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  <Article>
    <Journal>
      <PublisherName>Ovid Technologies (Wolters Kluwer Health)</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>1044-3983</Issn>
      <Volume>35</Volume>
      <Issue>6</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2024</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Preventable Fraction in the Context of Disease Progression</ArticleTitle>
    <FirstPage LZero="delete">801</FirstPage>
    <LastPage>804</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Bronner P.</FirstName>
        <LastName>Gon&#231;alves</LastName>
        <Affiliation>Department of Comparative Biomedical Sciences, Faculty of Health and Medical Sciences, University of Surrey</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Etsuji</FirstName>
        <LastName>Suzuki</LastName>
        <Affiliation>Department of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
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      <ArticleId IdType="doi"/>
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    <Abstract>The relevance of the epidemiologic concept of preventable fraction to the study of the population-level impact of preventive exposures is unequivocal. Here, we discuss how the preventable fraction can be usefully understood for the class of outcomes that relate to disease progression (e.g., clinical severity given diagnosis), and, under the principal stratification framework, derive an expression for this quantity for this type of outcome. In particular, we show that, in the context of disease progression, the preventable fraction is a function of the effect on the postdiagnosis outcome in the principal stratum in the unexposed group who would have disease regardless of exposure status. This work will facilitate an understanding of the contribution of principal effects to the impact of preventive exposures at the population level.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Counterfactual framework</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Disease progression</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Disease  severity</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Preventable fraction</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Principal stratification</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
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