Evidence map›Paper›PMID 39807817›Full record

ReviewClinical pharmacology and therapeutics2025

Advancing Principled Pharmacoepidemiologic Research to Support Regulatory and Healthcare Decision Making: The Era of Real-World Evidence.

Rohini K Hernandez, Cathy W Critchlow, Nancy Dreyer, Timothy L Lash, Robert F Reynolds, Henrik T Sørensen, Jeff L Lange, Nicolle M Gatto, Rachel E Sobel, Edward Chia-Cheng Lai and 5 more

Abstract readReview
In one paragraph

Review in Clinical pharmacology and therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. 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

15 authors.

Rohini K HernandezCenter for Observational Research, Amgen Inc., Thousand Oaks, California, USA.ORCID 0000-0002-4353-7292
Cathy W CritchlowReal World Evidence Strategies, Thousand Oaks, California, USA.
Nancy DreyerUniversity of North Carolina, Chapel Hill, North Carolina, USA.ORCID 0000-0003-0153-8286
Timothy L LashDepartment of Epidemiology, Emory University, Atlanta, Georgia, USA.ORCID 0000-0002-5240-5195
Robert F ReynoldsGlobal Epidemiology, GSK, New York, New York, USA.ORCID 0009-0009-1165-5612
Henrik T SørensenDepartment of Clinical Epidemiology and Center for Population Medicine, Aarhus University, Aarhus, Denmark.ORCID 0000-0003-4299-7040
Jeff L LangeCenter for Observational Research, Amgen Inc., Thousand Oaks, California, USA.ORCID 0000-0003-4973-2512
Nicolle M GattoAetion, New York, New York, USA.ORCID 0000-0002-9659-7811
Rachel E SobelRegeneron Pharmaceuticals, Tarrytown, New York, USA.ORCID 0000-0002-4492-9562
Edward Chia-Cheng LaiSchool of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.ORCID 0000-0002-5852-7652
Marieke SchoonenCenter for Observational Research, Amgen Ltd, Uxbridge, UK.ORCID 0000-0002-6618-8179
Jeffrey S BrownTriNetX, Cambridge, Massachusetts, USA.ORCID 0000-0002-9340-7189
Jennifer B ChristianTarget RWE, Durham, North Carolina, USA.ORCID 0000-0003-3696-834X
M Alan BrookhartDepartment of Population Health Sciences, Duke University, Durham, North Carolina, USA.
Brian D BradburyCenter for Observational Research, Amgen Inc., Thousand Oaks, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A compilation of factors over the past decade-including the availability of increasingly large and rich healthcare datasets, advanced technologies to extract unstructured information from health records and digital sources, advancement of principled study design and analytic methods to emulate clinical trials, and frameworks to support transparent study conduct-has ushered in a new era of real-world evidence (RWE). This review article describes the evolution of the RWE era, including pharmacoepidemiologic methods designed to support causal inferences regarding treatment effects, the role of regulators and other health authorities in establishing distributed real-world data networks enabling analytics at scale, and the many global guidance documents on principled methods of producing RWE. This article also highlights the growing opportunity for RWE to support decision making by regulators, health technology assessment groups, clinicians, patients, and other stakeholders and provides examples of influential RWE studies. RWE holds promise to address important questions that clinical trials typically do not answer about treatment benefits and risks, and to ultimately impact public health by helping to guide decision making across the healthcare ecosystem.

Indexed as

Decision MakingDelivery of Health CareEvidence-Based MedicinePharmacoepidemiologyHumansResearch DesignTechnology Assessment, Biomedical

Identifiers

PMID39807817
PMCPMC11924150

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.