Literature DB >> 20545716

Root caries risk indicators: a systematic review of risk models.

André V Ritter1, Daniel A Shugars, James D Bader.   

Abstract

OBJECTIVE: To identify risk indicators that are associated with root caries incidence in published predictive risk models.
METHODS: Abstracts (n = 472) identified from a MEDLINE, EMBASE, and Cochrane registry search were screened independently by two investigators to exclude articles not in English (n = 39), published prior to 1970 (none), or containing no information on either root caries incidence, risk indicators, or risk models (n = 209). A full-article duplicate review of the remaining articles (n = 224) selected those reporting predictive risk models based on original/primary longitudinal root caries incidence studies. The quality of the included articles was assessed based both on selected criteria of methodological standards for observational studies and on the statistical quality of the modeling strategy. Data from these included studies were extracted and compiled into evidence tables, with information about the cohort location, incidence period, sample size, age of the study participants, risk indicators included in the model, root caries incidence, modeling strategy, significant risk indicators/predictors, and parameter estimates and statistical findings.
RESULTS: Thirteen articles were selected for data extraction. The overall quality of the included articles was poor to moderate. Root caries incidence ranged from 12% to 77% (mean ± SD = 45 ± 17%); follow-up time of the published studies was ≤ 10 years (range = 9; median = 3); sample size ranged from 23-723 (mean ± SD = 264 ± 203; median = 261); person-years ranged from 23 to 1540 (mean ± SD = 760 ± 556; median = 746). Variables most frequently tested and significantly associated with root caries incidence were (times tested; % significant; directionality): baseline root caries (12; 58%; positive); number of teeth (7; 71%; three times positive, twice negative), and plaque index (4; 100%; positive). Ninety-two other clinical and nonclinical variables were tested: 27 were tested three times or more and were significant between 9% and 100% of the times tested; and 65 were tested but never significant.
CONCLUSIONS: The root caries incidence indicators/predictors most frequently reported were root caries prevalence at baseline, number of teeth, and plaque index. This finding can guide targeted root caries prevention. There was substantial variation among published models of root caries risk in terms of variable selection, sample size, cohort location, assessment methods, incidence periods, association directionality, and analytical techniques. Future studies should emphasize variables frequently tested and often significant, and validate existing models in independent databases.
© 2010 John Wiley & Sons A/S.

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Year:  2010        PMID: 20545716      PMCID: PMC2962697          DOI: 10.1111/j.1600-0528.2010.00551.x

Source DB:  PubMed          Journal:  Community Dent Oral Epidemiol        ISSN: 0301-5661            Impact factor:   3.383


  61 in total

1.  Prediction of root caries in periodontally treated patients maintained with different fluoride programmes.

Authors:  N Ravald; D Birkhed
Journal:  Caries Res       Date:  1992       Impact factor: 4.056

2.  Dental caries, restoration and tooth conditions in U.S. adults, 1988-1991. Selected findings from the Third National Health and Nutrition Examination Survey.

Authors:  L J Brown; D M Winn; B A White
Journal:  J Am Dent Assoc       Date:  1996-09       Impact factor: 3.634

3.  Evaluation of preventive treatment by risk of caries among 13-year-olds.

Authors:  S Varsio; M Vehkalahti
Journal:  Community Dent Oral Epidemiol       Date:  1996-08       Impact factor: 3.383

4.  Root caries incidence and associated risk factors in middle-aged and older adults.

Authors:  A Joshi; A S Papas; J Giunta
Journal:  Gerodontology       Date:  1993-12       Impact factor: 2.980

5.  Multifactorial modeling for root caries prediction: 3-year follow-up results.

Authors:  A Scheinin; K Pienihäkkinen; J Tiekso; S Holmberg; M Fukuda; A Suzuki
Journal:  Community Dent Oral Epidemiol       Date:  1994-04       Impact factor: 3.383

Review 6.  The epidemiology of root surface caries: North American studies.

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Journal:  Adv Dent Res       Date:  1993-07

7.  Caries-preventive effect of topical amine fluoride in children with high and low salivary levels of mutans streptococci.

Authors:  E Brambilla; M Gagliani; A Felloni; F García-Godoy; L Strohmenger
Journal:  Caries Res       Date:  1999 Nov-Dec       Impact factor: 4.056

8.  Ten-year incidence of dental caries in adult and elderly Chinese.

Authors:  W Luan; V Baelum; O Fejerskov; X Chen
Journal:  Caries Res       Date:  2000 May-Jun       Impact factor: 4.056

9.  Three-year root caries incidence and risk modeling in older adults in North Carolina.

Authors:  H P Lawrence; R J Hunt; J D Beck
Journal:  J Public Health Dent       Date:  1995       Impact factor: 1.821

10.  Tooth loss and chewing capacity among older adults in Adelaide.

Authors:  G D Slade; A J Spencer; K Roberts-Thomson
Journal:  Aust N Z J Public Health       Date:  1996-02       Impact factor: 2.939

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  21 in total

1.  Atraumatic restorative treatment and Carisolv use for root caries in the elderly: 2-year follow-up randomized clinical trial.

Authors:  J A Gil-Montoya; R Mateos-Palacios; M Bravo; M A González-Moles; R Pulgar
Journal:  Clin Oral Investig       Date:  2013-08-22       Impact factor: 3.573

2.  Association of root caries with oral habits in older individuals attending a rural health centre of a dental hospital in India.

Authors:  Jayanna Vinayaka Bharateesh; Ganganna Kokila
Journal:  J Clin Diagn Res       Date:  2014-11-20

Review 3.  Progress of statistical analysis in biomedical research through the historical review of the development of the Framingham score.

Authors:  Aleksandra Ignjatović; Miodrag Stojanović; Zoran Milošević; Marija Anđelković Apostolović
Journal:  Ir J Med Sci       Date:  2017-12-02       Impact factor: 1.568

4.  Risk indicators for the presence and extent of root caries among caries-active adults enrolled in the Xylitol for Adult Caries Trial (X-ACT).

Authors:  André V Ritter; John S Preisser; Yunro Chung; James D Bader; Daniel A Shugars; Bennett T Amaechi; Sonia K Makhija; Kimberly A Funkhouser; William M Vollmer
Journal:  Clin Oral Investig       Date:  2011-12-24       Impact factor: 3.573

5.  Application of machine learning for diagnostic prediction of root caries.

Authors:  Man Hung; Maren W Voss; Megan N Rosales; Wei Li; Weicong Su; Julie Xu; Jerry Bounsanga; Bianca Ruiz-Negrón; Evelyn Lauren; Frank W Licari
Journal:  Gerodontology       Date:  2019-07-05       Impact factor: 2.980

6.  Tooth-surface-specific effects of xylitol: randomized trial results.

Authors:  A V Ritter; J D Bader; M C Leo; J S Preisser; D A Shugars; W M Vollmer; B T Amaechi; J C Holland
Journal:  J Dent Res       Date:  2013-04-15       Impact factor: 6.116

7.  Correlates of root caries experience in middle-aged and older adults in the Northwest Practice-based REsearch Collaborative in Evidence-based DENTistry research network.

Authors:  Donald L Chi; Joel H Berg; Amy S Kim; JoAnna Scott
Journal:  J Am Dent Assoc       Date:  2013-05       Impact factor: 3.634

8.  Elderly at greater risk for root caries: a look at the multifactorial risks with emphasis on genetics susceptibility.

Authors:  Daniel Gati; Alexandre R Vieira
Journal:  Int J Dent       Date:  2011-07-06

Review 9.  Developing risk prediction models for type 2 diabetes: a systematic review of methodology and reporting.

Authors:  Gary S Collins; Susan Mallett; Omar Omar; Ly-Mee Yu
Journal:  BMC Med       Date:  2011-09-08       Impact factor: 8.775

10.  Assessment of oral health-related quality of life as a function of non-invasive treatment with high-fluoride toothpastes for root caries lesions in community-dwelling elderly.

Authors:  Soraya León; Miguel Rivera; Sebastián Payero; Gloria Correa-Beltrán; Fernando N Hugo; Rodrigo A Giacaman
Journal:  Int Dent J       Date:  2018-07-20       Impact factor: 2.607

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