Prediction of root surface caries in patients treated for advanced periodontal disease

Ravald, Nils; Hamp, Sven‐Erik

doi:10.1111/j.1600-051x.1981.tb00889.x

Cited by 99 publications

(69 citation statements)

References 17 publications

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“…It must be pointed out that the philosophy behind the Cariogram is already in line with these proposals. The idea of using several risk factors together is of course not new [Keyes, 1962;Rundegren and Ericson, 1978;Klock and Krasse, 1979;Ravald and Hamp, 1981;Nyman et al, 1984;Krasse, 1985;Kumagai et al, 1996]. However, the unique property of the Cariogram is that each factor, in each constellation, is 'weighted' for its cumulative input, not just added.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of a Computer Program for Caries Risk Assessment in Schoolchildren

2002

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The ‘Cariogram’ is an interactive PC program for caries risk evaluation. It takes into account the interactions between caries-related factors and expresses a graphic assessment of the risk. The aim of this study was to assess the caries risk in schoolchildren using the Cariogram and to evaluate the program by comparing the caries risk assessments with the actual change in DMF. A 2-year prospective study on 446 schoolchildren, 10–11 years old, was conducted. At baseline, data on general health, diet, oral hygiene and use of fluoride were obtained. Saliva analyses included mutans streptococci and lactobacilli counts, buffer capacity and secretion rate. DMFT and DMFS were calculated from records and bitewing radiographs. Scores were entered and caries risk was assessed. Re-examination for caries was done after 2 years. The children were divided into 5 groups according to the assessed caries risk at baseline. Where the Cariogram predicted a 0–20% (high risk), 21–40%, 41–60%, 61–80% and 81–100% (low risk) chance of avoiding new lesions, 8, 35, 42, 73 and 83%, respectively, had no new lesions 2 years later. Logistic regression analyses were carried out. When the Cariogram was included, only two factors, the Cariogram (p < 0.001) and the DMFS at baseline, i.e. past caries experience (p = 0.001), turned out to be significantly associated with caries increment. The Cariogram was the most powerful explanatory variable. When the Cariogram was excluded, lactobacillus count, mutans streptococci, diet intake frequency and DMFS at baseline were significantly associated with caries increment. The Cariogram predicted caries increment more accurately than any included single-factor model. How this finding can be translated into daily practice in the best and most practical way is a matter for future research.

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Section: Discussionmentioning

confidence: 99%

Evaluation of a Computer Program for Caries Risk Assessment in Schoolchildren

2002

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“…The prevalence of root caries has been found to be high in patients with untreated or treated periodontal disease [Hix and O'Leary, 1976;Ravald and Hamp, 1981;Keltjens et al" 1988], We recently reported that approximately 50% of patients referred for periodontal treatment showed one or more clinically active root caries lesions [Ravald and Birkhed, 1991], Longitudinal studies of root caries have been carried out in different populations : Ripa et al, 1987Hand et al, 1988]. In periodontally treated patients, only a few incidence studies on root car ies have been reported [Ravald and Hamp, 1981;Ravald et al.…”

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confidence: 99%

Prediction of Root Caries in Periodontally Treated Patients Maintained with Different Fluoride Programmes

Ravald¹,

Birkhed²

1992

Caries Res

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The aims of the investigation were to evaluate the effect of diÿerent fluoride programmes, as adjuncts to professional plaque control every 3–4 months, on root caries incidence in periodontally treated patients and to identify risk factors for root caries development. Ninety-nine individuals, 33–76 years old, who had been treated for periodontal disease were subjected to one of three fluoride programmes during a 2-year period: (1) professional application, 3-4 times/year, of Duraphat® (n = 34) or (2) of a 0.4% stannous fluoride gel (n = 33), or (3) daily mouthrinsing with a 0.05% sodium fluoride solution (n = 32). A number of clinical recordings and laboratory tests, used as presumptive risk indicators for root caries, were carried out before and on three different occasions after the periodontal treatment. No statistically significant differences were found between the various fluoride programmes. During the 2-year period, a total of 246 new decayed or filled surfaces (DFS) were recorded, 72 (29.3%) of which were diagnosed as active and 124 (50.4%) as inactive root caries lesions; 50 (20.3%) of the surfaces had been restored. Individuals with ≥ 1 new root DFS during the 2 years (n = 50) differed significantly from those with 0 new root DFS (n = 49) as concerns salivary counts of mutans streptococci and lactobacilli, root plaque scores and percentage of exposed root surfaces. Baseline root caries prevalence (r = 0.43) and root plaque scores (r = 0.36) showed the highest correlations with new root DFS. By stepwise multiple regression analysis, it was shown that these two variables contributed significantly to the variance of root caries incidence (new DFS) during the 2-year period. Smokers had a significantly higher root caries prevalence at baseline and higher root caries incidence during the study than non-smokers.

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“…According to epidemiologic studies, root caries is prevalent among patients with treated and untreated periodontal disease. 22,23 Therefore, professional fluoride application is recommended to prevent root caries. Topical fluoride agents such as stannous fluoride (SnF2), NaF, and APF are used in the professional fluoride application procedure.…”

Section: Discussionmentioning

confidence: 99%

Effect of fluoride-containing gel on the roughness of a titanium surface and the promotion of bacterial growth

Kim

Lee

Chang

et al. 2016

Journal of Dental Rehabilitation and Applied Science

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Purpose: The aim of this study was to evaluate whether fluorides at various pH cause changes in the surface roughness of titanium implants that alter the adherence of bacterial biofilms. Materials and Methods: The titanium disks were assigned randomly to the following seven groups according to the fluoride agents and application time (1 minute or 30 minute) used: control (no treatment); group 1 (1.23% acidulated phosphate fluoride [APF] at pH 3.5 for 1 minute); group 2 (1.23% APF at pH 3.5 for 30 minute); group 3 (1.23% APF at pH 4.0 for 1 minute); group 4 (1.23% APF at pH 4.0 for 30 minute); group 5 (2% NaF gel at pH 7.0 for 1 minute); group 6 (2% NaF gel at pH 7.0 for 30 minute). The surface roughness of the titanium disks and the amount of adherent bacteria were measured. Results: Group 2 showed a significantly greater surface roughness than the control group (P < 0.0001). No significant differences in the amount of surface bacteria were observed between the treated samples and the controls. In addition, there were no significant differences in bacterial adherence relative to the incubation period between the treated samples and the controls. Conclusion:The surface roughness of the titanium disks was significantly greater after treatment with APF at pH 3.5 for 30 min compared with that of the controls. In addition, we found that the amount of Porphyromonas gingivalis, Fusobacterium nucleatum, and Aggregatibactor actinomycetemcomitans was similar among all groups (J Dent Rehabil Appl Sci 2016;32(1):16-23)

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Prediction of root surface caries in patients treated for advanced periodontal disease

Cited by 99 publications

References 17 publications

Evaluation of a Computer Program for Caries Risk Assessment in Schoolchildren

Evaluation of a Computer Program for Caries Risk Assessment in Schoolchildren

Prediction of Root Caries in Periodontally Treated Patients Maintained with Different Fluoride Programmes

Effect of fluoride-containing gel on the roughness of a titanium surface and the promotion of bacterial growth

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