Cross-sectional validation reveals an effective tool for estimating extraction difficulty, suggesting improved surgical outcomes.
The preoperative assessment form is a valid tool for estimating third molar extraction difficulty. Its global score is positively associated with surgery time, perceived difficulty, surgical technique, and postoperative complications. Machine learning models showed better performance at modeling surgery time than surgical difficulty.
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Sánchez-Torres et al. (2020) studied this question.
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