Looking Beyond Individual Teeth: A New Way of Thinking About Dental Treatment

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When individuals require extensive dental treatment, dentists typically have several options, including fillings, crowns, bridges, root canal treatments, and dental implants. While there is substantial knowledge about the lifespan of each treatment individually, estimating how well an entire mouth of restored teeth will perform over the years has remained challenging.

My latest research, published in the Journal of Dentistry, introduces an innovative concept, the Restorative Dental Prognosis Index (RDPI). Instead of predicting exact outcomes for patients, the RDPI provides a structured approach for dentists to assess the long-term outlook for the entire mouth.

Howe, M.S., Richards, D. “Conceptual Development of a Restorative Dental Prognosis Index: A Proof-of-Concept Framework Integrating Survival Evidence and Restorability Assessment.” J Dent 173 (2026) 106849. https://doi.org/10.1016/j.jdent.2026.106849

How the RDPI Works

The process is straightforward: each restored tooth is assigned a simple rating—good, uncertain, or poor—based on its overall condition and relevant research regarding the longevity of similar treatments. By evaluating all teeth collectively, dentists can create a clearer picture of a patient’s overall dental health compared to the traditional method of analysing each tooth in isolation.

The Impact of Individual Teeth

The study emphasises that even if most restorations are likely to last many years, the presence of one or two weaker teeth can significantly affect the long-term success of the entire mouth. This insight encourages more informed discussions between dentists and patients about the benefits, risks, and likely maintenance needs associated with different treatment options.

Moving Towards Evidence-Based Discussions

We clarify that the RDPI is not intended to serve as a crystal ball predicting the future with absolute certainty. Rather, it represents a significant step forward in developing a more consistent, evidence-based methodology for discussing dental prognosis.

If future research confirms its efficacy, the RDPI could empower dentists to explain treatment options more clearly, promote shared decision-making with patients, and facilitate the creation of treatment plans that are technically successful, realistic, affordable, and built to last.

A Proposed Novel Evidence-Based Restorative Dental Risk Index (RDRX) for Clinical Practice.

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Dr Mark-Steven Howe BDS DGDP MGDS RCS MSc(Oxon) FCGDent

Abstract

Objectives:
This study introduces a novel, evidence-based restorative risk assessment tool designed to help dental practitioners optimise long-term treatment options for individual patients.

Methods:
The tool is grounded in two core concepts. First, patients are viewed as complex adaptive systems, composed of interacting components that behave in non-linear and often unpredictable ways. Second, given the uncertainty in both the evidence base and patient-specific data, plausible inference is used to interpret risk in a meaningful manner.

Using pooled 10-year survival data, the tool estimates the plausible probability of a complication-free outcome, defined as no significant repair, replacement, or removal of a tooth, implant, or prosthesis over a decade. Each restoration is assigned a prognostic value of 1 (poor), 7 (average), or 9 (excellent). An overall risk multiplier is then applied, taking into account systemic health, periodontal condition, and occlusal stability. The output produces a probability value that reflects the patient’s likely 10-year complication-free status.

Results:
The tool provides a straightforward yet structured method for clinicians to evaluate a patient’s current restorative stability and predict the likelihood of future complications.

Conclusions:
By incorporating principles of complexity science and plausible inference, this new risk index helps clinicians provide more objective, evidence-informed guidance during treatment planning and consent discussions. It also enables practitioners to model and compare future treatment scenarios and estimate related cost benefits. While conceptually robust, further research is needed to validate its clinical effectiveness in diverse settings.

Keywords: restorative dentistry; indices; plausible inference; complex adaptive systems, clinical risk

Clinical Significance: The design of this novel risk assessment tool accepts the existence of complexity and missing data when estimating a patient’s 10-year complication-free dental restorative status. By using probabilities, it supports clinicians in delivering clearer, evidence-informed treatment planning and consent, while enabling comparison of future scenarios and potential cost benefits.

Link:

DOI: 10.13140/RG.2.2.34872.61447

https://www.researchgate.net/publication/395455088_A_Proposed_Novel_Evidence-Based_Restorative_Dental_Risk_Index_RDRX_for_Clinical_Practice_Introducing_an_Evidence-Based_Restorative_Dental_Risk_Index_RDRX_for_Clinical_Practice