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RESEARCH REPORTS |
1 University of Michigan, School of Dentistry, Department of Cariology, Restorative Sciences, and Endodontics, 1011 N. University Ave., Ann Arbor, MI 48109-1078, USA;
2 University of Iowa, Department of Preventive and Community Dentistry;
3 University of Iowa, Department of Biostatistics;
4 University of North Carolina, Department of Dental Ecology;
5 University of Iowa, Department of Operative Dentistry;
6 University of Iowa, Department of General Internal Medicine; and
7 University of Iowa, Public Policy Center;
* corresponding author, jkolker{at}umich.edu
| ABSTRACT |
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KEY WORDS: dental amalgam crowns longitudinal study survival analysis treatment outcome
| INTRODUCTION |
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While several studies have evaluated the clinical performance of large amalgams and crowns, there remains uncertainty about which procedure provides the best long-term outcome for a structurally compromised tooth (Leempoel et al., 1985; Walton et al., 1986; Robbins and Summitt, 1988; Letzel et al., 1989; Hawthorne and Smales, 1997; Martin and Bader, 1997; Smales and Hawthorne, 1997; Plasmans et al., 1998; Smales, 1991). Published studies are often difficult to compare, since they rarely compare the two procedures in the same study and can vary in protocol, methods, and the definition of outcome measures. This inadequate evidence base has contributed to variations in the treatment planning for these two procedures (Bailit and Clive, 1981; Elderton and Nuttall, 1983; Grembowski et al., 1990a,b; Shugars and Bader, 1992; Bader et al., 1993; Bader and Shugars, 1993, 1995; Shugars et al., 1997).
Several recent studies have used administrative data to evaluate the survival of large amalgam and crown restorations. In one study, teeth with a crown were significantly more likely to survive over time compared with teeth restored with a large amalgam (Smales and Hawthorne, 1997). In another study, about 70% of four- and five-surface amalgams were successful (needing no further treatment or only an additional one- or two-surface restoration) after 5 yrs, with 1015% experiencing a catastrophic failure (i.e., endodontic treatment or extraction) (Martin and Bader, 1997). In contrast, 84% of crowns were successful, with about 10% having a catastrophic procedure.
In a previous study, we followed teeth restored with a large amalgam or a crown for 5 and 10 yrs in routine patients to gain an understanding of the type of treatment received (Kolker et al., 2004). We created Treatment Outcome Trees as a descriptive approach to evaluate the natural history of teeth treated with a large amalgam or crown. Sixty-four percent of large amalgams and 22% of crowns later received further treatment over the ensuing 10 yrs. Even with these descriptive analyses, however, we were unable to determine how quickly the teeth needed subsequent treatment, the complexity of the procedures received, or the factors relating to the type of treatment received. The purpose of this study was to follow and compare large amalgams and crowns, and determine (a) the survival rates for teeth with these two types of restorations and (b) factors associated with better outcomes.
| MATERIALS & METHODS |
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All permanent posterior teeth were included except the following: (1) third molars, (2) teeth identified as having received root canal therapy prior to the placement of the large amalgam or crown restoration, or (3) teeth that served as a bridge abutment. If a patient had more than one target tooth, we randomly selected one tooth for analysis, to avoid related observations.
Information from every dental visit related to the target teeth during the ten-year period was collected. Survival analyses were completed, and related factors were modeled for two different definitions of survival: (Model 1) receipt of no treatment, and (Model 2) receipt of no catastrophic treatment (not having extraction or root canal procedures). We used the Kaplan-Meier Product Limit method to estimate survival probability curves for each level of a covariate. We used Log-Rank tests to assess the association between potential risk factors and survival time. We used Cox proportional hazards regression to model the association between exposure (restoration type) and time with no treatment and no catastrophic treatment while controlling for confounding risk factors (covariates).
We conducted both forward and backward step-wise approaches to create the most parsimonious models. We performed forward step-wise modeling by placing each variable that had a log-rank p < 0.20 individually into the proportional hazards model. The variable with the smallest p-value was first put into a proportional hazards model with restoration type, and then the remaining variables were evaluated individually. The variable that displayed the lowest p-value was then included in the model. This process was repeated until no additional variable maintained a p < 0.05.
We performed backward step-wise modeling by including all the variables with a log-rank p < 0.20 in the proportional hazards model. The variable with the largest p-value exceeding the 0.05 level was dropped, and a proportional hazards model with the remaining variables was created. From this second model, the variable with the highest p > 0.50 was dropped, and a reduced proportional hazards model was created. We placed the first dropped variable back into the model to verify its exclusion. This process was followed until all variables with a p > 0.05 were excluded from the model.
Possible interaction terms were then tested between the restoration type and the other covariates that remained in the model. The proportional hazards assumption was tested by the inclusion of covariates by log-time interaction terms.
| RESULTS |
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The final models for time to some treatment and time to catastrophic treatment, along with the parameter estimates (ß) and Hazard ratios, were determined (Table 2
). Both forward and backward approaches yielded the same final models. The final Model 1 for survival with no treatment included the covariates restoration type, proximal contacts, and arch type. These same variables plus gender were included in the final Model 2, describing survival with no catastrophic treatment. When interactions were evaluated, only the interaction between restoration type and arch type was significant in both models. The distribution of the sample among the 4 categories specified by restoration type and arch type and the hazard ratios (adjusted for other predictors) were calculated (Table 3
). Variables showed no evidence of a non-proportional hazards time dependency.
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Kaplan-Meier survival curves for the receipt of no treatment were created (Fig.
, panel A). The curves are shown for restoration type in each arch. After 10 yrs, 83% of maxillary crowns survived with no treatment, as did 71% of mandibular crowns. Large amalgams showed a wider separation of survival estimates based on arch type at 5 yrs (0.44 for maxillary and 0.51 for mandibular) than at 10 yrs (0.63 and 0.65, respectively).
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| DISCUSSION |
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Many of our findings were very similar to those of Martin and Bader (1997); however, our survival time for teeth with large amalgams was shorter. At 5 yrs, we found that 52% of large amalgam teeth survived with no treatment, while they found that 62% of four-surface amalgams and 55% of five-surface amalgams survived (Martin and Bader, 1997). Our findings for crowns were higher, with 88% of crowns surviving with no treatment, compared with 80% of crowns in their study. Some of these differences may be due to differences in practice settings (i.e., managed care group vs. dental school).
In the literature on outcomes for large amalgams and crowns, the number of proximal contacts has not been reported. However, in a study of endodontically treated teeth, teeth with two proximal contacts had the best survival estimates (Aquilino and Caplan, 2002). The same investigative team found that teeth with 0 or 1 proximal contact at endodontic access were lost three times as often as teeth with two proximal contacts (Caplan and Weintraub, 1997; Caplan et al., 2002). Caplan and co-workers suggested that neighboring teeth may help distribute occlusal forces (Caplan et al., 2002). Teeth that have 0 or 1 proximal contact may be more likely to be present in individuals with fewer teeth and a poorer oral health status (and perhaps fewer financial resources), but this is speculative.
Few studies have examined the differences in restoration survival by arch. Some authors reported no differences in outcomes between the maxillary and mandibular arches (Drake et al., 1990; Köhler et al., 2000). One study reported lower restoration survival rates in the mandibular arch (McDaniel et al., 2000).
Findings of restoration performance by patient gender have been mixed, with some showing no difference (Dawson and Smales, 1992; Dunne and Millar, 1993; Mjör et al., 2000), and one study finding that survival was superior in female patients (Mahmood and Smales, 1994). Women access dental care differently and react to health promotion in a more positive manner than do men (Zakrzewska, 1996) and are known to access more medical and dental health care and to seek care more frequently (Woolfolk et al., 1999). This may act as a preventive measure, increasing the longevity of restorations through more frequent routine maintenance.
The receipt of less treatment after 10 yrs in crowns could be related to decisions by dentists and patients regarding which teeth should receive crowns. Dentists in this study may have been more likely to treatment plan simply a large amalgam for teeth with a questionable prognosis, from a perceived cost-benefit perspective. The difference in outcomes between the two treatment options could thus represent appropriate treatment planning and case selection, so that teeth with a better prognosis receive the more expensive and longer-lasting restoration.
The longer survival of crowns should be interpreted carefully, since it relates to less need for treatment. Since this was an observational study, the findings describe the actual care provided, which differs conceptually from the care that was needed, as measured against a clinical gold standard. Dental practice pattern variations exist and are also expected to exist among practitioners in a dental school. Treatment planning is still driven by the individual dentist (and, in this case, instructor) and patient preferences. Continued research to develop an evidence base for the appropriate provision of routine services is essential.
Since these data were collected from a group of patients seen at a dental school, generalization of the findings beyond this population should be made cautiously. Other information that would have strengthened the findings, but was not available, included the reason for the initial placement of a large amalgam or crown, the practitioners long-term prognosis for the tooth/restoration, the level of insurance coverage for crowns and/or personal income information, periodontal status, and additional information about the oral health status of the patient.
A limitation with the use of only administrative and chart data was our inability to identify treatment provided outside the dental school. By survival analysis, the data were censored at the patients last visit to the school. Treatment received outside the College when they were also receiving treatment at the College is missing.
The findings do suggest that it is appropriate to consider patient and oral health characteristics in the clinical decision-making process when faced with a tooth that has lost a significant amount of structure. This study provides information that can be used to facilitate dentist and patient education regarding factors to consider when choosing between a large amalgam and a crown. To assist the clinical decision-making process, we plan future research to consider the cost-effectiveness of the two different restorative options.
| ACKNOWLEDGMENTS |
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Received November 11, 2003; Last revision July 1, 2004; Accepted August 23, 2004
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