ArticleJournal of clinical periodontology2017
A new way to estimate disease prevalence from random partial-mouth samples.
Article in Journal of clinical periodontology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 9 citations in OpenAlex.
- Multiple Imputation for Partial Recording Periodontal Examination Protocols.JDR clinical and translational research · 2024Article
- Microbial biogeography and ecology of the mouth and implications for periodontal diseases.Periodontology 2000 · 2020Review
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
aimStandard partial-mouth estimators of chronic periodontitis (CP) that define an individual's disease status solely in terms of selected sites underestimate prevalence. This study proposes an improved prevalence estimator based on randomly sampled sites and evaluates its accuracy in a well-characterized population cohort.
methodsImportantly, this method does not require determination of disease status at the individual level. Instead, it uses a statistical distributional approach to derive a prevalence formula from randomly selected periodontal sites. The approach applies the conditional linear family of distributions for correlated binary data (i.e. the presence or absence of disease at sites within a mouth) with two simple working assumptions: (i) the probability of having disease is the same across all sites; and (ii) the correlation of disease status is the same for all pairs of sites within the mouth.
resultsUsing oral examination data from 6793 participants in the Arteriolosclerosis Risk in Communities study, the new formula yields CP prevalence estimates that are much closer than standard partial mouth estimates to full mouth estimates.
conclusionsResampling of the cohort shows that the proposed estimators give good precision and accuracy for as few as six tooth sites sampled per individual.
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Registered trials
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