Souring On SUCRAs: When Treatment Ranking Goes Wrong

October 5, 2022

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Title: Souring On SUCRAs: When Treatment Ranking Goes Wrong

Wednesday, October 5, 2022
11:00AM EDT | 3:00PM UTC | 5:00PM CEST

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One of the advantages of network meta-analyses (NMA) is the ability to use findings to draw conclusions regarding the best treatment for a given outcome. The Surface-Under-the-Cumulative-Ranking (SUCRA) is the most common method used to rank treatments in Bayesian NMAs, but it is often misinterpreted and misreported.  This webinar will explore what the SUCRA is, demonstrate how it can be meaningfully impacted by network composition (even in simple networks), and suggest corrections to common errors in the reporting of SUCRAs. We conclude by summarizing recent efforts to incorporate minimally clinically important differences (MCIDs) in treatment rankings and suggest an alternative approach that is less affected by network composition.

Learning Objectives

  • Better understand what the SUCRA is.
  • Understand that network composition may meaningfully impact SUCRA results.
  • How to appropriately interpret and report SUCRA findings.


Joseph C. Cappelleri, MS, MPH, PhD
, Executive Director of Biostatistics, Pfizer, New York, NY, USA


Kyle Fahrbach, PhD, Senior Director and Principal Statistician, Evidera, Needham, MA, USA

Marissa Betts, MS, Research Scientist and Principal Investigator, Evidera, Needham, MA, USA

Sponsored by: Evidera, a PPD Company

Please note:
On the day of the scheduled webinar, the first 1000 registered participants will be accepted into the webinar. For those who are unable to attend, or would like to review the webinar at a later date, the full-length webinar recording will be made available at the ISPOR Educational Webinar Series webpage approximately 2 days after the scheduled Webinar.

Reservations are on a first-come, first-served basis.

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