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Several indirect comparison methods, including network meta-analyses (NMAs), using individual patient data (IPD) have been developed to synthesize evidence from a network of trials. Although IPD indirect comparisons are published with increasing frequency in health care literature, there is no guidance on selecting the appropriate methodology and on reporting the methods and results.In this paper we examine the methods and reporting of indirect comparison methods using IPD. We searched MEDLINE, Embase, the Cochrane Library, and CINAHL from inception until October 2014. We included published and unpublished studies reporting a method, application, or review of indirect comparisons using IPD and at least three interventions.We identified 37 papers, including a total of 33 empirical networks. Of these, only 9 (27 

作者:Areti Angeliki, Veroniki;Sharon E, Straus;Charlene, Soobiah;Meghan J, Elliott;Andrea C, Tricco

来源:BMC medical research methodology 2016 年 16卷

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作者:
Areti Angeliki, Veroniki;Sharon E, Straus;Charlene, Soobiah;Meghan J, Elliott;Andrea C, Tricco
来源:
BMC medical research methodology 2016 年 16卷
标签:
Individual participant data Knowledge synthesis Multiple treatments meta-analysis Network meta-analysis Patient-level data Research methods Scoping review
Several indirect comparison methods, including network meta-analyses (NMAs), using individual patient data (IPD) have been developed to synthesize evidence from a network of trials. Although IPD indirect comparisons are published with increasing frequency in health care literature, there is no guidance on selecting the appropriate methodology and on reporting the methods and results.In this paper we examine the methods and reporting of indirect comparison methods using IPD. We searched MEDLINE, Embase, the Cochrane Library, and CINAHL from inception until October 2014. We included published and unpublished studies reporting a method, application, or review of indirect comparisons using IPD and at least three interventions.We identified 37 papers, including a total of 33 empirical networks. Of these, only 9 (27