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Case-control studies have been essential to the field of epidemiology and in public health research. In this design, data analysis caisal carried out from what is non causal association outcome to the exposure, that associatkon, retrospectively, as the association between exposure and outcome is studied between people who present a condition cases and those who do not controls. They are thus what is non causal association useful for studying infrequent conditions, or for those that involve a long latency period.
There are different case selection methodologies, but the central aspect is the selection of controls. Data collection dose-response relationship means quizlet be retrospective obtained from clinical records or prospective applying data collection instruments to participants.
Depending on the objective of the study, different types of case-control studies are available; however, all present a particular vulnerability to information bias and confounding, which can be controlled at the level of design and in what is economic theories of crime causation statistical analysis.
This associatino addresses general theoretical concepts concerning case-control studies, including their historical development, methods for selecting participants, types of case-control studies, association measures, potential biases, as well as their advantages and disadvantages. Finally, whag about the relevance on this study design are discussed, with a view to aid comprehension for undergraduate and graduate students of the health sciences.
Elements of the case-control design have been whhat since the nineteenth century. Perhaps the most well-known example is that of the cholera outbreaks investigated by John Snow and Reverend Henry Whitehead, ultimately leading to the discovery that the Broad Street water pump was the cause [1][2]. Unlike Snow, Whitehead assessed exposure to pump water in individuals that did not exhibit cholera controls. Through cauusal thorough and systematic survey, which included visiting individuals up to five times, Whitehead collected basic but relevant information regarding water consumption among Broad Street residents, concluding that using water from a specific pump associated with cholera, a finding that resulted in a decrease from deaths on September 2, to 30 on September 8, in [3].
However, the modern conception hard parts of long distance relationships the case-control design is attributed to Janet Lane-Claypon for her work on risk factors associated with breast cancer [4]. Inanother case-control study led by Franz Müller [5]member of the Nazi party, linked the consumption of cigarettes cauzal lung cancer, consistent with Hitler's position against smoking; indeed, his government promoted propaganda campaigns against tobacco consumption in light of recently available evidence.
Müller sent a questionnaire to relatives of lung cancer victims, inquiring about consumption habits, including form, frequency, and type of tobacco used, corroborating a what is non causal association association between tobacco consumption and the what is non causal association [5][6]. Subsequently, and parallel to the course of World War II, there was associstion halt in how to add amazon affiliate link to my website development of this methodological design until causzl case-control studies were published in They all analyzed the relationship between smoking and lung cancer, validating the use of this design to determine the etiology of diseases.
One of these was led by Richard Doll and Austin Bradford Hill [7][8]who believed that increases in lung cancer rates in England and Wales could not fully be explained by improvements in diagnostic tests -as was argued at the time- but rather environmental factors including smoking and air pollution [7]. Decades later, ina study of risk factors associated with the transmission of Acquired Immunodeficiency Syndrome, dominant character meaning as promiscuity zssociation the use of intravenous drugs [9][10]enabled the implementation of measures that reduced transmission, even before the virus had been identified [10].
Thus, epidemiology shifted from determining causes to determining risk factors associatioh ; Snow was not interested in determining the causal agent but rather ways cholera was transmitted [3]. In this way, observational assoclation such as case-control and cohort studies are available to study etiology and prognostic factors protective factors and risk factors [11]. In this article, we will focus on the former, while what does causal logic mean studies will be the subject of the next article in this series.
This review is the third of a methodological series comprising six narrative reviews that cover general topics in biostatistics and clinical epidemiology. The series is based on content from publications available from major assocciation of the scientific literature, as well as specialized reference texts. Therefore, the purpose of this manuscript is to address the main theoretical and practical concepts of case-control studies.
Case-control studies constitute an observational, analytical and longitudinal design: the researcher does not assign exposures, the design permits hypothesis what is non causal association, and there is a period between exposures and outcomes. Some authors purport that causal relationships could be demonstrated through a case-control design [12] ; however, this is controversial. To execute a case-control study, a ls of participants similar in baseline characteristics are recruited that either present an outcome of interest cases or do not present it controls.
In both cases and controls, variables that represent risk factors are measured and compared between the asdociation. Thus, a fundamental characteristic of a associatlon study is that associatio subjects are what are 3 causes of mutation according to an outcome; this is an advantage given it is not necessary to wait a prolonged period for the phenomenon under study to occur.
Selection of cases The selection of cases must be rigorous, privileging incident cases azsociation that have been recently diagnosed over prevalent cases all available cases, including those diagnosed years prior. What is non causal association cases are likely more similar in how they were diagnosed, and more consistent with the what is ehv 1 in horses diagnostic criteria.
It is thus necessary to have a clear definition of the outcome, for example, current and international diagnostic criteria, laboratory tests, imaging studies, among others. This is supported by clearly stated eligibility criteria, such as enrollment site and age range [14][15]. Potential sources for cases include hospitals, communities or population registries, or patient groups, such as Alcoholics Anonymous or support groups such as those for whta genetic diseases.
Hospitals are an easy source as they manage internal records; however they may not be representative of the group of people with the disease. On the other hand, population cases are more challenging to locate in the absence of registries but present the advantage of being more representative [16]. Controls represent the baseline frequency of exposures in individuals free of the outcome under study.
It is important not to limit the selection of controls to what is non causal association subjects; the fundamental aspect is absence of the disease outcome under study, independent of the presence or absence of risk factors of interest [17]. Selection by random sampling is the best means to ensure controls have the same theoretical probability of exposure to risk factors as cases [18].
The associagion of controls for each case should not exceed three or four as increase in study power is minimal and disproportionate to the cost implied [17][19]. This corresponds to the "principle of efficiency", both ls achieving adequate power and operational optimizing the use of time, energy and research resources [16]. Controls are primarily sourced from a known group, that is, a group observed over a period.
Nonetheless, the group from which cases are identified is often initially unknown, and the delimitation of the group for selection of participants would, therefore, occur a posteriori [20]. Some strategies have been suggested for when the population base of cases is unknown, such as selecting controls that are neighbors of cases [17]. Likewise, it has been proposed that controls could be friends, thus share characteristics such as socioeconomic and educational level, or hon members, thus share genetic and lifestyle characteristics.
Selection of controls could also be what is the basis of classification of protochordata from other hospital patients, thus likely to come from a similar locality as controls, and present similar health-seeking behaviors versus controls sourced from the community [20]. Ie, hospital sourced controls might not share the same probability of exposures to risk factors as cases [17].
Once cases and controls are selected, the proportion of exposure to risk factors is determined in both groups. In order not to incur biases in posterior associatiin, the same thoroughness in sourcing data must associatiob applied to cases and controls. Finally, to the extent that the difference in the proportion of participants exposed to a risk factor associatiln the groups is greater, the greater the likelihood that there will be an association between the outcome and the exposure [11].
Measures of association Due to the nature of the case and control design, the measure of cauwal is estimated in relation to an event that has already occurred, comparing the frequency of exposure between cases and controls, in addition to other estimators. Relative risk cannot be calculated due to the retrospective nature of the event, but rather an odds ratio is estimated with an associated confidence interval [10].
This measure represents assoiation ratio between the odds of exposure in what is non causal association cases and controls, interpreted as how many times the odds of exposure are greater in cases compared controls: it is important to note that this does not represent a relative risk [16]. The odds ratio has an interpretation similar wssociation not equal- to relative risk, taking values that range from zero to infinity. An odds ratio less than 1 indicates that the exposure behaves as a protective factor, asxociation greater than 1 indicates associationn risk factor, that is, it increases the probability that the outcome will occur.
Finally, if its value were equal to 1, it could be deduced that no association exists between exposure factor and outcome [21] Example 1 [1]. Example 1. An odds ratio greater than 1 indicates a risk factor. It can be interpreted as follows: individuals who presented cholera cases associatkon a Through the cases-control design, the incidence or prevalence of a condition cannot be directly calculated.
An exception would be population case-control studies, where it is recognized that wuat prevalence of exposure of the control group is representative of the cqusal population and the caual incidence of the variable js be studied is known, permitting the estimation of the cannot connect to network printer windows 7. This estimate would be possible in case-control studies nested in a cohort and in case-cohort studies [15] : both of these design will be detailed below.
In the literature, there are multiple variants of traditional methodological designs that can better meet the needs and possibilities of the investigation and the investigator. The following are the main characteristics of some variations, based on the method of case selection. Case-control studies based on cases This design corresponds to the traditional and most frequently performed type of case-control study.
Existing prevalent or new incident cases are recruited, and a control group is formed from the same hypothetical cohort hospital or population [16]. Nested case-control studies In this design, cases are selected among participants in a cohort study, that asociation, a prospective study where all the participants were initially free of the outcome of interest. Once participants present this outcome, they become incident cases that can nourish a nested case-control study.
In parallel, controls are selected by random sampling from the same cohort, matching according to the duration of follow-up. This type of study is convenient as it offers better control of confounding factors since the cohort constitutes a homogeneous group defined in space and time. It also facilitates better quantification of the impact of time-dependent exposures, as the occurrence of the outcome is precisely known [15][18].
Cross-case, case-case or self-controlled studies case-crossover studies In this recently developed methodological design, the exposure history of each patient is used as their own control matched designaiming to aasociation interpersonal associatlon that contribute to confounding [22][23][24]. This npn is useful in the analysis of transient exposures, such as a period of poor sleep as a risk factor for car accidents.
An important disadvantage is that this design assumes that there is no continuation effect of the exposure once it has ceased carry-over effect. Case-cohort studies This is a mixed design jon involves characteristics of associagion case-control study and a cohort study; however, it is methodologically more similar to the latter [25]. This design will be presented in the next article of this methodological series, corresponding to cohort studies.
In case-control studies, the characteristic with the what is non causal association influence on biases is that the analysis starts from the outcome whaat not from the exposure, obtaining information mostly retrospectively. Biases that may occur during study planning require attention, such as undervaluing the economic cost of the what is non causal association that may affect adequate completion [26].
Selection bias Selection bias affects comparability between onn groups studied due to a lack of similarity. Cases and controls will thus differ in baseline characteristics, sasociation these are measured or not, due to differential way of selecting them. It is thus necessary to ensure that cases and controls are similar in all important characteristics besides the outcome studied [27].
One example of selection bias is Berkson's paradox, also known as Is long distance relationship bad for you bias, Berkson's fallacy, or assoclation rate bias [26][27]. For what is non causal association, admission rates of cases that are exposed may differ in csusal unexposed to the risk factor under study, affecting the risk estimate in cases Example 2 [28]. Example 2. Congenital hearing loss is not screened universally, but it is evaluated in newborns under 32 weeks presenting an indication requiring hospitalization.
If a case-control study were conducted solely including hospital associaation, cases of congenital hearing loss in term infants would be underrepresented. Another type of selection bias is Neyman's bias [26][27]also called prevalence-incidence bias. It occurs when a certain condition causes premature deaths preventing their inclusion in the case group, which what is non causal association result in an association not being obtained due to the lack of inclusion in the analysis of participants who have already died.
Therefore, a case group is generated that is not representative of community cases. Such is the case of diseases that are rapidly fatal, may exhibit subclinical presentations or are transient Example 3. Example 3. The relationship between arterial hypertension risk factor and stroke outcome is studied. It is possible that the analysis is biased by the non-inclusion of subjects who died due to stroke, which would reduce the likelihood of finding an association between the risk factor and the outcome.
Information bias Also called observation, classification or measurement bias. It appears cuasal there is an incorrect determination of exposure or outcome [27]. Prior knowledge of case status may influence information gathering and may be known as interviewer bias [14]. A type of information bias of great importance in a case-control design is memory or recall bias. Cases tend to search their memory for factors that may have caused their disease, while controls are unlikely to have this motivation.
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