Understanding benefits, risk and cancer statistics

Doctors might use numbers or percentages to describe the known risks of a treatment or to give you useful information about statistics. Understanding benefit, risk and statistics can be helpful when making treatment decisions.

What is benefit?

A benefit is something good or helpful that happens as a result of doing (or not doing) something. For example, a healthy diet benefits your health because you are less likely to be overweight. As a result, you reduce your risk of certain health conditions.

A benefit of cancer treatment may be that the cancer is cured or controlled, sometimes for many years. The cancer staying the same size, or growing at a slower rate for a time, can also be a benefit.

What is risk?

Risk is the chance something harmful or unwanted might happen because of a test or treatment. Risk can also be the result of not doing anything.

How you feel about risk might be affected by your experiences. For example, if you know someone who has had lots of side effects from a cancer drug, this might affect your view of all cancer drugs. You may worry more about your risk of side effects than someone else who has not had this experience. But it is important to remember that:

  • different cancer drugs have different types of side effects
  • even with the same drug, not everyone has the same side effects
  • there are also effective ways to help to prevent or reduce side effects.

Describing risk

Risk can be described in different ways. Healthcare professionals often describe situations as low-risk or high-risk. These words can mean different things to different people. Using numbers can sometimes be clearer.

You can show numbers in different ways. A doctor might describe risk using percentages (%), fractions or likelihood.

For example, 25 out of 100 can be described as:

  • 25%
  • 25 out of 100
  • 0.25
  • ¼.

It can help to think about risk in both ways. For example:

  • 25 out of 100 people had this side effect
  • 75 out of 100 people did not have this side effect.

Drug side effects and risk

You can read more about cancer drugs and their risk of side effects. We do not list every side effect. If you want more information, your cancer doctor, specialist nurse or pharmacist can explain this.

You can also visit the electronic Medicines Compendium (eMC) for detailed information. They use the following terms to describe how likely a side effect is to happen:

  • very rare – may affect up to 1 in 10,000 people
  • rare – may affect up to 10 in 10,000 people
  • uncommon – may affect up to 100 in 10,000 people
  • common – may affect up to 1,000 in 10,000 people
  • very common – may affect more than 1,000 in 10,000 people.

This kind of information can help you to view risk in a realistic way. The information is based on evidence and studies of each side effect. Even common side effects may be less likely than you thought, before looking at these numbers.

It is important to get good evidence to help you make informed decisions. You can then talk to your cancer doctor or specialist nurse, who can help you to understand what it means for your situation.

Types of risk

It can be difficult to understand how risk relates to you.

When describing risk, doctors sometimes talk about absolute risk and relative risk. Or you might read these terms in a research paper.

Ask your GP or cancer doctor if the numbers they give you are absolute or relative risk. If you are not sure about what a level of risk means, ask your GP, cancer doctor or specialist nurse to explain things in more detail.

  • Absolute risk

    Absolute risk is the likelihood of something happening to a person over a time. For example, a person might have a 1 in 10 risk of developing a certain disease in their life. This can also be described as a 10% risk.

  • Relative risk

    Relative risk compares risk in 2 different groups of people. For example, the risk of developing lung cancer in a group of smokers and a group of non-smokers.

Understanding absolute risk and relative risk

The following examples explain the difference between absolute risk and relative risk.

This is just an example and does not refer to any real medicine or research.

The doctor tells someone the following:

  • You have a 6 in 100 (6%) risk of developing disease A at some point in your life.
  • Research shows if you take drug X, your risk drops from 6 in 100 (6%) to 3 in 100 (3%).

The reduction in risk can be described in 2 different ways.

Absolute risk

The absolute risk of developing the disease without drug X is 6%. But with drug X it is 3%. The absolute risk reduction is 3% (6 minus 3).

When deciding on a treatment, you and your cancer doctor could talk about whether the reduction in absolute risk outweighs the overall risks and side-effects.

Relative risk

The risk has dropped from 6% to 3%. It is now half as large as it was. Because a half can also be described as 50%, the risk has been reduced by 50%. This is the relative risk reduction.

If you hear that a drug or treatment reduces your risk by 50%, you would probably be very interested. You may feel differently to hear that it reduces your absolute risk by 3%.

Relative risk reduction is often used in the media to describe how effective a treatment is. It often sounds more dramatic than absolute risk reduction.

It is important to talk to your team about both types of risk and what this means for your situation.

It can be difficult to think about how statistics relate to you as an individual and which percentage group you are likely to be in. You can talk to your cancer doctor or specialist nurse and ask for their advice on your situation.

We have more information about making treatment decisions.

 

What are statistics?

Your cancer doctor may use statistics to tell you what they know about how effective a treatment is.

Statistics are a way of presenting information using numbers  They are usually based on large numbers of people.  Statistics cannot tell you exactly what is going to happen to you. But they can give you an idea of how likely each outcome is.

You might find some statistics helpful when making treatment decisions. Your cancer doctor also uses cancer survival statistics to give more information about your prognosis.

Understanding statistics

Ways of presenting information

The following example shows how information can be presented in different ways. This is an imaginary example. It does not refer to any real drug or research. It shows that when making treatment decisions it is important to think about both:

  • how effective a treatment is
  • its possible side effects.

Example: A cancer doctor talks to someone who is going to start chemotherapy about a new drug which may help to prevent hair loss. Before taking the drug, the person wants to know how well the drug works. Of 100 people who took the new drug:

  • 10 people had no hair loss (10%)
  • 23 people had a little hair loss (23%)
  • 37 people had a lot of hair loss (37%)
  • 30 people had total hair loss (30%).

The new drug slowed down or stopped total hair loss for 70 people (10+23+37). But 67 of the 100 people who took the drug had a lot of or total hair loss (37+30).

The numbers in each group can also be shown in a diagram to make this clearer.

Pie chart showing how many people had hair loss and how much hair loss they had

Pie chart showing how many people had hair loss and how much hair loss they had
Image: An example pie chart, showing how statistics about hair loss might be shown for a particular study. The diagram aims to show an example of how cancer statistics may be presented.
The person now has an idea of how effective this drug is. But they also need to know its possible side effects and how many people are affected.

The doctor tells them that side effects included:

  • headaches
  • feeling tired
  • a sore throat.

Of the 100 people in the study:

  • 50 people had headaches (50%)
  • 80 people felt tired (80%)
  • 25 people had a sore throat (25%).

Some people had rarer side effects:

  • 1 person had an allergic reaction (1%)
  • 2 people had very itchy skin (2%)
  • 4 people had pain in their stomach (4%).

Some people had no side effects at all, while others had more than 1 side effect.

Bar chart showing the possible side effects of the drug and how many people were affected

Bar chart showing the possible side effects of the drug and how many people were affected
Image: A bar chart that aims to show how statistics about treatment side effects might be presented for a particular medical study. The diagram aims to show an example of how cancer statistics may be presented.

The person also wants to know how people’s lives were affected by the side effects. The doctor tells of the 100 people who took the new drug:

  • 72 people had mild side effects or no side effects (72%)
  • 23 people had side effects that affected their day-to-day lives (23%)
  • Only 5 people had side effects so severe they had to stop taking the drug (5%).

This information can be shown in an emoji (smiley face) diagram.

‘Smiley face’ diagram showing how people’s lives were affected by the side effects

‘Smiley face’ diagram showing how people’s lives were affected by the side effects
Image: An example diagram using emoji faces to show how many people had mild side effects, compared with those who had significant or severe side effects. There are different coloured faces with different expressions. The diagram aims to show an example of how cancer statistics may be presented.

 

Date reviewed

Reviewed: 01 July 2023
|
Next review: 01 July 2026
Trusted Information Creator - Patient Information Forum
Trusted Information Creator - Patient Information Forum

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