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EBM Guidebook

Table of Contents

    Title Page
  1. Introduction
  2. STEP 1: Formulating the Question
    1. POEM
    2. PICO
  3. STEP 2: Finding the Best Evidence
  4. STEP 3: Appraising the Evidence
    1. CAMeL General Steps
    2. CAMeL Critical Appraisal Protocols
      1. Therapy
      2. Diagnostic Tests
      3. Review Articles
      4. Screening Tests
      5. Prognosis
      6. Causation
  5. STEP 4: Preparing an EBM Presentation
    1. Protocol for the Presentation
    2. Sample Presentation
  6. Overview of Statistics
    1. Statistics Without Statistics
    2. Ten Ways to Cheat
  7. Glossary of Terms
    Terms marked with an asterisk (*)
    are defined in the Glossary.
  8. References
Back to Informatics & EBM Instruction page  Back to Evidence-Based Instruction page

VII.  Glossary of Terms  (continued)

Single Blinding  Subjects do not know to which treatment they have been assigned.
 
Double Blinding  Investigators do not know which treatments or evaluation group the subjects have been assigned.
 
Gold Standard  Refers to diagnostic testing. The patients in the study should have undergone both the diagnostic test in question such as a blood test, but also the reference (gold) standard, such as a biopsy or other confirmatory proof that they do or do not have the target disorder.
 
Systematic Review  Minimizes bias in an overview by explicit clinical question, comprehensive search strategy, clear method of grading the quality of the evidence and clear way of combining the evidence from individual studies to reach conclusions. Often reviews only clinical trials.
 
Review (Narrative Review)  A Narrative Review includes a process that is subjective, addresses all aspects of a topic, rather than a single clinical question, and may include all levels of literature such as letters, case reports, and retrospective studies and book chapters. Reader does not know the quality of the references included in the review without further investigation.
 
Metaanalysis  A kind of systematic review. Also called data pooling. Metaanalyses critically review research studies and statistically combine their data to help answer questions that are beyond the power of single papers. Combining data from a number of studies increases the sample size. Larger samples mean more precise estimates of rates of risks. Pooling of data from small clinical trials on the same subject may reveal a clinically important difference in treatments than the individual small trials lacked the power to detect. Papers as subjects are analyzed.
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