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  2. Blood glucose monitoring - Wikipedia

    en.wikipedia.org/wiki/Blood_glucose_monitoring

    Blood glucose monitoring is the use of a glucose meter for testing the concentration of glucose in the blood ().Particularly important in diabetes management, a blood glucose test is typically performed by piercing the skin (typically, via fingerstick) to draw blood, then applying the blood to a chemically active disposable 'test-strip'.

  3. Glucose test - Wikipedia

    en.wikipedia.org/wiki/Glucose_test

    A level below 5.6 mmol/L (100 mg/dL) 10–16 hours without eating is normal. 5.6–6 mmol/L (100–109 mg/dL) may indicate prediabetes and oral glucose tolerance test (OGTT) should be offered to high-risk individuals (old people, those with high blood pressure etc.). 6.1–6.9 mmol/L (110–125 mg/dL) means OGTT should be offered even if other ...

  4. Glucose tolerance test - Wikipedia

    en.wikipedia.org/wiki/Glucose_tolerance_test

    The glucose tolerance test was first described in 1923 by Jerome W. Conn. [4]The test was based on the previous work in 1913 by A. T. B. Jacobson in determining that carbohydrate ingestion results in blood glucose fluctuations, [5] and the premise (named the Staub-Traugott Phenomenon after its first observers H. Staub in 1921 and K. Traugott in 1922) that a normal patient fed glucose will ...

  5. Abbott Laboratories Recalls 359 Million Diabetes Test Strips

    www.aol.com/news/2010-12-22-abbott-laboratories...

    Abbott's diabetes treatment products account for about 4% of the company's sales. Shares of the company had dipped 0.3% to $47.84 by about 7 p.m. Wednesday. Get info on stocks mentioned in this ...

  6. Category:Diabetes-related tests - Wikipedia

    en.wikipedia.org/.../Category:Diabetes-related_tests

    Various blood tests and other laboratory tests related to diabetes of all types. Pages in category "Diabetes-related tests" The following 12 pages are in this category, out of 12 total.

  7. False positives and false negatives - Wikipedia

    en.wikipedia.org/wiki/False_positives_and_false...

    The specificity of the test is equal to 1 minus the false positive rate. In statistical hypothesis testing, this fraction is given the Greek letter α, and 1 − α is defined as the specificity of the test. Increasing the specificity of the test lowers the probability of type I errors, but may raise the probability of type II errors (false ...

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