Evidence synthesis combining individual patient data and aggregate data: a systematic review identified current practice and possible methods

Journal of Clinical Epidemiology

Volumn 60, Issue 5, 2007, Pages 431.e1-431.e12

  Riley, Richard D ^a   Simmonds, Mark C ^b   Look, Maxime P ^c  

^a UNIVERSITY OF LIVERPOOL   (United Kingdom)

^b UNIVERSITY OF READING   (United Kingdom)

^c ERASMUS MEDICAL CENTER   (Netherlands)

Author keywords

Aggregate data; Evidence synthesis; Individual patient data; Meta analysis; Summary data; Systematic review

Indexed keywords

BAYES THEOREM; CLINICAL PRACTICE; DATA ANALYSIS; DATA BASE; EVIDENCE BASED MEDICINE; INFORMATION PROCESSING; META ANALYSIS; PATIENT CODING; PATIENT INFORMATION; PRIORITY JOURNAL; REVIEW; VALIDATION PROCESS;

EID: 34047170379     PISSN: 08954356     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jclinepi.2006.09.009     Document Type: Review

References (45)

1. Egger M., Davey Smith G., and Altman D.G. Systematic reviews in health care: meta-analysis in context (2001), BMJ Publishing Group, London
2. Whitehead A. Meta-analysis of Controlled Clinical Trials (2002), Wiley, West Sussex
3. Stewart L.A., and Parmar M.K. Meta-analysis of the literature or of individual patient data: is there a difference?. Lancet 341 (1993) 418-422
4. Tudur-Smith C., Williamson P.R., and Marson A.G. Investigating heterogeneity in an individual patient data meta-analysis of time to event outcomes. Stat Med 24 (2005) 1307-1319
5. Trikalinos T.A., and Ioannidis J.P. Predictive modeling and heterogeneity of baseline risk in meta-analysis of individual patient data. J Clin Epidemiol 54 (2001) 245-252
6. Lambert P.C., Sutton A.J., Abrams K.R., and Jones D.R. A comparison of summary patient-level covariates in meta-regression with individual patient data meta-analysis. J Clin Epidemiol 55 (2002) 86-94
7. Simmonds M.C., Higgins J.P.T., Stewart L.A., Tierney J.F., Clarke M.J., and Thompson S.G. Meta-analysis of individual patient data from randomized trials: a review of methods used in practice. Clin Trials 2 (2005) 209-217
8. Stewart L.A., and Tierney J.F. To IPD or not to IPD? Advantages and disadvantages of systematic reviews using individual patient data. Eval Health Prof 25 (2002) 76-97
9. Myeloma Trialists' Collaborative Group. Combination chemotherapy versus melphalan plus prednisone as treatment for multiple myeloma: an overview of 6,633 patients from 27 randomized trials. J Clin Oncol 16 (1998) 3832-3842
10. Clarke M., Stewart L., Tierney J., and Williamson P. Individual patient data meta-analyses compared with meta-analyses based on aggregate data. The Cochrane Database Methodol Rev Issue 4 (2005)
11. Sutton A.J., Abrams K.R., Jones D.R., Sheldon T.A., and Song F. Methods for meta-analysis in medical research (2000), John Wiley, London
12. Advanced Bladder Cancer Collaboration. Neoadjuvant cisplatin for advanced bladder cancer. Cochrane Database Syst Rev Issue 2 (2000)
13. Advanced Bladder Cancer Collaboration. Neoadjuvant chemotherapy in invasive bladder cancer: a systematic review and meta-analysis. Lancet 361 (2003) 1927-1934
14. EU Hernia Trialists Collaboration. Repair of groin hernia with synthetic mesh: meta-analysis of randomized controlled trials. Ann Surg 235 (2002) 322-332
15. Grant A.M., and Collaboration EHT. Laparoscopic versus open groin hernia repair: meta-analysis of randomised trials based on individual patient data. Hernia 6 1 (2002) 2-10
16. McCormack K, Scott N, Grant A. Are trials with individual patient data available different from trials without individual patient data available? 9th Annual Cochrane Colloquium Abstracts, Lyon. 2001.
17. Scott N.W., McCormack K., Graham P., Go P.M., Ross S.J., and Grant A.M. Open mesh versus non-mesh for repair of femoral and inguinal hernia. Cochrane Database Syst Rev Issue 4 (2002)
18. Gorman J.D., David-Vaudey E., Pai M., Lum R.F., and Criswell L.A. Lack of association of the HLA-DRB1 shared epitope with rheumatoid nodules: an individual patient data meta-analysis of 3,272 Caucasian patients with rheumatoid arthritis. Arthritis Rheum 50 (2004) 753-762
19. Gorman J.D., David-Vaudey E., Pai M., Lum R.F., and Criswell L.A. Particular HLA-DRB1 shared epitope genotypes are strongly associated with rheumatoid vasculitis. Arthritis Rheum 50 (2004) 3476-3484
20. Gorman J.D., Lum R.F., Chen J.J., Suarez-Almazor M.E., Thomson G., and Criswell L.A. Impact of shared epitope genotype and ethnicity on erosive disease: a meta-analysis of 3,240 rheumatoid arthritis patients. Arthritis Rheum 2004 50 (2004) 400-412
21. Collette L, Suciu S, Bijnens L, Sylvester R. Including literature data in individual patient data meta-analyses for time-to-event endpoints. Personal communication, based on abstract from the first Symposium on Systematic Reviews: beyond the basics, Oxford, 1998.
22. Tudur C., Williamson P.R., Kahan S., and Best L.Y. The value of the aggregated data approach to meta-analysis with time-to-event outcomes. J Royal Stat Soc A 164 (2001) 357-370
23. Goldstein H., Yang M., Omar R.Z., Turner R.M., and Thompson S.G. Meta-analysis using multilevel models with an application to the study of class size effects. Appl Stat 49 (2000) 399-412
24. Jackson C., Best N., and Richardson S. Improving ecological inference using individual-level data. Stat Med 25 (2006) 2136-2159
25. Simmonds MC. Statistical methodology of individual patient data. PhD Thesis, University of Cambridge; 2005.
26. Jackson C, Best N, Richardson S. Hierarchical related regression for combining aggregate and survey data in studies of socio-economic disease risk factors (Submitted for publication).
27. Richardson S, Jackson C, Best N. Bayesian hierarchical models in ecological studies. Invited Paper for the International Workshop for Statistical Modelling, Sydney, 2005.
28. Best N, Richardson S, Jackson C. Graphical models for combining multiple data sources. Presentation at the National Centre for Research Methods, Oxford, 2005.
29. Mantel N., and Haenszel W. Statistical aspects of the analysis of data from retrospective studies of disease. J Natl Cancer Inst 22 (1959) 719-748
30. DerSimonian R., and Laird N. Meta-analysis in clinical trials. Control Clin Trials 7 (1986) 177-188
31. Yusuf S., Peto R., Lewis J., Collins R., and Sleight P. Beta blockade during and after myocardial infarction: an overview of the randomized trials. Prog Cardiovasc Dis 17 (1985) 335-371
32. Mauer D.K., Nolan J., Plaisance P., Sitter H., Benoit H., Stiell I.G., et al. Effect of active compression-decompression resuscitation (ACD-CPR) on survival: a combined analysis using individual patient data. Resuscitation 41 (1999) 249-256
33. Turner R.M., Omar R.Z., Yang M., Goldstein H., and Thompson S.G. A multilevel model framework for meta-analysis of clinical trials with binary outcomes. Stat Med 19 (2000) 3417-3432
34. Whitehead A., Omar R.Z., Higgins J.P., Savaluny E., Turner R.M., and Thompson S.G. Meta-analysis of ordinal outcomes using individual patient data. Stat Med 20 (2001) 2243-2260
35. Hukkelhoven C.W., Steyerberg E.W., Rampen A.J., Farace E., Habbema J.D., Marshall L.F., et al. Patient age and outcome following severe traumatic brain injury: an analysis of 5600 patients. J Neurosurg 99 (2003) 666-673
36. Thompson S.G., Turner R.M., and Warn D.E. Multilevel models for meta-analysis, and their application to absolute risk differences. Stat Methods Med Res 10 (2001) 375-392
37. Greenland S. Quantitative methods in the review of epidemiologic literature. Epidemiol Rev 9 (1987) 1-30
38. Oxman A.D., Clarke M.J., and Stewart L.A. From science to practice. Meta-analyses using individual patient data are needed. JAMA 274 (1995) 845-846
39. Ioannidis J.P., Contopoulos-Ioannidis D.G., and Lau J. Recursive cumulative meta-analysis: a diagnostic for the evolution of total randomized evidence from group and individual patient data. J Clin Epidemiol 52 (1999) 281-291
40. McCormack K, Scott N, Grant A. Are trials with individual patient data available different from trials without individual patient data available? 9th Annual Cochrane Colloquium Abstracts, Lyon. 2001.
41. Riley R.D., Abrams K.R., Sutton A.J., Lambert P.C., Jones D.R., Heney D., et al. Reporting of prognostic markers: current problems and development of guidelines for evidence-based practice in the future. Br J Cancer 88 (2003) 1191-1198
42. Peters J.L., Rushton L., Sutton A.J., Jones D.R., Abrams K.R., and Mugglestone M.A. Bayesian methods for the cross design synthesis of epidemiological and toxicological evidence. RSS series C 54 (2005) 159-172
43. Roberts K.A., Dixon-Woods M., Fitzpatrick R., Abrams K.R., and Jones D.R. Factors affecting uptake of childhood immunisation: a Bayesian synthesis of qualitative and quantitative evidence. Lancet 360 (2002) 1596-1599
44. Friedberg B., Watine J., and Miedouge M. Unresected colorectal liver metastases: prognostic value of laboratory variables. Gastroenterol Clin Biol 25 (2001) 962-966
45. Steyerberg E.W., Eijkemans M.J., Van Houwelingen J.C., Lee K.L., and Habbema J.D. Prognostic models based on literature and individual patient data in logistic regression analysis. Stat Med 19 (2000) 141-160