Primer 13 - Biostats, Studies And Diagnostic Tests. Flashcards

1
Q

What is a retrospective study?

A

The investigators ask the experiments to look back into their past to see relevant information such as traveling, what they ate, etc. to triangulate a certain risk factor.

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2
Q

What is a case-control study?

A

Retrospective, observational study with no intervention.

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3
Q

What does a case-control study yield and what does it mean?

A

Odds ratio (OR): compares the odds that someone will develop the bad outcome in the exposed group to the odds that someone will develop that bad outcome without the exposure.

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4
Q

What does a cohort study yield?

A

Relative risk or Risk ratio.

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5
Q

What does a case-control study do?

A

It compares a group of people with the disease (case) to a group of people without the disease(control), to look for potential risk factors and exposures that can account for that bad outcome.

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6
Q

How do you calculate risk ratio?

A

Divide the risk or rate of the disease in the exposed group by the risk or rate of the disease in the unexposed group.

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7
Q

What is a cross-sectional study?

A

It is a observational study of a population at one point in time (how many people in the US have COPD at as of January 13 2013): AKA prevalence.

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8
Q

What type of study can yield prevalence?

A

Cross-sectional study.

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9
Q

What is a Twin concordance study?

A

An observational study that looks at heterozygous and homozygous twins and measures the heritability of diseases and traits.

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10
Q

What is a clinical trial?

A

Experimental study, where the investigator intervenes to draw a conclusion. It uses human subjects.

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11
Q

What is a controlled clinical trial?

A

An experimental group receives an experimental treatment and a controlled group that gets a placebo or a comparative drug that is well known.

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12
Q

What is a randomized clinical trial and what does it avoid?

A

The participants are assigned to one group or another randomly. It avoids bias.

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13
Q

What does double blinded study means?

A

The study design does not allow either the participant or the investigator to know wether that participant is receiving the experimental treatment or placebo.

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14
Q

What is a Phase 1 trail for an experimental drug?

A

It looks to see if the experimental drug is safe: the drug is given to healthy subjects to see if the drug is safe and investigate the pharmacokinetics of it (how a healthy body handles the drug).

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15
Q

What is a Phase 2 trail for an experimental drug?

A

Looks to see if the experimental drug works: Patients with a disease are given an experimental drug and see the efficacy, appropriate dosage and adverse effect.

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16
Q

What is a Phase 3 trail for an experimental drug?

A

To see if the experimental drug works better: Is it better than a placebo or better than the established treatment?

17
Q

What is a Phase 4 trail for an experimental drug?

A

It is postmarketing surveillance: It looks for rare adverse effects and very long term effects once the experimental drug is on the market.

18
Q

What is a meta-analysis?

A

It combines data from many studies to give a better insight. It increases the statistical power, thereby reach statically better conclusions than in just individual studies.

19
Q

What are the x and y axis of a diagnostic test square?

A

On the Y axis is the Test (positive and negative) and the X axis is the Disease (positive and negative).

20
Q

What is a True Positive (TP) in a Diagnostic test?

A

People who test positive and how actually have the disease.

21
Q

What is a False Positive (FP) in a Diagnostic test?

A

People who Test positive but do not have the disease.

22
Q

What is a False Negative (FN) in a Diagnostic test?

A

People that have the disease but test negative for the disease.

23
Q

What is a True Negative (TN) in a Diagnostic test?

A

People that do not have the disease and are testing negative for the disease.

24
Q

How do we determine the sensitivity of a diagnostic test?

A

Sensitivity = True positive / (True positive + False negative).

25
Q

How do we determine specificity in a diagnostic test?

A

Specificity = True negative / (True negative + False negative).

26
Q

What is Positive predictive value (PPV) and is it calculated?

A

Positive Predictive value is the probability that subjects with a positive screening test truly have the disease.
PPV = True positive / (True positive + False positive).

27
Q

What is Negative predictive value (NPV) and is it calculated?

A

Negative predictive value is the probability that subjects with a negative screening test truly do not have the disease.
NVP: True negative / (False negative + True negative).

28
Q
What is the sensitivity, specificity, positive and negative predictive value using antibodies to X to detect disease X?
True positive: 800.
False positive: 200.
False Positive: 100.
False negative: 1400.
A

Sensitivity: 800/(800+100) = 0.889
Specificity: 1400/ (1400+ 200) = 0.875
PPV: 800/(800 + 200) = 0.8
NPV: 1400/(1400 + 100) = 0.933

29
Q

What changes the values of positive predictive value and negative predictive value?

A

Disease prevalence.

30
Q

A physician is looking for risk factors for pancreatitis. He interviews 100 hospitalized patients with pancreatitis and 100 hospitalized patients without pancreatitis. What type of study is this?

A

Case-control study.

31
Q

A group of smokers and a group of non-smokers are followed over 20 years. Every two years, it is determined who develops cancer and who does not. What type of study is this?

A

Cohort study; you started with an exposed population and looking for a specific outcome.

32
Q

A certain screening test has a 1% false-negative rate. What is the sensitivity of the test?

A

It is 99%; Sensitivity = 1 - false negative test.