Evidence map›Paper›PMID 20354968›Full record

ReviewPharmacoepidemiology and drug safety2010

Instrumental variable methods in comparative safety and effectiveness research.

M Alan Brookhart, Jeremy A Rassen, Sebastian Schneeweiss

Registry-linked trialAbstract readReview
In one paragraph

Review in Pharmacoepidemiology and drug safety, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05016505 (A Randomized Controlled Trial to Support Smoke-Free Policy Compliance in Public Housing), which is not on this map. Cited by 134 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
134citing papers in PubMed, 3 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.

NCT05016505 nacompletednot on this mapstarted 2022, after this paper: background citation

A Randomized Controlled Trial to Support Smoke-Free Policy Compliance in Public Housing

TypeinterventionalSponsorColumbia UniversityRan2022 to 2025Enrolled405ConditionsSmoking, Smoking Cessation, Smoking Reduction, Smoking BehaviorsArmsReduction (relocation and reduction of personal smoking) and cessation, Resident Endorsement
3 · Its place in the literature

Who cites it

134 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Pharmacoepidemiology: An Overview.Journal of clinical medicine · 2023
    Review
  18. Article
  19. Article
  20. Article

74 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.

M Alan BrookhartDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital & Harvard Medical School, Boston, MA 27599-7435, USA. abrookhart@unc.edu
Jeremy A Rassen
Sebastian Schneeweiss

Funding

Hierarchical models of prescription drug use in the elderlyK25AG027400 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BROOKHART, MAURICE ALAN · 2006 to 2010
$653k
Comparative effectiveness methods for evaluation of in-hospital exposuresK01HS018088 · AHRQ · BRIGHAM AND WOMEN'S HOSPITAL · PI RASSEN, JEREMY A · 2009 to 2012
$537k
AHRQ HHS 1 K01 HS018088AHRQ HHS K01 HS018088NIA NIH HHS K25 AG027400NIA NIH HHS K25AG027400PHS HHS 290-2005-0016-I-TO3-WA1
6 · The paper itself

Abstract

Instrumental variable (IV) methods have been proposed as a potential approach to the common problem of uncontrolled confounding in comparative studies of medical interventions, but IV methods are unfamiliar to many researchers. The goal of this article is to provide a non-technical, practical introduction to IV methods for comparative safety and effectiveness research. We outline the principles and basic assumptions necessary for valid IV estimation, discuss how to interpret the results of an IV study, provide a review of instruments that have been used in comparative effectiveness research, and suggest some minimal reporting standards for an IV analysis. Finally, we offer our perspective of the role of IV estimation vis-à-vis more traditional approaches based on statistical modeling of the exposure or outcome. We anticipate that IV methods will be often underpowered for drug safety studies of very rare outcomes, but may be potentially useful in studies of intended effects where uncontrolled confounding may be substantial.

Indexed as

Drug-Related Side Effects and Adverse ReactionsEpidemiologic Research DesignComparative Effectiveness ResearchConfounding Factors, EpidemiologicHumansModels, Statistical

Identifiers

PMID20354968
PMCPMC2886161

What OpenQuestion holds

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Registered trials

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.