Challenges in Systematic Reviews of Diagnostic Technologies

  1. Athina Tatsioni, MD;
  2. Deborah A. Zarin, MD;
  3. Naomi Aronson, PhD;
  4. David J. Samson, BA;
  5. Carole R. Flamm, MD, MPH;
  6. Christopher Schmid, PhD; and
  7. Joseph Lau, MD
  1. From Tufts-New England Medical Center Evidence-based Practice Center, Tufts-New England Medical Center, Boston, Massachusetts; Agency for Healthcare Research and Quality, Rockville, Maryland; and Blue Cross and Blue Shield Association Technology Evaluation Center, Chicago, Illinois.
    1. Figure 1. The sensitivity and specificity estimate of each study is plotted, along with the overall results obtained by combining the estimates independently using a random-effects model.
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        Figure 1. The sensitivity and specificity estimate of each study is plotted, along with the overall results obtained by combining the estimates independently using a random-effects model. Meta-analysis of studies evaluating the use of a single creatine kinase measurement to diagnose acute myocardial infarction in the emergency department.
      • Figure 2. The position of the ellipse corresponds to the sensitivity and specificity reported in the individual study. The size of the ellipse is weighted according to the study size. The summary receiver-operating characteristic curve is limited to the range where data are available.
        View larger version:
          Figure 2. The position of the ellipse corresponds to the sensitivity and specificity reported in the individual study. The size of the ellipse is weighted according to the study size. The summary receiver-operating characteristic curve is limited to the range where data are available. Summary receiver-operating characteristics curve analysis of studies evaluating the use of a single creatine kinase measurement to diagnose acute myocardial infarction in the emergency department.
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