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 in | Journal of comparative effectiveness research Vol. 9; no. 9; pp. 603 - 614 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Future Medicine Ltd
01.06.2020
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Subjects | |
Online Access | Get full text |
ISSN | 2042-6305 2042-6313 2042-6313 |
DOI | 10.2217/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. |
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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 |
AuthorAffiliation_xml | – name: 5Pharmacoepidemiology, Bristol-Myers Squibb, Lawrenceville, NJ, USA – name: 2Statistics, Global Biometrics and Data Management, Pfizer Inc., New York City, NY, USA – name: 4Worldwide Health Economics and Outcomes Research, Bristol-Myers Squibb, Lawrenceville, NJ, USA – name: 6Patient Health & Impact, Outcomes & Evidence, Pfizer Inc., Groton, CT, USA – name: 1Centre for Observational Research & Data Sciences, Bristol-Myers Squibb, Uxbridge, UK – name: 3Patient Health & Impact, Outcomes & Evidence, Pfizer Ltd, Tadworth, UK |
Author_xml | – sequence: 1 givenname: Victoria orcidid: 0000-0002-3284-8896 surname: Allan fullname: Allan, Victoria organization: Centre for Observational Research & Data Sciences, Bristol-Myers Squibb, Uxbridge, UK – sequence: 2 givenname: Sreeram V surname: Ramagopalan fullname: Ramagopalan, Sreeram V organization: Centre for Observational Research & Data Sciences, Bristol-Myers Squibb, Uxbridge, UK – sequence: 3 givenname: Jack surname: Mardekian fullname: Mardekian, Jack organization: Statistics, Global Biometrics and Data Management, Pfizer Inc., New York City, NY, USA – sequence: 4 givenname: Aaron surname: Jenkins fullname: Jenkins, Aaron organization: Patient Health & Impact, Outcomes & Evidence, Pfizer Ltd, Tadworth, UK – sequence: 5 givenname: Xiaoyan surname: Li fullname: Li, Xiaoyan organization: Worldwide Health Economics and Outcomes Research, Bristol-Myers Squibb, Lawrenceville, NJ, USA – sequence: 6 givenname: Xianying surname: Pan fullname: Pan, Xianying organization: Pharmacoepidemiology, Bristol-Myers Squibb, Lawrenceville, NJ, USA – sequence: 7 givenname: Xuemei surname: Luo fullname: Luo, Xuemei organization: Patient Health & Impact, Outcomes & Evidence, Pfizer Inc., Groton, CT, USA |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32186922$$D View this record in MEDLINE/PubMed |
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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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