Network meta-analysis-highly attractive but more methodological research is needed

被引:275
作者
Li, Tianjing [1 ]
Puhan, Milo A. [1 ]
Vedula, Swaroop S. [1 ]
Singh, Sonal [2 ]
Dickersin, Kay [1 ]
机构
[1] Johns Hopkins Bloomberg Sch Publ Hlth, Baltimore, MD 21212 USA
[2] Johns Hopkins Med Inst, Baltimore, MD 21212 USA
来源
BMC MEDICINE | 2011年 / 9卷
关键词
METAANALYSIS; PUBLICATION; CONSISTENCY; TRIALS; HARMS; PAPER;
D O I
10.1186/1741-7015-9-79
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Network meta-analysis, in the context of a systematic review, is a meta-analysis in which multiple treatments (that is, three or more) are being compared using both direct comparisons of interventions within randomized controlled trials and indirect comparisons across trials based on a common comparator. To ensure validity of findings from network meta-analyses, the systematic review must be designed rigorously and conducted carefully. Aspects of designing and conducting a systematic review for network meta-analysis include defining the review question, specifying eligibility criteria, searching for and selecting studies, assessing risk of bias and quality of evidence, conducting a network meta-analysis, interpreting and reporting findings. This commentary summarizes the methodologic challenges and research opportunities for network meta-analysis relevant to each aspect of the systematic review process based on discussions at a network meta-analysis methodology meeting we hosted in May 2010 at the Johns Hopkins Bloomberg School of Public Health. Since this commentary reflects the discussion at that meeting, it is not intended to provide an overview of the field.
引用
收藏
页数:5
相关论文
共 26 条
[1]   A chain of evidence with mixed comparisons: models for multi-parameter synthesis and consistency of evidence [J].
Ades, AE .
STATISTICS IN MEDICINE, 2003, 22 (19) :2995-3016
[2]   Mixed treatment comparison analysis provides internally coherent treatment effect estimates based on overviews of reviews and can reveal inconsistency [J].
Caldwell, Deborah M. ;
Welton, Nicky J. ;
Ades, A. E. .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 2010, 63 (08) :875-882
[3]   Simultaneous comparison of multiple treatments: combining direct and indirect evidence [J].
Caldwell, DM ;
Ades, AE ;
Higgins, JPT .
BMJ-BRITISH MEDICAL JOURNAL, 2005, 331 (7521) :897-900
[4]   AHRQ Series Paper 4: Assessing harms when comparing medical interventions: AHRQ and the Effective Health-Care Program [J].
Chou, Roger ;
Aronson, Naomi ;
Atkins, David ;
Ismaila, Afisi S. ;
Santaguida, Pasqualina ;
Smith, David H. ;
Whitlock, Evelyn ;
Wilt, Timothy J. ;
Moher, David .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 2010, 63 (05) :502-512
[5]   Comparative efficacy and acceptability of 12 new-generation antidepressants: a multiple-treatments meta-analysis [J].
Cipriani, Andrea ;
Furukawa, Toshiaki A. ;
Salanti, Georgia ;
Geddes, John R. ;
Higgins, Julian P. T. ;
Churchill, Rachel ;
Watanabe, Norio ;
Nakagawa, Atsuo ;
Omori, Ichiro M. ;
McGuire, Hugh ;
Tansella, Michele ;
Barbui, Corrado .
LANCET, 2009, 373 (9665) :746-758
[6]   Checking consistency in mixed treatment comparison meta-analysis [J].
Dias, S. ;
Welton, N. J. ;
Caldwell, D. M. ;
Ades, A. E. .
STATISTICS IN MEDICINE, 2010, 29 (7-8) :932-944
[7]   Study designs to detect sponsorship and other biases in systematic reviews [J].
Dias, Sofia ;
Welton, Nicky J. ;
Ades, A. E. .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 2010, 63 (06) :587-588
[8]   Comparative Benefits and Harms of Second-Generation Antidepressants: Background Paper for the American College of Physicians [J].
Gartlehner, Gerald ;
Gaynes, Bradley N. ;
Hansen, Richard A. ;
Thieda, Patricia ;
DeVeaugh-Geiss, Angela ;
Krebs, Erin E. ;
Moore, Charity G. ;
Morgan, Laura ;
Lohr, Kathleen N. .
ANNALS OF INTERNAL MEDICINE, 2008, 149 (10) :734-U313
[9]  
Glenny AM, 2005, HEALTH TECHNOL ASSES, V9, P1
[10]   Meta-analysis of multitreatment studies [J].
Hasselblad, V .
MEDICAL DECISION MAKING, 1998, 18 (01) :37-43