Using Individual Patients Data in Meta-analyses for Assessing Effects of Health care Interventions_Chinese Journal of Evidence-Based Medicine

Authors：

 SUN Xin ^1,2 , WANG Li ¹ , LI Youping ¹

1. Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu 610041, China2. Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada;

Corresponding author：

SUN Xin, Email: sunx26@mcmaster.ca

Keywords：

Individual patient data; Meta-analysis; Randomized controlled trial

DOI：

10.7507/1672-2531.20100532

Video：

Export PDF Favorites Scan Get Citation

Abstract Full text Figures/Tables Video References Cited by

Individual patient data meta-analyses are conducted through development of collaboration with trial investigators, central collection and checking of individual patient data of all eligible trials, and pooling of patient data to produce the best estimate of effects of health care interventions. They ensure study data to be update, accessible, reliable and complete so as to minimize the risk of bias, and are the gold standard of systematic reviews addressing effects of health care interventions. Meta-analyses using individual patient data enable higher flexibility of data analyses and more completeness and balance of results interpretation. The study conduct differs between individual patient data versus conventional meta-analyses. This article discussed the steps of conducting individual patient data meta-analyses.

Citation： SUN Xin,WANG Li,LI Youping. Using Individual Patients Data in Meta-analyses for Assessing Effects of Health care Interventions. Chinese Journal of Evidence-Based Medicine, 2010, 10(8): 998-1003. doi: 10.7507/1672-2531.20100532 Copy

1.	Duchateau L, Pignon JP, Bijnens L, et al. Individual Patient- versus Literature-Based Meta-analysis of Survival Data: Time to Event and Event Rate at a Particular Time Can Make a Difference, an Example Based on Head and Neck Cancer. Control Clin Trials, 2001, 22(5): 538-547.
2.	Stewart LA, Parmar MK. Meta-analysis of the literature or of individual patient data: is there a difference? Lancet, 1993, 341(8842): 418-422.
3.	Clarke M, Stewart L, Parmar M. Benefits of meta-analysis using individual patient data. in Cochrane Colloquium. 1995. Olso.
4.	Neoadjuvant Chemotherapy for Cervical Cancer Meta-Analysis Collaboration (NACCCMA) Collaboration. Neoadjuvant chemotherapy for locally advanced cervix cancer. Cochrane Database Syst Rev, 2004, (2): CD001774.
5.	Gray R, Clarke M, Collins R, et al. The EBCTCG Overview of Adjuvant Therapy of Breast Cancer. Annals of the New York Academy of Sciences, 698(1): 339-348.
6.	Clarke M, Collins R, Darby S, et al. Effects of radiotherapy and of differences in the extent of surgery for early breast cancer on local recurrence and 15-year survival: an overview of the randomised trials. Lancet, 2005, 366(9503): 2087-2106.
7.	Chia S, Bryce C, Gelmon K. The 2000 EBCTCG overview: a widening gap. Lancet, 2005, 365(9472): 1665-1666.
8.	Stewart LA, Tierney JF. To IPD or not to IPD? Advantages and disadvantages of systematic reviews using individual patient data. Eval Health Prof, 2002, 25(1): 76-97.
9.	Hollis S, Campbell F. What is meant by intention to treat analysis? Survey of published randomised controlled trials. BMJ, 1999, 319(7211): 670-674.
10.	Parmar MK, Torri V, Stewart L. Extracting summary statistics to perform meta-analyses of the published literature for survival endpoints. Stat Med, 1998, 17(24): 2815-2834.
11.	Smith CT, Williamson PR, Marson AG. An overview of methods and empirical comparison of aggregate data and individual patient data results for investigating heterogeneity in meta-analysis of time-to-event outcomes. J Eval Clin Pract, 2005, 11(5): 468-478.
12.	Teramukai S, Matsuyama Y, Mizuno S, et al. Individual patient-level and study-level meta-analysis for investigating modifiers of treatment effect. Jpn J Clin Oncol, 2004, 34(12): 717-721.
13.	Rovers MM, Glasziou P, Appelman CL, et al. Predictors of pain and/or fever at 3 to 7 days for children with acute otitis media not treated initially with antibiotics: a metaanalysis of individual patient data. Pediatrics, 2007, 119(3): 579-585.
14.	[No authors listed]. Echocardiographic predictors of stroke in patients with atrial fibrillation: a prospective study of 1066 patients from 3 clinical trials. Arch Intern Med, 1998, 158(12): 1316-1320.
15.	Barbui C, Cipriani A, Geddes JR. Antidepressants and suicide symptoms: compelling new insights from the FDA’s analysis of individual patient level data. Evid Based Ment Health, 2008, 11(2): 34-35.

1. Duchateau L, Pignon JP, Bijnens L, et al. Individual Patient- versus Literature-Based Meta-analysis of Survival Data: Time to Event and Event Rate at a Particular Time Can Make a Difference, an Example Based on Head and Neck Cancer. Control Clin Trials, 2001, 22(5): 538-547.
2. Stewart LA, Parmar MK. Meta-analysis of the literature or of individual patient data: is there a difference? Lancet, 1993, 341(8842): 418-422.
3. Clarke M, Stewart L, Parmar M. Benefits of meta-analysis using individual patient data. in Cochrane Colloquium. 1995. Olso.
4. Neoadjuvant Chemotherapy for Cervical Cancer Meta-Analysis Collaboration (NACCCMA) Collaboration. Neoadjuvant chemotherapy for locally advanced cervix cancer. Cochrane Database Syst Rev, 2004, (2): CD001774.
5. Gray R, Clarke M, Collins R, et al. The EBCTCG Overview of Adjuvant Therapy of Breast Cancer. Annals of the New York Academy of Sciences, 698(1): 339-348.
6. Clarke M, Collins R, Darby S, et al. Effects of radiotherapy and of differences in the extent of surgery for early breast cancer on local recurrence and 15-year survival: an overview of the randomised trials. Lancet, 2005, 366(9503): 2087-2106.
7. Chia S, Bryce C, Gelmon K. The 2000 EBCTCG overview: a widening gap. Lancet, 2005, 365(9472): 1665-1666.
8. Stewart LA, Tierney JF. To IPD or not to IPD? Advantages and disadvantages of systematic reviews using individual patient data. Eval Health Prof, 2002, 25(1): 76-97.
9. Hollis S, Campbell F. What is meant by intention to treat analysis? Survey of published randomised controlled trials. BMJ, 1999, 319(7211): 670-674.
10. Parmar MK, Torri V, Stewart L. Extracting summary statistics to perform meta-analyses of the published literature for survival endpoints. Stat Med, 1998, 17(24): 2815-2834.
11. Smith CT, Williamson PR, Marson AG. An overview of methods and empirical comparison of aggregate data and individual patient data results for investigating heterogeneity in meta-analysis of time-to-event outcomes. J Eval Clin Pract, 2005, 11(5): 468-478.
12. Teramukai S, Matsuyama Y, Mizuno S, et al. Individual patient-level and study-level meta-analysis for investigating modifiers of treatment effect. Jpn J Clin Oncol, 2004, 34(12): 717-721.
13. Rovers MM, Glasziou P, Appelman CL, et al. Predictors of pain and/or fever at 3 to 7 days for children with acute otitis media not treated initially with antibiotics: a metaanalysis of individual patient data. Pediatrics, 2007, 119(3): 579-585.
14. [No authors listed]. Echocardiographic predictors of stroke in patients with atrial fibrillation: a prospective study of 1066 patients from 3 clinical trials. Arch Intern Med, 1998, 158(12): 1316-1320.
15. Barbui C, Cipriani A, Geddes JR. Antidepressants and suicide symptoms: compelling new insights from the FDA’s analysis of individual patient level data. Evid Based Ment Health, 2008, 11(2): 34-35.

Previous Article
Contimuous Subcutaneous Insulin Infusion versus Multiple Daily Insulin Injections in Patients with Newly Diagnosed Type 2 Diabetes Mellitus: A Systematic Review

Chinese Journal of Evidence-Based Medicine

Using Individual Patients Data in Meta-analyses for Assessing Effects of Health care Interventions

Abstract Full text Figures/Tables Video References Cited by

Previous Article

Format

Content