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

来源：

MULTIPLE SCLEROSIS JOURNAL | 2017年 / 23卷 / 04期

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

页码：510 / 512

页数：3

共 50 条

[21] Network meta-analyses performed by contracting companies and commissioned by industry [J].

Schuit E. ;

Ioannidis J.P.A. .

Systematic Reviews, 5 (1)

[22] Approaches to interpreting and choosing the best treatments in network meta-analyses [J].

L. Mbuagbaw ;

B. Rochwerg ;

R. Jaeschke ;

D. Heels-Andsell ;

W. Alhazzani ;

L. Thabane ;

Gordon H. Guyatt .

Systematic Reviews, 6

[23] Incorporating alternative design clinical trials in network meta-analyses [J].

Thorlund, Kristian ;

Druyts, Eric ;

Toor, Kabirraaj ;

Jansen, Jeroen P. ;

Mills, Edward J. .

CLINICAL EPIDEMIOLOGY, 2015, 7 :29-35

[24] Conduct and reporting of multivariate network meta-analyses: a scoping review [J].

Bartoszko, Jessica J. ;

Garcia, Mayra Gutierrez ;

Martinez, Juan Pablo Diaz ;

Yegorov, Sergey ;

Brignardello-Petersen, Romina ;

Mertz, Dominik ;

Thabane, Lehana ;

Loeb, Mark .

JOURNAL OF CLINICAL EPIDEMIOLOGY, 2024, 166

[25] Extending DerSimonian and Laird's methodology to perform network meta-analyses with random inconsistency effects [J].

Jackson, Dan ;

Law, Martin ;

Barrett, Jessica K. ;

Turner, Rebecca ;

Higgins, Julian P. T. ;

Salanti, Georgia ;

White, Ian R. .

STATISTICS IN MEDICINE, 2016, 35 (06) :819-839

[26] Effectiveness of antidiabetic agents for treatment of gestational diabetes: A methodological quality assessment of meta-analyses and network meta-analysis [J].

Bidhendi Yarandi, Razieh ;

Amiri, Mina ;

Ramezani Tehrani, Fahimeh ;

Behboudi-Gandevani, Samira .

JOURNAL OF DIABETES INVESTIGATION, 2021, 12 (12) :2247-2258

[27] Treatment for lupus nephritis: an overview of systematic reviews and meta-analyses [J].

Chen, Yuehong ;

Sun, Jianhong ;

Zou, Kun ;

Yang, Yuan ;

Liu, Gang .

RHEUMATOLOGY INTERNATIONAL, 2017, 37 (07) :1089-1099

[28] Using Normalized Entropy to Measure Uncertainty of Rankings for Network Meta-analyses [J].

Wu, Yun-Chun ;

Shih, Ming-Chieh ;

Tu, Yu-Kang .

MEDICAL DECISION MAKING, 2021, 41 (06) :706-713

[29] Surgical Management of Dupuytren Disease: A Systematic Review and Network Meta-analyses [J].

Nann, Silas ;

Kovoor, Joshua ;

Fowler, James ;

Kieu, James ;

Gupta, Aashray ;

Hewitt, Joseph ;

Ovenden, Christopher ;

Edwards, Suzanne ;

Bacchi, Stephen ;

Jacobsen, Jonathan Henry W. ;

Harries, Richard ;

Maddern, Guy .

HAND-AMERICAN ASSOCIATION FOR HAND SURGERY, 2024, 19 (08) :1283-1292

[30] Overlapping network meta-analyses on the same topic: survey of published studies [J].

Naudet, F. ;

Schuit, E. ;

Ioannidis, J. P. A. .

INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2017, 46 (06) :1999-2008

← 1 2 3 4 5 →