not change, no adjustment may be justified. Periodontal therapy with antibiotics appeared to decrease HbA1c levels by statistically non-significant 0.71% among patients with type 2 diabetes. Although this percent improvement in glycemic control may be of value to some patients, the evidence currently available was not strong enough for us to reject the null hypothesis, "periodontal treatment does not affect glycemic control in patients with diabetes". Further studies with a larger sample size among appropriate target populations and utilizing effective treatments are needed to discern whether there is a significant clinical benefit of periodontal therapy on blood sugar control in persons with type 2 diabetes.
| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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Received February 4, 2005; Last revision August 4, 2005; Accepted August 5, 2005
| REFERENCES |
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