Multifactorial modeling for root caries prediction: 3‐year follow‐up results

Scheinin, Arje; Pienihäkkinen, Kaisu; Tiekso, Jaakko; Holmberg, Svante; Fukuda, Masaomi; Suzuki, Atsushi

doi:10.1111/j.1600-0528.1994.tb01587.x

Cited by 43 publications

(48 citation statements)

References 18 publications

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“…Both studies reported a similar 2-year incidence of 36%. Two other risk models also showed that baseline root DFS was a highly significant predictor of 3-year RC incidence [Scheinin et al, 1994], and that the baseline RCI was significantly correlated with RC incidence [Powell et al, 1991].…”

Section: Root Caries Predictionmentioning

confidence: 88%

A Predictive Model for Root Caries Incidence

et al. 2016

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This study aimed to find the set of risk indicators best able to predict root caries (RC) incidence in caries-active adults utilizing data from the Xylitol for Adult Caries Trial (X-ACT). Five logistic regression models were compared with respect to their predictive performance for incident RC using data from placebo-control participants with exposed root surfaces at baseline and from two study centers with ancillary data collection (n = 155). Prediction performance was assessed from baseline variables and after including ancillary variables [smoking, diet, use of removable partial dentures (RPD), toothbrush use, income, education, and dental insurance]. A sensitivity analysis added treatment to the models for both the control and treatment participants (n = 301) to predict RC for the control participants. Forty-nine percent of the control participants had incident RC. The model including the number of follow-up years at risk, the number of root surfaces at risk, RC index, gender, race, age, and smoking resulted in the best prediction performance, having the highest AUC and lowest Brier score. The sensitivity analysis supported the primary analysis and gave slightly better performance summary measures. The set of risk indicators best able to predict RC incidence included an increased number of root surfaces at risk and increased RC index at baseline, followed by white race and nonsmoking, which were strong nonsignificant predictors. Gender, age, and increased number of follow-up years at risk, while included in the model, were also not statistically significant. The inclusion of health, diet, RPD use, toothbrush use, income, education, and dental insurance variables did not improve the prediction performance.

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Section: Root Caries Predictionmentioning

confidence: 88%

A Predictive Model for Root Caries Incidence

et al. 2016

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“…A previously developed multifactorial model for root caries prediction [Scheinin et al, 1992[Scheinin et al, , 1994 showed that the highest predictive value for root caries increment came from the combination of past root caries experience, visible plaque, and high numbers of candida and LB in stimulated whole saliva. When salivary flow rate, SM and LB counts, old age and male gender were included, our log-linear model explained 54% of the variation in the occurrence of DRS.…”

Section: Discussionmentioning

confidence: 99%

Salivary Findings, Daily Medication and Root Caries in the Old Elderly

et al. 1997

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Root caries is one of the main dental problems among the dentate old elderly. The aim of our study was to evaluate the occurrence of root caries in 196 dentate elderly (mean age 79.3) in relation to their salivary flow rate, buffering capacity and salivary microbial counts. These subjects participated in the oral health component of the Helsinki Aging Study in 1990–1991. Clinical oral examinations included assessment of the state of root surfaces and salivary flow rates, both paraffin-wax-stimulated and unstimulated. Salivary buffering capacity and the growth of salivary mutans streptococci, lactobacilli and yeasts were determined by means of commercially available kits. Root caries occurred in 52% of men and in 35% of women (p < 0.05). Number of decayed (DRS) and decayed or filled (DFRS) root surfaces correlated (r = 0.16 to 0.26) with salivary microbial counts. No correlation appeared between DRS and subjects’ salivary flow rates. Basic estimates on the association between DRS and salivary findings showed that microbial counts only produced significant odds ratios, from 2.0 to 3.5. However, in a log-linear model high salivary mutans streptococci and yeast counts together with male gender were associated with greater occurrence of root caries.

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“…A predictive power of the level of bacteria from the S.m. group in the saliva as a single predictor is generally weak (Scheinin et al 1994). The positive predictive value may also be adversely affected by low caries experience (Beck 1990).…”

Section: Streptococcus Mutans Groupmentioning

confidence: 98%

“…The positive predictive value may also be adversely affected by low caries experience (Beck 1990). However, the caries predictive power increases when these tests are included in multifactorial models for caries prediction (Leverett et al 1993;Bratthall and Hänsel Petersson 2005;Tamaki et al 2009;Scheinin et al 1994). Table V provides the summated values of sensitivity, specificity and predictive values of POC tests for detection of salivary S.m.…”

Section: Streptococcus Mutans Groupmentioning

confidence: 99%

Point-of-care salivary microbial tests for detection of cariogenic species — Clinical relevance thereof — review

2010

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Dental caries is a highly prevalent multifactorial disease that can result in serious health impairment. It was shown that oral bacteria play a significant role in caries development. Point-of-care (POC) salivary microbial tests for detection of cariogenic species have been investigated as a potential tool for caries risk assessment. This review aims to evaluate clinical relevance of these tests in the light of recent scientific evidence. Methodology involved PubMed search using key words salivary microbial tests, cariogenic bacteria and caries risk prediction. Articles obtained by the search were cross-referenced to obtain further sources. Specificity and negative-predictive value of these tests are higher than their sensitivity and positive value. Predictive power of the POC salivary microbial tests as a single predictor is generally weak, although it increases when included in multifactorial models for caries prediction. Literature findings support the use of these tests for screening of at-risk individuals in a population of young preschool children without visible caries and for motivation of subjects on individual level. POC salivary microbial tests are simple and inexpensive and, therefore, may be advantageous from public health perspective.

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Multifactorial modeling for root caries prediction: 3‐year follow‐up results

Cited by 43 publications

References 18 publications

A Predictive Model for Root Caries Incidence

A Predictive Model for Root Caries Incidence

Salivary Findings, Daily Medication and Root Caries in the Old Elderly

Point-of-care salivary microbial tests for detection of cariogenic species — Clinical relevance thereof — review

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