Chapter 7- Observational studies Flashcards
Case report
An individual-level observation. Physicians can do this to describe a particular phenomenon in one patient or a series of patients with a similar problem. Along with case series, they are considered the simplest of study designs, or “pre-study” designs
Main objective of case reports and case series
To provide a comprehensive and detailed description of the cases under observation. This allows other physicians to identify and potentially report similar cases from their practice, especially when they share geographic or specific clinical characteristics. Case reports and case series are descriptive- they have no reference group to compare the observations to. However, the Brazilian case series regarding the association between Zika virus and microcephaly was important for developing CDC guidelines
Advantages and disadvantages of case reports and case series
Advantages- simple, inexpensive, and easy to conduct in a busy clinical setting
Disadvantages- lack of a major comparison group, generalizability is limited due to biased selection of cases. Any observed association is also prone to confounding
Ecologic studies
A study of group characteristics- generates the average values of two groups. These studies do not take into account any variation between the groups We may be ascribing to members of a group a characteristic that they do not possess as individuals. Often, researchers will use data that is easy to obtain and does not require following up or direct contact with the participants
Advantages and disadvantages of ecological studies
Advantage- can be used to suggest avenues of research that may be promising in casting light on etiologic relationships. Can be used to study the relationship between an individual and the community in which they live- some relationships are only strongly apparent in ecological studies
Disadvantage- ascribes characteristics to individuals that only apply to groups, does not demonstrate conclusively that a true association exists
Cross-sectional studies
Both exposure and disease outcome are determined simultaneously for each participant. It’s like we were viewing a snapshot of the population at a certain point in time. If looking at the relationship between CHD and cholesterol, patients would all be screened for high cholesterol and CHD at the same time. This approach identifies prevalent cases of disease- we know they existed at the time of the study but not their duration. Therefore, it’s not possible to establish a temporal sequence between the events- may cause temporal bias. Political polls and sample surveys are examples and are often the first studies conducted before moving on to more valid study designs
How can survival (selection) bias occur in cross-sectional studies
Occurs when the exposure is related to the duration of the disease. If exposure-induced incident cases have a shorter survival than unexposed incident cases, prevalent cases (survivors) may have a lower proportion of past exposure than those that would have been observed if incident cases had been included
Prevalence-incidence bias
Survival of patients with smoking-induced emphysema is worse than patients whose emphysema is induced by other causes. Therefore, past smoking will be observed less frequently in prevalent than incident cases
What are the results of a cross-sectional study used for?
To generate hypotheses that can then be evaluated using a study design that includes incident cases and allows establishing the temporal sequence of the exposure and then the outcome.
4 possible groups for each participant in a cross-sectional study
- Exposed and has the disease
- Exposed but does not have the disease
- Not exposed and has the disease
- Not exposed and does not have the disease
How to determine if there is evidence of an association between exposure and disease from a cross-sectional study
You can calculate the prevalence of disease in people with the exposure and compare it with the prevalence of disease in people without the exposure. OR, you can compare the prevalence of exposure in persons with disease to the prevalence of exposure in persons without the disease
Meaning of the results of a cross-sectional study
In a cross-sectional study, you are identifying prevalent rather than incident cases, so the prevalent cases may not represent all cases of the disease in the population. The association may just represent survival after the disease rather than the risk of developing the disease. It’s also not possible to demonstrate a temporal relationship between exposure and outcome since both variables were measured at the same time- it may be reverse causality. However, the findings could reflect the need to develop another, more valid study. Serial cross-sectional studies can also be useful to evaluate trends in disease prevalence over time, in order to inform healthcare policy and planning
Case-control studies
To examine the possible relation of an exposure to a certain disease, we identify a group of individuals with that disease (cases) and a group of people without that disease (controls). Then, we determine what proportion of the cases and of the controls was exposed and what proportion was not. If there is an association of an exposure with a disease, the prevalence of history of exposure should be higher in cases than the controls. The number of cases and controls selected is up to the researcher
Dichotomous exposure
When the exposure either has occurred or has not occurred. In this case, participants can be broken down into 4 groups. Cases are broken down into exposed or not exposed, and same with controls
Selection bias in case-control studies
Cases can be selected from hospital patients or people who seek healthcare at clinics. If cases are selected from a single hospital, any risk factors that are unique to that hospital could introduce bias and mean that the results aren’t generalizable other patients with the disease. Researchers also must consider whether to use incident or prevalent cases. With incident cases, you must wait for the cases to be diagnosed. It’s generally preferable to use incident cases because using prevalent cases can introduce incidence-prevalence bias
Selection of controls in case-control studies
Controls can be selected from nonhospitalized persons living in the community, from outpatient clinics, or from hospitalized patients admitted for diseases other than that for which the cases were admitted. In terms of nonhospitalized people, they could be recruited from certain neighborhoods, voter registration lists, or other sources.