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Maxillary Canine Impaction Prediction Methods by FELIPE JOEL LAZO MORA is a document available to read on EtoBox.

This systematic review assesses prediction methods for maxillary canine impaction (MCI) based on a search of 2391 articles, ultimately including 11 studies in the analysis. The review highlights that while some prediction models based on canine position and facial growth patterns show potential, the overall quality of evidence is low to moderate due to biases in the studies. Further research with improved methodological quality and long-term follow-up is necessary to validate these prediction methods.

Author
FELIPE JOEL LAZO MORA
Language
EN