Searching the Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

A Budget Impact and Cost Per Additional Responder Analysis for Baricitinib for the Treatment of Moderate-to-Severe Rheumatoid Arthritis in Patients with an Inadequate Response to Tumor Necrosis Factor Inhibitors in the USA.

Elizabeth Wehler | Natalie Boytsov | Claudia Nicolay | Oscar Herrera-Restrepo | Stacey Kowal
PharmacoEconomics | 2020

Baricitinib is a selective and reversible Janus kinase (JAK) inhibitor indicated for the treatment of adult patients with moderately to severely active rheumatoid arthritis (RA) who have had an inadequate response to one or more tumor necrosis factor inhibitors (TNFis) and has been shown to improve multiple clinical and patient-reported outcomes. However, it is unclear what the budgetary impact would be for US commercial payers to add baricitinib to their formulary and how the efficacy of baricitinib compares to other disease-modifying antirheumatic drugs (DMARDs) with a similar indication.

Pubmed ID: 31452079

Research resources used in this publication

None found

Additional research tools detected in this publication

Antibodies used in this publication

None found

Associated grants

None

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


COST (tool)

RRID:SCR_014098

A tool that implements a graph-based connectivity assessment method. This method uses a multi-directional graph propagation method applied to sampled orientation distribution function (ODF), which can be computed directly from the original diffusion imaging data.

View all literature mentions