Evidence type

Randomised trials

Randomised trials are a key method for testing the effects of medical and health interventions. By randomly assigning participants, these studies aim to balance differences between groups and reduce bias, making their findings more reliable. However, they are not free from limitations, and careful interpretation is still needed.

Randomised trials—sometimes called randomised controlled trials (RCTs)—are regarded as a strong type of scientific evidence when testing the effects of medicines, interventions, or treatments. This is because randomisation aims to distribute known and unknown factors (confounders) evenly between the intervention group and comparison group.

What makes randomised trials stronger than other study types?

  • Randomisation: Participants are assigned to groups by chance, not by choice, which helps make the groups as similar as possible before the intervention starts.
  • Reduces bias: Random assignment cuts down on selection bias and some types of confounding.
  • Control groups: Many randomised trials include a placebo or standard-treatment control group for comparison.

Important factors and limitations

  • Sample size: Small trials can produce unreliable or inconclusive results, simply by chance.
  • Blinding: If participants and researchers do not know which group participants are in (blinding), this can further reduce bias. Unblinded trials are more vulnerable to bias.
  • Endpoints: Trials sometimes rely on "surrogate" endpoints (such as lab numbers) rather than direct measures like deaths or improved quality of life. Surrogate outcomes may not always predict meaningful benefits.
  • Duration and follow-up: Short studies may miss long-term effects or harms.
  • Generalisability: Results from one group or setting may not apply to other populations or real-world situations.
  • Reporting and publication bias: Positive or dramatic findings are more likely to be published, while negative or small effects may not be reported.

How to read randomised trial results

  • Check if the randomisation procedure and blinding are described clearly.
  • Look at the size and characteristics of the sample.
  • Consider whether the outcome measured is directly relevant to real-life health (not just a surrogate).
  • Find out if the trial ran long enough to detect both benefits and possible harms.
  • Be cautious of trial results that are not supported by larger or later studies.

In summary, randomised trials offer fewer opportunities for bias than many other study types, but they are not foolproof. Many randomised trials, especially small or short-term ones, may later be contradicted by larger or longer studies. It's always important to read beyond the headline and look at the whole trial report and its context within the wider body of evidence.

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