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Sensitivity and Specificity

Risk and evidence

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Sensitivity and Specificity

Sensitivity is how well a test catches disease; specificity is how well it rules it out.

Also called:

Test accuracy, true positive rate, true negative rate

Pronounced:

What it means

Two measures of how good a test is, pulling in opposite directions.

Sensitivity — how good it is at picking up people who do have the condition. A highly sensitive test is good for ruling out: if it is negative, you probably do not have it.

Specificity — how good it is at correctly clearing people who do not have it. A highly specific test is good for ruling in: if it is positive, you probably do have it.

Almost no test is excellent at both, and pushing one up usually pushes the other down. That trade-off explains a great deal about why medicine works the way it does — sensitive tests are used first to screen, specific tests second to confirm.

The D-dimer is the classic example: very sensitive, not specific. A negative one effectively excludes a clot; a positive one means very little on its own.

In practice

In discussions about why one test was chosen over another, and in explanations of why a positive result needs confirming.

Why it matters

Ask what a negative result actually rules out. For some tests it is nearly everything; for others it is very little.

Do not treat a positive screening result as a diagnosis. Screening tests are deliberately built to be sensitive rather than specific, which is exactly why most positives turn out to be nothing.

Dr Mohammad Zubair Khan, GMC-registered private GP and founder of Cheshire Clinics

Clinically reviewed by Dr Mohammad Zubair Khan, GMC 7563469

Last reviewed

August 30, 2026

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