Evidence map›Paper›PMID 37232825›Full record

ArticleCurrent oncology (Toronto, Ont.)2023

Plasma Cabozantinib Level Measurement in Patients with Renal Cell and Hepatocellular Carcinomas Using a Simple HPLC-UV Method Suitable for Clinical Application.

Takeo Yasu, Yoshito Gando, Ryosuke Nishijima, Risa Ikuta, Motofumi Suzuki, Mikio Shirota

Open access · goldAbstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2023. 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
0.8field-weighted citation impact, top 25% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 1 country.

Takeo YasuDepartment of Medicinal Therapy Research, Pharmaceutical Education and Research Center, Meiji Pharmaceutical University, Tokyo 204-8588, Japan.ORCID 0000-0003-0587-0091
Yoshito GandoDepartment of Medicinal Therapy Research, Pharmaceutical Education and Research Center, Meiji Pharmaceutical University, Tokyo 204-8588, Japan.ORCID 0000-0002-8826-2296
Ryosuke NishijimaDepartment of Medicinal Therapy Research, Pharmaceutical Education and Research Center, Meiji Pharmaceutical University, Tokyo 204-8588, Japan.
Risa IkutaBokutoh Hospital-Meiji Pharmaceutical University Joint Research Center, Tokyo 130-8575, Japan.
Motofumi SuzukiDepartment of Urology, Tokyo Metropolitan Bokutoh Hospital, Tokyo 130-8575, Japan.
Mikio ShirotaBokutoh Hospital-Meiji Pharmaceutical University Joint Research Center, Tokyo 130-8575, Japan.
Meiji Pharmaceutical University · JPTokyo Metropolitan Bokutoh Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cabozantinib, which is used to treat renal cell and hepatocellular carcinomas, is often associated with dose-dependent adverse events. Monitoring the levels of cabozantinib in the blood may maximize the therapeutic effect and prevent serious adverse events. In this study, we developed a high-performance liquid chromatography-ultraviolet (HPLC-UV) method of measuring plasma cabozantinib concentration. Human plasma samples (50 µL) were processed by simple deproteinization with acetonitrile, followed by chromatographic separation on a reversed-phase column with an isocratic mobile phase of 0.5% KH₂PO

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsAnilidesChromatography, High Pressure LiquidHumansPyridinesAnilidescabozantinibPyridinescabozantinibhigh-performance liquid chromatography–ultravioletplasma concentrationtherapeutic drug monitoring

Identifiers

PMID37232825
PMCPMC10217095
OpenAlexW4378347388

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.