Evidence map›Paper›PMID 26954351›Full record

ArticleCurrent epidemiology reports2015

The active comparator, new user study design in pharmacoepidemiology: historical foundations and contemporary application.

Jennifer L Lund, David B Richardson, Til Stürmer

Abstract read
In one paragraph

Article in Current epidemiology reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 416 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
416citing papers in PubMed, 10 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

416 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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356 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jennifer L LundDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC.
David B RichardsonDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Til StürmerDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC.

Funding

Pilot & Feasibility ProgramP30DK124723 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI P Darrell Neufer · 2020 to 2026
$11.0M
UNC Oncology K12K12CA120780 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WILLIAM Y. KIM · 2007 to 2026
$9.6M
Propensity Scores and Preventive Drug Use in the ElderlyR01AG023178 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI STURMER, TIL · 2005 to 2014
$2.7M
NCI NIH HHS K12 CA120780NIA NIH HHS R01 AG023178NIDDK NIH HHS P30 DK124723
6 · The paper itself

Abstract

Better understanding of biases related to selective prescribing of, and adherence to, preventive treatments has led to improvements in the design and analysis of pharmacoepidemiologic studies. One influential development has been the "active comparator, new user" study design, which seeks to emulate the design of a head-to-head randomized controlled trial. In this review, we first discuss biases that may affect pharmacoepidemiologic studies and describe their direction and magnitude in a variety of settings. We then present the historical foundations of the active comparator, new user study design and explain how this design conceptually mitigates biases leading to a paradigm shift in pharmacoepidemiology. We offer practical guidance on the implementation of the study design using administrative databases. Finally, we provide an empirical example in which the active comparator, new user study design addresses biases that have previously impeded pharmacoepidemiologic studies.

Indexed as

confoundingpharmacoepidemiologyselection biasstudy design

Identifiers

PMID26954351
PMCPMC4778958

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.