While interim data can provide valuable insights, it also comes with risks. One significant risk is the potential for bias in interpreting the results. Early data may not fully represent the treatment's long-term efficacy or safety. Furthermore, making decisions based on interim data can sometimes lead to premature conclusions, either overestimating or underestimating the treatment's benefits or risks.
