Evidence map›Paper›PMID 42144278›Full record

ArticlePharmacoepidemiology and drug safety2026

Transportability Analyses in Comparative Effectiveness Research: A Conceptual Framework and Methodological Principles Endorsed by the International Society for Pharmacoepidemiology.

Blythe Adamson, Wei Liu, Stephen Duffield, Anouk Déruaz-Luyet, Dimitri Bennett, Montse Soriano Gabarró, Mehmet Burcu, Daniela Claudia Moga, Sarah Welby, Tianze Jiao and 2 more

Abstract read
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

12 authors.

Blythe AdamsonThe Comparative Health Outcomes, Policy and Economics Institute, School of Pharmacy, University of Washington, Seattle, Washington, USA.ORCID https://orcid.org/0000-0003-4251-2912
Wei LiuOffice of Surveillance and Epidemiology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA.
Stephen DuffieldNational Institute for Health and Care Excellence, London, UK.
Anouk Déruaz-LuyetBoehringer Ingelheim International GmbH, Ingelheim am Rhein, Germany.
Dimitri BennettTakeda Development Center Americas, Inc., Cambridge, Massachusetts, USA.ORCID https://orcid.org/0000-0002-8387-9342
Montse Soriano GabarróIndependent Researcher, Potsdam, Germany.ORCID https://orcid.org/0000-0002-3825-0182
Mehmet BurcuMerck & Co., Inc., Rahway, New Jersey, USA.
Daniela Claudia MogaUniversity of Kentucky, Lexington, Kentucky, USA.ORCID https://orcid.org/0000-0002-3648-8197
Sarah WelbyGSK, Wavre, Belgium.
Tianze JiaoUniversity of Florida, Gainesville, Florida, USA.ORCID https://orcid.org/0000-0002-2608-616X
Xuerong WenUniversity of Rhode Island, Kingston, Rhode Island, USA.ORCID https://orcid.org/0000-0002-4803-7895
Grammati SarriCytel, Inc, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

the problemTransportability considerations are increasingly important to answer research questions in comparative effectiveness research (CER) to support the transfer of evidence on medicinal products across countries or settings. As drug development costs rise and healthcare systems and professionals face economic and resource pressures, leveraging existing data and evidence generated across borders or settings can improve efficiency and inform decisions in product development and decision-making (regulatory, health technology assessment [HTA] and clinical care). Differences in population characteristics, healthcare systems, and data availability, including coding discrepancies, may present significant challenges to the transportability of CER evidence. Without rigorous methodological approaches, the utility of transportability analyses is limited. WHAT WE DID: This article provides a structured framework for considering transportability exercises in CER analyses. We outlined key methodological principles, when and why to use transportability exercises in CER, feasibility assessments including effect modifier identification and causal inference techniques such as weighting, outcome regression, and combined methods to guide transportability analytical approaches in CER. By synthesizing existing literature and expert insights, we identified opportunities and trade-offs in applying transportability methods to support decisions across the product lifecycle. STRATEGIES TO DISSEMINATE AND FACILITATE USE: To enhance the adoption of transportability analyses, we proposed best practices for researchers, regulators, HTA bodies, and industry stakeholders. These include early engagement with regulatory agencies and HTA bodies, transparent documentation of data assumptions, quality, fitness, and comparability assessments while ensuring robust analytical approaches. We also emphasized the need for standardized reporting guidelines and cross-country collaborations to validate transportability methods in real-world settings and communicate uncertainty in transported evidence.

conclusionsTransportability analyses offer a powerful tool for extending the applicability of CER findings across healthcare systems, improving evidence generation efficiency, and supporting global drug development and evaluation. By implementing best practices that promote a rigorous and transparent approach to the design and conduct of such analyses, stakeholders can maximize the value of transported treatment effects while ensuring scientific rigor and decision-making relevance. Future research should focus on empirical testing and validation of transportability methods targeting different questions across the product lifecycle and the development of harmonized regulatory and HTA methodological standards. "This manuscript is endorsed by the International Society for Pharmacoepidemiology (ISPE)." Official Endorsement was received on 5/13/26.

Indexed as

Comparative Effectiveness ResearchDrug DevelopmentPharmacoepidemiologyTechnology Assessment, BiomedicalDecision MakingHumansResearch Designcausal inferencecomparative effectiveness researchdecision‐makingexternal validitylifecycle managementtransportability

Identifiers

PMID42144278
PMCPMC13180502

What OpenQuestion holds

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LicenceCC BY
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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.