Skip to main content

Meta-analysis, Evidence-Based Medicine, and Clinical Guidelines

  • Chapter
  • First Online:
Essentials of Clinical Research

Abstract

Meta-analysis refers to methods for the systematic review of a set of individual studies (either from the aggregate data or the individual patient data) with the aim to quantitatively combine their results. This has become a popular approach to attempt to answer questions when the results from individual studies have not been definitive. This chapter will discuss meta-analyses and highlight issues that need critical assessment before the results of the meta-analysis are accepted. Some of these critical issues include: publication bias, sampling bias, and study heterogeneity. Evidence-based medicine and clinical practice guidelines are dependent upon meta-analyses to guide their recommendations. Evidence-based medicine is an apt term to the extent that it advocates more reliance on clinical research than on personal experience or intuition; and, has led to a paradigm outlining the “level of evidence” that addresses a particular clinical question (also see Chap. 3). These “levels of evidence” are also utilized by clinical practice guidelines, but “as the number of available guidelines provided by a variety of sources has literally exploded, serious questions and controversies have arisen about how guidelines should be developed, implemented, and evaluated.”

To consult the statistician after an experiment is finished is often merely to ask him to conduct a post mortem examination. He can perhaps say what the experiment died of.

R.A. Fisher. Presidential Address by Professor R.A. Fisher, Sc.D., F.R.S. Sankhyā: The Indian Journal of Statistics (1933–1960), Vol. 4, No. 1 (1938), pp. 14–17. http://www.jstor.org/stable/40383882.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 129.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Meinert CL. Meta-analysis: science or religion? Control Clin Trials. 1989;10:257S–63S.

    Article  CAS  PubMed  Google Scholar 

  2. Boden WE. Meta-analysis in clinical trials reporting: has a tool become a weapon? Am J Cardiol. 1992;69:681–6.

    Article  CAS  PubMed  Google Scholar 

  3. Oxman AD. Meta-statistics: help or hindrance? ACP J Club. 1993;118:A-1–13.

    Google Scholar 

  4. Goodman SN. Have you ever meta-analysis you didn’t like? Ann Intern Med. 1991;114:244–6.

    Article  CAS  PubMed  Google Scholar 

  5. Bangalore S. Dueling data: separating the wheat from the statistical chaff. CardioSource WorldNews. 2012;Dec:14.

    Google Scholar 

  6. Pearson K. Report on certain enteric fever inoculation statistics. Br Med J. 1904;3:1243–6.

    Google Scholar 

  7. Beecher HK. The powerful placebo. JAMA. 1955;159:1602–6.

    Article  CAS  Google Scholar 

  8. Glass G. Primary, secondary and meta-analysis of research. Educ Res. 1976;5:3–8.

    Article  Google Scholar 

  9. Petitti DB. Approaches to heterogeneity in meta-analysis. Stat Med. 2001;20:3625–33.

    Article  CAS  PubMed  Google Scholar 

  10. Neveol A, Dogan RI, Lu Z. Author keywords in biomedical journal articles. AMIA Ann Symp Proc/AMIA Symp. 2010;2010:537–41.

    Google Scholar 

  11. Turner EH, Knoepflmacher D, Shapley L. Publication bias in antipsychotic trials: an analysis of efficacy comparing the published literature to the US Food and Drug Administration database. PLoS Med. 2012;9:e1001189.

    Article  PubMed Central  PubMed  Google Scholar 

  12. Sterne JA, Sutton AJ, Ioannidis JP, Terrin N, Jones DR, Lau J, et al. Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials. BMJ. 2011;343:d4002. doi:10.1136/bmj.d4002.

    Article  PubMed  Google Scholar 

  13. Begg CB, Mazumdar M. Operating characteristics of a rank correlation test for publication bias. Biometrics. 1994;50:1088–101.

    Article  CAS  PubMed  Google Scholar 

  14. Egger M, Smith DG, Altman DG. Systematic reviews in health care: meta-analysis in context. London: BMJ Books; 2000.

    Google Scholar 

  15. Duval S, Tweedie R. Trim and fill: a simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics. 2000;56:455–63.

    Article  CAS  PubMed  Google Scholar 

  16. Candelise L, Ciccone A. Gangliosides for acute ischaemic stroke. Cochrane Database Syst Rev. 2001;4:CD000094.

    PubMed  Google Scholar 

  17. Easterbrook. Publication bias in clinical research. Lancet. 1991;337:867.

    Google Scholar 

  18. Smith ML. Publication bias and meta-analysis. Eval Educ. 1980;4:22–4.

    Article  Google Scholar 

  19. Glass G. Meta-analysis at 25. 2000. Available at: http://glass.ed.asu.edu/gene/papers/meta25.html

  20. Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. Br Med J. 2003;327:557–60.

    Article  Google Scholar 

  21. Ioannidis JP, Patsopoulos NA, Rothstein HR. Reasons or excuses for avoiding meta-analysis in forest plots. Br Med J. 2008;336:1413–5.

    Article  Google Scholar 

  22. Chalmers TC, Smith Jr H, Blackburn B, Silverman B, Schroeder B, Reitman D, et al. A method for assessing the quality of a randomized control trial. Control Clin Trials. 1981;2:31–49.

    Article  CAS  PubMed  Google Scholar 

  23. Wells GA, Shea B, O’Connell D, Peterson J, Welch V, Losos M, et al. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses. 2000.

    Google Scholar 

  24. Mantel N, Haenszel W. Statistical aspects of the analysis of data from retrospective studies of disease. J Natl Cancer Inst. 1959;22:719–48.

    CAS  PubMed  Google Scholar 

  25. Berlin JA, Colditz GA. The role of meta-analysis in the regulatory process for foods, drugs, and devices. JAMA. 1999;281:830–4.

    Article  CAS  PubMed  Google Scholar 

  26. Stroup DF, Berlin JA, Morton SC, Olkin L, Williamson GD, Rennie D, et al. Meta-analysis of observational studies in epidemiology. JAMA. 2000;283:2008–12.

    Article  CAS  PubMed  Google Scholar 

  27. Carroli A, Mackey ME, Bergel E. Critical appraisal of systematic reviews. The World Health Organization. www.casp-uk.net. Accessed 20 Aug 2013.

  28. Sackett DL, Rosenberg WM, Gray JA, Haynes RB, Richardson WS. Evidence based medicine: what it is and what it isn’t. BMJ. 1996;312:71–2.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  29. The Cochrane Library. Issue 2. Chichester: Wiley; 2007.

    Google Scholar 

  30. Evidence-Based Medicine. 1999. http://library.uchc.edu/lippub/fall99.PDF. Accessed 29 July 2013.

  31. Panda A, Dorairajan LN, Kumar S. Application of evidence-based urology in improving quality of care. Indian J Urol. 2007;23:91–6. PMC2721549.

    Article  PubMed Central  PubMed  Google Scholar 

  32. Uniformed Services University James A Zimble Learning Resource Center. Evidence-Based Medicine (EBM) Resources. 2000; Available from: www.lrc.usuhs.edu/lrcguides/?q=node/16

  33. The Problem of Induction. 1953, 1974. Accessed at http://dieoff.org/page126.htm

  34. Baum SJ. Evidence-based medicine: what’s the evidence? Clin Cardiol. 2012;35:259–60. doi:10.1002/clc.21968.

    Article  PubMed  Google Scholar 

  35. Prasad V, Gall V, Cifu A. The frequency of medical reversal. Arch Intern Med. 2011;171:1675–6. doi:10.1001/archinternmed.2011.295.

    Article  PubMed  Google Scholar 

  36. Cook DJ, Jaeschke R, Guyatt GH. Critical appraisal of therapeutic interventions in the intensive care unit: human monoclonal antibody treatment in sepsis. J Club Hamilt Reg Crit Care Gr J Intensive Care Med. 1992;7:275–82.

    CAS  Google Scholar 

  37. Smith GC, Pell JP. Parachute use to prevent death and major trauma related to gravitational challenge: systematic review of randomised controlled trials. Br Med J. 2003;327:1459–61.

    Article  Google Scholar 

  38. Isaacs D, Fitzgerald D. Seven alternatives to evidence based medicine. Br Med J. 1999;319:1618–9.

    Article  CAS  Google Scholar 

  39. Institute of Medicine. Clinical practice guidelines: directions for a new program, Committee to advise the public health service on clinical practice guidelines. In: Field MJ, Lohr KN, editors. US Dept of Health and Human Services. Washington, DC: National Academy Press; 1990.

    Google Scholar 

  40. Gibbons GH, Shurin SB, Mensah GA, Lauer MS. Refocusing the agenda on cardiovascular guidelines: an announcement from the National Heart, Lung, and Blood Institute. Circulation. 2013;128:1713–5. doi:10.1161/CIRCULATIONAHA.113.004587.

    Article  PubMed  Google Scholar 

  41. Zir LM, Miller SW, Dinsmore RE, Gilbert JP, Harthorne JW. Interobserver variability in coronary angiography. Circulation. 1976;53:627–32.

    Article  CAS  PubMed  Google Scholar 

  42. Detre KM, Wright E, Murphy ML, Takaro T. Observer agreement in evaluating coronary angiograms. Circulation. 1975;52:979–86.

    Article  CAS  PubMed  Google Scholar 

  43. Parmley WW. Clinical practice guidelines. Does the cookbook have enough recipes? JAMA. 1994;272:1374–5.

    Article  CAS  PubMed  Google Scholar 

  44. Prasad V. Why randomized controlled trials are needed to accept new practices: 2 medical worldviews. Mayo Clin Proc. 2013;88:1046–50. doi:10.1016/j.mayocp.2013.04.026.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Stephen P. Glasser M.D. .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Glasser, S.P., Duval, S. (2014). Meta-analysis, Evidence-Based Medicine, and Clinical Guidelines. In: Glasser, S. (eds) Essentials of Clinical Research. Springer, Cham. https://doi.org/10.1007/978-3-319-05470-4_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-05470-4_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05469-8

  • Online ISBN: 978-3-319-05470-4

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics