Propensity score matching and inverse probability of treatment weighting to address confounding by indication in comparative effectiveness research of oral anticoagulants

After decades of warfarin being the only oral anticoagulant (OAC) widely available for stroke prevention in atrial fibrillation, four direct OACs (apixaban, dabigatran, edoxaban and rivaroxaban) were approved after demonstrating noninferior efficacy and safety versus warfarin in randomized controlle...

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Published inJournal of comparative effectiveness research Vol. 9; no. 9; pp. 603 - 614
Main Authors Allan, Victoria, Ramagopalan, Sreeram V, Mardekian, Jack, Jenkins, Aaron, Li, Xiaoyan, Pan, Xianying, Luo, Xuemei
Format Journal Article
LanguageEnglish
Published England Future Medicine Ltd 01.06.2020
Subjects
Online AccessGet full text
ISSN2042-6305
2042-6313
2042-6313
DOI10.2217/cer-2020-0013

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Abstract After decades of warfarin being the only oral anticoagulant (OAC) widely available for stroke prevention in atrial fibrillation, four direct OACs (apixaban, dabigatran, edoxaban and rivaroxaban) were approved after demonstrating noninferior efficacy and safety versus warfarin in randomized controlled trials. Comparative effectiveness research of OACs based on real-world data provides complementary information to randomized controlled trials. Propensity score matching and inverse probability of treatment weighting are increasingly popular methods used to address confounding by indication potentially arising in comparative effectiveness research due to a lack of randomization in treatment assignment. This review describes the fundamentals of propensity score matching and inverse probability of treatment weighting, appraises differences between them and presents applied examples to elevate understanding of these methods within the atrial fibrillation field.
AbstractList After decades of warfarin being the only oral anticoagulant (OAC) widely available for stroke prevention in atrial fibrillation, four direct OACs (apixaban, dabigatran, edoxaban and rivaroxaban) were approved after demonstrating noninferior efficacy and safety versus warfarin in randomized controlled trials. Comparative effectiveness research of OACs based on real-world data provides complementary information to randomized controlled trials. Propensity score matching and inverse probability of treatment weighting are increasingly popular methods used to address confounding by indication potentially arising in comparative effectiveness research due to a lack of randomization in treatment assignment. This review describes the fundamentals of propensity score matching and inverse probability of treatment weighting, appraises differences between them and presents applied examples to elevate understanding of these methods within the atrial fibrillation field.
After decades of warfarin being the only oral anticoagulant (OAC) widely available for stroke prevention in atrial fibrillation, four direct OACs (apixaban, dabigatran, edoxaban and rivaroxaban) were approved after demonstrating noninferior efficacy and safety versus warfarin in randomized controlled trials. Comparative effectiveness research of OACs based on real-world data provides complementary information to randomized controlled trials. Propensity score matching and inverse probability of treatment weighting are increasingly popular methods used to address confounding by indication potentially arising in comparative effectiveness research due to a lack of randomization in treatment assignment. This review describes the fundamentals of propensity score matching and inverse probability of treatment weighting, appraises differences between them and presents applied examples to elevate understanding of these methods within the atrial fibrillation field.After decades of warfarin being the only oral anticoagulant (OAC) widely available for stroke prevention in atrial fibrillation, four direct OACs (apixaban, dabigatran, edoxaban and rivaroxaban) were approved after demonstrating noninferior efficacy and safety versus warfarin in randomized controlled trials. Comparative effectiveness research of OACs based on real-world data provides complementary information to randomized controlled trials. Propensity score matching and inverse probability of treatment weighting are increasingly popular methods used to address confounding by indication potentially arising in comparative effectiveness research due to a lack of randomization in treatment assignment. This review describes the fundamentals of propensity score matching and inverse probability of treatment weighting, appraises differences between them and presents applied examples to elevate understanding of these methods within the atrial fibrillation field.
Author Jenkins, Aaron
Mardekian, Jack
Luo, Xuemei
Ramagopalan, Sreeram V
Allan, Victoria
Pan, Xianying
Li, Xiaoyan
AuthorAffiliation 2Statistics, Global Biometrics and Data Management, Pfizer Inc., New York City, NY, USA
4Worldwide Health Economics and Outcomes Research, Bristol-Myers Squibb, Lawrenceville, NJ, USA
6Patient Health & Impact, Outcomes & Evidence, Pfizer Inc., Groton, CT, USA
3Patient Health & Impact, Outcomes & Evidence, Pfizer Ltd, Tadworth, UK
5Pharmacoepidemiology, Bristol-Myers Squibb, Lawrenceville, NJ, USA
1Centre for Observational Research & Data Sciences, Bristol-Myers Squibb, Uxbridge, UK
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ContentType Journal Article
Copyright 2020 Victoria Allan
2020. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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Keywords confounding by indication
comparative effectiveness research
atrial fibrillation
propensity score matching
inverse probability of treatment weighting
oral anticoagulants
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Snippet After decades of warfarin being the only oral anticoagulant (OAC) widely available for stroke prevention in atrial fibrillation, four direct OACs (apixaban,...
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SubjectTerms Administration, Oral
Anticoagulants
Anticoagulants - administration & dosage
Anticoagulants - therapeutic use
atrial fibrillation
Atrial Fibrillation - drug therapy
Atrial Fibrillation - prevention & control
Bias
Cardiac arrhythmia
Case studies
Comparative Effectiveness Research
confounding by indication
Humans
inverse probability of treatment weighting
Medical prognosis
oral anticoagulants
Patients
Propensity Score
propensity score matching
Stroke
Stroke - drug therapy
Stroke - prevention & control
Systematic review
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Title Propensity score matching and inverse probability of treatment weighting to address confounding by indication in comparative effectiveness research of oral anticoagulants
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