Primary study · included by 1 review
Evaluation of the Cariogram for root caries prediction.
Hayes 2017 · Hayes M, Da Mata C, McKenna G, et al. · Journal of dentistry · 2017
Trial PICO
Not extracted yet. Trial-level population, intervention, comparator, outcomes and design will appear here after the trial extraction run. Until then, the reviews below describe the study.
Results
Not extracted yet. Per-trial results (events, means, effect and weight as each review's forest plot reports them) will appear here after the trial extraction run.
Included by
| Outcome this study informs | Pooled effect | Evidence | Certainty |
|---|---|---|---|
Predictive performance for root caries increment (negative likelihood ratio, LR-) Multivariable prediction model of caries increment (>=3 predictors), e.g. logistic-regression or algorithm-based caries-risk models vs Alternative prediction model(s) within the same study, or no formal comparator (models compared descriptively; no between-model statistical test) · Follow-up >=1 year (included studies 1-5 years) | No meta-analysis. Hayes 2017 [33] (5 Cariogram root-caries models): per-model LR- (Table 2) ranged 0.34-0.41; none reached the useful rule-out threshold of <=0.20. | 1 study | Ungraded |
Predictive performance for root caries increment (positive likelihood ratio, LR+) Multivariable prediction model of caries increment (>=3 predictors), e.g. logistic-regression or algorithm-based caries-risk models vs Alternative prediction model(s) within the same study, or no formal comparator (models compared descriptively; no between-model statistical test) · Follow-up >=1 year (included studies 1-5 years) | No meta-analysis. Only one root-caries validation study (Hayes 2017 [33], 5 Cariogram models); per-model LR+ (Table 2) ranged 1.88-2.78 (best when mutans streptococci omitted). | 1 study | Ungraded |
1 including review in total.