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Validity of indirect comparison for estimating efficacy of competing interventions: empirical evidence from published meta-analyses
Open accessAbstract
Objective: To determine the validity of adjusted indirect comparisons by using data from published meta-analyses of randomised trials. Design: Direct comparison of different interventions in randomised trials and adjusted indirect comparison in which two interventions were compared through their relative effect versus a common comparator. The discrepancy between the direct and adjusted indirect comparison was measured by the difference between the two estimates. Data sources: Database of abstracts of reviews of effectiveness (1994-8), the Cochrane database of systematic reviews, Medline, and references of retrieved articles. Results: 44 published meta-analyses (from 28 systematic reviews) provided sufficient data. In most cases, results of adjusted indirect comparisons were not significantly different from those of direct comparisons. A significant discrepancy (P<0.05) was observed in three of the 44 comparisons between the direct and the adjusted indirect estimates. There was a moderate agreement between the statistical conclusions from the direct and adjusted indirect comparisons (κ 0.51). The direction of discrepancy between the two estimates was inconsistent. Conclusions: Adjusted indirect comparisons usually but not always agree with the results of head to head randomised trials. When there is no or insufficient direct evidence from randomised trials, the adjusted indirect comparison may provide useful or supplementary information on the relative efficacy of competing interventions. The validity of the adjusted indirect comparisons depends on the internal validity and similarity of the included trials. What is already known on this topic: Many competing interventions have not been compared in randomised trials Indirect comparison of competing interventions has been carried out in systematic reviews, often implicitly Indirect comparison adjusted by a common control can partially take account of prognostic characteristics of patients in different trials What this study adds: Results of adjusted indirect comparison usually, but not always, agree with those of head to head randomised trials The validity of adjusted indirect comparisons depends on the internal validity and similarity of the trials involved
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Meta-analysis in clinical trials
DerSimonian, R., & Laird, N. (1986) · Controlled Clinical Trials · doi:10.1016/0197-2456(86)90046-2 · Cited by 39,552
Practical Statistics for Medical Research
Altman, D. G. (1990) · doi:10.1201/9780429258589 · Cited by 10,668
Self-citationSchulz (1995) · doi:10.1001/jama.1995.03520290060030 · Cited by 5,634
Why we need observational studies to evaluate the effectiveness of health care
Black, N. (1996) · BMJ · doi:10.1136/bmj.312.7040.1215 · Cited by 1,598
Publication and related biases.
Song, Eastwood, Gilbody, Duley, & Sutton (2000) · Health Technology Assessment · doi:10.3310/hta4100 · Cited by 427
Large Trials vs Meta-analysis of Smaller Trials: How Do Their Results Compare?
Cappelleri, J. C. (1996) · JAMA · doi:10.1001/jama.1996.03540160054033 · Cited by 336
Cited by
Grading quality of evidence and strength of recommendations
(2004) · BMJ · doi:10.1136/bmj.328.7454.1490 · Cited by 8,477
Hutton, B., Salanti, G., Caldwell, D. M., Chaimani, A., Schmid, C. H., Cameron, C., Ioannidis, J. P. A., Straus, S., Thorlund, K., Jansen, J. P., et al. (2015) · Annals of Internal Medicine · doi:10.7326/m14-2385 · Cited by 8,269
Self-citationSalanti, G. (2012) · Research Synthesis Methods · doi:10.1002/jrsm.1037 · Cited by 1,729
Sjoquist, K. M., Burmeister, B. H., Smithers, B. M., Zalcberg, J. R., Simes, R. J., Barbour, A., & Gebski, V. (2011) · The Lancet Oncology · doi:10.1016/s1470-2045(11)70142-5 · Cited by 1,647
Simultaneous comparison of multiple treatments: Combining direct and indirect evidence.
Caldwell, D. M., Ades, A. E., & Higgins, J. P. T. (2005) · BMJ · doi:10.1136/bmj.331.7521.897 · Cited by 1,600
Metadata
- Authors
- Song, F., Altman, D. G., Glenny, A.-M., & Deeks, J. J.
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2003-03-01
- Volume
- 326
- Issue
- 7387
- Pages
- 472
- ISSN
- 0007-1447 (ISSN-L)
- 0959-8138
- 1468-5833
- OpenAlex
- W2140699272
- Cited by
- 943
- References
- 6
- FWCI
- 51.51
- Type
- journal article
- Language
- en
- Open access
- bronze
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