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      A systematic review and meta-analysis on adverse childhood experiences: Prevalence in youth offenders and their effects on youth recidivism

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      Child Abuse & Neglect
      Elsevier BV

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          Relationship of Childhood Abuse and Household Dysfunction to Many of the Leading Causes of Death in Adults

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            PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies

            Clinical prediction models combine multiple predictors to estimate risk for the presence of a particular condition (diagnostic models) or the occurrence of a certain event in the future (prognostic models). PROBAST (Prediction model Risk Of Bias ASsessment Tool), a tool for assessing the risk of bias (ROB) and applicability of diagnostic and prognostic prediction model studies, was developed by a steering group that considered existing ROB tools and reporting guidelines. The tool was informed by a Delphi procedure involving 38 experts and was refined through piloting. PROBAST is organized into the following 4 domains: participants, predictors, outcome, and analysis. These domains contain a total of 20 signaling questions to facilitate structured judgment of ROB, which was defined to occur when shortcomings in study design, conduct, or analysis lead to systematically distorted estimates of model predictive performance. PROBAST enables a focused and transparent approach to assessing the ROB and applicability of studies that develop, validate, or update prediction models for individualized predictions. Although PROBAST was designed for systematic reviews, it can be used more generally in critical appraisal of prediction model studies. Potential users include organizations supporting decision making, researchers and clinicians who are interested in evidence-based medicine or involved in guideline development, journal editors, and manuscript reviewers.
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              Measuring nominal scale agreement among many raters.

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                Author and article information

                Journal
                Child Abuse & Neglect
                Child Abuse & Neglect
                Elsevier BV
                01452134
                June 2023
                June 2023
                : 140
                : 106055
                Article
                10.1016/j.chiabu.2023.106055
                37142357
                2352f63d-2691-4d2a-98f8-8ea43be5e520
                © 2023

                https://www.elsevier.com/tdm/userlicense/1.0/

                http://creativecommons.org/licenses/by-nc-nd/4.0/

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