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18  Section 1  Evaluation and Management of the Patient

            called the “prevalence” (see Chapter 2 for examples), and   An alternative approach to obtaining prevalence
  VetBooks.ir  is contextually tied to a specific point in time. Knowing   ratios when there is a health outcome is to sample sub-
                                                              sets of a population defined by certain characteristics.
            such information may be valuable in planning preven-
            tive initiatives and having an appropriate inventory of
                                                              sample a fixed number of sexually intact and sexually
            pharmaceuticals available. Hospitals, however, may not   For example, an investigator may choose to deliberately
            have an adequate number of patients at a single time to   altered male outdoor cats, and subsequently ascertain
            estimate prevalence, so instead patients fitting inclusion   the prevalence of FeLV in these two groups. A preva-
            criteria may be captured over a period of time, and the   lence ratio relating the prevalence of FeLV in one sex-
            frequency of the factor of interest is then obtained as   ual status group versus the other is estimable, but
            patients are enrolled. This special type of prevalence is   not the converse due to the sampling being based on
            called “period prevalence” and is contextually defined by   sexual status.
            the beginning and end dates of patient accrual (e.g., the   Another sampling variant of cross‐sectional studies is
            proportion  of  patients  entering  a  hospital  over  one   the  two‐stage  prevalence  case–control  study.  This
            month present with clinical signs of upper respiratory   approach is indicated when a relatively rare disease in a
            disease). It is important to note that no assumptions   clinical population is studied, and the goal is to estimate
            need be made about when individuals with the outcome   not the prevalence of the disease but instead factors that
            actually developed it; it is sufficient to note that at the   may be associated with it but cannot be readily meas-
            time of measurement, they either had it or did not (the   ured without additional data gathering and considera-
            latter from  either  never  having developed it or  from   tion of cost/time expenditures. Initially, a cross‐sectional
            recovering from it).                              study is undertaken in a clinical population to ascertain
             Prevalences measured from cross‐sectional studies are   disease status. When the cost and effort of obtaining
            not restricted to being crude (unconditional) measures.   prevalence factor information prohibit procurement of
            Factor‐specific (conditional) prevalences are also esti-  it for every individual in the population, those with the
            mable, as in sex‐specific or age‐specific prevalences.   rare disease (prevalent cases) can have it measured,
            Moreover, such specific measures can be jointly used for   along with only a sample of the remaining nondiseased
            comparative purposes, as in relative prevalences (preva-  individuals (nonprevalent controls). Thus, prevalence
            lence ratios). For example, it may be of interest to esti-  factor information is efficiently obtained only on a sub-
            mate the proportionate change in the prevalence of feline   set of the entire population – either all or some of the
            leukemia virus (FeLV) infections in intact outdoor males   diseased individuals and a sample of the nondiseased
            compared to sterilized outdoor males.             individuals. The ratio of individuals in the two groups is
             Sampling in cross‐sectional studies can be accom-  at the discretion of the investigator, although a 1:1 ratio
            plished in several ways. The most straightforward is to   is statistically the most efficient for a fixed study size.
            either study an entire population of individuals or take a   The prevalence case–control study is the cross‐sectional
            random sample from one. With either approach, indi-  counterpart of the (longitudinal) incidence case–control
            viduals can be cross‐classified by their health outcome   study discussed later.
            status as well as other factors to assess joint associations.
            Using the previous example, the prevalence of FeLV can
            be measured in intact and sterilized outdoor male cats,     Longitudinal Observational Studies
            or conversely the prevalence of male sexual status can be
            measured in cats with and without FeLV. Prevalence   The distinguishing feature of longitudinal medical stud-
            ratios provide an objective measure of how relatively   ies, compared to cross‐sectional studies, is that individu-
            common or rare an outcome of interest is between   als are monitored over time, typically being followed
            groups, but should not be used for causal inference (such   from a state absent a particular health outcome to a later
            as making statements about likelihood, risk, or probabil-  state that may or may not have experienced a change in
            ity of a health outcome) because when measured simul-  outcome status. The two principal types of such studies
            taneously, it is often not possible to know if prevalence   are cohort studies and case–control studies, which differ
            factors,  as  putative risk factors, occurred prior to or   in how individuals in them are sampled for study inclu-
            after the health outcome occurrence. In addition, such   sion. Longitudinal studies may also be characterized by
            factors may not potentially alter only disease incidence   their temporality; relative to the study onset, they can be
            but also disease duration and recovery, all of which affect   retrospective, with historical data being used during the
            prevalence.  Prevalence ratios, as measures of associa-  follow‐up period, or prospective, with future data being
            tion, therefore have utility for hypothesis generation but   collected following study onset. Less commonly, studies
            lack a foundation for making inferences about causal   can be ambispective, with both retrospective and pro-
            associations.                                     spective components.
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