Journal of Evidence-Based Dental Practice
Volume 4, Issue 1 , Pages 41-46 , March 2004

Evidence for Healthcare: Large Trials or Meta-analyses of Small Trials?

  • Yannan Sun, MS

      Affiliations

    • Dr. Sun is currently supported by a WHO fellowship

References 

  1. Chalmers TC, Lau J. Changes in clinical trials mandated by the advent of meta-analysis. Stat Med. 1996;15:1263–1268
  2. Lau J, Ioannidis JPA, Schmid CH. Quantitative synthesis in systematic reviews. Ann Intern Med. 1997;127:820–826
  3. Lau J, Antman EM, Jimenez-Silva J, Kupelnick B, Mosteller F, Chalmers TC. Clinical implications of cumulative meta-analyses of randomized control trials: acute myocardial infarction as an example. N Engl J Med. 1992;327:248–254
  4. Wang PH, Lau J, Chalmers TC. Meta-analysis of effects of intensive blood-glucose control on late complications of Type I diabetes. Lancet. 1993;341:1306–1309
  5. Borzak S, Ridker PM. Discordance between meta-analyses and large-scale randomized, controlled trials. Ann Intern Med. 1995;123:873–877
  6. DerSimonian R, Levine RJ. Resolving discrepancies between a meta-analysis and a subsequent large controlled trial. JAMA. 1999;282:664–670
  7. Aspirin discrepancy.
  8. Bailar JC. The promise and problems of meta-analysis. N Engl J Med. 1997;337:559–560
  9. Villar J, Carroli G, Belizan JM. Predictive ability of meta-analyses of randomised controlled trials. Lancet. 1995;345:772–776
  10. Cappelleri JC, Ioannidis JP, Schmid CH, de Ferranti SD, Aubert M, Chalmers TC, et al. Large trials vs meta-analysis of smaller trials: how do their results compare?. JAMA. 1996;276:1332–1338
  11. LeLorier J, Gregoire G, Benhaddad A, Lapierre J, Derderian F. Discrepancies between meta-analyses and subsequent large randomized, controlled trials. N Engl J Med. 1997;337:536–542
  12. Ioannidis JP, Cappelleri JC, Lau J. Issues in comparisons between meta-analyses and large trials. JAMA. 1998;14:1089–1093
  13. Moher D, Pham B, Jones A, Cook DJ, Jadad AR, Moher M, et al. Does quality of reports of randomised trials affect estimates of intervention efficacy reported in meta-analyses?. Lancet. 1998;352:609–613
  14. Balk EM, Bonis P, Moskowitz H, Schmid CH, Ioannidis JPA, Wang C, et al. Correlation of quality measures with estimates of treatment in meta-analyses of randomized trials. JAMA. 2002;287:2973–2982
  15. Thornton A, Lee P. Publication bias in meta-analysis: its causes and consequences. J Clin Epidemiol. 2000;53:207–216
  16. Terrin N, Schmid CH, Lau J, Olkin I. Adjusting for publication bias in the presence of heterogeneity. Stat Med. 2003;22:2113–2126
  17. Schmid CH, Lau J, McIntosh M, Cappelleri JC. An empirical study of the effect of the control rate as a predictor of treatment efficacy in meta-analysis of clinical trials. Stat Med. 1998;17:1923–1942
  18. Furukawa TA, Streiner DL, Hori S. Discrepancies among megatrials. J Clin Epidemiol. 2000;53:1193–1199
  19. The Cochrane Library, Issue 3. Oxford: Update Software; 2003;
  20. Ioannidis JP, Cappelleri JC, Schmid CH, Lau J. Impact of epidemic and individual heterogeneity on the population distribution of disease progression rates. Am J Epidemiol. 1996;144:1074–1085
  21. Horwitz RI, Singer BH, Makuch RW, Viscoli CM. Can treatment that is helpful on average by harmful to some patients?. J Clin Epidemiol. 1996;49:395–400
  22. Lau J, Ioannidis JPA, Schmid CH. Summing up evidence: one answer is not always enough. Lancet. 1998;351:123–127
  23. Schmid CH. Exploring heterogeneity in randomized trials via meta-analysis. Drug Information J. 1999;33:211–224

PII: S1532-3382(04)00017-X

doi: 10.1016/j.jebdp.2004.02.016

Journal of Evidence-Based Dental Practice
Volume 4, Issue 1 , Pages 41-46 , March 2004

Article Tools