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Evidence-Based Medicine

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Sensitivity analysis<br />

Analysis to test if results from meta-analysis are sensitive to restrictions on<br />

the data included. Common examples are large trials only, higher quality trials<br />

only, and more recent trials only. If results are consistent this provides stronger<br />

evidence of an effect and of generalisability.<br />

Sham treatment<br />

An intervention given in the control group of a clinical trial, which is ideally<br />

identical in appearance and feel to the experimental treatment and believed<br />

to lack any disease specific effects (e.g. detuned ultrasound or random<br />

biofeedback).<br />

Placebo is used for pills, whereas sham treatment is used for devices,<br />

psychological, and physical treatments. We always try and provide information<br />

on the specific sham treatment regimen.<br />

Significant<br />

Significance comes in 2 varieties:<br />

Statistical significance is when the p-value is small enough to reject the null<br />

hypothesis of no effect; where clinical significance is when the effect size is large<br />

enough to be potentially considered worthwhile by patients. By convention,<br />

taken to mean statistically significant at the 5% level. This is the same as a 95%<br />

confidence interval not including the value corresponding to no effect.<br />

SnNout<br />

When a sign/test has a high sensitivity, a negative result rules out the diagnosis;<br />

e.g. the sensitivity of a history of ankle swelling for diagnosis ascites is 92<br />

percent, therefore, is a person does not have a history of ankle swelling, it is<br />

highly unlikely that the person has ascites.<br />

Specificity (Sp)<br />

Percentage of patients ( or the proportion of people) without (free of) disease<br />

who have a negative test for the disease in question. See also SpPins and<br />

SnNouts.<br />

SpPin<br />

When a sign / test / symptom has a high Specificity, a Positive result rules<br />

in the diagnosis. For example, the specificity of Western plot test for HIV for<br />

diagnosing HIV is 98% therefore if a person does have a positive western plot<br />

test, it rules in the diagnosis of HIV.<br />

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