Even vulnerable molars may last with long-term periodontal care

Summarised from:

Loss of molars in periodontally treated patients: results 10 years and more after active periodontal therapy
(Journal of Clinical Periodontology; doi: 10.1111/jcpe.12488)

Authors:

Bettina Dannewitz, Anna Zeidler, Johannes Hüsing, Daniel Saure, Thorsten Pfefferle, Peter Eickholz, Bernadette Pretzl

Summarised by:

Dr Dominika Antoniszczak

Research Topic:

Why does this matter?

Molars with substantial bone loss or damage between roots can have an uncertain outlook. This study examined their survival after periodontal treatment and many years of maintenance.

What was studied?

Researchers reviewed 136 patients and more than a thousand molars, with average maintenance follow-up of about thirteen years. They considered tooth condition, treatment history, smoking and diabetes when analysing tooth loss.

What did the researchers find?

Most molars survived, including many with considerable initial damage. Greater bone loss, root-area involvement and remaining deep pockets were associated with poorer outcomes. A diabetes association was reported, but only four participants had diabetes, making that estimate too fragile for a confident personal risk message.

What does this mean for me?

The study offers reassurance that a difficult molar is not necessarily beyond treatment. At the same time, it does not establish that every damaged tooth should be kept regardless of symptoms, function or treatment burden. An individual assessment can weigh the likelihood of useful survival against alternatives and the care required. Very large risk estimates from tiny subgroups should not be used to frighten patients or determine an extraction decision on their own.

What should I keep in mind?

Only four participants had diabetes, making that particular subgroup especially uncertain. Following people over time helps researchers study the order of events, but it does not remove all uncertainty. People with different health or dental histories may also differ in medicines, smoking, access to care and other influences. Some participants may be missing from later assessments. Statistical adjustments cannot fully account for everything. The results describe patterns in the people studied, not a personal forecast. They should be considered alongside other research and your own clinical findings when discussing their relevance to you.

Read the full article Back to Research

Research  |  10.12.15

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