Cost-effectiveness of caries excavations in different risk groups − a micro-simulation study
© Schwendicke et al.; licensee BioMed Central. 2014
Received: 6 October 2014
Accepted: 11 December 2014
Published: 15 December 2014
Whilst being the most prevalent disease worldwide, dental caries is increasingly concentrated in high-risk populations. New caries treatments should therefore be evaluated not only in terms of their cost-effectiveness in individuals, but also their effects on the distribution of costs and benefits across different populations. To treat deep caries, there are currently three strategies: selective (one-step incomplete), stepwise (two-step incomplete) and complete excavation. Building on prior research that found selective excavation generally cost-effective, we compared the costs-effectiveness of different excavations in low- and high-risk patients, hypothesizing that selective excavation had greater cost-effectiveness-advantages in patients with high compared with low risk.
An average tooth-level Markov-model was constructed following the posterior teeth in an initially 18-year old male individual, either with low or high risk, over his lifetime. Risk was assumed to be predicted by several parameters (oral hygiene, social position, dental service utilization), with evidence-based transition probabilities or hazard functions being adjusted for different risk status where applicable. Total lifetime treatment costs were estimated for German healthcare, with both mixed public-private and only private out-of-pocket costs being calculated. For cost-effectiveness-analysis, micro-simulations were performed and joint parameter uncertainty introduced by random sampling of probabilities. Cohort analyses were used for assessing the underlying reasons for potential differences between strategies and populations.
Selective excavation was more effective and less costly than both alternatives regardless of an individual’s risk. All three strategies were less effective and more costly in patients with high compared with low risk, whilst the differences between risk groups were smallest for selective excavation. Thus, the cost-effectiveness-advantages of selective excavation were more pronounced in high-risk groups, who also benefitted the most from reduced private out-of-pocket treatment costs.
Whilst caries excavation does not tackle the underlying sources for both the development of caries lesions and the potential differences of individuals’ risk status, selective excavation seems most suitable to treat deep lesions, especially in patients with high risk, who over-proportionally benefit from the resulting health-gains and cost-savings.
KeywordsCaries Dental Caries removal Incomplete Partial Inequality Caries risk Health economics
Oral conditions affect 3.9 billion people globally, and untreated caries is the most prevalent disease worldwide, with an increasing concentration in high-risk populations [1, 2]. Considering the skewed prevalence of dentinal and, even more so, deep pulpo-proximal caries lesions across risk-groups [3, 4], any treatment strategy for these lesions should be evaluated not just regarding its patient-level clinical efficacy or its initial or long-term costs, but also its effect on the distribution of health benefits and costs between populations: As has been shown for other therapies, better treatments might increase the overall societal health, whilst increasing the unequal distribution of health between different populations within a society . Similarly, many innovations in dentistry have been found to improve merely the health of those fortunate enough to have only limited treatment needs, whilst society generally wishes to prioritize the development of new treatments that alleviate the greater disease burden among those most at risk , in line with John Rawls’ theory of justice . Behind a Rawlsian veil of ignorance about whether one will be in a high- or low-risk population, the theory implies that people would prioritize resources to minimize the greater expected burden of those in the high-risk population.
Deep caries lesions are usually treated by complete removal of carious dentin and restoration of the resulting cavity. This treatment often initiates a cascade of re-interventions, thereby compromising both the vitality of the pulp and the retention of the tooth . Incomplete excavation of deep lesions was shown to reduce the risks of pulpal exposure and post-operative pulpal complications [8, 9], and seems suitable to delay or avoid this cascade of re-treatments. Such incomplete caries removal can be performed stepwise, with residual caries being left under a temporary excavation after the first step, followed by complete excavation in a second step. Alternatively, selective excavation can be performed, omitting the second, re-entry step and sealing the caries-affected dentin in proximity to the pulp under a definitive restoration, with an adequate seal leading to arrest and remineralization of the caries lesion [10–13]. Such selective excavation does not bear the risk of pulpal exposure at the second excavation step and was shown to reduce post-operative pulpal complications compared with two-step and complete caries removal [8, 13, 14]. Besides being clinically effective in retaining teeth and their vitality for longer, selective excavation was shown to be cost-effective as well, with significantly reduced long-term costs .
It remains unknown which strategy might be best suited to address the described gradient in the distribution of deep caries lesions. Demonstrating that a strategy has not only clinical advantages, but also reduces the inequality in health outcomes between groups, disrupting or weakening the link between having a high risk for developing caries and experiencing a high burden of disease and re-treatments, might be an additional argument supporting change. Model-based studies attempting such comparisons have been performed before, but are uncommon in dentistry – whilst there is a growing consensus that novel diagnostic or therapeutic strategies should also be evaluated regarding their effects on cost- and health-distributions between different risk or social groups [1, 5].
The present study analysed the cost-effectiveness of the described three excavation strategies in individuals with different risks, and explored the long-term impact of caries removal on the distribution of health. We hypothesized that selective excavation has greater cost-effectiveness-advantages over alternative treatments in patients with high compared with low risk, and additionally assessed the absolute and relative magnitude of the described cost-effectiveness differences between strategies and populations.
Populations, settings, perspective, time horizons and comparisons
We compared the cost-effectiveness of three interventions (selective, stepwise, complete caries removal) in the context of German healthcare, using a mixed public-private payer perspective as is characteristic for Germany. All posterior teeth in individuals from a low- or high-risk group were modelled over the lifetime of a male German patient initially aged 18 years with a remaining life expectancy of 60 years . Note that “risk” was used to describe an overall result of various risk factors or predictors, i.e. oral hygiene, social position, dental service utilization, and that our study did not aim to comparatively quantify the effects of different risk factors. Risk groups were thus constructed based on the combined effects of various risk factors, with different studies using different measures to describe risk, and different cut-offs to discriminate risk groups.
We evaluated the lifetime costs (in Euro) generated by initial and follow-up dental treatments. As health outcome, the average retention time of a posterior tooth (maximum: 60 years) was assessed.
Model and assumptions
Separate transition probabilities for each risk group were extracted from the literature. We searched for evidence supporting a risk-dependent utilization of dental services, development of a dentinal caries lesion, need to re-treat directly capped pulps, composite restorations, crowns or root-canal treated teeth via screening of one electronic database (PubMed). We found evidence for risk-dependent probabilities for dental service utilization, development of dentinal caries lesions, and re-treatment of composite restorations.
Transition probabilities of sound to carious surfaces in posterior teeth (excluding third molars) were extracted from long-term data from New Zealand [17–19]. Note that we used tooth-, not surface-level data, since follow-up health states (fillings, crowns, root-canal treatments) cannot be modelled based on surfaces, but teeth. Thus, we assumed that the first carious surface – regardless if located occlusally or proximally – determined the long-term fate of the tooth. We acknowledge that this might underestimate total treatment costs, since several surfaces on one tooth might initially receive separate treatments. Data from the 10%- and 90%-trajectories were used to estimate age-dependent per-cycle hazards of developing a carious surface in low- and high-risk individuals, respectively. Transition probabilities per cycle were linearized using the exponential function and then regressed on patients’ age by means of ordinary least squares to calculate transformed age-dependent hazard functions for explorative long-term modelling beyond the reported data frame.
Transition probabilities during or after initial caries removal were based on systematic reviews [8, 14] and had been estimated previously . There was no data available for estimating risk-group dependent need to re-treat differently excavated teeth. Thus, transition probabilities of selectively, stepwise or completely excavated teeth did not differ according to risk groups. Transition probabilities for follow-up stages (direct pulpal cappings, root-canal treatments, composite restorations, crowns, implant-supported crowns) have been described elsewhere , as have allocation probabilities. Note that the assumption of 95% of teeth with pulpal complications being root-canal treated might be desirable, but not presenting current reality . We performed sensitivity analyses to check the impact of this uncertainty. Follow-up transition probabilities were risk-group adjusted only for composite restorations, using synthesized effect estimates stemming from a random-effects meta-analysis of data reported by three different studies [21–23].
Costs, currency and discount rate
The model adopted a mixed public-private-payer perspective characteristic for German healthcare. Estimation of costs was performed as described elsewhere . Briefly, calculations were based on item-fee catalogues of the statutory public and the private insurance, and standard factoring (×2.3) of chargeable item-points used to determine costs of private treatment. Total costs per course of treatment were calculated after quantification of itemized costs. We calculated total costs as well as privately covered, out-of-pocket expenses in Euro. Future costs were discounted at 3% per year . No such discounting was performed for effectiveness, as a non-monetary measure was used, and interpretation of discounted retention time is not intuitional. In addition, it remains uncertain why and at what rate such discounting should be performed. Previous analyses, with which the results of this study should be compared, also did not perform effectiveness discounting [15, 25].
with λ being the ceiling thresholds of willingness to pay, i.e. the additional costs a decision maker is willing to sacrifice for gaining an additional unit of effectiveness, i.e. an additional year of tooth retention . The probability of a strategy to yield the highest net benefit (NB) was then calculated for λ = 0, i.e. strategies were compared only regarding their cost-difference. Moreover, we constructed cost-acceptability curves by plotting cost-effectiveness-probabilities against different ceiling thresholds. Finally, we performed sensitivity analyses to examine the impact of varying patients’ age, the used discount rate, the number of surfaces of the initial restoration and the probability of root-canal treatment or extraction being performed in case of pulpal complications.
Input variables for different risk groups
Disease burden low risk
Disease burden high risk
Number of decayed teeth at age 18
Number of filled teeth at age 18
Number of missing teeth at age 18
Probability (p) low risk
Probability (p) high risk
Development of a dentinal caries lesion
p = 0.1694e-0.155a
p = 198.111e-0.414a
No utilization of dental services
p = −0.0074a2 + 1.0156a + 11.318
p = −0.0282a2 + 2.4366a + 11.570
Progression of a lesion if untreated
p = 0.014
p = 0.43
Failure of a composite restoration
p (range) = 0.0081 - 0.0094
OR (95% CI) = 2.76 (2.01-3.79)*
Cost-effectiveness of different excavation strategies in individuals with different risks
Mean (SD) tooth retention time in years
Total lost teeth
Mean (SD) costs per tooth in Euro
Probability highest net-benefit (%)
Mean (SD) total private costs for all posterior teeth in Euro
Probability highest net-benefit (%)
There is broad evidence for a polarization of caries prevalence and experience across different populations, with a decreasing percentage of (high-risk) patients showing an increasing number of carious teeth and treatment needs [1, 4, 30]. Whilst dentistry should certainly focus on upstream approaches to tackle this problem  our results indicate that changing interventions more downstream could also have an impact on the resulting health outcomes, especially for those with high needs: Whilst for individuals with few lesions, low caries incidence, low progression rates and regular attendance, different strategies for treating deep lesions might not make a great difference regarding long-term tooth retention and costs – since they do not have a lot of teeth reaching the state of deep lesions –, those with many lesions, which swiftly progress and are detected only in late stages, seem to benefit over-proportionally from performing selective instead of alternative excavations. Thus, changing the caries excavation strategy might also help to break the cycle between having many lesions and experiencing a high burden of follow-up treatments. Such change would be easy, as selective instead of complete excavation does not require the dentist to acquire completely new skills or expensive additional tools. It will thus be especially suitable in settings were high-tech equipment is not be available – something to consider when discussing new treatment strategies in a global context .
Besides being the most effective option especially for those with high risk, selective excavation was associated with lower costs than alternative strategies, which is especially relevant in underfunded health systems with more pressing health concerns than caries and low prioritization of dental treatments. In addition, selective excavation was shown to reduce private treatment costs within the chosen healthcare setting, since expensive treatments might be either completely avoided or postponed. Such cost-saving is especially relevant for individuals with lower social status, i.e. those with high risks : Cost barriers are known to decrease utilization of dental services , and reducing treatment costs might help increase patients’ compliance, which in turn could help improve the efficiency of dental services . It should be noted that the cost-estimates in our study are typical for the German healthcare system; the issue of privately covered or reimbursed costs may differ between healthcare systems, but the general problem of cost-sensitivity in dentistry will remain.
Our results regarding lifetime tooth retention in high-risk groups seem overly optimistic compared with data from New Zealand , which reported 2.2 lost teeth at age 32 in the high-risk trajectory group, or data from Germany, which reported 1.5 and 4.0 lost teeth in low- and high-risk groups, respectively . In our base case scenario, these numbers were not even reached over an individual’s lifetime. We have chosen the New Zealand data, as it allows modelling over a patient’s lifetime using data that supports nearly half of this life: this makes extrapolation into the lifetime frame less uncertain. No German long-term cohort data is available, and available Swedish data was not found to cover such a long time-frame . It should be noted that the different health system and further socio-economic or health-related differences might influence individual behaviour; our model is thus potentially prone to distortions relative to the “true” situation in Germany.
There are several explanations for the found discrepancies between the modelled and the real-life outcomes: first, we investigated posterior teeth only, since deep caries lesions were assumed to be a problem mainly in these teeth. Thus, our numbers cannot easily be compared with reported caries experience in the whole dentition. Second, our model was based on the conservative assumptions that treatment decisions would not differ between risk groups. We have to acknowledge evidence that dentists’ decisions in identical clinical situations sometimes differ between risk groups  and that, generally, treatment allocations depend on patients’ characteristics . Treatment decisions in patients with high risk will often be more radical, especially when faced with the option of retaining or removing posterior teeth . Thus, it is all the more relevant to avoid situations where dentists are faced with the dilemma of having to choose between root-canal treatment (which is time-consuming, supposed to be painful, and expensive) and removing the tooth. We have accounted for this via sensitivity analyses and could show that by adjusting the probability of root-canal treatment instead of extraction being performed, the number of teeth retained over the lifetime decreased dramatically. We thus acknowledge that tooth retention, which we assumed to be the aim of dental treatment, may not always be the priority in dental practice. Third, our simulation did not allow for complications beyond those associated with the initial treatment, which results in an under-estimation of the overall tooth loss over patients’ lifetimes. It is however unlikely that the cost-effectiveness ranking of strategies would be affected if all possible complications were incorporated into the model.
Our conclusions must be made under the caveat of uncertainty that applies to simulation studies in general, since input parameters themselves are variable and might change in the future, and patients as well as settings are somewhat heterogeneous . We have accounted for joint parameter uncertainty within our simulation, and performed additional sensitivity analyses. Nevertheless, the low number and quality of many included studies and the fact that most trials have analysed deciduous molars, whilst we modelled permanent posterior teeth, limits the reliability and generalizability of our results.
Another question is whether also the efficacy of different excavation strategies differs across risk groups: Currently, there is no indication that, for example, selective excavation performs better in patients with low than high risk, but given that lesions of different activities – which could be differently distributed between populations – are associated with different risks of pulpal complications , further studies should be performed to compare pulpal outcomes after different excavation strategies in populations with different risks.
The definition of risks groups was based on risk indicators, and our simulation compared risk groups by varying key variables or functions, which we had identified as factor or predictors of an individual’s risk. The “true” risk of a patient will differ, since the variables we correlated in our model do not always associate with each other. Moreover, these variables might change over a patient’s life-time, with initial treatments or changes in social status etc. possibly affecting an individual’s behaviour (oral hygiene, dental service utilization) and, subsequently, his or her risk later in life . Our study evaluated the maximal reported impact of being in a certain risk group on transition probabilities, whilst it remains uncertain what the true range of effects is, depending on the analysed populations and the chosen cut-offs .
As mentioned, extrapolating data of short- or even midterm studies into a lifetime perspective introduces uncertainty. The effects of this uncertainty might be limited, since caries-related tooth-loss is known to happen rather earlier than later in life , and – in our model – discounting effects decrease the importance of costs occurring later in life. Moreover, gender and other person-specific factors, such as social position, might affect life-expectancy , but considering the magnitude of potential differences in life-expectancy and the demonstrated importance of early, not late caries treatments for the resulting cost-effectiveness, the impact of such heterogeneity will be limited. It remains unclear if gender differences would also affect the relative cost-effectiveness of different strategies, as caries prevalence and experience might differ between genders; no gender-specific data for deep lesions is available, though.
Needless to say, this study is based on a number of assumptions that were required because insufficient “hard” data was available. We have attempted to address the impact of these assumptions on our findings using sensitivity analyses. Additionally, the performed regression methods might have introduced bias, and future studies should consider more sophisticated methods, such as latent variable models. However, we assume this will be of limited impact, as all excavation strategies were submitted to the hazard functions calculated via these regression analyses.
Within this simulation study and based on current evidence, selective excavation of deep lesions retained teeth and their vitality for longer at lower total and private out-of-pocket costs. Whilst the cost-effectiveness of all strategies decreased in patients with high compared with low risk, this decrease was smallest for selective excavation, leading to an even greater cost-effectiveness-advantage of this strategy in patients with high risk. Whilst caries excavation cannot tackle the underlying sources for the development of caries lesions and the different risks across individuals, selective excavation seems cost-effective to treat deep lesions, especially in patients with high risk, who benefit over-proportionally from the resulting health-gains and cost-savings.
The study was funded by the authors and their institutions.
- Pitts N, Amaechi B, Niederman R, Acevedo AM, Vianna R, Ganss C, Ismail A, Honkala E: Global oral health inequalities: dental caries task group—research agenda. Adv Dent Res. 2011, 23: 211-220. 10.1177/0022034511402016.View ArticlePubMedPubMed CentralGoogle Scholar
- Petersen PE: World Health Organization global policy for improvement of oral health–World Health Assembly 2007. Int Dent J. 2008, 58: 115-121.View ArticlePubMedGoogle Scholar
- Schiffner U, Hoffmann T, Kerschbaum T, Micheelis W: Oral health in German children, adolescents, adults and senior citizens in 2005. Community Dent Health. 2009, 26: 18-22.PubMedGoogle Scholar
- Ridell K, Olsson H, Mejàre I: Unrestored dentin caries and deep dentin restorations in Swedish adolescents. Caries Res. 2008, 42: 167-170.View ArticleGoogle Scholar
- Goldie SJ, Daniels N: Model-based analyses to compare health and economic outcomes of cancer control: inclusion of disparities. J Natl Cancer Inst. 2011, 103: 1373-1386. 10.1093/jnci/djr303.View ArticlePubMedPubMed CentralGoogle Scholar
- Rawls J: A theory of justice. 1971, Cambridge MA: Harvard University PressGoogle Scholar
- Brantley C, Bader J, Shugars D, Nesbit S: Does the cycle of rerestoration lead to larger restorations?. J Am Dent Assoc. 1995, 126: 1407-1413. 10.14219/jada.archive.1995.0052.View ArticlePubMedGoogle Scholar
- Schwendicke F, Dörfer CE, Paris S: Incomplete caries removal: a systematic review and meta-analysis. J Dent Res. 2013, 92: 306-314. 10.1177/0022034513477425.View ArticlePubMedGoogle Scholar
- Ricketts D, Lamont T, Innes NP, Kidd E, Clarkson JE: Operative caries management in adults and children. Cochrane Database Syst Rev. 2013, 28: CD003808-Google Scholar
- Alves LS, Fontanella V, Damo AC, Ferreira de Oliveira E, Maltz M: Qualitative and quantitative radiographic assessment of sealed carious dentin: a 10-year prospective study. Oral Surg Oral Med Oral Pathol Oral Radiol Endodontol. 2010, 109: 135-141. 10.1016/j.tripleo.2009.08.021.View ArticleGoogle Scholar
- Maltz M, Alves L, Jardim J, Moura MS, de Oliveira E: Incomplete caries removal in deep lesions: a 10-year prospective study. Am J Dent. 2011, 24: 211-214.PubMedGoogle Scholar
- Maltz M, de Oliveira EF, Fontanella V, Bianchi R: A clinical, microbiologic, and radiographic study of deep caries lesions after incomplete caries removal. Quintessence Int. 2002, 33: 151-159.PubMedGoogle Scholar
- Maltz M, Jardim JJ, Mestrinho HD, Yamaguti PM, Podestá K, Moura MS, de Paula LM: Partial removal of carious dentine: a multicenter randomized controlled trial and 18-month follow-Up results. Caries Res. 2013, 47: 103-109. 10.1159/000344013.View ArticlePubMedGoogle Scholar
- Schwendicke F, Meyer-Lückel H, Dorfer C, Paris S: Failure of incompletely excavated teeth - a systematic review. J Dent. 2013, 41: 569-580. 10.1016/j.jdent.2013.05.004.View ArticlePubMedGoogle Scholar
- Schwendicke F, Stolpe M, Meyer-Lueckel H, Paris S, Dörfer CE: Cost-effectiveness of One- and Two-step incomplete and complete excavations. J Dent Res. 2013, 90: 880-887.View ArticleGoogle Scholar
- Statistisches Bundesamt: Mortality table 2009/2011 [Sterbetafel 2009/11]. 2013 edition. 2013, Wiesbaden,http://www.destatis.de,Google Scholar
- Broadbent JM, Foster Page LA, Thomson WM, Poulton R: Permanent dentition caries through the first half of life. Br Dent J. 2013, 215: E12-10.1038/sj.bdj.2013.991.View ArticlePubMedGoogle Scholar
- Broadbent JM, Thomson WM, Poulton R: Trajectory patterns of dental caries experience in the permanent dentition to the fourth decade of life. J Dent Res. 2008, 87: 69-72. 10.1177/154405910808700112.View ArticlePubMedPubMed CentralGoogle Scholar
- Broadbent JM, Thomson WM, Poulton R: Progression of dental caries and tooth loss between the third and fourth decades of life: a birth cohort study. Caries Res. 2006, 40: 459-465. 10.1159/000095643.View ArticlePubMedPubMed CentralGoogle Scholar
- Barmer-GEK: Dental report [Zahnreport]. Series for healthcare analyses [Schriftreihe zur Gesundheitsanalyse], Volume 19. 2013, Schwäbisch-Gmünd: Barmer GEKGoogle Scholar
- van de Sande FH, Opdam NJ, Rodolpho PA, Correa MB, Demarco FF, Cenci MS: Patient risk factors' influence on survival of posterior composites. J Dent Res. 2013, 92: 78s-83s. 10.1177/0022034513484337.View ArticlePubMedGoogle Scholar
- Opdam NJM, Bronkhorst EM, Roeters JM, Loomans BAC: Longevity and reasons for failure of sandwich and total-etch posterior composite resin restorations. J Adhes Dent. 2007, 9: 469-485.PubMedGoogle Scholar
- Laccabue M, Ahlf RL, Simecek JW: Frequency of restoration replacement in posterior teeth for U.S. Navy and Marine Corps personnel. Oper Dent. 2014, 39: 43-49. 10.2341/12-406-C.View ArticlePubMedGoogle Scholar
- Appraisal of recommendations by the scientific board of IQWiG regarding "Methods to assess cost-effectiveness in German Public Health Insurance" [Würdigung der Empfehlung des Wissenschaftlichen Beirats des IQWiG zur "Methodik für die Bewertung von Verhältnissen zwischen Nutzen und Kosten im System der deutschen gesetzlichen Krankenversicherung“]. [https://www.iqwig.de/de/projekte-ergebnisse/publikationen/iqwig-stellungnahmen.3028.html]
- Schwendicke F, Meyer-Lueckel H, Stolpe M, Dörfer CE, Paris S: Costs and effectiveness of treatment alternatives for proximal caries lesions. PLoS One. 2014, 9: e86992-10.1371/journal.pone.0086992.View ArticlePubMedPubMed CentralGoogle Scholar
- Briggs AH, O'Brien BJ, Blackhouse G: Thinking outside the box: recent advances in the analysis and presentation of uncertainty in cost-effectiveness studies. Annu Rev Public Health. 2002, 23: 377-401. 10.1146/annurev.publhealth.23.100901.140534.View ArticlePubMedGoogle Scholar
- Drummond M, Mason J, Torrance G: Cost-effectiveness league tables: Think of the fans. Health Policy. 1995, 31: 231-238. 10.1016/0168-8510(94)00719-U.View ArticlePubMedGoogle Scholar
- Stinnett AA, Mullahy J: Net health benefits: a new framework for the analysis of uncertainty in cost-effectiveness analysis. Med Decis Making. 1998, 18: S68-S80. 10.1177/0272989X9801800209.View ArticlePubMedGoogle Scholar
- Vikum E, Krokstad S, Holst D, Westin S: Socioeconomic inequalities in dental services utilisation in a Norwegian county: the third Nord-Trondelag Health Survey. Scand J Public Health. 2012, 40: 648-655. 10.1177/1403494812458989.View ArticlePubMedGoogle Scholar
- Micheelis W, Schiffner U: Vierte Deutsche Mundgesundheits-Studie (DMS IV). IDZ Materialreihe, Volume 31. Edited by: Institut der Deutschen Zahnärzte. 2006, Köln Deutscher ÄrzteverlagGoogle Scholar
- Baelum V: Dentistry and population approaches for preventing dental diseases. J Dent. 2011, 39 (Suppl 2): S9-S19.View ArticlePubMedGoogle Scholar
- Schwendicke F, Dörfer C, Schlattmann P, Foster Page L, Thomson M, Paris S: Socioeconomic inequality and caries: a systematic review and meta-analysis. J Dental Res. 2014, acceptedGoogle Scholar
- Locker D, Maggirias J, Quiñonez C: Income, dental insurance coverage, and financial barriers to dental care among Canadian adults. J Public Health Dent. 2011, 71: 327-334. 10.1111/j.1752-7325.2011.00277.x.View ArticlePubMedGoogle Scholar
- Hiligsmann M, McGowan B, Bennett K, Barry M, Reginster JY: The clinical and economic burden of poor adherence and persistence with osteoporosis medications in Ireland. Value Health. 2012, 15: 604-612. 10.1016/j.jval.2012.02.001.View ArticlePubMedGoogle Scholar
- Mejàre I, Källestål C, Stenlund H: Incidence and progression of approximal caries from 11 to 22 years of Age in Sweden: a prospective radiographic study. Caries Res. 1999, 33: 93-100. 10.1159/000016502.View ArticlePubMedGoogle Scholar
- Bader JD, Shugars DA: Understanding dentists' restorative treatment decisions. J Public Health Dent. 1992, 52: 102-110. 10.1111/j.1752-7325.1992.tb02251.x.View ArticlePubMedGoogle Scholar
- Burke FJ, Lucarotti PS, Holder RL: Outcome of direct restorations placed within the general dental services in England and Wales (Part 2): variation by patients' characteristics. J Dent. 2005, 33: 817-826. 10.1016/j.jdent.2005.03.007.View ArticlePubMedGoogle Scholar
- Azarpazhooh A, Dao T, Figueiredo R, Krahn M, Friedman S: A survey of patients' preferences for the treatment of teeth with apical periodontitis. J Endod. 2013, 39: 1534-1541. 10.1016/j.joen.2013.07.012.View ArticlePubMedGoogle Scholar
- Koerkamp BG, Stijnen T, Weinstein MC, Hunink MGM: The combined analysis of uncertainty and patient heterogeneity in medical decision models. Med Decis Mak. 2011, 31: 650-661. 10.1177/0272989X10381282.View ArticleGoogle Scholar
- Bjorndal L, Demant S, Dabelsteen S: Depth and activity of carious lesions as indicators for the regenerative potential of dental pulp after intervention. J Endod. 2014, 40: S76-S81. 10.1016/j.joen.2014.01.016.View ArticlePubMedGoogle Scholar
- Peres MA, Barros AJ, Peres KG, Araújo CLP, Menezes AMB: Life course dental caries determinants and predictors in children aged 12 years: a population-based birth cohort. Community Dent Oral Epidemiol. 2009, 37: 123-133. 10.1111/j.1600-0528.2009.00460.x.View ArticlePubMedGoogle Scholar
- Reich E, Hiller KA: Reasons for tooth extraction in the western states of Germany. Community Dent Oral Epidemiol. 1993, 21: 379-383. 10.1111/j.1600-0528.1993.tb01103.x.View ArticlePubMedGoogle Scholar
- Marmot M, Allen J, Bell R, Bloomer E, Goldblatt P: WHO European review of social determinants of health and the health divide. Lancet. 2012, 380: 1011-1029. 10.1016/S0140-6736(12)61228-8.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1472-6831/14/153/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.