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LN Yaddanapudi
Dept. of Anaesthesia and Intensive Care, PGIMER,
                                      Chandigarh
How to conduct a clinical
trial
 Research question
 Study designs
 CONSORT step-by-step
 Sample size and power calculations
 Randomization and blinding
 Data processing
 Simple-minded guide to hypothesis
  testing
Research Process
   Research question
   Background of the research
   Study design
   Study population
   Study variables
   Data Collection
   Quality control
   Statistical analysis
   Dissemination of data
Good research depends on
 a clear question
 understanding the context of the
  question
 being able to use appropriate methods
  to answer the question
 knowing when to stop
Starting points
 Discussion with a supervisor or colleagues,
  email, discussion groups, mailing lists
 Databases - Cochrane, NEXUS, Project
  Impact.
 "further research needed" sections of
  journal articles, papers, theses and
  dissertations in the subject area of your
  interest
 Topic definitions in encyclopaedias and
  "state-of-the-discipline" reviews in the
  journal literature
What are you looking for?
   topics where there is doubt and uncertainty
   disputed or contradicted statements
   topics where evidence is incomplete,
    lacking, dated
   topics where evidence from a study on one
    community or group could be compared
    with evidence from an associated group
   topics which interest you
Requirements
   Mastering the literature
   Being alert to new ideas and techniques
       Conferences
       Meet researchers
       Skeptical attitude
       New technologies
   Imagination
       Observation
       Teaching
       Creativity
       Tenacity
   Choosing a mentor
Good research question
   Feasible
       No. of Subjects
       Technical expertise
       Affordable in time and money
       Manageable in scope
   Interesting
   Novel
     Confirms, refutes or extends previous findings
     New findings
   Ethical
   Relevant
     Scientific knowledge
     Clinical and health policy
     Future research
Descriptive studies
 Case reports
 Case series
 Population studies
Descriptive studies: Uses
   Hypothesis generating
   Suggesting associations
Analytical Studies
   Observational
     Cross-sectional
     Case-control
     Cohort
   Experimental
Cross-sectional studies
   Characteristics
     Data collected at single point of time
     Describes associations
     Prevalence
   Strengths
     Quick
     Cheap
   Weaknesses
     Can’t establish cause-effect
Case-Control Study
 Start with people who have disease
 Match them with controls that do not
 Look back and assess exposures
Case-Control Study:
Strengths
 Good for rare outcmes
 Can examine many exposures
 Useful to generate hypotheses
 Fast
 Cheap
 Provides Odds Ratio
Case-Control Study:
Weaknesses
 Cannot   measure
   Incidence
   Prevalence
   Relative Risk

 Can    only study one outcome
 High   susceptibility to bias
Cohort Study

   Begin with disease-free patients

   Classify patients as exposed/unexposed

   Record outcomes in both groups

   Compare outcomes using relative risk
Cohort Study: Strengths
   Provides incidence data
   Establishes time sequence for causality
   Eliminates recall bias
   Allows for accurate measurement of exposure
    variables
   Can measure multiple outcomes
   Can adjust for confounding variables
   Can calculate relative risk
Cohort Study: Weaknesses
   Expensive
   Time consuming
   Cannot study rare outcomes
   Confounding variables
   Exposure may change over time
   Disease may have a long pre-clinical phase
   Attrition of study population
Clinical Trials

   Randomized

   Double-blind

   Placebo-controlled
Randomized Controlled
Trial
                                          Outcome
                             Treatment
                               Group
             Randomization

                                         No Outcome
  Study
Population
                                          Outcome
                              Control
                              Group
                                         No Outcome
Clinical Trials
Strengths:
   Best measure of causal relationship
   Best design for controlling bias
   Can measure multiple outcomes

Weaknesses:
   High cost
   Ethical issues may be a problem
   Compliance
Clinical decisions




                                                             Patient’s circumstances
                          Evidence




                                                                   and wishes
  Clinical Audit            Technology assessment


Strategies
    to        Practice     Economic   Systematic   Primary
implement    guidelines     studies    reviews     studies
guidelines

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Guide to Research Process and Study Designs

  • 1. LN Yaddanapudi Dept. of Anaesthesia and Intensive Care, PGIMER, Chandigarh
  • 2. How to conduct a clinical trial  Research question  Study designs  CONSORT step-by-step  Sample size and power calculations  Randomization and blinding  Data processing  Simple-minded guide to hypothesis testing
  • 3.
  • 4. Research Process  Research question  Background of the research  Study design  Study population  Study variables  Data Collection  Quality control  Statistical analysis  Dissemination of data
  • 5. Good research depends on  a clear question  understanding the context of the question  being able to use appropriate methods to answer the question  knowing when to stop
  • 6. Starting points  Discussion with a supervisor or colleagues, email, discussion groups, mailing lists  Databases - Cochrane, NEXUS, Project Impact.  "further research needed" sections of journal articles, papers, theses and dissertations in the subject area of your interest  Topic definitions in encyclopaedias and "state-of-the-discipline" reviews in the journal literature
  • 7. What are you looking for?  topics where there is doubt and uncertainty  disputed or contradicted statements  topics where evidence is incomplete, lacking, dated  topics where evidence from a study on one community or group could be compared with evidence from an associated group  topics which interest you
  • 8. Requirements  Mastering the literature  Being alert to new ideas and techniques  Conferences  Meet researchers  Skeptical attitude  New technologies  Imagination  Observation  Teaching  Creativity  Tenacity  Choosing a mentor
  • 9. Good research question  Feasible  No. of Subjects  Technical expertise  Affordable in time and money  Manageable in scope  Interesting  Novel  Confirms, refutes or extends previous findings  New findings  Ethical  Relevant  Scientific knowledge  Clinical and health policy  Future research
  • 10.
  • 11. Descriptive studies  Case reports  Case series  Population studies
  • 12. Descriptive studies: Uses  Hypothesis generating  Suggesting associations
  • 13. Analytical Studies  Observational  Cross-sectional  Case-control  Cohort  Experimental
  • 14. Cross-sectional studies  Characteristics  Data collected at single point of time  Describes associations  Prevalence  Strengths  Quick  Cheap  Weaknesses  Can’t establish cause-effect
  • 15. Case-Control Study  Start with people who have disease  Match them with controls that do not  Look back and assess exposures
  • 16. Case-Control Study: Strengths  Good for rare outcmes  Can examine many exposures  Useful to generate hypotheses  Fast  Cheap  Provides Odds Ratio
  • 17. Case-Control Study: Weaknesses  Cannot measure  Incidence  Prevalence  Relative Risk  Can only study one outcome  High susceptibility to bias
  • 18. Cohort Study  Begin with disease-free patients  Classify patients as exposed/unexposed  Record outcomes in both groups  Compare outcomes using relative risk
  • 19. Cohort Study: Strengths  Provides incidence data  Establishes time sequence for causality  Eliminates recall bias  Allows for accurate measurement of exposure variables  Can measure multiple outcomes  Can adjust for confounding variables  Can calculate relative risk
  • 20. Cohort Study: Weaknesses  Expensive  Time consuming  Cannot study rare outcomes  Confounding variables  Exposure may change over time  Disease may have a long pre-clinical phase  Attrition of study population
  • 21. Clinical Trials  Randomized  Double-blind  Placebo-controlled
  • 22. Randomized Controlled Trial Outcome Treatment Group Randomization No Outcome Study Population Outcome Control Group No Outcome
  • 23. Clinical Trials Strengths:  Best measure of causal relationship  Best design for controlling bias  Can measure multiple outcomes Weaknesses:  High cost  Ethical issues may be a problem  Compliance
  • 24.
  • 25. Clinical decisions Patient’s circumstances Evidence and wishes Clinical Audit Technology assessment Strategies to Practice Economic Systematic Primary implement guidelines studies reviews studies guidelines