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Aim: The aim of this review was to answer the following question: Can periodontal measures be used to identify dental patients with undiagnosed hyperglycaemia?. Materials and Methods: Systematic searches of electronic databases and the grey literature were carried out to identify studies developing and/or validating prediction models, based on any periodontal measure, to screen adults for undiagnosed hyperglycaemia (pre-diabetes and diabetes). Risk of bias was evaluated using the PRediction mOdel risk-of-Bias ASsessment Tool (PROBAST). Results: Ten studies were identified, of which eight were model development studies. The remaining two studies reported the external validation of one existing prediction model. The periodontal prediction model with some evidence of external validation showed moderate diagnostic performance in the development sample but lower performance in the external validation samples. According to PROBAST, all studies had high risk of bias mainly due to methodological limitations in data analysis, but also in the recruitment of participants, choice and measurement of periodontal predictors and diabetes. Conclusions: There is a need for more robust external validation studies of existing prediction models adhering to current recommendations. Dental professionals who see patients at risk of diabetes and routinely collect periodontal measures have an important role to play in their identification and referral.

Original languageEnglish
Pages (from-to)302-312
Number of pages11
JournalJournal of Clinical Periodontology
Issue number4
Early online date23 Feb 2022
Publication statusPublished - Apr 2022


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