The goal of this study was to develop an approach that can be used where baseline risk estimates that are directly applicable to prioritized patient-important outcomes are not available from published studies.
The McMaster University GRADE Centre and the ASH guideline panel for the prevention of VTE in surgical patients developed a modeling approach based on explicit assumptions about the distribution of symptoms, anatomical location, and severity of VTE events.
We applied the approach to derive modeled estimates of baseline risk. These estimates were used to calculated absolute measures of anticipated effects that informed the discussion of the evidence and the formulation of 30 guideline recommendations.
Our approach can assist guideline developers facing a lack of information about baseline risk estimates that directly apply to outcomes of interest. The use of modeled estimates increases transparency in the process and makes the baseline risk used by guideline experts explicit during their decision-making.
Copyright © 2021. Published by Elsevier Inc.
About The Expert
Gian Paolo Morgano
Wojtek Wiercioch
David R Anderson
Jan L Brożek
Nancy Santesso
Feng Xie
Adam Cuker
Robby Nieuwlaat
Elie A Akl
Andrea Darzi
Juan José Yepes-Nuñez
Itziar Exteandia-Ikobaltzeta
Maryam Rahman
Anita Rajasekhar
Frederick Rogers
Kari A O Tikkinen
Adolph J Yates
Philipp Dahm
Holger J Schünemann
References
PubMed