Subgroup results can be misleading for reasons based on the factors underlying trial participation.

These results can result in incorrect beliefs about the efficacy of treatments in clinical populations.

Examining multiple potential modifiers of treatment effect at once, rather than conducting multiple crude subgroup analyses, can yield useful information about how and why variables are associated with subgroup differences in treatment effects.