Literature DB >> 26507307

Counterpoint: the treatment decision design.

M Alan Brookhart.   

Abstract

The comparative new-user design is a principled approach to learning about the relative risks and benefits of starting different treatments in patients who have no history of use of the treatments being studied. Vandenbroucke and Pearce (Am J Epidemiol. 2015;182(10):826-833) discuss some problems inherent in incident exposure designs and argue that epidemiology may be harmed by a rigid requirement that follow-up can only begin at first exposure. In the present counterpoint article, a range of problems in pharmacoepidemiology that do not necessarily require that observation begin at first exposure are discussed. For example, among patients who are past or current users of a medication, we might want to know whether treatment should be augmented, switched, restarted, or discontinued. To answer these questions, a generalization of the new-user design, the treatment decision design, which identifies cohorts anchored at times when treatment decisions are being made, such as the evaluation of laboratory parameters, is discussed. The design aims to provide estimates that are directly relevant to physicians and patients, helping them to better understand the risks and benefits of the different treatment choices that they are considering.
© The Author 2015. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  pharmacoepidemiology; study design

Mesh:

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Year:  2015        PMID: 26507307      PMCID: PMC4634307          DOI: 10.1093/aje/kwv214

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  32 in total

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2.  Confounding by indication.

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3.  A basic study design for expedited safety signal evaluation based on electronic healthcare data.

Authors:  Sebastian Schneeweiss
Journal:  Pharmacoepidemiol Drug Saf       Date:  2010-08       Impact factor: 2.890

4.  Selective prescribing led to overestimation of the benefits of lipid-lowering drugs.

Authors:  Robert J Glynn; Sebastian Schneeweiss; Philip S Wang; Raia Levin; Jerry Avorn
Journal:  J Clin Epidemiol       Date:  2006-05-26       Impact factor: 6.437

5.  Causal Inference Under Multiple Versions of Treatment.

Authors:  Tyler J VanderWeele; Miguel A Hernán
Journal:  J Causal Inference       Date:  2013-05-01

6.  Risk of death in elderly users of conventional vs. atypical antipsychotic medications.

Authors:  Philip S Wang; Sebastian Schneeweiss; Jerry Avorn; Michael A Fischer; Helen Mogun; Daniel H Solomon; M Alan Brookhart
Journal:  N Engl J Med       Date:  2005-12-01       Impact factor: 91.245

Review 7.  Thiazide diuretics in advanced chronic kidney disease.

Authors:  Rajiv Agarwal; Arjun D Sinha
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8.  Evaluating medication effects outside of clinical trials: new-user designs.

Authors:  Wayne A Ray
Journal:  Am J Epidemiol       Date:  2003-11-01       Impact factor: 4.897

9.  Overadjustment bias and unnecessary adjustment in epidemiologic studies.

Authors:  Enrique F Schisterman; Stephen R Cole; Robert W Platt
Journal:  Epidemiology       Date:  2009-07       Impact factor: 4.822

10.  Point: incident exposures, prevalent exposures, and causal inference: does limiting studies to persons who are followed from first exposure onward damage epidemiology?

Authors:  Jan Vandenbroucke; Neil Pearce
Journal:  Am J Epidemiol       Date:  2015-10-26       Impact factor: 4.897

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  27 in total

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Authors:  Mugdha Gokhale; John B Buse; Michele Jonsson Funk; Jennifer Lund; Virginia Pate; Ross J Simpson; Til Stürmer
Journal:  Diabetes Obes Metab       Date:  2017-03-17       Impact factor: 6.577

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Authors:  Magdalene M Assimon; M Alan Brookhart; Jason P Fine; Gerardo Heiss; J Bradley Layton; Jennifer E Flythe
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3.  Association of Continuation of Loop Diuretics at Hemodialysis Initiation with Clinical Outcomes.

Authors:  Scott Sibbel; Adam G Walker; Carey Colson; Francesca Tentori; Steven M Brunelli; Jennifer Flythe
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4.  Authors' Reply.

Authors:  Magdalene M Assimon; Jennifer E Flythe
Journal:  J Am Soc Nephrol       Date:  2019-06-03       Impact factor: 10.121

5.  Comparative Cardiac Safety of Selective Serotonin Reuptake Inhibitors among Individuals Receiving Maintenance Hemodialysis.

Authors:  Magdalene M Assimon; M Alan Brookhart; Jennifer E Flythe
Journal:  J Am Soc Nephrol       Date:  2019-03-18       Impact factor: 10.121

6.  Safe Expectations: Current State and Future Directions for Medication Safety in Pregnancy Research.

Authors:  Mollie E Wood; Susan E Andrade; Sengwee Toh
Journal:  Clin Ther       Date:  2019-09-25       Impact factor: 3.393

7.  Methodologic Issues When Estimating Risks in Pharmacoepidemiology.

Authors:  Jessie K Edwards; Laura L Hester; Mugdha Gokhale; Catherine R Lesko
Journal:  Curr Epidemiol Rep       Date:  2016-09-13

8.  Methodological considerations when analysing and interpreting real-world data.

Authors:  Til Stürmer; Tiansheng Wang; Yvonne M Golightly; Alex Keil; Jennifer L Lund; Michele Jonsson Funk
Journal:  Rheumatology (Oxford)       Date:  2020-01-01       Impact factor: 7.580

9.  Relationship between ever reporting depressive symptoms and all-cause mortality in a cohort of HIV-infected adults in routine care.

Authors:  Angela M Bengtson; Brian W Pence; Richard Moore; Matthew J Mimiaga; William Christopher Mathews; Amy Heine; Bradley N Gaynes; Sonia Napravnik; Katerina Christopoulos; Heidi M Crane; Michael J Mugavero
Journal:  AIDS       Date:  2017-04-24       Impact factor: 4.177

10.  Primary non-adherence and the new-user design.

Authors:  Xiaojuan Li; Stephen R Cole; Daniel Westreich; M Alan Brookhart
Journal:  Pharmacoepidemiol Drug Saf       Date:  2018-02-19       Impact factor: 2.890

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