© 2021 The Author(s)Objectives: To assess the predictive performance of caries risk assessment (CRA) models for prediction of caries increment for individuals based on a systematic review and meta-analyses. Data/Sources: We included external validation studies assessing the predictive performance of CRA models for prediction of caries increment for individuals, using discrimination and calibration as the outcome parameters. PubMed, EMBASE, and CINAHL were searched electronically on 10th September 2020 to identify prediction modeling studies on external validation of CRA models. The risk of bias of the included studies was assessed using the Prediction model Risk Of Bias ASsessment Tool (PROBAST). Study selection: A total of 22 studies with ...
Purpose: to evaluate the value of CariScreen meter as a part of the caries risk assessment tool in ...
BACKGROUND: Predicting future risk for oral diseases, treatment need and prognosis are tasks perform...
Objective: To evaluate effects of thresholds on estimates of predictive accuracy of methods for cari...
Abstract Background Assessing caries risk is an essential element in the planning of preventive and ...
Probabilistic caries risk assessment models (P-CRA), such as the Cariogram, are promising tools to p...
Probabilistic caries risk assessment models (P-CRA), such as the Cariogram, are promising tools to p...
BACKGROUND: Multivariable prediction models are used in oral health care to identify individuals wit...
BACKGROUND Assessing caries risk is an essential element in the planning of preventive and therap...
Probabilistic caries risk assessment models (P-CRA), such as the Cariogram, are promising tools to p...
DATA SOURCES: Data were sourced from the Cochrane Oral Health Groups Specialised Register, Cochrane ...
Background: At present, there are numerous caries risk assessment tools (CRATs) being promoted for d...
Objectives: To evaluate the accuracy of different methods used to identify individuals with increase...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/153638/1/jddjde019017.pd
Background At present, there are numerous caries risk assessment tools (CRATs) being promoted for d...
Abstract Background The aim of this study is to assess the caries prediction of the reduced Cariogra...
Purpose: to evaluate the value of CariScreen meter as a part of the caries risk assessment tool in ...
BACKGROUND: Predicting future risk for oral diseases, treatment need and prognosis are tasks perform...
Objective: To evaluate effects of thresholds on estimates of predictive accuracy of methods for cari...
Abstract Background Assessing caries risk is an essential element in the planning of preventive and ...
Probabilistic caries risk assessment models (P-CRA), such as the Cariogram, are promising tools to p...
Probabilistic caries risk assessment models (P-CRA), such as the Cariogram, are promising tools to p...
BACKGROUND: Multivariable prediction models are used in oral health care to identify individuals wit...
BACKGROUND Assessing caries risk is an essential element in the planning of preventive and therap...
Probabilistic caries risk assessment models (P-CRA), such as the Cariogram, are promising tools to p...
DATA SOURCES: Data were sourced from the Cochrane Oral Health Groups Specialised Register, Cochrane ...
Background: At present, there are numerous caries risk assessment tools (CRATs) being promoted for d...
Objectives: To evaluate the accuracy of different methods used to identify individuals with increase...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/153638/1/jddjde019017.pd
Background At present, there are numerous caries risk assessment tools (CRATs) being promoted for d...
Abstract Background The aim of this study is to assess the caries prediction of the reduced Cariogra...
Purpose: to evaluate the value of CariScreen meter as a part of the caries risk assessment tool in ...
BACKGROUND: Predicting future risk for oral diseases, treatment need and prognosis are tasks perform...
Objective: To evaluate effects of thresholds on estimates of predictive accuracy of methods for cari...