Data extraction error and its implications on systematic reviews in urology: a protocol

This study addresses the often-overlooked issue of data extraction errors in urology systematic reviews, which could impact the reliability of evidence-based decisions. By evaluating the reproducibility of data extraction, the study aims to enhance methodological rigor in urological reviews and improve the validity of conclusions drawn from evidence synthesis. Despite its limitations, this research will contribute valuable insights into the quality of systematic reviews and guide future improvements in evidence-based practice.