We keep reading and hearing about conflicting research and fantastic remedy cures. This needs a healthy dose of skepticism. At the very least we need to keep in mind that relationships between food/herbs and health/disease are not linear( see below). For example, the in vogue “magic” spice Turmeric in sensible amounts may be great thing, but in excess it can be a poison as well. How much more you need depends on how much do you consume currently as well as your physiological constitution.
Continue reading Let’s maintain healthy skepticism about nutrition researchTag Archives: Skepticism
Sensitivity vs. Specificity of Tests
This is for those who face critical choices about the course of treatment when deluged with data by medical practitioners, find out what the statistics relate to sensitivity or specificity?
“Sensitivity measures how often a test correctly generates a positive result for people who have the condition that’s being tested for (also known as the “true positive” rate). A test that’s highly sensitive will flag almost everyone who has the disease and not generate many false-negative results. (Example: a test with 90% sensitivity will correctly return a positive result for 90% of people who have the disease, but will return a negative result — a false-negative — for 10% of the people who have the disease and should have tested positive.)
Specificity measures a test’s ability to correctly generate a negative result for people who don’t have the condition that’s being tested for (also known as the “true negative” rate). A high-specificity test will correctly rule out almost everyone who doesn’t have the disease and won’t generate many false-positive results. (Example: a test with 90% specificity will correctly return a negative result for 90% of people who don’t have the disease, but will return a positive result — a false-positive — for 10% of the people who don’t have the disease and should have tested negative.)”
Source: Healthnewsreview.org
Article: “Understanding medical tests: sensitivity, specificity, and positive predictive value”
Ayurkula 