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Significant – Meaning in Medicine and Statistics

Significant in medicine and science describes a result that is statistically meaningful and unlikely to have occurred by chance alone.

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Things worth knowing about "Significant"

Significant in medicine and science describes a result that is statistically meaningful and unlikely to have occurred by chance alone.

What does significant mean?

Significant is a term widely used in science and medicine to describe a result that is considered statistically meaningful. When a clinical study reports a statistically significant finding, it means the observed effect or difference is unlikely to be due to random chance and is supported by measurable, reliable data.

Importance in Medicine and Research

In medical research, significance is a key concept for evaluating study results. It helps clinicians and scientists determine whether an observed effect – such as the effectiveness of a medication or the relationship between a risk factor and a disease – is real and dependable, or whether it merely reflects random variation in the data.

The p-Value as a Measure

Statistical significance is most commonly expressed through the p-value (probability value). The p-value indicates how likely it would be to observe a result at least as extreme as the one found, assuming there is no real effect (the so-called null hypothesis). Common thresholds include:

p < 0.05: The result is considered statistically significant (less than a 5% probability of occurring by chance).
p < 0.01: Highly significant.
p < 0.001: Very highly significant.

However, a p-value alone does not convey the clinical relevance of a finding. A statistically significant result may still have little practical importance in a real-world medical setting.

Clinical Significance vs. Statistical Significance

It is important to distinguish between statistical significance and clinical significance:

Statistical significance indicates that a result is likely not due to chance.
Clinical significance describes whether the measured effect actually makes a noticeable difference for patients in everyday life.

For example, a new medication might statistically significantly lower blood pressure, but the actual reduction may be so small that it has little meaningful impact on patient health. Conversely, a clinically important effect may not appear statistically significant in a small study due to an insufficient sample size.

Significance in Clinical Practice

Beyond research, the word significant is also used in everyday clinical medicine to highlight an important finding. For instance, a physician might refer to a significant stenosis (narrowing of a blood vessel) to indicate that the degree of narrowing requires clinical attention and possible treatment. In this context, the term is used more informally but still with medical precision.

Common Misconceptions

A frequent misconception is that statistically significant results are automatically important or conclusive. In reality, the validity and relevance of a result depend on many additional factors, including study design quality, sample size, and the reproducibility of findings across multiple studies.

References

World Health Organization (WHO): A Glossary of Terms for Community Health Care and Services for Older Persons. WHO Publications.
Röhrig B. et al. – Types of Study in Medical Research. Deutsches Ärzteblatt International, 2009.
Greenhalgh T. – How to Read a Paper: The Basics of Evidence-Based Medicine. BMJ Books, 5th Edition, 2014.

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