Concordance analysis demonstrates good agreement of SF-PROBAST with PROBAST, suggesting implications for risk assessment accuracy.
SF-PROBAST showed good agreement with PROBAST scores and offers a reliable, simplified, time-efficient two-step alternative for assessing the methodological quality of prediction models. To assess potential misclassification, we recommend applying the full PROBAST to studies scored as low or unclear ROB on the SF-PROBAST.
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Langenhuijsen et al. (2026) studied this question.
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