Evidence map›Paper›PMID 42163996›Full record

ArticleDrug design, development and therapy2026

Population Pharmacokinetics and Model-Informed Precision Dosing of Lenalidomide Incorporating Total and Unbound Plasma Concentrations in Renally Impaired Patients with Multiple Myeloma.

Hyeonji Kim, Sung-Soo Park, Suein Choi, Seunghoon Han, Sungpil Han, Yunbeom Lee, Ji Hyun Lee, Donghyun Kim, Hyeonsu Kim, Seungwon Yang and 2 more

Abstract read
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Article in Drug design, development and therapy, 2026. 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

What it found

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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

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

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.

Hyeonji KimDepartment of Pharmacy, College of Pharmacy, Kyung Hee University, Seoul, Republic of Korea.ORCID 0009-0000-0232-2618
Sung-Soo Park *Hematology Hospital, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.
Suein ChoiDepartment of Pharmacology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID 0000-0001-5438-7819
Seunghoon HanDepartment of Pharmacology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID 0000-0002-9976-5120
Sungpil HanDepartment of Pharmacology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID 0000-0002-4674-7682
Yunbeom LeeDepartment of Biomedical Science and Technology, Kyung Hee University, Seoul, Republic of Korea.
Ji Hyun LeeDepartment of Biomedical Science and Technology, Kyung Hee University, Seoul, Republic of Korea.
Donghyun KimDepartment of Pharmacy, College of Pharmacy, Kyung Hee University, Seoul, Republic of Korea.
Hyeonsu KimDepartment of Pharmacy, College of Pharmacy, Kyung Hee University, Seoul, Republic of Korea.
Seungwon YangDepartment of Pharmacy, College of Pharmacy, Kyung Hee University, Seoul, Republic of Korea.
Tyler ShuggDivision of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.
Eun Kyoung Chung *Department of Pharmacy, College of Pharmacy, Kyung Hee University, Seoul, Republic of Korea.ORCID 0000-0001-9200-2799

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To develop a population pharmacokinetic (PK) model of lenalidomide and propose model-informed precision dosing based on total and unbound concentrations in multiple myeloma (MM) patients with moderate-to-severe renal impairment (RI). Patients and Methods: Thirty MM patients orally receiving lenalidomide were prospectively enrolled with the following stratification based on renal function: 11 with an estimated glomerular filtration rate [eGFR] < 30 mL/min/1.73 m Results: A two-compartment model with linear protein binding best described both total and unbound plasma lenalidomide concentration-time data. Apparent unbound clearance (CL/F) increased with higher eGFR and body surface area (BSA), while apparent central volume of distribution (V Conclusion: Our model identifies eGFR and BSA as critical covariates for precision dosing of lenalidomide to optimize therapeutic exposure in MM patients with RI.

Indexed as

Antineoplastic AgentsLenalidomideModels, BiologicalMultiple MyelomaRenal InsufficiencyAdministration, OralAgedAged, 80 and overDose-Response Relationship, DrugFemaleGlomerular Filtration RateHumansMaleMiddle AgedMonte Carlo MethodProspective StudiesAntineoplastic AgentsLenalidomidebody surface areaestimated glomerular filtration rateMonte Carlo simulationnonlinear mixed-effects modelingpersonalized medicineprotein binding

Identifiers

PMID42163996
PMCPMC13186237

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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.