Evidence map›Paper›PMID 37221226›Full record

ArticleScientific reports2023

Cross-species comparison in nonclinical pharmacokinetics of lenvatinib by a simple HPLC with ultraviolet detection.

Hitoshi Mizuo, Yuji Mano

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 21% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Pharmacokinetic profile andDrug delivery · 2025
    Article
  2. Review
  3. Preparation,Pharmaceutical nanotechnology · 2025
    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

2 authors at 1 institution in 1 country.

Hitoshi MizuoGlobal Drug Metabolism and Pharmacokinetics, Eisai Co., Ltd., Tokodai 5-1-3, Tsukuba, Ibaraki, 300-2635, Japan.
Yuji ManoGlobal Drug Metabolism and Pharmacokinetics, Eisai Co., Ltd., Tokodai 5-1-3, Tsukuba, Ibaraki, 300-2635, Japan. y2-mano@hhc.eisai.co.jp.
Eisai (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lenvatinib (Lenvima) is a tyrosine kinase inhibitor on the market and has been used for the treatment of various types of cancer. It is important to understand differences in pharmacokinetics (PK) between nonclinical animals and humans, and thus, we evaluated PK of lenvatinib in mice, rats, dogs, and monkeys. A simple assay for lenvatinib was developed by high performance liquid chromatography with ultraviolet detection and validated in accordance with the bioanalytical guidelines. Lenvatinib was quantifiable at 5-100,000 ng/mL using 50 μL of plasma. Accuracy and precision in the intra- and inter-batch reproducibility were within the acceptance criteria, indicating a robust assay. Lenvatinib was intravenously or orally administered to mice, rats, dogs, and monkeys to fully characterize the cross-species PK. Total clearance and volume of distribution were relatively low and bioavailability of lenvatinib was approximately 64-78% in all the species tested. PK of lenvatinib in mice and rats after oral dose was almost linear at the doses ranging from 3 to 30 mg/kg. An empirical allometric scaling successfully predicted oral systemic exposure of lenvatinib in humans. Collectively, PK profiles of lenvatinib in nonclinical animals were well characterized and were useful for PK prediction in humans.

Indexed as

Phenylurea CompoundsQuinolinesAnimalsChromatography, High Pressure LiquidDogsHumansMiceRatsReproducibility of ResultslenvatinibPhenylurea CompoundsQuinolines

Identifiers

PMID37221226
PMCPMC10205807
OpenAlexW4377940460

What OpenQuestion holds

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LicenceCC BY
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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.