When continuous outcomes are measured using different scales: guide for meta-analysis and interpretation

Abstract

When an outcome is measured using several scales (eg, quality of life or severity of anxiety or depression), it requires standardization to be pooled in a meta-analysis Common methods of standardization include using the standardized mean difference, converting continuous data to binary relative and absolute association measures, the minimally important difference, the ratio of means, and transforming standardized effects back to original scales