Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Decision analysis can play an essential role in informing practice guidelines. The American Society of Hematology (ASH) thrombophilia guidelines have made a significant step forward in demonstrating how decision modeling integrated within GRADE (Grading of Recommendations Assessment, Developing, and Evaluation) methodology can advance the field of guideline development. Although the ASH model was transparent and understandable, it does, however, suffer from the certain limitations that may have generated potentially wrong recommendations. That is, the panel considered two models separately- after 3-6 months of index venous thromboembolism (VTE), the panel compared Thrombophilia Testing (A) vs. discontinuing anticoagulants (B) and Test (A) vs C (recommending indefinite anticoagulation to all patients) instead of considering all relevant options simultaneously (A vs. B vs. C). Our study aimed to avoid what we refer to as the omitted choice bias by integrating two ASH models into a single unifying threshold decision model. We analyzed 6 ASH panel's recommendations related to testing for thrombophilia in settings of "provoked" vs. "unprovoked" venous thromboembolism (VTE) and low vs. high-bleeding risk (total 12 recommendations). Our model disagreed with the ASH guidelines panels' recommendations in 4 of the 12 recommendations we considered. Considering all three options simultaneously, our model provided results that would have produced sounder recommendations for patient care. By revisiting the ASH guidelines methodology, we have not only improved recommendations for thrombophilia but also provided a method that can be easily applied to other clinical problems and promises to improve the current guidelines' methodology.
Decision analysis can play an essential role in informing practice guidelines. The American Society of Hematology (ASH) thrombophilia guidelines have made a significant step forward in demonstrating how decision modeling integrated within GRADE (Grading of Recommendations Assessment, Developing, and Evaluation) methodology can advance the field of guideline development. Although the ASH model was transparent and understandable, it does, however, suffer from the certain limitations that may have generated potentially wrong recommendations. That is, the panel considered two models separately- after 3-6 months of index venous thromboembolism (VTE), the panel compared Thrombophilia Testing (A) vs. discontinuing anticoagulants (B) and Test (A) vs C (recommending indefinite anticoagulation to all patients) instead of considering all relevant options simultaneously (A vs. B vs. C). Our study aimed to avoid what we refer to as the omitted choice bias by integrating two ASH models into a single unifying threshold decision model. We analyzed 6 ASH panel's recommendations related to testing for thrombophilia in settings of "provoked" vs. "unprovoked" venous thromboembolism (VTE) and low vs. high-bleeding risk (total 12 recommendations). Our model disagreed with the ASH guidelines panels' recommendations in 4 of the 12 recommendations we considered. Considering all three options simultaneously, our model provided results that would have produced sounder recommendations for patient care. By revisiting the ASH guidelines methodology, we have not only improved recommendations for thrombophilia but also provided a method that can be easily applied to other clinical problems and promises to improve the current guidelines' methodology.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.