Evidence map›Paper›PMID 40550206›Full record

ArticleJournal of neurosurgery. Case lessons2025

Staged carotid artery stenting for nilotinib-induced cervical internal carotid artery stenosis: illustrative case.

Kakeru Kushino, Tomoya Kamide, Takashi Muranaka, Yoka Hirano, Kenshu Nogami, Sho Takata, Daisuke Wajima, Kouichi Misaki, Mitsutoshi Nakada

Abstract read
In one paragraph

Article in Journal of neurosurgery. Case lessons, 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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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

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

9 authors.

Kakeru KushinoDepartment of Neurosurgery, Kanazawa University, Kanazawa, Ishikawa, Japan.
Tomoya KamideDepartment of Neurosurgery, Kanazawa University, Kanazawa, Ishikawa, Japan.
Takashi MuranakaDepartment of Neurosurgery, Kanazawa University, Kanazawa, Ishikawa, Japan.
Yoka HiranoDepartment of Neurosurgery, Kanazawa University, Kanazawa, Ishikawa, Japan.ORCID 0009-0005-9503-7598
Kenshu NogamiDepartment of Neurosurgery, Kanazawa University, Kanazawa, Ishikawa, Japan.ORCID 0000-0002-7328-3457
Sho TakataDepartment of Neurosurgery, Kanazawa University, Kanazawa, Ishikawa, Japan.
Daisuke WajimaDepartment of Neurosurgery, Kanazawa University, Kanazawa, Ishikawa, Japan.ORCID 0009-0007-1372-3450
Kouichi MisakiDepartment of Neurosurgery, Kanazawa University, Kanazawa, Ishikawa, Japan.
Mitsutoshi NakadaDepartment of Neurosurgery, Kanazawa University, Kanazawa, Ishikawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNilotinib is known to cause vascular adverse events. No case of staged carotid artery stenting (CAS) for cervical internal carotid artery (ICA) stenosis by nilotinib has been reported. This report describes a case of staged CAS for nilotinib-induced cervical ICA stenosis. OBSERVATIONS: A 67-year-old man who had been receiving nilotinib for 13 years for chronic myelogenous leukemia (CML) and had undergone stent placement for arteriosclerosis obliterans 10 years after starting nilotinib treatment developed transient right hemiparesis. MRI and MR angiography showed disseminated high-intensity areas in the left hemisphere and severe stenosis of the left cervical ICA. Single-photon emission CT revealed severe steal phenomenon in the left hemisphere. Therefore, a staged CAS was performed. He made good progress to recovery and was discharged a week after the endovascular surgery. LESSONS: An increasing number of patients are being treated with nilotinib because of its effectiveness in treating CML. Therefore, clinicians should recognize that patients treated with nilotinib may develop adverse vascular events, including those affecting the cervical and intracranial arteries. https://thejns.org/doi/10.3171/CASE25153.

Indexed as

cervical carotid artery stenosisnilotinibstaged carotid artery stentingtyrosine kinase inhibitor

Identifiers

PMID40550206
PMCPMC12184530

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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.