Dr. Abdulaziz BinSaeed & Dr. Hayfaa A. Wahabi Department of Family & Community medicine  11-1433 Case-Control Studies.

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Presentation transcript:

Dr. Abdulaziz BinSaeed & Dr. Hayfaa A. Wahabi Department of Family & Community medicine  Case-Control Studies

Objectives: After this session, you will be familiar with:  The basic design of a case-control study  The type of research questions for which the case-control study is used.  Measurement of association in case-control studies.  The advantages and limitations of case-control studies  Example of applications of case-control designs

 The case-control study is an analytic epidemiologic research design in which the study population consists of groups who either have (cases) or do not have a particular health problem or outcome (controls).  The investigator looks back in time to measure exposure of the study subjects. The exposure is then compared among cases and controls to determine if the exposure could account for the health condition of the cases.

Design of Case-Control Studies The investigator selects cases with the disease, and appropriate controls without the disease and obtains data regarding past exposure to possible etiologic factors in both groups. The investigator then compares the frequency of exposure of the two groups.

Study groups Cases (diseased) Controls (no disease) Risk factor present Risk factor absent Risk factor present Risk factor absent present past time Study begins here

The type of research questions the case- control study is used for 1.When experimental trials (e.g. RCT) are not ethical or feasible, (lung cancer and smoking) 2.When cohort studies are expensive or non-feasible e.g. (to investigate etiology of rare disease e.g. cancer)

3. When funding and time constraints are not compatible with a cohort study. 4. Case ascertainment system in place: The conduct of a case-control study may be facilitated by the availability of a case-ascertainment system e.g. a) Population-based cancer registry b) Hospital-based surveillance systems

 Definition of cases is the first task of the investigator in case control studies.  Case ascertainment is important through hospital records and specific investigations.  It is often recommended to choose incident (newly diagnosed) cases because exposure is recent and easy to recall. 8

 Cases admitted to or discharged from a hospital, clinic or any health care facility.  Cases reported or diagnosed during a survey or surveillance system  Incident cases in a going cohort study  Death certificates with recorded cause of death.  Employment records.  Institutional records 9

It is crucial to set up control group (s) from people who are certain not to have got the specified disease/condition. The aim of the control group is to compare the exposure rate among both cases and controls (% smoking among cases and controls) 10 SELECTION OF CONTROL

Then to confirm/refute if that the risk factor has occurred more frequently in the cases than in the controls using the measurement of association.

Hospital controls Advantages of hospital controls:  Subjects are easily accessible.  Patients usually have time to participate.  Patients are often motivated to cooperate with investigators. 12

 1-Hospital controls …..Advantages of hospital controls  Controls and cases may be drawn from similar social and geographical environment.  Differential recalls of prior exposure is likely to be minimized. 13

Disadvantages of hospital controls:  Differential hospitalization patterns may introduce selection bias.  Difficult to blind disease status from cases and controls. 14 Hospital controls SOURCE OF CONTROL

 An underestimate of the study effect may be obtained if control’s disease is etiologically similar to cases’ disease Hospital controls …..disadvantages of hospital controls SOURCE OF CONTROL

Community control:  A probability sample of a defined population, if cases do belong to that population or a sample of relatives or associates of cases or neighborhood controls. Advantages of community controls  Reduction of selection bias.  Generalization of study results is more valid.  May provide convenient control of extraneous variables. 16

 Time and money consuming.  May suffer low participation rate.  Cases and control may exhibit differential recall of prior exposures. 17 Disadvantages of community controls

 Ideal : 1 : 1  In case of Rare Cases Increase Controls. up to 1 : 4  More than 4 controls per one case will not add much to study power 18

Disease status Cases Controls Exposure Yes NO BA DC B+DA+C 19

 Risk of Association can be estimated in case control studies by means of odds ratio (OR) which is the ratio of odds of exposure among diseased to the odds of exposure among controls. 20

 Calculating Odds = (number exposed  number unexposed) Odds (Cases) = A/C Odds (controls) = B/D Calculating Odds ratio or cross product ratio: Odds Ratio = (A/C) / (B/D) = AD/BC 21

Cases Controls 22/11/ Myocardial infarction (MI) Other illnesses/ Free of any illness EXPOSEDSMOKED NOT EXPOSED NEVER SMOKED EXPOSEDSMOKED NOT EXPOSED NEVER SMOKED Compare proportions of exposed in cases and controls

Cases (MI) Controls Smokers Never smokers Total % smokers 55% 37.5% If disease is related to smoking then more cases than controls would be smokers 23

 Calculate Odds ratio (cross product ratio) CasesControls Exposed Not exposed OR= ad/bc = [(110X250)/(150X90)] = 27500/ = 2 Odds of exposure in cases : two times compared to controls 24

> 1: means the exposure is a risk factor. = 1: means the exposure is not associated with the disease. < 1: means the exposure is protective 25 Interpretation of (OR) odds ratio

OR>1 OR<1OR=1 Odds of exposure for cases are greater than the odds of exposure for controls Odds of exposure for cases are less than the odds of exposure for controls Odds of exposure are equal among cases and controls Odds comparison between cases and controls Exposure increases disease risk (Risk factor) Exposure reduces disease risk (Protective factor) Particular exposure is not a risk factor Exposure as a risk factor for the disease? Interpretation of (OR) odds ratio

The risk of Myocardial infarction (MI) is two times higher among smokers compared to non smokers. Smoking is a risk factor for MI How to interpretation of (OR) odds ratio from the previous example?

1. Useful in study of rare diseases 2. Rapid evaluation of disease with a long latency. e.g. chronic diseases 3. Multiple exposures (risk factors) could be studied 4. Useful in early stages of the development of knowledge. 5. Does not require large samples and requires less money and personnel so it is eefficient, quick and cheap. 28 Advantages of case control study

 Not practical for rare exposures.  Historical information often can not be validated.  Relevant cofactors may be difficult to control.  Selective survival may bias the comparison.  Liable to different sources of bias, selection bias, recall bias, interviewer’s bias. 29 Disadvantages of case control study

How are you going to design a case control study to investigate the association between the use of mobile phones and meningioma?

How are you going to select the cases? How are you going to select the control group? How are you going to collect data about the use of mobile phones on both cases and control? How are you going to measure the association between the use of the mobile phones and the meningioma?

The following are hypothetical data from the study your case control study What is the Odds Ratio for meningioma in 1 year and in 10 years?

Calculate Odds ratio (cross product ratio) for 1 year use CasesControls Exposed Not exposed OR= ad/bc = [(247X1254)/(242X1180)] = / = 1.08 Odds of exposure to mobile phones for 1 year is almost similar in cases and controls

Calculate Odds ratio (cross product ratio) for 10 years use CasesControls Exposed 3116 Not exposed OR= ad/bc = [(31X1254)/(16X1180)] = 38874/ = 2.0 Odds of exposure to mobile phones for 10 years is twice as much in cases compared to controls