evidence/gaps
Primary study · included by 1 review

A Predictive Model for Root Caries Incidence.

Ritter 2016 · Ritter André V, Preisser John S, Puranik Chaitanya P, et al. · Caries research · 2016

PubMed 27160516doi:10.1159/000445445Journal Article; Research Support, N.I.H., Extramural

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

Multivariable prediction models of caries increment: a systematic review and critical appraisal.
Non-Cochrane · prognostic · 2023 · cited as Ritter 2016 · Table 1 & Table 2 [22]; model development, root caries
Outcome this study informsPooled effectEvidenceCertainty
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. Development root-caries models from 2 root-specific studies (Ritter 2016 [22], Sanchez-Garcia 2011 [23]) plus Powell 1991 [21] (coronal and root). Per-model LR+ (Table 2): Ritter 1.81-2.23 (5 models),…2 studiesUngraded
Coronal and/or root caries increment
Multivariable caries prediction model vs Additional prediction model(s) · Follow-up ≥1 year
LR+ 2.20 [0.74, 6.53]1 studyUngraded
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. Per-model LR- (Table 2): Ritter 0.36-0.48 (5 models), Powell 0.20 (0.04-0.90), Sanchez-Garcia 0.86 (0.80-0.93). Powell reached the useful rule-out threshold (LR- 0.20).2 studiesUngraded
Coronal and/or root caries increment
Multivariable caries prediction model vs Additional prediction model(s) · Follow-up ≥1 year
LR− 0.20 [0.04, 0.90]1 studyUngraded

1 including review in total.