Indirect comparisons of treatment effects: Network meta-analyses

被引:2
作者
Sormani, Maria Pia [1 ]
机构
[1] Univ Genoa, Biostat Unit, Dept Hlth Sci DISSAL, Via Pastore 1, I-16132 Genoa, Italy
关键词
Indirect treatment comparisons; network meta-analysis; MULTIPLE-SCLEROSIS;
D O I
10.1177/1352458517690272
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Many therapeutic options are now available for patients with multiple sclerosis. While the efficacy of each drug has been assessed against placebo or, more recently, against interferon, no direct comparisons of these new therapies have been conducted in randomized clinical trials. Therefore, indirect treatment comparisons are needed to inform clinical decisions. In this brief report, some basic concepts about network meta-analyses that are the formal methods used to run multiple indirect treatment comparisons are reviewed when applied in the context of multiple sclerosis studies.
引用
收藏
页码:510 / 512
页数:3
相关论文
共 50 条
[41]   Interpreting Indirect Treatment Comparisons and Network Meta-Analysis for Health-Care Decision Making: Report of the ISPOR Task Force on Indirect Treatment Comparisons Good Research Practices: Part 1 [J].
Jansen, Jeroen P. ;
Fleurence, Rachael ;
Devine, Beth ;
Itzler, Robbin ;
Barrett, Annabel ;
Hawkins, Neil ;
Lee, Karen ;
Boersma, Cornelis ;
Annemans, Lieven ;
Cappelleri, Joseph C. .
VALUE IN HEALTH, 2011, 14 (04) :417-428
[42]   A comparison of methods for enriching network meta-analyses in the absence of individual patient data [J].
Proctor, Tanja ;
Zimmermann, Samuel ;
Seide, Svenja ;
Kieser, Meinhard .
RESEARCH SYNTHESIS METHODS, 2022, 13 (06) :745-759
[43]   Critical evaluation of reporting quality of network meta-analyses assessing the effectiveness of acupuncture [J].
Bae, Kyeore ;
Shin, In-Soo .
COMPLEMENTARY THERAPIES IN CLINICAL PRACTICE, 2021, 45
[44]   BUGSnet: an R package to facilitate the conduct and reporting of Bayesian network Meta-analyses [J].
Audrey Béliveau ;
Devon J. Boyne ;
Justin Slater ;
Darren Brenner ;
Paul Arora .
BMC Medical Research Methodology, 19
[45]   Funding and conclusions of network meta-analyses on targeted therapies in inflammatory diseases: an overview [J].
Guelimi, Robin ;
Afach, Sivem ;
Bettuzzi, Thomas ;
Meyer, Antoine ;
Padern, Guillaume ;
Yiu, Zenas ;
Naudet, Florian ;
Sbidian, Emilie ;
Le-Cleach, Laurence .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 2024, 172
[46]   Efficacy of interventions for myopia control in children: A systematic review with network meta-analyses [J].
Schmidt, Diana Chabane ;
Hvid-Hansen, Anders ;
Jacobsen, Nina ;
Jakobsen, Trine Moldrup ;
Larsen, Per Michael ;
Lindblad, Kjersti Kristin ;
Moller, Flemming ;
Slyngborg, Annette ;
Subhi, Yousif ;
Kessel, Line .
ACTA OPHTHALMOLOGICA, 2025,
[47]   Evaluation of the Reporting Standard Guidelines of Network Meta-Analyses in Physical Therapy: A Systematic Review [J].
Cho, Sung-Hyoun ;
Shin, In-Soo .
HEALTHCARE, 2022, 10 (12)
[48]   What have we learned from network meta-analyses applied to critical care? [J].
Baez-Pravia, Orville, V ;
Montes-Andujar, Lara ;
Menendez, Justo ;
Cardinal-Fernandez, Pablo .
MINERVA ANESTESIOLOGICA, 2019, 85 (04) :433-442
[49]   What We Learned With Recent Network Meta-analyses on Acute Heart Failure Care [J].
Gatto, Laura ;
Roever, Leonardo ;
Versaci, Francesco ;
Peruzzi, Mariangela ;
Sciarretta, Sebastiano ;
Marullo, Antonino G. M. ;
Frati, Giacomo ;
Biondi-Zoccai, Giuseppe .
CURRENT EMERGENCY AND HOSPITAL MEDICINE REPORTS, 2018, 6 (02) :49-53
[50]   Chinese herbal injections for heart failure A protocol for systematic review and network meta-analyses [J].
Yang, Fengwen ;
Zou, Jiahan ;
Ge, Long ;
Tian, Jinhui ;
Lee, Myeong Soo ;
Jun, Ji Hee ;
Zhang, Junhua .
MEDICINE, 2018, 97 (08)