Literature DB >> 25612539

Cardiovascular safety of new oral anticoagulants: re-analysis of 27 randomized trials based on Bayesian network meta-analysis.

Andrea Messori1.   

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Year:  2015        PMID: 25612539      PMCID: PMC4500336          DOI: 10.1111/bcp.12592

Source DB:  PubMed          Journal:  Br J Clin Pharmacol        ISSN: 0306-5251            Impact factor:   4.335


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  11 in total

1.  Network meta-analysis for indirect treatment comparisons.

Authors:  Thomas Lumley
Journal:  Stat Med       Date:  2002-08-30       Impact factor: 2.373

2.  The results of direct and indirect treatment comparisons in meta-analysis of randomized controlled trials.

Authors:  H C Bucher; G H Guyatt; L E Griffith; S D Walter
Journal:  J Clin Epidemiol       Date:  1997-06       Impact factor: 6.437

3.  A Bayesian network meta-analysis for binary outcome: how to do it.

Authors:  Teresa Greco; Giovanni Landoni; Giuseppe Biondi-Zoccai; Fabrizio D'Ascenzo; Alberto Zangrillo
Journal:  Stat Methods Med Res       Date:  2013-08-22       Impact factor: 3.021

Review 4.  Review of mixed treatment comparisons in published systematic reviews shows marked increase since 2009.

Authors:  Andrew W Lee
Journal:  J Clin Epidemiol       Date:  2013-10-03       Impact factor: 6.437

5.  Conducting indirect-treatment-comparison and network-meta-analysis studies: report of the ISPOR Task Force on Indirect Treatment Comparisons Good Research Practices: part 2.

Authors:  David C Hoaglin; Neil Hawkins; Jeroen P Jansen; David A Scott; Robbin Itzler; Joseph C Cappelleri; Cornelis Boersma; David Thompson; Kay M Larholt; Mireya Diaz; Annabel Barrett
Journal:  Value Health       Date:  2011-06       Impact factor: 5.725

6.  Comparing Bayesian and frequentist approaches for multiple outcome mixed treatment comparisons.

Authors:  Hwanhee Hong; Bradley P Carlin; Tatyana A Shamliyan; Jean F Wyman; Rema Ramakrishnan; François Sainfort; Robert L Kane
Journal:  Med Decis Making       Date:  2013-04-02       Impact factor: 2.583

7.  Comparative coronary risks of apixaban, rivaroxaban and dabigatran: a meta-analysis and adjusted indirect comparison.

Authors:  Yoon K Loke; Shiva Pradhan; Jessica Ka-Yan Yeong; Chun Shing Kwok
Journal:  Br J Clin Pharmacol       Date:  2014-10       Impact factor: 4.335

8.  Simulation evaluation of statistical properties of methods for indirect and mixed treatment comparisons.

Authors:  Fujian Song; Allan Clark; Max O Bachmann; Jim Maas
Journal:  BMC Med Res Methodol       Date:  2012-09-12       Impact factor: 4.615

9.  Consistency and inconsistency in network meta-analysis: concepts and models for multi-arm studies.

Authors:  J P T Higgins; D Jackson; J K Barrett; G Lu; A E Ades; I R White
Journal:  Res Synth Methods       Date:  2012-06       Impact factor: 5.273

10.  Methods used to conduct and report Bayesian mixed treatment comparisons published in the medical literature: a systematic review.

Authors:  Diana M Sobieraj; Joseph C Cappelleri; William L Baker; Olivia J Phung; C Michael White; Craig I Coleman
Journal:  BMJ Open       Date:  2013-07-21       Impact factor: 2.692

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  1 in total

1.  Second-line treatments for advanced gastric cancer: Interpreting outcomes by network meta-analysis.

Authors:  Brigitta Badiani; Dario Maratea; Andrea Messori
Journal:  World J Clin Oncol       Date:  2015-08-10
  1 in total

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