Randomized controlled trial
A randomized controlled trial (RCT) is a study in which chance decides whether each participant receives the intervention being tested or a comparison, such as a placebo, so that the groups start out alike on average.
What it means in practice
"Randomized" means each participant has a known chance of getting each option, but nobody can predict which one they will get [1]. Done properly, randomization has two parts: an unpredictable allocation sequence, and keeping that sequence hidden from the people enrolling participants, called allocation concealment [1]. When it works, it balances both known and unknown factors that could affect the result, so that on average each group has the same outlook before the intervention starts [1][3].
"Controlled" refers to the comparison group. A trial can compare the intervention with a placebo or with an active comparator, meaning another real option [2]. Random assignment also lets researchers use probability to say how likely it is that a difference between groups reflects chance alone [1].
The word "random" on its own tells a reader little. The CONSORT reporting guideline asks authors to say how the sequence was made, such as with a random-number table or a computer random number generator [1]. When a trial report describes each group at the start, clear baseline differences between the groups can point to a problem with the randomization process [3].
Why it matters when reading nootropics research
The CONSORT authors note that RCTs are considered the gold standard for evaluating interventions because they can minimize or avoid bias [1]. They also note that poor design and poor reporting are linked to biased estimates of effects, so the label alone does not settle how far a trial can be trusted [1]. The Cochrane risk-of-bias tool has a separate domain for bias arising from the randomization process [3].
How randomized trials count toward a grade on this site is set out in how we grade evidence.
References
- Moher D, Hopewell S, Schulz KF, et al. CONSORT 2010 explanation and elaboration: updated guidelines for reporting parallel group randomised trials. BMJ. 2010.
- Kaplan RM, Irvin VL. Likelihood of Null Effects of Large NHLBI Clinical Trials Has Increased over Time. PLoS One. 2015.
- Cochrane. Cochrane Handbook for Systematic Reviews of Interventions, Chapter 8: Assessing risk of bias in a randomized trial. last updated October 2019 (Handbook version 6.5).