Abstract
Aim To present the progression of work on the measurement of restoration survival in teeth from the development of large datasets for this purpose, onwards.
Methods The literature on restoration survival from the early 2000s has been reviewed, including the use of large administrative datasets and datasets developed for research, using examples drawn from the available literature.
Conclusions The need to collect data on restoration survival, and the factors associated with it, was established as long ago as the 1960s. The ability to analyse larger volumes of data facilitated by computer technology has allowed not only the analysis of the survival of the restoration itself, but the corresponding analysis of survival of the restored tooth. Furthermore, the use of current computer technology facilitates analysis of a wide range of associated factors, including patient factors such as socioeconomic and caries risk status.
Key points
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Given the difficulties in keeping a group of patients/restorations, their clinician and researcher for adequate periods of time, various authors realised that large administrative databases could be of value.
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Useful information on restoration survival can also be obtained when a sufficiently large group of dentists band together to collect data.
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A difficult decision made daily when dentists examine a patient's dentition is: ‘does a particular restoration require replacement?'.
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Data availability
Any data included in the study are available in the cited papers, including SN7024, available from UKDataService.ac.uk.
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Acknowledgements
The authors acknowledge the support of the Economic and Social Data Service, the Health and Social Care Information Centre and the NHS Business Services Authority for collating and releasing this valuable data resource.
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FJTB and PSKL conceived and designed the work that led to the submission, interpreted the results from the contributing papers, drafted the manuscript and approved the final version.
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Lucarotti, P., Burke, F. Measurement of restoration longevity: from Robinson's rules to a 13 million restoration dataset – part 2: onwards and upwards. Br Dent J 239, 535–539 (2025). https://doi.org/10.1038/s41415-025-8506-9
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DOI: https://doi.org/10.1038/s41415-025-8506-9
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