0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Media matters: Modeling the impact of solid media performance on tuberculosis trial sample size requirements

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          SUMMARY

          Setting

          Two-month solid media culture conversion is a commonly used (if suboptimal) endpoint for phase 2 tuberculosis treatment trials.

          Objective and Design

          To model the effect of solid media performance characteristics (sensitivity and contamination rate) on required sample size for a two-arm clinical trial with 85% true (gold standard) culture conversion in the control and 95% in the experimental arm.

          Results

          Increasing sensitivity and decreasing contamination reduced sample size from 239 subjects/arm (60% sensitivity, 30% contamination) to 138 subjects/arm (95% sensitivity, 1% contamination).

          Conclusion

          Optimizing solid medium has significant potential to reduce sample size and increase tuberculosis clinical trial efficiency.

          Related collections

          Author and article information

          Contributors
          Journal
          9706389
          20773
          Int J Tuberc Lung Dis
          Int. J. Tuberc. Lung Dis.
          The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease
          1027-3719
          1815-7920
          15 July 2016
          May 2016
          01 May 2017
          : 20
          : 5
          : 600-604
          Affiliations
          Division of Infectious Diseases and International Health, Duke University Medical Center, Durham, NC, USA, matthew.g.johnson@ 123456duke.edu
          Division of Infectious Diseases and International Health, Duke University Medical Center, Durham, NC, USA, jason.stout@ 123456dm.duke.edu
          Infectious Diseases Section, Veterans Affairs Medical Center and the George Washington University Medical Center, Washington, DC, USA, debra.benator@ 123456va.gov
          Division of Tuberculosis Elimination, Clinical Research Branch, Centers for Disease Control and Prevention, Atlanta, GA, USA, wcw2@ 123456cdc.gov
          Division of Infectious Diseases and International Health, Duke University Medical Center, Durham, NC, USA, david.holland@ 123456emory.edu
          Author notes
          [* ] Corresponding author
          [**]

          Current affiliation: Division of Infectious Diseases, Emory University, Atlanta, GA

          Article
          PMC4960979 PMC4960979 4960979 hhspa802484
          10.5588/ijtld.15.0570
          4960979
          27084812
          5540beff-0e7b-41d3-b0e8-a467eed98256
          History
          Categories
          Article

          mathematical modeling,microbiology,Mycobacterium tuberculosis,clinical trials

          Comments

          Comment on this article