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Evaluating Medical Breakthroughs — Why Randomized Controlled Trials are so Important

Evaluating Medical Breakthroughs — Why Randomized Controlled Trials are so Important

Two scientists look at a computer screen evaluating the results of a randomized clinical trialA new drug medical treatment or test comes on the market. It sounds promising. But is it safe? Is it effective? Is there a way to know?

In the words of W. Edwards Deming, “In God we trust, all others [must] bring data.”

One way to “bring data” in testing the effectiveness of a new medical intervention is a randomized controlled trial (RCT). An RCT study evaluates the effectiveness of a medication or medical treatment by encouraging a bias-free evaluation.

If you conduct an Internet news search for “randomized controlled trial,” you’ll find tens of thousands of trial results being shared on everything from vaccinations for shingles to whether eating protein will benefit elderly men. These trials often receive media attention because they are considered the “gold standard” of clinical trials.

In fact, according to BMJ, RCTs are “most rigorous way of determining whether a cause-effect relation exists between treatment and outcome and for assessing the cost effectiveness of a treatment.”

What makes these trials so highly regarded? The answer lies in the design of the trials themselves.

Components of a Randomized Controlled Trial

From setup to completion, a high-quality RCT is dependent on its design to ensure quality and impartiality. These are some of the main components of an RCT:

  • Endpoints: Primary and secondary endpoints are determined before the study starts.
    • The primary endpoint is the outcome that is considered most important for evaluating the effect of an intervention.

Secondary endpoints evaluate other effects of the intervention.

  • Study Population: The RCT needs to define the exact criteria for who is eligible to participate in the trial and should reflect those who suffer from the condition or disease. Additionally, a large sample size from diverse areas can add to the strength of the study.
  • Randomization: Once a representative sample of patients are selected, they are randomly assigned into different study groups (experimental and control) to ensure the groups are comparable.
    • The experimental group will receive the new treatment or medication that is being tested; the control group will receive treatment as usual. This enables researchers to evaluate which group demonstrated the most improvement in symptoms and/or disease markers.
    • According to the National Institute of Health’s Office of Behavioral & Social Science Research, randomization is important to achieve balance: “patients in different groups are similar for characteristics such as age, gender, social class, time of year of presentation, country of presentation, and type of hospital.”
    • For example, randomization means that both the experimental and control group have equal representation in men, or people aged 20-45, or from the US.
  • Blinding: Blinding means hiding the treatment from either patient or the physician/test administrator. So, for example, in a medication RCT, the patient may be given a placebo and neither the patient or the physician would know that it is a placebo.
    • Double-blind study: neither the patient nor physician know which treatment is being given.
    • Double-blind pharmacogenomics study: Since the physician uses the genetic test to guide medication selection, the patient and the “central raters” are blinded – meaning it’s not clear who had taken the genetic test and who had not. The central raters administer the depression rating scale to assess the patient’s depression severity.

All these steps work to ensure the most unbiased test results. By eliminating the placebo effect (in which a patient has a response to a placebo) and isolating the impact of the intervention through blinding, RCTs can lead to great advancements in the medical arena.

This blog is for informational purposes only and does not constitute medical advice. Do not make any changes to your current medications or dosing without consulting your healthcare provider.

The GeneSight test must be ordered by and used only in consultation with a healthcare provider who can prescribe medications. As with all genetic tests, the GeneSight test results have limitations and do not constitute medical advice. The test results are designed to be just one part of a larger, complete patient assessment, which would include proper diagnosis and consideration of your medical history, other medications you may be taking, your family history, and other factors.

If you are a healthcare provider and interested in learning more about the GeneSight test, please call us at 855.891.9415. If you are a patient, please talk with your doctor to see if the GeneSight test may be helpful.

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