Lecture 9 - Review Flashcards

1
Q

What is incidence?

A

Number of new cases of disease in a population over a period of time

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2
Q

What is prevalence?

A

Total number of people who have a particular disease or attribute over a specified period of time

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3
Q

Is case-control studies retrospective or prospective?

A

Retrospective
(Start with the case then work backwards to see if they had exposure)

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4
Q

What are some feartures of high quality stduueoos?

A

Large sample size
Prospective studies
Blinded
Random allocation of subjects to groups
Control group
Low loss to follow up

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5
Q

What is confounding?

A

External environmental variables which are independently associated with the exposuuure and the outcome but are not in the causal pathway

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6
Q

What is bias?

A

Systematic error in an epidemiological study that results in an incorrect estimate of the association between the exposure and the condition

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7
Q

How does the timing of case-control and cohort studies differ?

A

Case-control = retrospective
Cohort = prospective

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8
Q

How does the timing of case-control and cohort studies differ?

A

Case-control = retrospective
Cohort = prospective

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9
Q

How do case-control and cohort studies differ in terms of rare diseases?

A

Case-control = good for rare diseases

Cohort = good for rare exposure

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10
Q

How do case-control and cohort studies differ in terms of calculating incidence?

A

Case control = cannot calculate incidence

Cohort = can calculate incidence

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11
Q

How do case-control and cohort studies differ in terms of risk of bias?

A

Case control = risk of recall bias

Cohort = less risk of bbias

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12
Q

What is the positive predicted value?

A

Proportion of people with a positive test result that actually have the condition

You test positive, what are the chances you actually are positive

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13
Q

What is the negative predicted value?

A

Proportion of people with a negative test result that do not have the condition

You test negative, what are thee chances you actually are negative

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14
Q

What is sensitivity?

A

How good a test is at detecting the specific condition (So the TRUE POSITIVE RESULT)

So you have the condition, what is the chance the test says you have it

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15
Q

What is specificity?

A

How good a test is at only detecting the specifc condition (so TRUE NEGATIVE RESULT)

You are negative for the condition, what is the chances that the test says you are negative

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16
Q

What is risk ratio?

A

Risk of disease in the exposed/risk of disease in the unexposed

17
Q

What type fo study are risk ratios used in?

A

Cohort studies

18
Q

What is odds ratio?

A

Disease in the exposed/ disease in unexposed

19
Q

What studies are odds ratios used in?

A

Case-control studies

20
Q

What studies are odds ratios used in?

A

Case-control studies

21
Q

What is meant by p<0.05?

A

Paper is 95% confident that the risk ratio lies in between the confidence interval

22
Q

What is the null value for risk ratios?

A

1

23
Q

What is the significance of p<0.05 and the value 1 is not in the 95% confidence interval?

A

We can reject the null hypothesis so the data is statistically significant

24
Q

Look at slide 14 , then the confidence interval, is this statistically significant?

A

The value 1 lies outside of the confidence interval, with 95% certainty we can reject the null hypothetical and women aged 18-45 are at a 2.5x greater risk of DVT over 5 years if they take the COCP compared to those who dont

25
Q

Comment on, reducing risk of MU in patients

RR - 0.32 0.17 - 0.79 (p<0.05)

A

The results are statistically significant since theres the null value of 1 is not within the 95% confidence interval and p<0.05 so Atorvastatin reduces risk of MI in patients witht high cholesterol by 68%