Notes
Slide Show
Outline
1
Evidence-Based Medicine:
Problems and Methods
  • A Short History
  • NIH, January 11, 2005
2
Problems of Clinical Research
  • Human variation
  • Therapeutic relationship: physician-patient roles and expectations
  • Ethics of research:  subject selection, subject compliance, continuance
  • Multiple stakeholders:  physicians, patients, policymakers, manufacturers


3
Methods
  • Comparative clinical trials
  • Randomization => statistical analysis
  • Blinding
  • “Intention to treat”
  • Meta-analysis
  • Systematic review of evidence
4
Comparative Trials:  Precursors
  • Work not accepted at the time
    • James Lind on scurvy (1753)
    • Pierre Louis on bloodletting (1835)
    • Ignaz Semmelweis on puerperal fever (1847)
  • Work accepted at the time
    • John Snow on cholera (1854)
    • Walter Reed on yellow fever (1901)
5
1900:  Calls for reform of patent medicine market
  • 1905:  the AMA’s Council on Chemistry and Pharmacy – the need for “ a rational therapeutics”
  • 1906:  the Pure Food and Drug Act – the need for a scientific basis for regulation
  • 1931:  the Therapeutic Trials Committee of the Medical Research Council
6
Borrowed Ideas: Randomization
  • R.A. Fisher’s work at Rothamsted Agricultural Station
  • The Design of Experiments (1935)
  • Randomization of assignment to experimental and control groups allows the investigator to calculate the statistical significance and likelihood of error of observed differences in effect.
7
Borrowed Ideas:
Blinding
  • Blindfold Tests:  widely used by advertisers and consumer groups in the 1930s and 1940s
  • Torald Sollmann suggested a placebo control and blinded observer as a solution to investigator bias as early as 1930



8
The Streptomycin TB Trials
  • Feldman and Hinshaw’s principles of design 1944:  “some procedure of chance”
  • The VA 1946: problems of physician compliance
  • The MRC 1947-48:  drug scarcity ensures compliance to protocol
  • The US Public Health Service 1947:  replacing physician judgment with standardized criteria
9
Working Guideline to Regulatory Law
  • Explosion of new drugs in 1950s raised concerns over pricing and exploitation


  • Thalidomide disaster of 1962 pushed passage of Kefauver-Harris Amendments


  • FDA empowered to review efficacy of new and existing drugs; relied initially on expert clinical judgment – the Drug Efficacy Study panels 1966-69


10
RCT As Evidentiary Standard
  • FDA moved to withdraw drugs from market on DESI recommendations
  • Pharmaceutical companies went to court, forcing FDA to define “substantial evidence.”
  • May 1970 regulations specified:
      • Criteria for patient selection
      • Exclusion of bias
      • Comparability of variables
      • Use of control group
      • Statistical analysis of data
11
1970-1990:  More Players, More Evidence
  • Investigators produced much trial evidence of varying quality
  • Limited resources for major definitive trials
  • Who has the expertise to assess the evidence?
  • How do we select the “best” evidence/determine where more is needed?
  • What is the “answer” we are looking for?
    • Best fit to theoretical concepts
    • Comparative efficacy
    • User efficacy
12
A Statistical Solution: Meta-Analysis
  • First used in astronomy 1860s
  • Karl Pearson’s work on typhoid vaccine 1904
  • Introduced into social sciences 1970s and then into medicine
  • Do results correlate with those of large RCTs? (Not always – LeLorier et al, 1997)
  • Does meta-analysis resolve problems of small, poor-quality trials?  (No – Jüni et al, 1999)


13
Evidence Review:  Art => Science
  • Cochrane 1972:  collective ignorance of much of the available evidence
  • Mulrow 1987:  Selection bias, haphazard analysis found in literature reviews
  • Oxman and Guyatt 1988:  Guidelines for reading reviews
  • McMaster method => Evidence-based Medicine 1990-95
  • The U.K. Cochrane Centre 1992
14
But Systematic Review Projects Need Evidence to Review
  • Factors of bias, subject recruitment, ethics, career incentives, data measurability lead to problems of experimental and publication selection:


  • Only certain trials are likely to be done and not all the results will be published.