Evidence map›Paper›PMID 41264019›Full record

ArticleCancer chemotherapy and pharmacology2025

Simulation of perioperative Ibrutinib withdrawal using a population pharmacokinetic model and sparse clinical concentration data.

Sakiko Kimura, Ken-Ichi Sako, Nao Kikkawa, Yuta Nakamaru, Shunsuke Matsuo, Kana Kusaba, Mai Fujita, Keisuke Kidoguchi, Sho Okamoto, Yukie Yoda and 2 more

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Article in Cancer chemotherapy and pharmacology, 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

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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Sakiko KimuraDepartment of Pharmacy, Saga University Hospital, 5-1-1 Nabeshima, Saga City, 849-8501, Japan. mochinag@cc.saga-u.ac.jp.
Ken-Ichi SakoDepartment of Clinical Pharmacy, Nihon Pharmaceutical University, Saitama, Japan.
Nao KikkawaDepartment of Pharmacy, Saga University Hospital, 5-1-1 Nabeshima, Saga City, 849-8501, Japan.
Yuta NakamaruDepartment of Clinical Pharmacy, Nihon Pharmaceutical University, Saitama, Japan.
Shunsuke MatsuoDepartment of Pharmacy, Saga University Hospital, 5-1-1 Nabeshima, Saga City, 849-8501, Japan.
Kana KusabaDivision of Hematology, Respiratory Medicine and Oncology, Department of Internal Medicine, Faculty of Medicine, Saga University, Saga City, Japan.
Mai FujitaDivision of Hematology, Respiratory Medicine and Oncology, Department of Internal Medicine, Faculty of Medicine, Saga University, Saga City, Japan.
Keisuke KidoguchiDivision of Hematology, Respiratory Medicine and Oncology, Department of Internal Medicine, Faculty of Medicine, Saga University, Saga City, Japan.
Sho OkamotoDivision of Hematology, Respiratory Medicine and Oncology, Department of Internal Medicine, Faculty of Medicine, Saga University, Saga City, Japan.
Yukie YodaDepartment of Surgery, Faculty of Medicine, Saga University, Saga City, Japan.
Shinya KimuraDivision of Hematology, Respiratory Medicine and Oncology, Department of Internal Medicine, Faculty of Medicine, Saga University, Saga City, Japan.
Chisato ShimanoeDepartment of Pharmacy, Saga University Hospital, 5-1-1 Nabeshima, Saga City, 849-8501, Japan.

Funding

Grant-in-Aid for Scientific Research (C) from the Japan Society for the Promotion of Science 22K06769
6 · The paper itself

Abstract

purposeTreatment with the Bruton tyrosine kinase inhibitor ibrutinib carries a significant risk of bleeding; therefore, the risk-benefit assessment regarding withholding ibrutinib pre- and post-surgery should be considered based on the type of surgery being planned. However, there is no optimal rationale regarding ibrutinib withdrawal during the perioperative period. This exploratory study aimed to generate hypotheses regarding perioperative management of ibrutinib therapy by simulating individual pharmacokinetic profiles using a previously reported population pharmacokinetic (PopPK) model.

methodsPlasma levels of ibrutinib were measured in patients receiving ibrutinib and at high risk of bleeding at Saga University Hospital. Using Phoenix NLME, Bayesian estimation, based on a previously reported PopPK model incorporating actual plasma concentrations measured in individual patients, was employed to simulate perioperative withdrawal scenarios.

resultsFive patients were enrolled. After a withdrawal period of 3-7 days there were no bleeding events in patients that underwent surgery with a low bleeding risk; however, bleeding events occurred in one patient that underwent gastrectomy with moderate or higher bleeding risk. The AUC

conclusionPerioperative withdrawal of ibrutinib was explored using a previously reported PopPK model in combination with sparse plasma concentration data obtained from patients in real-world clinical settings, including those undergoing surgery. This exploratory study suggests that reliance on plasma concentration data alone might be inadequate for determining the optimal perioperative withdrawal period of ibrutinib.

Indexed as

Models, BiologicalProtein Kinase InhibitorsPyrazolesPyrimidinesAdenineAgammaglobulinaemia Tyrosine KinaseAgedBayes TheoremComputer SimulationFemaleHemorrhageHumansMaleMiddle AgedPerioperative CarePiperidinesAdenineAgammaglobulinaemia Tyrosine KinaseibrutinibPiperidinesProtein Kinase InhibitorsPyrazolesPyrimidinesIbrutinibPerioperative drug withdrawalPharmacometrics

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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.