Evidence map›Paper›PMID 39843663›Full record

ArticleThe AAPS journal2025

Operating Characteristics of the Simulated Healthy Participant Approach in Impaired Clearance Studies.

Sana Gupta, Vivek Purohit, Yuchen Wang, John P Prybylski

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Article in The AAPS journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Sana GuptaDepartment of Statistics, University of Connecticut, Storrs, Connecticut, U.S.A.ORCID 0000-0002-8595-107X
Vivek PurohitPharmacometrics and Systems Pharmacology, Pfizer, Groton, Connecticut, U.S.A.ORCID 0000-0002-9019-0789
Yuchen WangPharmacometrics and Systems Pharmacology, Pfizer, South San Francisco, California , U.S.A.ORCID 0009-0000-2351-2090
John P PrybylskiPharmacometrics and Systems Pharmacology, Pfizer, Groton, Connecticut, U.S.A.. john.prybylski@pfizer.com.ORCID 0000-0001-5802-0539

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Minimizing harm is a cornerstone of ethical research practices. A drug that has undergone extensive clinical pharmacological testing in healthy participants (HPs) and a diverse selection of patients can be described with a sufficiently predictive population pharmacokinetic (PopPK) model. In impaired clearance trials, recruitment is minimized and underpowered for all but major exposure differences. Virtual HP arms have been reported to support similar conclusions to conventional impaired clearance studies, and further minimize potential harm of drug exposure without medical benefit by eliminating an arm of the study. However, the extent to which the conventional analysis of impairment studies compare to the simulation approach is unknown. Here we assess the operating characteristics of the virtual cohort approach along with the conventional approach through controlled simulations. These simulations included a simple, widely accessible PopPK model and several internal models that have been used in a previous meta-analysis of the virtual cohort approach. In the pairwise comparisons assessed, the virtual cohort simulation approach had greater power per sample size than the conventional approach and the same power under the null hypothesis. Given key methodological differences, it is recommended that the simulation and conventional approaches be treated as having approximately the same power under equivalent conditions. These results provide a strong justification for the use of the virtual cohort approach when an adequate PopPK model is available, minimizing unnecessary exposure to study drugs that will not benefit healthy study participants.

Indexed as

Computer SimulationHealthy VolunteersModels, BiologicalPharmacokineticsHumansMetabolic Clearance Rateimpaired clearancepharmacokineticspharmacometricssimulationvirtual

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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.