Evidence map›Paper›PMID 30666285›Full record

ArticleCurrent epidemiology reports2018

The importance and implications of comparator selection in pharmacoepidemiologic research.

Monica D'Arcy, Til Stürmer, Jennifer L Lund

Abstract read
In one paragraph

Article in Current epidemiology reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Comparative Safety of Different Antibiotic Regimens for the Treatment of Outpatient Community-Acquired Pneumonia Among Otherwise Healthy Adults.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
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  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Core Concepts in Pharmacoepidemiology: New-User Designs.Pharmacoepidemiology and drug safety · 2024
    Review
  19. Review
  20. Article
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.

Monica D'ArcyDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Til StürmerDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Jennifer L LundDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC.

Funding

UNC Oncology K12K12CA120780 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WILLIAM Y. KIM · 2007 to 2026
$9.6M
LINEBERGER CANCER CONTROL EDUCATION PROGRAMR25CA057726 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI EARP, JO ANNE L, RIBISL, KURT M. · 1992 to 2016
$8.0M
Propensity scores and preventive drug use in the elderlyR01AG056479 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Til Sturmer · 2017 to 2026
$5.0M
Propensity Scores and Preventive Drug Use in the ElderlyR01AG023178 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI STURMER, TIL · 2005 to 2014
$2.7M
Propensity scores and preventive drug use in the elderlyR56AG023178 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI STURMER, TIL · 2015 to 2015
$412k
NCI NIH HHS K12 CA120780NCI NIH HHS R25 CA057726NIA NIH HHS R01 AG023178NIA NIH HHS R01 AG056479NIA NIH HHS R56 AG023178
6 · The paper itself

Abstract

purpose of reviewPharmacoepidemiologic studies employing large databases are critical to evaluating the effectiveness and safety of drug exposures in large and diverse populations. Because treatment is not randomized, researchers must select a relevant comparison group for the treatment of interest. The comparator group can consist of individuals initiating: (1) a similarly indicated treatment (active comparator), (2) a treatment used for a different indication (inactive comparator) or (3) no particular treatment (non-initiators). Herein we review recent literature and describe considerations and implications of comparator selection in pharmacoepidemiologic studies. RECENT

findingsComparator selection depends on the scientific question and feasibility constraints. Because pharmacoepidemiologic studies rely on the choice to initiate or not initiate a specific treatment, rather than randomization, they are at-risk for confounding related to the comparator choice including: by indication, disease severity and frailty. We describe forms of confounding specific to pharmacoepidemiologic studies and discuss each comparator along with informative examples and a case study. We provide commentary on potential issues relevant to comparator selection in each study, highlighting the importance of understanding the population in whom the treatment is given and how patient characteristics are associated with the outcome. SUMMARY: Advanced statistical techniques may be insufficient for reducing confounding in observational studies. Evaluating the extent to which comparator selection may mitigate or induce systematic bias is a critical component of pharmacoepidemiologic studies.

Indexed as

comparator selectionconfoundingdetection biasnew userpharmacoepidemiology

Identifiers

PMID30666285
PMCPMC6338470

What OpenQuestion holds

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Registered trials

None linked

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.