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. 2020 Sep 4;18(4):a45087. doi: 10.3290/j.ohpd.a45087

Selective Influence of Smoking on Periodontal Treatment Outcomes after 3 Years of Follow-up

Taoufik Boulaamaim a, Henri Tenenbaum b, Jean-Luc Davideau c, Olivier Huck d
PMCID: PMC11654623  PMID: 32895667

Abstract

Purpose:

The impact of smoking habits on periodontal treatment has not been clearly elucidated. This study aimed to specify the effects of cigarette consumption and nicotine addiction on periodontal therapy.

Materials and Methods:

In this retrospective case-control study, 20 moderate smokers and 20 non-smokers with severe periodontitis were examined after initial diagnosis, and non-surgical active and supportive therapies for 1-6 years (mean follow-up = 3.37 years). Fagerström’s test of nicotine dependence (FTND) was evaluated at re-examination. Treatment efficacy was assessed by periodontal pocket probing depth (PPD) changes and number of teeth lost per year (TL). Bayesian multilevel and regression analyses were performed at site, tooth, and patient levels.

Results:

During the mean follow-up period of > 3 years including active and supportive periodontal therapies, mean PPD, PPD > 3 mm and PPD > 7 mm percentage reductions were 1.03, 1.48 and 2.57 times statistically significantly less pronounced, respectively, in smokers than in non-smokers. Multilevel analysis showed that the variability of PPD > 7 mm reduction was mainly associated with patient-level factors. Smokers presented a higher risk for periodontitis progression. In smokers, periodontal parameter improvement was less pronounced in the maxilla and molars. The mean TL was related to the FTND score, not to cigarette consumption. Regression analysis did not demonstrate other influences of demographic and periodontal treatment characteristics on treatment outcomes, except patient age.

Conclusion:

Smoking negatively impacted periodontal treatment outcomes at specific tooth sites (deep pockets, maxillary molars) and periodontitis progression, independent of other risk factors.

Key words: nicotine dependence, periodontitis, smoking, treatment outcomes


Cigarette smoking is a well-established risk factor for periodontitis.41 Numerous studies have shown that smoking can also negatively impact short- (<12 months),14,15,59 medium- (between 1 and 5 years),9,13,20,42,63 and long-term (>5 years) periodontal treatment outcomes.5,12,17,30,36,37,54,61 Furthermore, a recent meta-analysis demonstrated that smoking cessation significantly improved periodontal treatment outcomes,34 suggesting that smoking cessation intervention was a relevant element of periodontal therapy in smokers.7,41 However, regarding the relatively low efficacy of tobacco cessation services delivered in dental clinics – resulting in under 6% prolonged abstinence21 – practitioners must still consider the therapeutic approach for non-quitting smokers.47

This therapeutic approach should be based on a reliable evaluation of smoking risk.7 However, smoking risk characteristics and impact on periodontal treatments have not been clearly established, especially for non-surgical treatments.10,24,31 Indeed, some studies found no evidence of smoking affecting various treatment outcomes, including mean periodontal pocket depth (PPD) reduction,2,8,18,27,43,45,49,56,63 bone level,43 tooth loss,37,51 or periodontitis progression.19 Consequently, it could be difficult for the clinician to evaluate the real impact of patient smoking habits on treatment efficacy.9 These apparent discrepancies between studies may be related in part to the variability of the phases of periodontal treatment investigated, as well as data analysis.9,24,31,63 In fact, most of the studies only considered initial active periodontal therapy (APT) in the very short term – no more than 3 months15,18,27,56,59 – and supportive periodontal therapy (SPT),5,19,37,42 which did not reflect the overall effect of smoking on periodontal treatment. Furthermore, smoking has a greater influence on PPD changes during treatment than on clinical attachment loss (CAL).9,15,31,48,63 In some cases, only mean PPD changes of initial diseased sites (PPD > 4 mm) were impacted by smoking.63 Multilevel analysis, which considers the specific influence of tooth and site on periodontal treatment outcomes, allows a more accurate analysis of smoking effects than a single/patient-level analysis based on a mean effect.63 The problem of hierarchical structure of the periodontal response after treatment is prevalent in periodontal epidemiologic research.62 This problem will become even more acute in the near future, with the increasing availability of large, complex data sets. Recently, the Bayesian multilevel approach has been proposed to augment traditional analysis in dental and periodontal research.39,53 For instance, this statistical model provides a more accurate determination of site subgroups that influence examiner agreement for periodontal measures.53 This new approach could be of interest to evaluate the exact probability of smoking effect per patient from the given data and allow data analysis with small groups.55

The quantity and duration of tobacco consumption greatly influences the morbidity of smoking.37,41 Additionally, other behavioural and psychological aspects associated with smoking, including an increase of stress, could also influence periodontal responses.4 The Fagerström test of nicotine dependence (FTND) was initially established to predict smoking-cessation programme efficacy.35 FTND is a standard instrument to evaluate the intensity of physical addiction to nicotine. It contains six items that evaluate the quantity of cigarette consumption, the compulsion to use and the dependence. FTND does not only reflect a quantitative aspect of smoking but is also independently correlated with patient behaviour characteristics,40 systemic responses52 and the risk of cancer.32

We hypothesise that smoking and nicotine addiction have a differential effect on periodontal treatment outcomes according to the type of lesion, tooth involved and periodontitis progression. In order to evaluate the smoking and nicotine addiction impact on outcomes of overall periodontal treatment including APT and SPT in current moderate smokers versus non-smokers with severe periodontitis, a retrospective case-control study using a Bayesian multilevel analysis was performed.

Materials and Methods

Patients

Patients attending regular SPT visits at the Department of Periodontology, Dental Faculty, University of Strasbourg, France, were examined from January 2009 to June 2010. The present study was conducted following the ethical principles of the Declaration of Helsinki (2008 version); Strasbourg’s Hospital Ethics Committee granted ethical approval (ref: 2015-78). Records and charts of patients seen for an initial examination from 2002 to 2009 were selected and patients were invited to participate in this study. Patients were divided into two groups (smokers and non-smokers).

Sample Size Calculation

The sample size was based on the mean PPD reduction and standard deviation at the patient level observed in comparable studies14,30,63 and computed using G*power 3.1 software (University of Düsseldorf, Düsseldorf, Germany) as follows: the expected difference of mean PPD reduction between smokers and non-smokers was 0.3 mm and the standard deviation was 0.35 mm. Forty patients were selected, with 20 patients in each group.

Initial Examination Records and Exclusion Criteria

For the patient to be included in the study, the medical and periodontal history, PPD, number of missing teeth, and smoking status had to be recorded. PPD was measured using a manual periodontal probe PCPUNC 15 (HuFriedy; Chicago, IL, USA) at six sites per tooth. Patients who had undergone periodontal treatment before the initial examination, except for supra-gingival scaling, were excluded. Patients were categorised as severe chronic/aggressive periodontitis according to the classification of AAP3 (corresponding to periodontitis stages 3 to 4, grades A to C44 and presenting at least 10% of sites with CAL ≥ 5 mm). Aggressive periodontitis was defined by rapid attachment loss, bone destruction, and local (amount of microbial deposits) and systemic risk factors inadequate for periodontal destruction.33 Patients who used medications such as calcium channel blockers, were in need antibiotic prophylaxis, suffered from diseases that could influence periodontal status and treatment such as diabetes, and had ≤ 10 teeth (excluding third molars) were not included.

Nonsurgical Initial Periodontal Therapy

After initial diagnosis, non-surgical APT was performed, including oral hygiene education, scaling and two or three sessions of root planing. Oral hygiene was controlled at each visit and hygiene instructions were repeated if needed. Anti-infective systemic therapy was additionally given to patients with marked periodontal tissue inflammation and/or aggressive periodontitis,22 consisting of a course of systemic metronidazole (250 mg) and spiramycin (1,500,000 IU) twice a day for 15 days.33

Supportive Periodontal Therapy

The criteria to enroll patients in SPT were a significant and stable reduction of plaque accumulation, gingival inflammation and number of sites ≥ 4 mm. At the end of APT or at SPT re-evaluations, the recommended interval was 3-4 months for patients having residual PPD ≥ 5 mm associated with BOP and/or more than 10% of PPD ≥ 4 mm and/or 10% of BOP. For other patients, a 6-months interval was recommended. Each SPT session included a complete periodontal examination and, if needed, a reinforcement of oral hygiene methods. Subgingival biofilm and calculus (if needed) was carefully remove in residual and recurrent PPD ≥ 4 mm. Periodontal surgery (open-flap debridement) was performed during SPT in case of persistence (at least 6 months after APT completion) or worsening of deep periodontal defects (PPD > 5 mm associated with multi-rooted teeth).33 APT/SPT examinations and treatments were performed by trained periodontists or by students under supervised by experienced periodontists (HT, JLD, OH) at the Department of Periodontology.

Clinical Re-examination

All re-examinations were performed by the same examiner (TB) at the Department of Periodontology from January 2009 to June 2010. Patients were informed about the aims of this study and provided their consent orally. Re-examination included a medical history and self-reported comprehensive smoking history. Patients were categorised as smokers or non-smokers. The minimum consumption of smokers was 5 cigarettes/day without cessation during the follow-up period.12 Non-smokers were those who never smoked in their lives.5 For smokers, nicotine dependence was evaluated using FTND.25 A family history of periodontal disease and previous periodontal treatment modalities were recorded. The number of teeth lost/extracted during the study period was noted. The primary criterion of evaluation was mean PPD changes. The secondary criteria were % of PPD > 3 mm and % PPD > 7 mm changes and tooth loss.

Bayesian Data Analysis

The percentage of compliance was estimated by dividing the number of visits attended by the number of initially scheduled visits. The number of teeth lost during the follow-up period was divided by the number of follow-up years (TL). Worsening sites were defined as a PPD increase > 2 mm19 between the initial and final examinations. Periodontitis progression was defined as at least 3 sites on two different teeth with PPD increase > 2 mm, as adapted from Tonetti and Claffey60 (at least 3 sites on two different teeth with CAL increase > 2 mm). Third molars were excluded from the analysis.20,63

The influence of smoking on the treatment outcomes of periodontitis was evaluated using multilevel multiple regression. In order to consider correlation between sites, teeth, and patients, three levels were considered in each model with random effects, under the assumption of normal distribution. To compare mean PPD before and after treatment in each group, the multilevel model was fitted under a gamma distribution assumption. To study proportions of sites where PPD was > 3 (total number of pockets) or 7 mm (deep pockets) and the number of worsening sites, multilevel logistic regressions with binomial distribution were fitted to the data. To compare changes of periodontal parameters on molars or on archs, interactions from both the second and third order were included in the model. Models results are described as mean ± standard deviation and 95% credibility interval or as percentage for the coefficient to be positive. Statistical analyses were run under the Bayesian paradigm.6,38,39,55 The Bayesian paradigm gives the probability that a treatment or that an effect is present, given the observed data, while the frequentist methods give the probability of the data given a null hypothesis. The results are expressed as point estimates (mean, proportion or difference thereof, or correlation coefficient) and a 95% credibility interval. Finally, Bayesian analysis results provide the probability that the parameter under study is larger (or smaller) than a reference value. Very high (>0.95) or very low values (<0.05) of this probability (pr) can be considered statistically significant. Computations were run with R 3.0.2 and WinBUGS 1.4 (MRC Biostatistics Unit; Cambridge, UK). For each analysis, a single MCMC (Markov Chain Monte Carlo) chain with 5000 iterations as burn-in and 100,000 iterations were used to generate the posterior distribution. Autocorrelation and convergence were checked graphically. The model converged in every case.

Results

Population Characteristics at Initial Examination and Treatment Modalities

At the initial examination, the demographic characteristics were comparable for the two groups. The mean number of cigarettes/day (cig/day) was 13.4 (5 to 20 cig/day) in smokers and the mean FTND score was 2.65 (0 to 7). Eight patients had a FTND ≥4 (Table 1). The periodontal characteristics were also similar in both groups. All selected patients suffered from severe periodontitis: 29 patients (10 in smokers, 11 in non-smokers) were classified as chronic periodontitis, 11 patients as aggressive periodontitis. The mean number of missing teeth per patient was 3.55 in smokers and 3.35 in non-smokers. The mean PPD was 4.03 mm in smokers and 3.91 mm in non-smokers. The percentages of sites with PPD > 3 mm and PPD > 7 mm were 54.7 and 3.86 in smokers and 49.9 and 5.14 in non-smokers. The mean follow-up duration was 3.73 years in smokers and 3.03 years in non-smokers. The number of attended visits/year and the percentages of compliance were 1.93 (±0.92) and 65.5% in smokers and 2.16 (±0.61) and 72.1% in non-smokers. Ten smokers and 11 non-smokers received antibiotic treatment. Limited periodontal surgery was only performed on 3 patients in one quadrant (2 smokers and 1 non-smoker) during the whole follow-up period.

Table 1.

Comparison of baseline and treatment characteristics in smokers and non-smokers

Characteristics Baseline Interval of credibility
Total Smokers Non-smokers Diff
(N=40) (N=20) (N=20)
Age (years) 48.2 (12.17) 45.9 (10.58) 50.45 (13.47) 15 (-11.93; 3.51)
Missing teeth (n) 3.45 (4.01) 3.55 (4.57) 3.35 (3.24) 8 (-0.94; 1.38)
Diagnosis CP (n) 29 14 15 5 (-0.31; 0.22)
Cig/day (n) / 13.4 (4.48) / /
Fagerström score / 2.65 (1.84) / /
Mean PPD (mm) 3.97 (0.76) 4.03 (0.78) 3.91 (0.77) 1.5 (-0.02; 0.2)
PPD > 3 mm (%) 52.3 (18.1) 54.70 (19.97) 49.91 (16.68) 40% (1%; 7%)
PPD > 7 mm (%) 4.49 (5.39) 3.86 (4.43) 5.14 (6.29) 15% (-2%; -1%)
Follow-up years (n) 3.37 (2.29) 3.73 (2.34) 3.03 (2.24) 3 (-0.51; 1.82)
Compliance (%) 68.8 (26.6) 65.5 (31.8) 72.1 (20.4) 40% (-43%; 7%)
Antibiotics (n) 21 10 11 5 (-0.34; 0.24)

Values are given as means (SD). Diff: estimated allowed difference between smoker and non-smoker groups to be considered clinically similar; cig/day: number of cigarettes per day; CP: chronic periodontitis.

Change of Periodontal Parameters During Follow-up Depending on Smoking Status

Mean PPD, numbers and percentages of PPD that demonstrated a significant improvement during treatment were evaluated. The mean PPD was reduced by 1 mm, while a 2-fold and a 4-fold reduction of PPD > 3 mm and PPD > 7 mm percentages were observed, respectively. Significant differences were observed for PPD changes between smokers and non-smokers. Mean PPD, PPD > 3 mm and PPD > 7 mm percentage reductions were 1.03, 1.48 and 2.57 less pronounced in smokers than in non-smokers, respectively. The total number of worsening sites (PPD increase > 2 mm) was 2.00 (1.95%) (Table 2). It was significantly higher (3.11) in smokers than in non-smokers. Furthermore, smokers presented a 3-fold higher risk for periodontitis progression corresponding to at least 3 sites on two different teeth with PPD increase > 2 mm (RR=3.33). The mean TL was 0.30 and did not significantly differ between smokers (0.27) and non-smokers (0.33). The multilevel analysis showed that the factors acting at the site-level contributed about 71.6%, 52.7%, and 35.9% to the variation of mean PPD, PPD > 3 mm and > 7 mm percentage reductions, respectively (Table 3).

Table 2.

Periodontal parameter changes during treatment

Parameters Mean (SD)
Total Smokers Non-smokers
Mean PPD (mm) 0.90 (0.64)* 0.78 (0.66) 1.01 (0.61)#
PPD > 3 mm (%) 22.2 (12.6)* 19.2 (14.0) 25.3(12.6) #
PPD > 7 mm (%) 3.40 (5.12)* 2.29 (4.06) 4.62 (5.87) #
PPD increase > 2 mm (n) 2.00 (1.95) 2.70(2.12) 1.30(1.53) #
Progression (n) 13 10 3#
Tooth loss/year (n) 0.30 (0.58) 0.27 (0.56) 0.33 (0.62)

: reduction of parameter between baseline and final examination; *significant difference between baseline and final examination pr<0.0001. #Significant difference between smokers and non-smokers pr < 0.01; pr: beta > 0 probability

Table 3.

Multilevel analysis of periodontal parameter changes during treatment depending on smoking status

Parameters beta0 (IC) beta TRT NS/S (IC) prTRT NS/S var Patient (%) var Tooth (%) var Site (%) total var
Mean PPD 1.502 (1.226, 1.735) -0.032 (-0.057, -0.006) 0.0067 0.076 (12.67) 0.094 (15.67) 0.429 (71.65) 0.599
%PPD > 3 mm 1.639 (0.3266, 2.7620) -0.393 (-0.587, -0.198) 0.0001 0.793 (22.44) 0.878 (24.82) 1.864 (52.72) 3.536
%PPD > 7 mm -2.778 (-3.721, -1.806) -0.945 (-1.425, -0.477) 0.0000 1.262 (45.56) 0.513 (18.53) 0.994 (35.89) 2.770
PPD increase > 2 mm -4.378 (-5.253, -3.528) -1.137 (-1.878, -0.420) 0.0011 0.573 (28.09) 0.897(43.96) 0.570 (27.93) 2.040

TRT NS/S: treatment and smoking effect; pr: beta > 0 probability, var: variance, (IC): interval of credibility (2.5%, 97.5%), (%): percentage of the total variance; significant difference in bold, pr < 0.05 or > 0.95.

Change of Periodontal Parameters Depending on Arch, Tooth Type and Smoking Status

At the final examination, the reduction of PPD > 7 mm percentage and the number of worsening sites were higher in the maxilla than in mandible for the whole group, while reduction of mean PPD and PPD > 3 mm percentages were similar. The improvement of these parameters except worsening sites was significantly less pronounced in the maxilla of smokers than non-smokers. The reduction of PPD > 7 mm was 6 times higher in the maxilla of non-smokers than in smokers, while this reduction was similar for mandibles. Reductions of mean PPD, PPD > 3 mm and PPD > 7 mm percentages were also significantly lower in molars of smokers. No difference was observed between smokers and non-smokers for non-molars (Table 4). The multilevel analysis showed that the factors acting at the site-level contributed about 95.7%, 53.7%, and 36.3% to the variation of mean PPD, PPD > 3 mm and 7 mm percentage reductions between the maxilla and mandible, and 91.7%, 62.5%, 40.6% between non-molars and molars, respectively (Table 5).

Table 4.

Periodontal parameter changes during treatment depending on arch and tooth type

Mean (SD)
Total Smokers Non-smokers
Max Md Max Md Max Md
Parameters
Mean PPD (mm) 0.90 (0.61) 0.93 (0.84) 0.69 (0.49) 0.94 (1.01) 1.12 (0.66)# 0.92 (0.66)
PPD > 3 mm (%) 23.5 (13.6) 20.9 (17.3) 19.8 (11.7) 18.8 (18.9) 27.2 (14.4)# 23.1 (15.8)
PPD > 7 mm (%) 3.71 (6.49) 3.14 (5.0)* 0.98 (0.76) 3.14 (4.46) 6.44 (7.10)# 3.13 (4.31)
PPD increase > 2 mm (n) 1.25 (0.96) 0.75 (1.25)* 1.75 (1.58) 0.95 (1.31) 0.75 (0.96) 0.55 (1.19)
NM M NM M NM M
Parameters
Mean PPD (mm) 0.91 (0.43) 0.82 (0.78)* 0.84 (0.72) 0.52 (0.71) 0.98 (0.65) 1.11 (0.76) #
PPD > 3 mm (%) 23.5 (15.3) 18.2 (17.7) 22.1 (17.1) 9.72 (14.7) 25.0 (13.6) 26.7 (16 .6) #
PPD > 7 mm (%) 3.20 (4.80) 3.60 (1.00) 2.09 (2.26) 1.62 (2.74) 4.31 (5.17) 5.58 (7.09) #
PPD increase > 2 mm (n) 0.92 (1.65) 1.07 (1.24)* 1.35 (2.05) 1.35 (1.38) 0.50 (1) 0.80 (1.05)

Mx: maxilla, Md: mandible, NM: non-molars, M: molars; : reduction of parameter between baseline and final examination; *Significant difference between maxilla and mandible or non-molars and molars pr<0.05 ; #Significant difference between non-smokers and smokers pr<0.05 or >0.95.

Table 5.

Multilevel analysis of periodontal parameter changes during treatment depending on smoking status, arch and tooth type

Mx/Md beta0 (IC) betaTRT Mx/Md (IC) pr TRT Mx/Md betaTRT NS/S Mx/Md (IC) prTRT NS/S Mx/Md Var Patient (%) Var Tooth (%) Var Site (%) Total var
mean PPD -1.094 (-1.765, 0.723) 0.007 (-0.025, 0.039) 0.662 -0.067 (-0.106, -0.027) 0.000 0.129 (2.23) 0.118 (2.04) 5.519 (95.71) 5.766
%PPD > 3 mm 1.944 (0.723, 3.167) 0.157 (-0.085, 0.399) 0.899 -0.480 (-0.746, -0.214) 0.000 0.789 (22.64) 0.821 (23.56) 1.874 (53.78) 3.484
%PPD > 7 mm -2.613 (-3.626, -1.495) -0.433 (-0.954, 0.080) 0.049 0.799 (-0.063, 1.681) 0.965 1.274 (45.41) 0.511 (18.21) 1.02 (36.36) 2.805
PPD increase > 2 mm -4.033 (-4.975, -3.108) -0.769 (-1.720, 0.124) 0.046 -0.032 (-1.164, 1.067) 0.4794 0.576 (28.90) 0.857 (42.95) 0.561 (28.14) 1.996
NM/M beta0 (IC) betaTRT NM/M (IC) prTRT NM/M betaTRT NS/S NM/M (IC) prTRT NS/S NM/M Var Patient (%) Var Tooth (%) Var Site (%) Total var
Mean PPD -0.362 (-1.940, 0.591) 0.102 (0.068, 0.137) 1 -0.070 (-0.112, -0.027) 0.000 0.122 (4.17) 0.119 (4.07) 2.682 (91.75) 2.923
%PPD > 3 mm 1.280 (0.181, 2.396) -0.004 (-6.166, 6.189) 0.499 0.162 (0.012, 0.312) 0.983 0.797 (26.99) 0.309 (10.46) 1.846 (62.53) 2.952
%PPD> 7 mm -3.040 (-4.030, -2.066) 0.016 (-6.229, 6.243) 0.503 0.824 (0.470, 1.204) 1.000 1.259 (51.72) 0.187 (7.68) 0.988 (40.59) 2.434
PPD increase > 2 mm -4.741 (-5.639, -3.859) 1.259 (0.443, 2.104) 0.9984 0.453 (-0.618, 1.561) 0.7928 0.580 (34.27) 0.542 (32.03) 0.570 (33.68) 1.694

TRT Mx/Md: comparison of treatment effect between maxilla and mandible; TRT NM/M: comparison of treatment effect between non-molars and molars; TRT Mx/Md NS/S: comparison of treatment and smoking effect between maxilla and mandible; TRT NM/M NS/S: comparison of treatment and smoking effect between non-molars and molars; pr: beta > 0 probability, var: variance, (IC): interval of credibility (2.5%, 97.5%), var: variance, (%): percentage of the total variance; significant difference pr < 0.05 or > 0.95 in bold.

Demographic, Periodontal and Treatment Characteristics, Smoking, Addiction and changes of Periodontal Parameters

Multivariate and multilevel regression analysis showed that few demographic, periodontal and treatment characteristics other than smoking, arch and tooth type influenced periodontal parameter changes in the whole group, as well as in smokers and non-smokers. Mean PPD reduction diminished with age (pr=1). The number of cigarettes and smoker classification as light (5 to 10 cig/day) vs moderate (11 to 20 cig/day) did not independently influence periodontal outcomes (data not shown). However, patients with a FTND > 3 demonstrated a higher TL (0.66 vs 0.02).

Discussion

Our study showed that the efficacy of the whole periodontal treatment including APT and SPT was selectively impaired in moderate smokers suffering from severe periodontitis. This reinforced the hypothesis that smoking has a specific deleterious effect on periodontal tissue healing.31,41 Few studies have investigated the effect of smoking effect both APT and SPT.9,20,30,43 However, periodontal response to treatment is a continuous process and the short-term effect term could change (worsen/improve) over the long-term, emphasising the clinical relevance of considering periodontal treatment as a whole.9,30,63 The changes of various periodontal parameters were significantly less favourable in smokers than in non-smokers, especially for moderate and deep periodontal pockets. However, the observed difference of mean PPD changes between smokers and non-smoker (0.23 mm) appeared statistically and clinically less relevant using multilevel analysis. Similarly slight or no significant differences between smokers and non-smokers9,14,30,30,63 and no difference45,49 have been observed in the short and long term, suggesting that mean PPD reduction is not the best parameter to determine the effect of smoking on periodontal treatment also in the long term.

The multilevel analysis showed that the site-level factor contributed largely (around 70%) to the total variance of mean PPD changes, as previously observed with other multilevel methods for lingual vs buccal site localisation, plaque accumulation and PPD at baseline.14,63 These data suggest that moderate to deep pocket changes may be more influenced by factors acting at the patient-level, such as smoking. In the study by Wan et al,63 the reduction of PPD > 4 mm percentage was 1.6-fold higher in non-smokers than in smokers. In our study, the percentage reduction of diseased sites (PPD > 3 mm) was 1.48-fold higher in non-smokers compared to smokers. This negative effect of smoking was amplified in deep pockets, with a 2.57-fold higher reduction in non-smokers for PPD > 7 mm. The same ranges of amplification have already been described for the probability of pocket closure in the short term59 and can apparently persist, as shown here.

Interestingly, periodontal disease progression appeared to be significantly increased in smokers, as previously described.37 The numbers/percentages of sites with PPD ≥ 5 mm,5 with no decrease of PPD after APT at 10 weeks27 and PPD deterioration > 2 mm,19 and CAL ≥ 3 mm37,42 during SPT, were correlated with smoking. However, in the study by Fisher et al,19 the recurrent sites with an increase of PPD were not related to smoking. The lower percentage of recurrent sites (0.85%) may explain this contradictory result. Furthermore, in our study, 50% of smokers (15% of non-smokers) presented disease progression, corresponding to 77% of patients with periodontitis progression in the whole group. The negative impact of smoking during SPT on the number of patients with periodontitis progression has been previously shown in various studies.5,37,42 Our data extended this notion to the whole range of periodontal treatment, including APT and SPT.

The negative effect of smoking on periodontal treatment outcomes also appeared to be influenced by anatomical factors. The improvement of periodontal status was significantly more pronounced in the maxilla of non-smokers than smokers. This influence of arch on treatment response for smokers has not been frequently described. It has been observed in studies with tooth- and site-level analysis for residual PPD ≥ 5 mm + BOP,9 and molar loss,50 but was not observed for mean PPD reduction.63 The periodontal status of maxillary teeth has been shown to be constantly worse in smokers than in non-smokers,29 suggesting the existence of a local effect in addition to a systemic effect of smoking on periodontitis severity.9,23 Similarly, our data showed that molars did not respond well to periodontal treatment compared to non-molars. This effect was amplified in smokers. A similar trend has been previously described for pocket closure (PPD ≥ 4 mm) in the short term,59 as well as for tooth loss.36 However, a tooth/site-dependent increase of residual PPD ≥ 5 mm + BOP has been described in maxillary single-rooted teeth of smokers but not in maxillary multi-rooted teeth.9 The concomitantly observed decrease of BOP% and increase number of PPD ≥ 6 mm during 5-year SPT in smokers suggested that the association of these two clinical signs at the site level in smokers may not reflect the same periodontal treatment morbidity as in non-smokers.46 These data pointed out the importance of considering the severity of molar periodontal destruction in smokers before starting periodontal treatment.59

Concerning other potential influencing factors on the observed periodontal treatment outcomes, initial periodontal disease severity and percentages of deep pockets were similar between smokers and non-smokers, while in other studies, the initial severity of periodontitis was frequently higher in smokers.9,46 The number of patients suffering from severe chronic or aggressive periodontitis was also similar in smokers and non-smokers, anticipating a potentially different response between these two types of periodontitis.16 Treatment modalities, such as antibiotic use and compliance, were also equivalent in both groups. The multivariate multilevel regression analysis did not reveal selective influences of initial periodontal diagnosis and treatment modalities, i.e. antibiotic use, follow-up duration and compliance, confirming that smoking independently and predominantly influenced periodontal treatment outcomes in the mid-term in our study population. These data were in agreement with the lack of a different influence of the type of severe periodontitis (chronic/aggressive) and antibiotic treatments in smokers vs non-smokers.11,16 A dose-effect of smoking was not observed in our study, contrary to previous data on periodontal treatment outcomes.36,37 In our study, smoking effect evaluation was based on patient self-reports and not on objective measurements of nicotine level or exhaled carbon monoxide, which may also limit the interpretation of results.9,31 However, this discrepancy could be due to the absence of heavy smokers (> 20 cig/day) and to the relatively small size of the smoker group.1 The absence of heavy smokers could reflect the observed reduction of number of cigarettes consumed in France in the last decade.58 In our study, TL was not influenced by smoking status, as previously shown in some studies.37 However, smokers with a FTND ≥ 4 corresponding to the optimum cut-off score of FTND to establish nicotine dependence26 showed a higher TL rate. A low FTND has been shown to be a predictor of smoking cessation,35 also in periodontally treated patients.28 However, FTND, especially the time of the first cigarette after waking up, was also independently associated with upper-respiratory and digestive-tract cancers regardless of smoking intensity and duration.32 These data suggested that evaluation of nicotine dependence via FTND could capture additional negative effects of smoking on periodontal treatment outcomes, which merit further investigations.

Conclusion

Within the limitations of this study, our data demonstrated a negative effect of smoking on specific periodontal treatment outcomes in the mid-term, in light of moderate smokers suffering from severe periodontitis. The failure of periodontal treatment associated with PPD/at-risk tooth site and periodontitis progression were selectively amplified in smokers. Our data could allow providing patients with more specific information their individual smoking risk. For patients who did not quit smoking, tailored APT and SPT based on periodontitis severity and addiction evaluation may also be considered in individual risk. Complementary anti-infectious treatments and reinforcement of patient compliance may be necessary.7,47,57 Finally, a tool such as FTND should be used rather than number of cigarettes/day only to precisely determine the addiction level and characterise smoking habits. Such analyses will be useful in adapting smoking addiction treatment strategies.

Acknowledgments

The authors thank Dr Mickaël Schaeffer and the Pr Nicolas Meyer Department of Public Health, GMRC, Strasbourg University Hospital, Strasbourg, France, for their help with statistical analyses.

References

  1. Angaji M, Gelskey S, Nogueira-Filho G, Brothwell D. A systematic review of clinical efficacy of adjunctive antibiotics in the treatment of smokers with periodontitis. J Periodontol. 2010;81:1518–1528. doi: 10.1902/jop.2010.100192. [DOI] [PubMed] [Google Scholar]
  2. Angst PDM, Piccinin FB, Oppermann RV, Marcantonio RAC, Gomes SC. Response of molars and non-molars to a strict supragingival control in periodontal patients. Braz Oral Res. 2013;27:55–60. doi: 10.1590/s1806-83242013000100010. [DOI] [PubMed] [Google Scholar]
  3. Armitage GC. Development of a classification system for periodontal diseases and conditions. Ann Periodontol. 1999;4:1–6. doi: 10.1902/annals.1999.4.1.1. [DOI] [PubMed] [Google Scholar]
  4. Bakri I, Douglas CWI, Rawlinson A. The effects of stress on periodontal treatment: a longitudinal investigation using clinical and biological markers. J Clin Periodontol. 2013;40:955–961. doi: 10.1111/jcpe.12142. [DOI] [PubMed] [Google Scholar]
  5. Bäumer A, El Sayed N, Kim T-S, Reitmeir P, Eickholz P, Pretzl B. Patient-related risk factors for tooth loss in aggressive periodontitis after active periodontal therapy. J Clin Periodontol. 2011;38:347–354. doi: 10.1111/j.1600-051X.2011.01698.x. [DOI] [PubMed] [Google Scholar]
  6. Bourgeois D, Bouchard P, Mattout C. Epidemiology of periodontal status in dentate adults in France, 2002-2003. J Periodont Res. 2007;42:219–227. doi: 10.1111/j.1600-0765.2006.00936.x. [DOI] [PubMed] [Google Scholar]
  7. Buduneli N. Editorial: Can we help smoking patients? How? Oral Health Prev Dent. 2018;16:389–390. doi: 10.3290/j.ohpd.a41497. [DOI] [PubMed] [Google Scholar]
  8. Buduneli N, Buduneli E, Kütükçüler N. Interleukin-17, RANKL, and osteoprotegerin levels in gingival crevicular fluid from smoking and non-smoking patients with chronic periodontitis during initial periodontal treatment. J Periodontol. 2009;80:1274–1280. doi: 10.1902/jop.2009.090106. [DOI] [PubMed] [Google Scholar]
  9. Bunaes DF, Lie SA, Åstrøm AN, Mustafa K, Leknes KN. Site-specific treatment outcome in smokers following 12 months of supportive periodontal therapy. J Clin Periodontol. 2016;43:1086–1093. doi: 10.1111/jcpe.12619. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Chambrone L, Chambrone D, Lima LA, Chambrone LA. Predictors of tooth loss during long-term periodontal maintenance: a systematic review of observational studies. J Clin Periodontol. 2010;37:675–684. doi: 10.1111/j.1600-051X.2010.01587.x. [DOI] [PubMed] [Google Scholar]
  11. Chambrone L, Vargas M, Arboleda S, Serna M, Guerrero M, de Sousa J, Lafaurie GI. Efficacy of local and systemic antimicrobials in the non-surgical treatment of smokers with chronic periodontitis: a systematic review. J Periodontol. 2016;87:1320–1332. doi: 10.1902/jop.2016.160268. [DOI] [PubMed] [Google Scholar]
  12. Chambrone LA, Chambrone L. Tooth loss in well-maintained patients with chronic periodontitis during long-term supportive therapy in Brazil. J Clin Periodontol. 2006;33:759–764. doi: 10.1111/j.1600-051X.2006.00972.x. [DOI] [PubMed] [Google Scholar]
  13. Costa FO, Lages EJP, Cota LOM, Lorentz TCM, Soares RV, Cortelli JR. Tooth loss in individuals under periodontal maintenance therapy: 5-year prospective study. J Periodont Res. 2014;49:121–128. doi: 10.1111/jre.12087. [DOI] [PubMed] [Google Scholar]
  14. D’Aiuto F, Ready D, Parkar M, Tonetti MS. Relative contribution of patient-, tooth-, and site-associated variability on the clinical outcomes of subgingival debridement. I. Probing depths. J Periodontol. 2005;76:398–405. doi: 10.1902/jop.2005.76.3.398. [DOI] [PubMed] [Google Scholar]
  15. Darby IB, Hodge PJ, Riggio MP, Kinane DF. Clinical and microbiological effect of scaling and root planing in smoker and non-smoker chronic and aggressive periodontitis patients. J Clin Periodontol. 2005;32:200–206. doi: 10.1111/j.1600-051X.2005.00644.x. [DOI] [PubMed] [Google Scholar]
  16. Deas DE, Mealey BL. Response of chronic and aggressive periodontitis to treatment. Periodontol 2000. 2010;53:154–166. doi: 10.1111/j.1600-0757.2009.00334.x. [DOI] [PubMed] [Google Scholar]
  17. Eickholz P, Kaltschmitt J, Berbig J, Reitmeir P, Pretzl B. Tooth loss after active periodontal therapy. 1: patient-related factors for risk, prognosis, and quality of outcome. J Clin Periodontol. 2008;35:165–174. doi: 10.1111/j.1600-051X.2007.01184.x. [DOI] [PubMed] [Google Scholar]
  18. Farina R, Simonelli A, Rizzi A, Trombelli L. Effect of smoking status on pocket probing depth and bleeding on probing following non-surgical periodontal therapy. Minerva Stomatol. 2010;59:1–12. [PubMed] [Google Scholar]
  19. Fisher S, Kells L, Picard J-P, Gelskey SC, Singer DL, Lix L, Scott DA. Progression of periodontal disease in a maintenance population of smokers and non-smokers: a 3-year longitudinal study. J Periodontol. 2008;79:461–468. doi: 10.1902/jop.2008.070296. [DOI] [PubMed] [Google Scholar]
  20. Goodson JM, Haffajee AD, Socransky SS, Kent R, Teles R, Hasturk H, et al. Control of periodontal infections: a randomized controlled trial I. The primary outcome attachment gain and pocket depth reduction at treated sites. J Clin Periodontol. 2012;39:526–536. doi: 10.1111/j.1600-051X.2012.01870.x. [DOI] [PubMed] [Google Scholar]
  21. Gordon JS, Andrews JA, Albert DA, Crews KM, Payne TJ, Severson HH. Tobacco cessation via public dental clinics: results of a randomized trial. Am J Public Health. 2010;100:1307–1312. doi: 10.2105/AJPH.2009.181214. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Haffajee AD. Systemic antibiotics: to use or not to use in the treatment of periodontal infections. That is the question. J Clin Periodontol. 2006;33:359–361. doi: 10.1111/j.1600-051X.2006.00916.x. [DOI] [PubMed] [Google Scholar]
  23. Haffajee AD, Socransky SS. Relationship of cigarette smoking to attachment level profiles. J Clin Periodontol. 2001;28:283–295. doi: 10.1034/j.1600-051x.2001.028004283.x. [DOI] [PubMed] [Google Scholar]
  24. Heasman L, Stacey F, Preshaw PM, McCracken GI, Hepburn S, Heasman PA. The effect of smoking on periodontal treatment response: a review of clinical evidence. J Clin Periodontol. 2006;33:241–253. doi: 10.1111/j.1600-051X.2006.00902.x. [DOI] [PubMed] [Google Scholar]
  25. Heatherton TF, Kozlowski LT, Frecker RC, Fagerström KO. The Fagerström Test for Nicotine Dependence: a revision of the Fagerström Tolerance Questionnaire. Br J Addict. 1991;86:1119–1127. doi: 10.1111/j.1360-0443.1991.tb01879.x. [DOI] [PubMed] [Google Scholar]
  26. Huang C-L, Lin H-H, Wang H-H. Evaluating screening performances of the Fagerström tolerance questionnaire, the Fagerström Test for Nicotine Dependence and the heavy smoking index among Taiwanese male smokers. J Clin Nurs. 2008;17:884–890. doi: 10.1111/j.1365-2702.2007.02054.x. [DOI] [PubMed] [Google Scholar]
  27. Hughes FJ, Syed M, Koshy B, Marinho V, Bostanci N, McKay IJ, et al. Prognostic factors in the treatment of generalized aggressive periodontitis: I. Clinical features and initial outcome. J Clin Periodontol. 2006;33:663–670. doi: 10.1111/j.1600-051X.2006.00966.x. [DOI] [PubMed] [Google Scholar]
  28. Inoue G, Rosa EF, Gomes EF, Guglielmetti MR, Corraini P, Takano RK, et al. Predictors of smoking cessation in smokers with chronic periodontitis: a 24-month study. Braz Oral Res. 2016;30:e98. doi: 10.1590/1807-3107BOR-2016.vol30.0098. [DOI] [PubMed] [Google Scholar]
  29. Johnson GK, Guthmiller JM. The impact of cigarette smoking on periodontal disease and treatment. Periodontol 2000. 2007;44:178–194. doi: 10.1111/j.1600-0757.2007.00212.x. [DOI] [PubMed] [Google Scholar]
  30. König J, Plagmann H-C, Rühling A, Kocher T. Tooth loss and pocket probing depths in compliant periodontally treated patients: a retrospective analysis. J Clin Periodontol. 2002;29:1092–1100. doi: 10.1034/j.1600-051x.2002.291208.x. [DOI] [PubMed] [Google Scholar]
  31. Labriola A, Needleman I, Moles DR. Systematic review of the effect of smoking on nonsurgical periodontal therapy. Periodontol 2000. 2005;37:124–137. doi: 10.1111/j.1600-0757.2004.03793.x. [DOI] [PubMed] [Google Scholar]
  32. Lee Y-CA, Zugna D, Richiardi L, Merletti F, Marron M, Ahrens W, et al. Smoking addiction and the risk of upper-aerodigestive-tract cancer in a multicenter case-control study. Int J Cancer. 2013;133:2688–2695. doi: 10.1002/ijc.28288. [DOI] [PubMed] [Google Scholar]
  33. Leininger M, Tenenbaum H, Davideau J-L. Modified periodontal risk assessment score: long-term predictive value of treatment outcomes. A retrospective study. J Clin Periodontol. 2010;37:427–435. doi: 10.1111/j.1600-051X.2010.01553.x. [DOI] [PubMed] [Google Scholar]
  34. Leite FRM, Nascimento GG, Baake S, Pedersen LD, Scheutz F, López R. Impact of smoking cessation on periodontitis: A systematic review and meta-analysis of prospective longitudinal observational and interventional studies. Nicotine Tob Res. 2018 doi: 10.1093/ntr/nty147. [DOI] [PubMed] [Google Scholar]
  35. Martinelli E, Palmer RM, Wilson RF, Newton JT. Smoking behaviour and attitudes to periodontal health and quit smoking in patients with periodontal disease. J Clin Periodontol. 2008;35:944–954. doi: 10.1111/j.1600-051X.2008.01324.x. [DOI] [PubMed] [Google Scholar]
  36. Martinez-Canut P. Predictors of tooth loss due to periodontal disease in patients following long-term periodontal maintenance. J Clin Periodontol. 2015;42:1115–1125. doi: 10.1111/jcpe.12475. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Matuliene G, Pjetursson BE, Salvi GE, Schmidlin K, Brägger U, Zwahlen M, et al. Influence of residual pockets on progression of periodontitis and tooth loss: results after 11 years of maintenance. J Clin Periodontol. 2008;35:685–695. doi: 10.1111/j.1600-051X.2008.01245.x. [DOI] [PubMed] [Google Scholar]
  38. Meyer N, Vinzio S, Goichot B. Bayesian statistic: an approach fitted to clinic. Rev Med Interne. 2009;30:242–249. doi: 10.1016/j.revmed.2008.07.004. [DOI] [PubMed] [Google Scholar]
  39. Mutsvari T, Bandyopadhyay D, Declerck D, Lesaffre E. A multilevel model for spatially correlated binary data in the presence of misclassification: an application in oral health research. Stat Med. 2013;32:5241–5259. doi: 10.1002/sim.5944. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Nieva G, Valero S, Bruguera E, Andión Ó, Trasovares MV, Gual A, et al. The alternative five-factor model of personality, nicotine dependence and relapse after treatment for smoking cessation. Addict Behav. 2011;36:965–971. doi: 10.1016/j.addbeh.2011.05.008. [DOI] [PubMed] [Google Scholar]
  41. Nociti FH, Casati MZ, Duarte PM. Current perspective of the impact of smoking on the progression and treatment of periodontitis. Periodontol 2000. 2015;67:187–210. doi: 10.1111/prd.12063. [DOI] [PubMed] [Google Scholar]
  42. Oliveira Costa F, Miranda Cota LO, Pereira Lages EJ, Medeiros Lorentz TC, Soares Dutra Oliveira AM, et al. Progression of periodontitis in a sample of regular and irregular compliers under maintenance therapy: a 3-year follow-up study. J Periodontol. 2011;82:1279–1287. doi: 10.1902/jop.2011.100664. [DOI] [PubMed] [Google Scholar]
  43. Papantonopoulos GH. Effect of periodontal therapy in smokers and non-smokers with advanced periodontal disease: results after maintenance therapy for a minimum of 5 years. J Periodontol. 2004;75:839–843. doi: 10.1902/jop.2004.75.6.839. [DOI] [PubMed] [Google Scholar]
  44. Papapanou PN, Sanz M, Buduneli N, Dietrich T, Feres M, Fine DH, et al. Periodontitis: Consensus report of workgroup 2 of the 2017 World Workshop on the Classification of Periodontal and Peri-Implant Diseases and Conditions. J Periodontol. 2018;89(Suppl 1):S173–S182. doi: 10.1002/JPER.17-0721. [DOI] [PubMed] [Google Scholar]
  45. Preshaw PM, Heasman PA. Periodontal maintenance in a specialist periodontal clinic and in general dental practice. J Clin Periodontol. 2005;32:280–286. doi: 10.1111/j.1600-051X.2005.00659.x. [DOI] [PubMed] [Google Scholar]
  46. Ramseier CA, Mirra D, Schütz C, Sculean A, Lang NP, Walter C, et al. Bleeding on probing as it relates to smoking status in patients enrolled in supportive periodontal therapy for at least 5 years. J Clin Periodontol. 2015;42:150–159. doi: 10.1111/jcpe.12344. [DOI] [PubMed] [Google Scholar]
  47. Ramseier CA, Nydegger M, Walter C, Fischer G, Sculean A, Lang NP, et al. Time between recall visits and residual probing depths predict long-term stability in patients enrolled in supportive periodontal therapy. J Clin Periodontol. 2019;46:218–230. doi: 10.1111/jcpe.13041. [DOI] [PubMed] [Google Scholar]
  48. Rosa EF, Corraini P, de Carvalho VF, Inoue G, Gomes EF, Lotufo JPB, et al. A prospective 12-month study of the effect of smoking cessation on periodontal clinical parameters. J Clin Periodontol. 2011;38:562–571. doi: 10.1111/j.1600-051X.2011.01723.x. [DOI] [PubMed] [Google Scholar]
  49. Rosalem W, Rescala B, Teles RP, Fischer RG, Gustafsson A, Figueredo CM. Effect of non-surgical treatment on chronic and aggressive periodontitis: clinical, immunologic, and microbiologic findings. J Periodontol. 2011;82:979–989. doi: 10.1902/jop.2011.100579. [DOI] [PubMed] [Google Scholar]
  50. Salvi GE, Mischler DC, Schmidlin K, Matuliene G, Pjetursson BE, Brägger U, et al. Risk factors associated with the longevity of multi-rooted teeth. Long-term outcomes after active and supportive periodontal therapy. J Clin Periodontol. 2014;41:701–707. doi: 10.1111/jcpe.12266. [DOI] [PubMed] [Google Scholar]
  51. Saminsky M, Halperin-Sternfeld M, Machtei EE, Horwitz J. Variables affecting tooth survival and changes in probing depth: a long-term follow-up of periodontitis patients. J Clin Periodontol. 2015;42:513–519. doi: 10.1111/jcpe.12419. [DOI] [PubMed] [Google Scholar]
  52. Shimada S, Hasegawa K, Wada H, Terashima S, Satoh-Asahara N, Yamakage H, et al. High blood viscosity is closely associated with cigarette smoking and markedly reduced by smoking cessation. Circ J. 2011;75:185–189. doi: 10.1253/circj.cj-10-0335. [DOI] [PubMed] [Google Scholar]
  53. Slate EH, Hill EG. Discovering factors influencing examiner agreement for periodontal measures. Community Dent Oral Epidemiol. 2012;40(suppl 1):21–27. doi: 10.1111/j.1600-0528.2011.00662.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Söder B, Nedlich U, Jin LJ. Longitudinal effect of non-surgical treatment and systemic metronidazole for 1 week in smokers and non-smokers with refractory periodontitis: a 5-year study. J Periodontol. 1999;70:761–771. doi: 10.1902/jop.1999.70.7.761. [DOI] [PubMed] [Google Scholar]
  55. Spiegelhalter DJ, Myles JP, Jones DR, Abrams KR. Bayesian methods in health technology assessment: a review. Health Technol Assess. 2000;4:1–130. [PubMed] [Google Scholar]
  56. Stratul S-I, Sculean A, Rusu D, Didilescu A, Kasaj A, Jentsch H. Effect of smoking on the results of a chlorhexidine digluconate treatment extended up to 3 months after scaling and root planing-a pilot study. Quintessence Int. 2011;42:555–563. [PubMed] [Google Scholar]
  57. Theodoro LH, Assem NZ, Longo M, Alves MLF, Duque C, Stipp RN, et al. Treatment of periodontitis in smokers with multiple sessions of antimicrobial photodynamic therapy or systemic antibiotics: A randomized clinical trial. Photodiagnosis Photodyn Ther. 2018;22:217–222. doi: 10.1016/j.pdpdt.2018.04.003. [DOI] [PubMed] [Google Scholar]
  58. Tilloy E, Cottel D, Ruidavets J-B, Arveiler D, Ducimetière P, Bongard V, et al. Characteristics of current smokers, former smokers, and second-hand exposure and evolution between 1985 and 2007. Eur J Cardiovasc Prev Rehabil. 2010;17:730–736. doi: 10.1097/HJR.0b013e32833a9a0c. [DOI] [PubMed] [Google Scholar]
  59. Tomasi C, Leyland AH, Wennström JL. Factors influencing the outcome of non-surgical periodontal treatment: a multilevel approach. J Clin Periodontol. 2007;34:682–690. doi: 10.1111/j.1600-051X.2007.01111.x. [DOI] [PubMed] [Google Scholar]
  60. Tonetti MS, Claffey N. Advances in the progression of periodontitis and proposal of definitions of a periodontitis case and disease progression for use in risk factor research. Group C consensus report of the 5th European Workshop in Periodontology. J Clin Periodontol. 2005;32(suppl 6):210–213. doi: 10.1111/j.1600-051X.2005.00822.x. [DOI] [PubMed] [Google Scholar]
  61. Tonetti MS, Muller-Campanile V, Lang NP. Changes in the prevalence of residual pockets and tooth loss in treated periodontal patients during a supportive maintenance care program. J Clin Periodontol. 1998;25:1008–1016. doi: 10.1111/j.1600-051x.1998.tb02406.x. [DOI] [PubMed] [Google Scholar]
  62. Tu Y-K, Gilthorpe MS. Key statistical and analytical issues for evaluating treatment effects in periodontal research. Periodontol 2000. 2012;59:75–88. doi: 10.1111/j.1600-0757.2011.00431.x. [DOI] [PubMed] [Google Scholar]
  63. Wan CP, Leung WK, Wong MCM, Wong RMS, Wan P, Lo ECM, et al. Effects of smoking on healing response to non-surgical periodontal therapy: a multilevel modelling analysis. J Clin Periodontol. 2009;36:229–239. doi: 10.1111/j.1600-051X.2008.01371.x. [DOI] [PubMed] [Google Scholar]

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