36 research outputs found

    Fluorescence devices for the detection of dental caries

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    BACKGROUND: Caries is one of the most prevalent and preventable conditions worldwide. If identified early enough then non‐invasive techniques can be applied, and therefore this review focusses on early caries involving the enamel surface of the tooth. The cornerstone of caries detection is a visual and tactile dental examination, however alternative methods of detection are available, and these include fluorescence‐based devices. There are three categories of fluorescence‐based device each primarily defined by the different wavelengths they exploit; we have labelled these groups as red, blue, and green fluorescence. These devices could support the visual examination for the detection and diagnosis of caries at an early stage of decay. OBJECTIVES: Our primary objectives were to estimate the diagnostic test accuracy of fluorescence‐based devices for the detection and diagnosis of enamel caries in children or adults. We planned to investigate the following potential sources of heterogeneity: tooth surface (occlusal, proximal, smooth surface or adjacent to a restoration); single point measurement devices versus imaging or surface assessment devices; and the prevalence of more severe disease in each study sample, at the level of caries into dentine. SEARCH METHODS: Cochrane Oral Health's Information Specialist undertook a search of the following databases: MEDLINE Ovid (1946 to 30 May 2019); Embase Ovid (1980 to 30 May 2019); US National Institutes of Health Ongoing Trials Register (ClinicalTrials.gov, to 30 May 2019); and the World Health Organization International Clinical Trials Registry Platform (to 30 May 2019). We studied reference lists as well as published systematic review articles. SELECTION CRITERIA: We included diagnostic accuracy study designs that compared a fluorescence‐based device with a reference standard. This included prospective studies that evaluated the diagnostic accuracy of single index tests and studies that directly compared two or more index tests. Studies that explicitly recruited participants with caries into dentine or frank cavitation were excluded. DATA COLLECTION AND ANALYSIS: Two review authors extracted data independently using a piloted study data extraction form based on the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS‐2). Sensitivity and specificity with 95% confidence intervals (CIs) were reported for each study. This information has been displayed as coupled forest plots and summary receiver operating characteristic (SROC) plots, displaying the sensitivity‐specificity points for each study. We estimated diagnostic accuracy using hierarchical summary receiver operating characteristic (HSROC) methods. We reported sensitivities at fixed values of specificity (median 0.78, upper quartile 0.90). MAIN RESULTS: We included a total of 133 studies, 55 did not report data in the 2 x 2 format and could not be included in the meta‐analysis. 79 studies which provided 114 datasets and evaluated 21,283 tooth surfaces were included in the meta‐analysis. There was a high risk of bias for the participant selection domain. The index test, reference standard, and flow and timing domains all showed a high proportion of studies to be at low risk of bias. Concerns regarding the applicability of the evidence were high or unclear for all domains, the highest proportion being seen in participant selection. Selective participant recruitment, poorly defined diagnostic thresholds, and in vitro studies being non‐generalisable to the clinical scenario of a routine dental examination were the main reasons for these findings. The dominance of in vitro studies also means that the information on how the results of these devices are used to support diagnosis, as opposed to pure detection, was extremely limited. There was substantial variability in the results which could not be explained by the different devices or dentition or other sources of heterogeneity that we investigated. The diagnostic odds ratio (DOR) was 14.12 (95% CI 11.17 to 17.84). The estimated sensitivity, at a fixed median specificity of 0.78, was 0.70 (95% CI 0.64 to 0.75). In a hypothetical cohort of 1000 tooth sites or surfaces, with a prevalence of enamel caries of 57%, obtained from the included studies, the estimated sensitivity of 0.70 and specificity of 0.78 would result in 171 missed tooth sites or surfaces with enamel caries (false negatives) and 95 incorrectly classed as having early caries (false positives). We used meta‐regression to compare the accuracy of the different devices for red fluorescence (84 datasets, 14,514 tooth sites), blue fluorescence (21 datasets, 3429 tooth sites), and green fluorescence (9 datasets, 3340 tooth sites) devices. Initially, we allowed threshold, shape, and accuracy to vary according to device type by including covariates in the model. Allowing consistency of shape, removal of the covariates for accuracy had only a negligible effect (Chi(2) = 3.91, degrees of freedom (df) = 2, P = 0.14). Despite the relatively large volume of evidence we rated the certainty of the evidence as low, downgraded two levels in total, for risk of bias due to limitations in the design and conduct of the included studies, indirectness arising from the high number of in vitro studies, and inconsistency due to the substantial variability of results. AUTHORS' CONCLUSIONS: There is considerable variation in the performance of these fluorescence‐based devices that could not be explained by the different wavelengths of the devices assessed, participant, or study characteristics. Blue and green fluorescence‐based devices appeared to outperform red fluorescence‐based devices but this difference was not supported by the results of a formal statistical comparison. The evidence base was considerable, but we were only able to include 79 studies out of 133 in the meta‐analysis as estimates of sensitivity or specificity values or both could not be extracted or derived. In terms of applicability, any future studies should be carried out in a clinical setting, where difficulties of caries assessment within the oral cavity include plaque, staining, and restorations. Other considerations include the potential of fluorescence devices to be used in combination with other technologies and comparative diagnostic accuracy studies

    Short-term improvement in oral self-care of adolescents with social-cognitive theory-guided intervention

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    Quality assurance in intermediate Minor Oral Surgery commissioning: using a practical skills exercise as part of the accreditation of performers

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    A model of accreditation for dentists with a special interest (DwSIs) in minor oral surgery (MOS) was developed when commissioning a new MOS service. The aim of accreditation was to ensure quality in the service provided by performers. The integrated assessment of prospective performers included an interview, review of evidence of experience, a practice inspection and a practical skills exercise (PSE). Success in the accreditation process was contingent on success in all four parts. This paper focuses on the delivery and utility of the PSE. Prospective performers were asked to complete two simulated MOS exercises on pig jaws, which were assessed according to national criteria.1 </jats:p

    Dental Discomfort Questionnaire: its use with children with a learning disability

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    This study investigated whether the behaviors from the Dental Discomfort Questionnaire (DDQ) could help identify toothaches in children with a learning disability, who have a limited capacity to self-report. The objectives were to examine whether the behaviors from the DDQ occur more often in children with a learning disability who have caries and a toothache than in children who do not have caries and a toothache; and secondly, to examine whether two additional items increase the specificity and sensitivity of the DDQ to recognize a toothache, in this particular population of children with a learning disability. The DDQ was completed by a convenience sample of 58 parents on behalf of their children: 31% girls, aged between 6 and 13 years (mean = 7.5, SD = 2.7). Of the total group, 26% (n = 15) suffered from a toothache and 43% (n = 25) had carious teeth. Children with caries and a toothache had a significantly higher mean DDQ score and displayed more toothache-related behaviors (e.g., problems with chewing, problems with brushing teeth) than children without caries or toothache. The DDQ seems to be a functional and easy-to-use instrument to alert parents to the presence of a toothache in this specific group of children with a learning disability

    Dental discomfort questionnaire:its use with children with a learning disability

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    This study investigated whether the behaviors from the Dental Discomfort Questionnaire (DDQ) could help identify toothaches in children with a learning disability, who have a limited capacity to self-report. The objectives were to examine whether the behaviors from the DDQ occur more often in children with a learning disability who have caries and a toothache than in children who do not have caries and a toothache; and secondly, to examine whether two additional items increase the specificity and sensitivity of the DDQ to recognize a toothache, in this particular population of children with a learning disability. The DDQ was completed by a convenience sample of 58 parents on behalf of their children: 31% girls, aged between 6 and 13 years (mean = 7.5, SD = 2.7). Of the total group, 26% (n = 15) suffered from a toothache and 43% (n = 25) had carious teeth. Children with caries and a toothache had a significantly higher mean DDQ score and displayed more toothache-related behaviors (e.g., problems with chewing, problems with brushing teeth) than children without caries or toothache. The DDQ seems to be a functional and easy-to-use instrument to alert parents to the presence of a toothache in this specific group of children with a learning disability

    A qualitative study of the views of adolescents on their caries risk and prevention behaviours

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    BACKGROUND: The purpose of this study was to explore the attitudes and beliefs of adolescents towards dental caries and their use or non-use of caries prevention regimens. METHODS: Adolescents aged 16 years from four state-funded secondary schools in North West of England (n = 19). Purposive sampling strategically selected participants with characteristics to inform the study aims (gender, ethnicity, and caries status). Semi-structured interviews were transcribed verbatim and analysed using a framework approach. RESULTS: 14 codes within five overarching themes were identified: "Personal definition and understanding of oral health"; "Knowledge of oral health determinants"; "Influences on oral health care"; Reason for oral health behaviours"; and "Oral health in the future". Adolescents conceptualise oral health as the absence of oral pathology and the ability to function, which included an aesthetic component. Appearing to have healthy teeth was socially desirable and equated with positive self-image. The dominant influence over oral health behaviours was habitual practice encouraged by parents from a young age, with limited reinforcement at school or by dental practices. At this transitional age, participants recognised the increasing influence of peers over health behaviours. Self-efficacy pertained to diet modification (reduction in sugar-ingestion) and oral hygiene behaviour (tooth-brushing). A lack of understanding of caries aetiology was evident. Behaviours were mitigated by a lack of environmental support; and a desire for immediate gratification often overcame attempts at risk-reducing behaviour. CONCLUSIONS: Parents primarily influence the habitual behaviours of adolescents. With age, the external environment (availability of sugar and peers) has an increasing influence on behaviour. This suggests that to improve adolescent health, oral health promoters should engage with parents from early childhood and create supportive environments including public policy on sugar availability to encourage uptake of risk-minimising behaviours

    Longitudinal study of caries development from childhood to adolescence

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    Introduction: The World Health Organization (WHO) has concluded that globally, dental caries is the most important oral condition. To develop effective prevention strategies requires an understanding of how this condition develops and progresses over time, but there are few longitudinal studies of caries onset and progression in children. Methods: The aim of the study was to establish the pattern of caries development from childhood into adolescence and to explore the role of potential risk factors (age, gender, ethnicity and social deprivation). Of particular interest was the disease trajectory of dentinal caries in the permanent teeth in groups defined by the presence or absence of dentinal caries in the primary teeth. Intra-oral examinations to assess oral health were performed at four time points by trained and calibrated dentist examiners using a standardized, national diagnostic protocol. Results: Clinical data were available from 6651 children. Mean caries prevalence (% D3MFT&gt;0) was 16.7% at the first clinical examination (ages 7 to 9) increasing to 31.0%, 42.2% and 45.7% at subsequent examinations. A population-averaged model (generalized estimating equations) was used to model the longitudinal data. Estimated mean values indicated a rising D3MFT count as pupils aged (consistent with new teeth emerging) which was significantly higher (4.49 times, 95% CI 3.90 to 5.16) in those pupils with caries in their primary dentition than in those without. Conclusion: This study is one of the few large longitudinal studies to report the development of dental caries from childhood into adolescence. Children who developed caries in their primary dentition had a very different caries trajectory in their permanent dentition compared to their caries free contemporaries. In light of these results, caries free and caries active children should be considered as two separate populations, suggesting different prevention strategies are required to address their different risk profiles
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