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Article Abstract
In an effort to improve the quality of systematic reviews and meta-analysis in the clinical urology literature, a group of statisticians developed a set of guidelines to address common errors of analysis, reporting and interpretation. One key focus is the assessment and interpretation of between-studies heterogeneity. Application of the guidelines will help avoid 'cookie cutter science' and lead to more considered analysis and interpretation of systematic reviews and meta-analyses.
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